Citation metrics available for years (2015-2018)
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Publications citing datasets related to QUIKSCAT
Citation metrics available for years (2015-2018)
| Year | Citation | Dataset |
|---|---|---|
| 2015 | Estimates of net community production in the Southern Ocean determined from time series observations (2002–2011) of nutrients, dissolved inorganic carbon, and …, Deep Sea Research Part II: Topical Studies in Oceanography,http://dx.doi.org/10.1016/j.dsr2.2014.12.014 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Seasonal SSH variability of the northern South China Sea, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0193.1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | SeaPac, 2014: QuikSCAT level 2B ocean wind vectors in 12.5km slice composites, version 3. PO.DAAC, accessed 1 July 2014, doi:https://doi.org/10.5067/QSX12-L2B01. Google Scholar Estimation of time-averaged surface divergence and vorticity from satellite ocean vector winds, Journal of Climate,https://doi.org/10.1175/JCLI-D-15-0119.1 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2015 | Seasonal SSH variability of the northern South China Sea, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0193.1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Seasonal SSH variability of the northern South China Sea, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0193.1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Seasonal variability of salinity and salt transport in the northern Indian Ocean, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0210.1 | OSCAR 1 degree ocean surface currents |
| 2015 | Seasonal variability of salinity and salt transport in the northern Indian Ocean, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0210.1 | OSCAR third degree resolution ocean surface currents |
| 2015 | Seasonality of the transitional region of the California Current System off Baja California, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010405 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Evaluation of the simulation capability of the Wavewatch III model for Pacific Ocean wave, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0737-1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | SeaWinds wind climate data record validation report | SeaWinds on QuikSCAT Level 2A Surface Flagged Sigma0 and Attenuations in 25Km Swath Grid Version 2 |
| 2015 | Evaluation of the simulation capability of the Wavewatch III model for Pacific Ocean wave, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0737-1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Second‐order structure function analysis of scatterometer winds over the T ropical P acific, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC009992 | SeaWinds on QuikSCAT Level 2B Ocean Wind Vectors in 25 Km Swath Grid Version 2 |
| 2015 | Ships and offshore structures xix,https://doi.org/10.1201/b18898 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2015 | Shutdown of convection triggers increase of surface chlorophyll, Journal of Marine Systems,https://doi.org/10.1016/j.jmarsys.2014.02.009 | SeaWinds on QuikSCAT Level 3 Daily Gridded Ocean Wind Vectors (JPL Version 2) |
| 2015 | PODAAC (d). http://podaac.jpl.nasa.gov/dataset/QSCAT_BYU_L3_OW_SIGMA0_GLOBAL_RECTANGULAR_BROWSE_MAPS_FULL Spaceborne altimetry and scatterometry backscattering signatures at C-and Ku-bands over West Africa, Remote Sensing of Environment,https://doi.org/10.1016/j.rse.2014.12.005 | SeaWinds on QuikSCAT Level 3 Sigma-0 Global Rectangular Browse Maps (Complete) |
| 2015 | Evaluation of the simulation capability of the Wavewatch III model for Pacific Ocean wave, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0737-1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Evaluation of the simulation capability of the Wavewatch III model for Pacific Ocean wave, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0737-1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Evaluation of the simulation capability of the Wavewatch III model for Pacific Ocean wave, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0737-1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Evolution and sub-surface characteristics of a sea-surface temperature filament and front in the northeastern Arabian Sea during November–December 2012, Journal of Marine Systems,https://doi.org/10.1016/j.jmarsys.2015.05.003 | OSCAR third degree resolution ocean surface currents |
| 2015 | Surface boundary layer evolution and near‐inertial wind power input, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2015JC011213 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Features of near-inertial motions observed on the northern South China Sea shelf during the passage of two typhoons, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0594-y | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Features of near-inertial motions observed on the northern South China Sea shelf during the passage of two typhoons, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0594-y | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Features of near-inertial motions observed on the northern South China Sea shelf during the passage of two typhoons, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0594-y | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Features of near-inertial motions observed on the northern South China Sea shelf during the passage of two typhoons, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0594-y | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Features of near-inertial motions observed on the northern South China Sea shelf during the passage of two typhoons, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0594-y | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Francisco Leitão, Estuaries and Coasts,https://doi.org/10.1007/s12237-015-9990-y | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | ESR. 2009. OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. Dataset accessed (14 Feb. 2014). TRACKING VESSELS TO ILLEGAL POLLUTANT DISCHARGES USING MULTISOURCE VESSEL INFORMATION., 36th International Symposium on Remote Sensing of Environment,https://doi.org/10.5194/isprsarchives-XL-7-W3-927-2015 | OSCAR third degree resolution ocean surface currents |
| 2015 | Wavelet analysis of coastal-trapped waves along the China coast generated by winter storms in 2008, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-015-0701-0 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Weddell Sea export pathways from surface drifters, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0103.1 | OSCAR 1 degree ocean surface currents |
| 2015 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C., and Leidner, S. M.: Cross-calibrated, multi-platform ocean surface wind velocity product (MEaSUREs Project), Guide Document, Physical Oceanography Distributed Active Archive Center (PODAAC), JPL, Pasadena, Cali5 fornia, 18 May 2009, Version 1.0., 26 pp., 2009. Long-term variability of the South Adriatic circulation and phytoplankton biomass in relation to large-scale climatic pattern., Ocean Science Discussions,https://doi.org/10.5194/osd-12-203-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C., and Leidner, S. M.: Cross-calibrated, multi-platform ocean surface wind velocity product (MEaSUREs Project), Guide Document, Physical Oceanography Distributed Active Archive Center (PODAAC), JPL, Pasadena, Cali5 fornia, 18 May 2009, Version 1.0., 26 pp., 2009. Long-term variability of the South Adriatic circulation and phytoplankton biomass in relation to large-scale climatic pattern., Ocean Science Discussions,https://doi.org/10.5194/osd-12-203-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C., and Leidner, S. M.: Cross-calibrated, multi-platform ocean surface wind velocity product (MEaSUREs Project), Guide Document, Physical Oceanography Distributed Active Archive Center (PODAAC), JPL, Pasadena, Cali5 fornia, 18 May 2009, Version 1.0., 26 pp., 2009. Long-term variability of the South Adriatic circulation and phytoplankton biomass in relation to large-scale climatic pattern., Ocean Science Discussions,https://doi.org/10.5194/osd-12-203-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | A scatterometer geophysical model function for climate-quality winds: QuikSCAT Ku-2011, Journal of Atmospheric and Oceanic Technology,https://doi.org/10.1175/JTECH-D-15-0008.1 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2015 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C., and Leidner, S. M.: Cross-calibrated, multi-platform ocean surface wind velocity product (MEaSUREs Project), Guide Document, Physical Oceanography Distributed Active Archive Center (PODAAC), JPL, Pasadena, Cali5 fornia, 18 May 2009, Version 1.0., 26 pp., 2009. Long-term variability of the South Adriatic circulation and phytoplankton biomass in relation to large-scale climatic pattern., Ocean Science Discussions,https://doi.org/10.5194/osd-12-203-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C., and Leidner, S. M.: Cross-calibrated, multi-platform ocean surface wind velocity product (MEaSUREs Project), Guide Document, Physical Oceanography Distributed Active Archive Center (PODAAC), JPL, Pasadena, Cali5 fornia, 18 May 2009, Version 1.0., 26 pp., 2009. Long-term variability of the South Adriatic circulation and phytoplankton biomass in relation to large-scale climatic pattern., Ocean Science Discussions,https://doi.org/10.5194/osd-12-203-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Low‐salinity water off West Luzon Island in summer, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010465 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Low‐salinity water off West Luzon Island in summer, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010465 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Altimeter significant wave height data assimilation in the South China Sea using Ensemble Optimal Interpolation, Chinese journal of oceanology and limnology,https://doi.org/10.1007/s00343-014-4252-6 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | NASA/JPL. Web page: Physical Oceanography Distributed Active Archive Center. 2015. http://podaac.jpl.nasa.gov/. Online; accessed 01-June-2015. An improvement on the gas transfer velocity model with application to scatterometer data,https://doi.org/10.11606/T.21.2015.tde-07102015-143819 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Low‐salinity water off West Luzon Island in summer, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010465 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Low‐salinity water off West Luzon Island in summer, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010465 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Low‐salinity water off West Luzon Island in summer, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010465 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Analysis of Polar Mesocyclonic Surface Turbulent Fluxes in the Arctic System Reanalysis (ASRv1) Dataset | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2015 | Mesoscale variability in the habitat of the Humboldt C urrent krill, spring 2007, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010460 | SeaWinds on QuikSCAT Level 3 Daily Gridded Ocean Wind Vectors (JPL Version 2) |
| 2015 | PODAAC (Physical Oceanography Distributed Active Archive Center), Jet Propulsion Laboratory, Caltech: http://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_third-deg. Anomalous Appearance of Fish in Tambisan and Clams in Lumut during December 2013-January 2014: An Atmosphere-Ocean Interaction-Based Analysis, International Journal of Earth and Atmospheric Science | OSCAR third degree resolution ocean surface currents |
| 2015 | Aquarius scatterometer calibration, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,https://doi.org/10.1109/JSTARS.2015.2493449 | RapidScat Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 1.1 |
| 2015 | Multi-satellite time series of inherent optical properties in the California Current, Deep Sea Research Part II: Topical Studies in Oceanography,https://doi.org/10.1016/j.dsr2.2013.07.023 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Multi-scale processes drive benthic community structure in upwelling-affected coral reefs, Frontiers in Marine Science,https://doi.org/10.3389/fmars.2015.00002 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2015 | Multivariate Analysis of Extreme Physical, Biological and Chemical Patterns in the Dynamics of Aquatic Ecosystem, Journal of Environmental Protection,https://doi.org/10.4236/jep.2015.68080 | SeaWinds on QuikSCAT Level 3 Daily Gridded Ocean Wind Vectors (JPL Version 2) |
| 2015 | Natural variability of surface oceanographic conditions in the offshore Gulf of Mexico, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2014.12.007 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Natural variability of surface oceanographic conditions in the offshore Gulf of Mexico, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2014.12.007 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Changing seasonality of the Baltic Sea., Biogeosciences Discussions,https://doi.org/10.5194/bgd-12-18855-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Changing seasonality of the Baltic Sea., Biogeosciences Discussions,https://doi.org/10.5194/bgd-12-18855-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Natural variability of surface oceanographic conditions in the offshore Gulf of Mexico, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2014.12.007 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Natural variability of surface oceanographic conditions in the offshore Gulf of Mexico, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2014.12.007 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Natural variability of surface oceanographic conditions in the offshore Gulf of Mexico, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2014.12.007 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Characterization of the seascape used by juvenile and wintering adult Southern Giant Petrels from Patagonia Argentina, Estuarine, Coastal and Shelf Science,https://doi.org/10.1016/j.ecss.2014.12.007 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Characterization of the seascape used by juvenile and wintering adult Southern Giant Petrels from Patagonia Argentina, Estuarine, Coastal and Shelf Science,https://doi.org/10.1016/j.ecss.2014.12.007 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Characterization of the seascape used by juvenile and wintering adult Southern Giant Petrels from Patagonia Argentina, Estuarine, Coastal and Shelf Science,https://doi.org/10.1016/j.ecss.2014.12.007 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | CO2 flux variability in the Galician and Californian upwelling systems | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | CO2 flux variability in the Galician and Californian upwelling systems | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Orographic disturbances of surface winds over the shelf waters adjacent to South Georgia, Atmospheric Science Letters,https://doi.org/10.1002/asl2.519 | SeaWinds on QuikSCAT Level 3 Daily Gridded Ocean Wind Vectors (JPL Version 2) |
| 2015 | Phytoplankton phenology in the coastal upwelling region off central‐southern C hile (35° S–38° S): Time‐space variability, coupling to environmental factors, and …, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010330 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Phytoplankton phenology in the coastal upwelling region off central‐southern C hile (35° S–38° S): Time‐space variability, coupling to environmental factors, and …, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010330 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | CO2 flux variability in the Galician and Californian upwelling systems | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | CO2 flux variability in the Galician and Californian upwelling systems | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | CO2 flux variability in the Galician and Californian upwelling systems | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Phytoplankton phenology in the coastal upwelling region off central‐southern C hile (35° S–38° S): Time‐space variability, coupling to environmental factors, and …, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010330 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Coastal circulation driven by short-period upwelling-favorable winds in the northern Baja California region, Deep Sea Research Part I: Oceanographic Research Papers,https://doi.org/10.1016/j.dsr.2014.12.003 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Coastal circulation driven by short-period upwelling-favorable winds in the northern Baja California region, Deep Sea Research Part I: Oceanographic Research Papers,https://doi.org/10.1016/j.dsr.2014.12.003 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Phytoplankton phenology in the coastal upwelling region off central‐southern C hile (35° S–38° S): Time‐space variability, coupling to environmental factors, and …, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010330 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Phytoplankton phenology in the coastal upwelling region off central‐southern C hile (35° S–38° S): Time‐space variability, coupling to environmental factors, and …, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010330 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Prediction of coral bleaching in the Florida Keys using remotely sensed data, Coral Reefs,https://doi.org/10.1007/s00338-015-1258-2 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | JPL (CCMP_MEASURES_ATLAS_L4_OW_L3_0_WIND_VECTORS_FLK, DOI 10.5067/CCF30-01XXX downloaded from https://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_0_WIND_VECTORS_FLK ), July 2012 * Process to identify and classify oil seep areas at the seabed through inverse modeling | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Coastal circulation driven by short-period upwelling-favorable winds in the northern Baja California region, Deep Sea Research Part I: Oceanographic Research Papers,https://doi.org/10.1016/j.dsr.2014.12.003 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Quantitative characterization of spurious numerical oscillations in 48 CMIP5 models, Geophysical Research Letters,https://doi.org/10.1002/2015GL063931 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Quantitative characterization of spurious numerical oscillations in 48 CMIP5 models, Geophysical Research Letters,https://doi.org/10.1002/2015GL063931 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Coastal circulation driven by short-period upwelling-favorable winds in the northern Baja California region, Deep Sea Research Part I: Oceanographic Research Papers,https://doi.org/10.1016/j.dsr.2014.12.003 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Coastal circulation driven by short-period upwelling-favorable winds in the northern Baja California region, Deep Sea Research Part I: Oceanographic Research Papers,https://doi.org/10.1016/j.dsr.2014.12.003 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Connectivity of marine protected areas and its relation with total kinetic energy, PloS one,https://doi.org/10.1371/journal.pone.0139601 | OSCAR third degree resolution ocean surface currents |
| 2015 | Quantitative characterization of spurious numerical oscillations in 48 CMIP5 models, Geophysical Research Letters,https://doi.org/10.1002/2015GL063931 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Quantitative characterization of spurious numerical oscillations in 48 CMIP5 models, Geophysical Research Letters,https://doi.org/10.1002/2015GL063931 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Quantitative characterization of spurious numerical oscillations in 48 CMIP5 models, Geophysical Research Letters,https://doi.org/10.1002/2015GL063931 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Detection of mesoscale thermal fronts from 4 km data using smoothing techniques: Gradient-based fronts classification and basin scale application, Remote sensing of environment,https://doi.org/10.1016/j.rse.2015.03.030 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Detection of mesoscale thermal fronts from 4 km data using smoothing techniques: Gradient-based fronts classification and basin scale application, Remote sensing of environment,https://doi.org/10.1016/j.rse.2015.03.030 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Reconstruction of super-resolution fields of ocean pCO2 and air–sea fluxes of CO2 from satellite imagery in the Southeastern Atlantic, Biogeosciences,https://doi.org/10.5194/bgd-12-1405-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Reconstruction of super-resolution fields of ocean pCO2 and air–sea fluxes of CO2 from satellite imagery in the Southeastern Atlantic, Biogeosciences,https://doi.org/10.5194/bgd-12-1405-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Detection of mesoscale thermal fronts from 4 km data using smoothing techniques: Gradient-based fronts classification and basin scale application, Remote sensing of environment,https://doi.org/10.1016/j.rse.2015.03.030 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Reconstruction of super-resolution fields of ocean pCO2 and air–sea fluxes of CO2 from satellite imagery in the Southeastern Atlantic, Biogeosciences,https://doi.org/10.5194/bgd-12-1405-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Detection of mesoscale thermal fronts from 4 km data using smoothing techniques: Gradient-based fronts classification and basin scale application, Remote sensing of environment,https://doi.org/10.1016/j.rse.2015.03.030 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Detection of mesoscale thermal fronts from 4 km data using smoothing techniques: Gradient-based fronts classification and basin scale application, Remote sensing of environment,https://doi.org/10.1016/j.rse.2015.03.030 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Reconstruction of super-resolution fields of ocean pCO2 and air–sea fluxes of CO2 from satellite imagery in the Southeastern Atlantic, Biogeosciences,https://doi.org/10.5194/bgd-12-1405-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Reconstruction of super-resolution fields of ocean pCO2 and air–sea fluxes of CO2 from satellite imagery in the Southeastern Atlantic, Biogeosciences,https://doi.org/10.5194/bgd-12-1405-2015 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | DopSCAT: A mission concept for simultaneous measurements of marine winds and surface currents, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2015JC011011 | OSCAR third degree resolution ocean surface currents |
| 2015 | Dynamics and variability of the Subantarctic mixed-layer as determined from a high resolution glider dataset | OSCAR third degree resolution ocean surface currents |
| 2015 | Lilly, J., and G. Lagerloef (2008), Aquarius Level 3 Processing Algorithm Theoretical Basis Document, Goddard Space Flight Center. [Available at ftp://podaac-ftp.jpl.nasa.gov/allData/aquarius/docs/v2/AquariusLevel3_GriddingSmoothingPaper_Lilly&Lagerloef2008.pdf.] Salinity fronts in the tropical P acific O cean, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010114 | OSCAR 1 degree ocean surface currents |
| 2015 | Establishment and tests of EnOI assimilation module for WAVEWATCH III, Chinese journal of oceanology and limnology,http://dx.doi.org/10.1007/s00343-015-4282-8 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Establishment and tests of EnOI assimilation module for WAVEWATCH III, Chinese journal of oceanology and limnology,http://dx.doi.org/10.1007/s00343-015-4282-8 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Seasonal SSH variability of the northern South China Sea, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0193.1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2015 | Seasonal SSH variability of the northern South China Sea, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0193.1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Establishment and tests of EnOI assimilation module for WAVEWATCH III, Chinese journal of oceanology and limnology,http://dx.doi.org/10.1007/s00343-015-4282-8 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2015 | Establishment and tests of EnOI assimilation module for WAVEWATCH III, Chinese journal of oceanology and limnology,http://dx.doi.org/10.1007/s00343-015-4282-8 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2015 | Establishment and tests of EnOI assimilation module for WAVEWATCH III, Chinese journal of oceanology and limnology,http://dx.doi.org/10.1007/s00343-015-4282-8 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Causes for intraseasonal sea surface salinity variability in the western tropical P acific O cean and its seasonality, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2015JC011413 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Causes for intraseasonal sea surface salinity variability in the western tropical P acific O cean and its seasonality, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2015JC011413 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Causes for intraseasonal sea surface salinity variability in the western tropical P acific O cean and its seasonality, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2015JC011413 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C. and Leidner, S. M.: Cross-calibrated, multiplatform ocean surface wind velocity product (MEaSUREs Project). Guide Document. Physical Oceanography Distributed Active Archive Center (PO.DAAC). JPL, Pasadena, California, 18 May 2009, Version 1.0., 26p, 2009. Mediterranean thermohaline properties and large-scale climatic patterns,https://arts.units.it/handle/11368/2908028 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C. and Leidner, S. M.: Cross-calibrated, multiplatform ocean surface wind velocity product (MEaSUREs Project). Guide Document. Physical Oceanography Distributed Active Archive Center (PO.DAAC). JPL, Pasadena, California, 18 May 2009, Version 1.0., 26p, 2009. Mediterranean thermohaline properties and large-scale climatic patterns,https://arts.units.it/handle/11368/2908028 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C. and Leidner, S. M.: Cross-calibrated, multiplatform ocean surface wind velocity product (MEaSUREs Project). Guide Document. Physical Oceanography Distributed Active Archive Center (PO.DAAC). JPL, Pasadena, California, 18 May 2009, Version 1.0., 26p, 2009. Mediterranean thermohaline properties and large-scale climatic patterns,https://arts.units.it/handle/11368/2908028 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Seasonal cycle of nearbottom transport and currents in the northern Gulf of California, Journal of Geophysical,https://doi.org/10.1002/2016JC012063 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Common characteristics of directional spreadingsteepness joint distribution in freak wave events, Ocean Science,https://doi.org/10.5194/os-12-781-2024 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Seasonal cycle of nearbottom transport and currents in the northern Gulf of California, Journal of Geophysical,https://doi.org/10.1002/2016JC012063 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Seasonal cycle of nearbottom transport and currents in the northern Gulf of California, Journal of Geophysical,https://doi.org/10.1002/2016JC012063 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Common characteristics of directional spreadingsteepness joint distribution in freak wave events, Ocean Science,https://doi.org/10.5194/os-12-781-2027 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Common characteristics of directional spreadingsteepness joint distribution in freak wave events, Ocean Science,https://doi.org/10.5194/os-12-781-2028 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | SeaPAC, 2013: QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3. Ver. 3. PO.DAAC, CA, USA. Dataset accessed [2012-01-01] at http://dx.doi.org/10.5067/QSX12-L2B01. Adjustment of visually observed ship winds (Beaufort winds) in ICOADS, Dissertation,http://purl.flvc.org/fsu/fd/FSU_2016SP_Li_fsu_0071N_13246 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2016 | Anomalous Java cooling at the initiation of positive Indian Ocean Dipole events, Journal of Geophysical,https://doi.org/10.1002/2016JC011635 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Anomalous Java cooling at the initiation of positive Indian Ocean Dipole events, Journal of Geophysical,https://doi.org/10.1002/2016JC011635 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Anomalous Java cooling at the initiation of positive Indian Ocean Dipole events, Journal of Geophysical,https://doi.org/10.1002/2016JC011635 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | SeaPAC (2013). QuikSCAT level 2B ocean wind vectors in 12.5 km slice composites version 3. Ver. 3. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at 10.5067/QSX12-L2B01. Adjustment of the summertime marine atmospheric boundary layer to the western Iberia coastal morphology, Journal of,https://doi.org/10.1002/2016JD025055 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2016 | Impacts of reprocessed altimetry on the surface circulation and variability of the Western Alboran Gyre, Advances in Space Research,https://doi.org/10.1016/j.asr.2016.05.026 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Impacts of reprocessed altimetry on the surface circulation and variability of the Western Alboran Gyre, Advances in Space Research,https://doi.org/10.1016/j.asr.2016.05.026 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Impacts of reprocessed altimetry on the surface circulation and variability of the Western Alboran Gyre,https://doi.org/10.1016/j.asr.2016.05.026 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Windwaveinduced velocity in ATI SAR ocean surface currents: First experimental evidence from an airborne campaign, Journal of,https://doi.org/10.1002/2015JC011459 | OSCAR third degree resolution ocean surface currents |
| 2016 | SeaPAC, 2013. QuikSCAT Level 2B Ocean Wind Vectors in 12.5 km Slice Composites V.3. PO.DAAC, CA.USA A study of the formation mechanism of a long convection band over the Yellow Sea, Atmospheric Research,https://doi.org/10.1016/j.atmosres.2016.02.019 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2016 | Earth Space Research (ESR), 2009. OSCAR third degree resolution ocean surface currents. Ver 1. http://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_third-deg, pO.DAAC, CA, USA. Dataset accessed [2016-04-05] Risk assessment for marine spills along European coastlines, Marine pollution bulletin,https://doi.org/10.1016/j.marpolbul.2016.09.015 | OSCAR third degree resolution ocean surface currents |
| 2016 | Global oceanic wind speed trends, Ocean & Coastal Management,https://doi.org/10.1016/j.ocecoaman.2016.05.001 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Evaluation of Different Wind Fields for Storm surge Modeling in the Persian Gulf, core.ac.uk | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Global oceanic wind speed trends, Ocean & Coastal Management,https://doi.org/10.1016/j.ocecoaman.2016.05.001 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Global oceanic wind speed trends, Ocean & Coastal Management,https://doi.org/10.1016/j.ocecoaman.2016.05.001 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Evaluation of Different Wind Fields for Storm surge Modeling in the Persian Gulf, core.ac.uk | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Spatial and temporal variations in high turbidity surface water off the Thule region, northwestern Greenland, Polar Science,https://doi.org/10.1016/j.polar.2016.07.003 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Evaluation of Different Wind Fields for Storm surge Modeling in the Persian Gulf, core.ac.uk | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Spatial and temporal variability of central Indian Ocean salinity fronts observed by SMOS, Remote sensing of environment,https://doi.org/10.1016/j.rse.2016.02.049 | OSCAR 1 degree ocean surface currents |
| 2016 | J-OFURO3, nagoya.repo.nii.ac.jp | OSCAR third degree resolution ocean surface currents |
| 2016 | Comments from the editors and reviewers, researchgate.net,https://doi.org/10.1016/j.csr.2017.05.011 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | On the role of atmospheric forcing on upper ocean physics in the Southern Ocean and biological impacts,https://escholarship.org/uc/item/5qs1x85p | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Comments from the editors and reviewers, researchgate.net,https://doi.org/10.1016/j.csr.2017.05.011 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Comments from the editors and reviewers, researchgate.net,https://doi.org/10.1016/j.csr.2017.05.011 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | On the role of atmospheric forcing on upper ocean physics in the Southern Ocean and biological impacts,https://escholarship.org/uc/item/5qs1x85p | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | On the role of atmospheric forcing on upper ocean physics in the Southern Ocean and biological impacts,https://escholarship.org/uc/item/5qs1x85p | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Wavelet analysis of Brazil Malvinas Confluence variation forced by wind pseudostress in different locations, researchgate.net | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Phenology of size-partitioned phytoplankton carbon-biomass from ocean color remote sensing and cmip5 models,https://doi.org/10.3389/fmars.2016.00039 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Phenology of size-partitioned phytoplankton carbon-biomass from ocean color remote sensing and cmip5 models,https://doi.org/10.3389/fmars.2016.00039 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Phenology of size-partitioned phytoplankton carbon-biomass from ocean color remote sensing and cmip5 models,https://doi.org/10.3389/fmars.2016.00039 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Coupled patterns between the surface chlorophyll-a and the physical factors in the Pacific Ocean, International conference on Geoscience and Remote Sensig,https://doi.org/10.1109/IGARSS.2016.7730195 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Coupled patterns between the surface chlorophyll-a and the physical factors in the Pacific Ocean, International conference on Geoscience and Remote Sensig,https://doi.org/10.1109/IGARSS.2016.7730195 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Coupled patterns between the surface chlorophyll-a and the physical factors in the Pacific Ocean, International conference on Geoscience and Remote Sensig,https://doi.org/10.1109/IGARSS.2016.7730195 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Validation of Satellite-Derived Salinity in the Equatorial Pacific With Specific Emphasis on the 201415 ENSO Event, IEEE Geoscience and Remote,https://doi.org/10.1109/LGRS.2016.2619980 | OSCAR third degree resolution ocean surface currents |
| 2016 | SeaPAC,2013: QuikSCAT Level 2B ocean wind vectors in 12.5 km slice composites version 3. PO.DAAC, doi:https://doi.org/10.5067/QSX12-L2B01. In situ and satellite evaluation of airsea flux variation near ocean temperature gradients, Journal of Climate,https://doi.org/10.1175/JCLI-D-15-0489.1 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2016 | O Estudo da interao oceano-atmosfera em um ciclone extratropical no Atlntico Sudoeste: uma abordagem numrica em altssima resoluo | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | O Estudo da interao oceano-atmosfera em um ciclone extratropical no Atlntico Sudoeste: uma abordagem numrica em altssima resoluo | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | O Estudo da interao oceano-atmosfera em um ciclone extratropical no Atlntico Sudoeste: uma abordagem numrica em altssima resoluo | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | JPL QuikSCAT Project (2006), SeaWinds on QuikSCAT Level 1B Time-Ordered Earth-Located Sigma-0 Version 2, PO.DAAC. [Online] Available: http://podaac.jpl. nasa.gov/dataset/QSCAT LEVEL 1B V2. 10, 13 Calibration of RapidScat Instrument Drift | SeaWinds on QuikSCAT Level 1B Time-Ordered Earth-Located Sigma0 Version 2 |
| 2016 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C., and Leidner, S. M.: Cross-calibrated, multi-platform ocean surface wind velocity product (MEaSUREs Project), Guide Document, Physical Oceanography Distributed Active Archive Center (PO.DAAC), JPL, Pasadena, California, 18 May 2009, Version 1.0., 26 pp., 2009. Long-term variability of the southern Adriatic circulation in relation to North Atlantic Oscillation, Ocean,https://doi.org/10.5194/os-12-233-2016 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C., and Leidner, S. M.: Cross-calibrated, multi-platform ocean surface wind velocity product (MEaSUREs Project), Guide Document, Physical Oceanography Distributed Active Archive Center (PO.DAAC), JPL, Pasadena, California, 18 May 2009, Version 1.0., 26 pp., 2009. Long-term variability of the southern Adriatic circulation in relation to North Atlantic Oscillation, Ocean,https://doi.org/10.5194/os-12-233-2016 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2016 | Atlas, R., Ardizzone, J. V., Hoffman, R., Jusem, J. C., and Leidner, S. M.: Cross-calibrated, multi-platform ocean surface wind velocity product (MEaSUREs Project), Guide Document, Physical Oceanography Distributed Active Archive Center (PO.DAAC), JPL, Pasadena, California, 18 May 2009, Version 1.0., 26 pp., 2009. Long-term variability of the southern Adriatic circulation in relation to North Atlantic Oscillation, Ocean,https://doi.org/10.5194/os-12-233-2016 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Utilization Of Satellite-Derived Salinity For ENSO Studies And Climate Indices | OSCAR third degree resolution ocean surface currents |
| 2016 | JPL QuikSCAT Project (2006), SeaWinds on QuikSCAT Level 1B Time-Ordered Earth-Located Sigma-0 Version 2, PO.DAAC. [Online] Available: http://podaac.jpl. nasa.gov/dataset/QSCAT LEVEL 1B V2. 10, 13 Calibration of RapidScat Over-Land 0 | SeaWinds on QuikSCAT Level 1B Time-Ordered Earth-Located Sigma0 Version 2 |
| 2016 | Satellite Remote Sensing in Support of Fisheries Management in Global Oceans, Earth Science Satellite Applications,https://doi.org/10.1007/978-3-319-33438-7 | OSCAR third degree resolution ocean surface currents |
| 2016 | The Influence of Environmental Factors and Fishing Pressure on Catch Rates of Diplodus vulgaris, Estuaries and coasts | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2016 | Surface suspended particulate matter concentration in the Taiwan Strait during summer and winter monsoons, Ocean Dynamics | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | SMAP observes flooding from land to sea: The Texas event of 2015, Geophysical,https://doi.org/10.1002/2016GL070821 | OSCAR third degree resolution ocean surface currents |
| 2016 | NASA/GSFC/NOAA (2009), Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses Ver. 1. PO.DAAC, Calif.Dataset accessed [2016-02-01] at. [Available at 10.5067/CCF30-01XXX.] Impact of ocean resolution on coupled airsea fluxes and largescale climate, Geophysical,https://doi.org/10.1002/2016GL070559 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2016 | SeaPAC (2013), QuikSCAT level 2B Ocean Wind Vectors in 12.5 km Slice Composites Version 3, PO.DAAC, CA, USA, Dataset accessed 2014-11-06. Circumventing rainrelated errors in scatterometer wind observations, Journal of Geophysical Research,https://doi.org/10.1002/2016JD025105 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2017 | Hausman, J., Bonjean, F., and Dohan, K. (2009). Ocean Surface Current Analysis (OSCAR) Third Degree Resolution Users Handbook. ftp://podaac-ftp.jpl.nasa.gov/allData/oscar/preview/L4/oscar_third_deg/docs/oscarthirdguide.pdf. Online; date accessed: 23 Jan 2017 Shelf-edge exchange in a numerical model of the Shetland shelf, PhD Thesis,https://spiral.imperial.ac.uk/handle/10044/1/52909 | OSCAR third degree resolution ocean surface currents |
| 2017 | An advanced wind vector retrieval algorithm for the rotating fan-beam scatterometer, Acta Oceanologica Sinica,https://doi.org/10.1007/s13131-017-1062-7 | SeaWinds on QuikSCAT Level 2B Ocean Wind Vectors in 25 Km Swath Grid Version 2 |
| 2017 | A comparison of sea surface salinity in the equatorial Pacific Ocean during the 19971998, 20122013, and 20142015 ENSO events, Climate Dynamics,https://doi.org/10.1007/s00382-017-3527-y | OSCAR third degree resolution ocean surface currents |
| 2017 | Parrotfish recruitment revisited: a key role for sea surface currents, Environmental Biology of Fishes,https://doi.org/10.1007/s10641-017-0673-3 | OSCAR third degree resolution ocean surface currents |
| 2017 | Environmental effects on the spatiotemporal patterns of abundance and distribution of Sardina pilchardus and sardinella off the Mauritanian coast (NorthWest Africa, Fisheries | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2017 | Environmental effects on the spatiotemporal patterns of abundance and distribution of Sardina pilchardus and sardinella off the Mauritanian coast (NorthWest Africa, Fisheries | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2017 | Environmental effects on the spatiotemporal patterns of abundance and distribution of Sardina pilchardus and sardinella off the Mauritanian coast (NorthWest Africa, Fisheries | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2017 | El NioSouthern Oscillationtime scale covariation of sea surface salinity and freshwater flux in the western tropical and northern subtropical Pacific, Geophysical Research,https://doi.org/10.1002/2017GL073573 | OSCAR third degree resolution ocean surface currents |
| 2017 | Turbulent kinetic energy of the ocean winds over the Kuroshio Extension from QuikSCAT winds (19992009), Journal of Geophysical Research,https://doi.org/10.1002/2016JC012404 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2017 | Investigating the seasonal and diurnal cycles of ocean vector winds near the Philippines using RapidScat and CCMP, Journal of Geophysical Research: Atmospheres,https://doi.org/10.1002/2017JD027516 | RapidScat Level 2B Climate Ocean Wind Vectors in 12.5km Footprints |
| 2017 | Ocean surface currents from satellite data, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2017JC012961 | OSCAR third degree resolution ocean surface currents |
| 2017 | Bay of Bengal salinity stratification and Indian summer monsoon intraseasonal oscillation: 1. Intraseasonal variability and causes, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2017JC012691 | OSCAR 1 degree ocean surface currents |
| 2017 | Bay of Bengal salinity stratification and Indian summer monsoon intraseasonal oscillation: 1. Intraseasonal variability and causes, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2017JC012691 | SeaWinds on QuikSCAT Level 3 Surface Wind Speed for Climate Model Comparison |
| 2017 | Factors influencing the skill of synthesized satellite wind products in the tropical Pacific, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2016JC012340 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2017 | Factors influencing the skill of synthesized satellite wind products in the tropical Pacific, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2016JC012340 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2017 | Factors influencing the skill of synthesized satellite wind products in the tropical Pacific, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2016JC012340 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2017 | Comparison of the ocean surface vector winds from atmospheric reanalysis and scatterometerbased wind products over the Nordic Seas and the northern North, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2016JC012453 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2017 | Comparison of the ocean surface vector winds from atmospheric reanalysis and scatterometerbased wind products over the Nordic Seas and the northern North, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2016JC012453 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2017 | Comparison of the ocean surface vector winds from atmospheric reanalysis and scatterometerbased wind products over the Nordic Seas and the northern North, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2016JC012453 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2017 | NASA/GSFC/NOAA. Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [2015-11-01] at http://dx.doi.org/10.5067/CCF30-01XXX (2009). Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean, Applied Energy,https://doi.org/10.1016/j.apenergy.2017.09.030 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2017 | OPeNDAP link wrong Distribution of sea-air CO2 fluxes in the Patagonian Sea: seasonal, biological and thermal effects, Continental Shelf,https://doi.org/10.1016/j.csr.2017.05.011 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2017 | Moroni, D. , Stiles, B. , Fore, A. , 2013. QuikSCAT Level 2b Version 3. Guide Document. Technical Report, PO.DAAC . Impact of using scatterometer and altimeter data on storm surge forecasting, Ocean Modelling,https://doi.org/10.1016/j.ocemod.2017.03.014 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2017 | SeaPAC, 2013. QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3. Ver. 3. PO.DAAC, CA, USA http://dx.doi.org/10.5067/QSX12-L2B01 (Dataset accessed [2014-06-01]). Surface winds off Peru-Chile: Observing closer to the coast from radar altimetry, Remote sensing of,https://doi.org/10.1016/j.rse.2017.01.010 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2017 | Recent Decadal Trend in the North Atlantic Wind Energy Resources, Advances in Meteorology,https://doi.org/10.1155/2017/7257492 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2017 | Recent Decadal Trend in the North Atlantic Wind Energy Resources, Advances in Meteorology,https://doi.org/10.1155/2017/7257492 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2017 | Recent Decadal Trend in the North Atlantic Wind Energy Resources, Advances in Meteorology,https://doi.org/10.1155/2017/7257492 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2017 | Evaluation of improved marine surface wind products from AMSR2 on GCOM-W, and Remote Sensing Symposium (IGARSS), 2017,https://doi.org/10.1109/IGARSS.2017.8128283 | RapidScat Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 1.2 |
| 2017 | SeaPAC. 2013, QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3. Ver. 3, PO.DAAC, CA, USA, dataset accessed 2013-12-23 at http://dx.doi.org/10.5067/QSX12-L2B01. An updated geophysical model for WindSat observations, Geoscience and Remote,https://doi.org/10.1109/IGARSS.2017.8127179 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2017 | Long-Term Scatterometer Wind Climate Data Records, IEEE Journal of,https://doi.org/10.1109/JSTARS.2016.2615873 | SeaWinds on QuikSCAT Level 2A Surface Flagged Sigma0 and Attenuations in 25Km Swath Grid Version 2 |
| 2017 | Ocean Surface Current Inversion Method for a Doppler Scatterometer, IEEE Transactions on,https://doi.org/10.1109/TGRS.2017.2728824 | OSCAR 1 degree ocean surface currents |
| 2017 | Ocean Surface Current Inversion Method for a Doppler Scatterometer, IEEE Transactions on,https://doi.org/10.1109/TGRS.2017.2728824 | OSCAR third degree resolution ocean surface currents |
| 2017 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [2015-09-02] at http://dx.doi.org/10.5067/CCF30-01XXX. Assessment of the Offshore Wind Speed Distributions at Selected Stations in the South-West Coast, Nigeria, International Journal of Renewable Energy Research | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2017 | SeaPAC, 2013: QuikSCAT level 2B ocean wind vectors in 12.5km slice composites, version 3. PO.DAAC. Subset used: November 1999October 2009, accessed 1 December 2013, doi:10.5067/QSX12-L2B01. The Gulf Stream convergence zone in the time-mean winds, Journal of the,https://doi.org/10.1175/JAS-D-16-0213.1 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2017 | SeaPAC, 2016: QuikSCAT Level 2B ocean wind vectors in 12.5-km slice composites version 3.1. PO.DAAC, accessed 7 September 2017, doi:10.5067/QSX12-L2B31. Large-Scale Structure in Wind Forcing over the California Current System in Summer, Monthly Weather Review,https://doi.org/10.1175/MWR-D-17-0106.1 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3.1 |
| 2017 | Do the Brazilian sardine commercial landings respond to local ocean circulation?, PloS one,https://doi.org/10.1371/journal.pone.0176808 | OSCAR third degree resolution ocean surface currents |
| 2017 | RapidScat Cross-Calibration Using the Double Difference Technique, Remote Sensing,https://doi.org/10.3390/rs9111160 | SeaWinds on QuikSCAT Level 2A Surface Flagged Sigma0 and Attenuations in 25Km Swath Grid Version 2 |
| 2017 | PO.DAAC (2017, July 14th). QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3.1. Retrieved from https://podaac.jpl.nasa.gov/dataset/QSCAT_LEVEL_2B_OWV_COMP_12_LCR_3.1 Eddies of the Cape Verde Archipelago | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3.1 |
| 2017 | Trends in significant wave height and surface wind speed in the China Seas between 1988 and 2011, Journal of Ocean University of,https://doi.org/10.1007/s11802-017-3213-z | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2017 | Trends in significant wave height and surface wind speed in the China Seas between 1988 and 2011, Journal of Ocean University of,https://doi.org/10.1007/s11802-017-3213-z | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses |
| 2017 | Trends in significant wave height and surface wind speed in the China Seas between 1988 and 2011, Journal of Ocean University of,https://doi.org/10.1007/s11802-017-3213-z | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2017 | Validation of gridded data set of global surface wind/wind-stress vector field, Journal of Oceanography,https://doi.org/10.1007/s10872-017-0419-z | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 4.0 |
| 2017 | Spatial variability in factors that control the sinking flux of organic and inorganic particles in the Cariaco Basin: a vision from space, Journal of Remote,https://doi.org/10.1080/01431161.2017.1350305 | SeaWinds on QuikSCAT Level 3 Daily Gridded Ocean Wind Vectors (JPL Version 2) |
| 2017 | Jet Propulsion Laboratory. (2013a). QuikSCAT Level 2B Version 3 (Guide Document, Tech. Rep. V1). Pasadena, CA. Retrieved from: ftp://podaac.jpl.nasa.gov/allData/ quikscat/L2B12/docs/qscat_l2b_v3_ug_v1_0.pdf Improvements of storm surge forecasting in the Gulf of Venice exploiting the potential of satellite data: the ESA DUE eSurge-Venice project, European Journal of,https://doi.org/10.1080/22797254.2017.1350558 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2017 | Use of an optimum interpolation method to construct a high-resolution global ocean surface vector wind dataset from active scatterometers and passive radiometers, International Journal of | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 4.0 |
| 2017 | SeaPAC (2013). QuikSCAT Level 2B Ocean Wind Vectors in 12.5 km Slice Composites, Version 3, PO.DAAC, CA. Dataset accessed 2014-11-06, http://doi.org/10.5067/QSX12-L2B01 Diurnal ConvectionWind Coupling in the Bay of Bengal, Journal of Geophysical,https://doi.org/10.1002/2017JD027271 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2017 | Detailed spatiotemporal impacts of El Nio on phytoplankton biomass in the S outh C hina S ea, Journal of Geophysical,https://doi.org/10.1002/2016JC012276 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2017 | Interannual Variation in Offshore Advection of AmazonOrinoco Plume Waters: Observations, Forcing Mechanisms, and Impacts, Journal of,https://doi.org/10.1002/2017JC013103 | OSCAR third degree resolution ocean surface currents |
| 2017 | Ecological and Oceanographic Influences on Leatherback Turtle Behavior and Scyphozoan Jellyfish Distributions in the Gulf of Mexico | OSCAR 1 degree ocean surface currents |
| 2017 | An efficient SPDE approach for El Ni\~ no, arXiv preprint arXiv:1708.04144 | OSCAR third degree resolution ocean surface currents |
| 2017 | ESR. (2009) OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [2017-07-08] at http://dx.doi.org/10.5067/OSCAR-03D01. Association of whale sharks (Rhincodon typus) with thermo-biological frontal systems of the eastern tropical Pacific, PloS one,https://doi.org/10.1371/journal.pone.0182599 | OSCAR third degree resolution ocean surface currents |
| 2018 | NASA/GSFC/NOAA, 2009. Cross-calibrated multi-platform ocean surface wind vector L3.0 first-look analyses. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [2016-09-30] at http://dx.doi.org/10.5067/CCF30-01XXX. Anchovy (Engraulis encrasicolus) early life stages in the Central Mediterranean Sea: connectivity issues emerging among adjacent sub-areas across the Strait of …, Hydrobiologia,https://doi.org/10.1007/s10750-017-3253-9 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | Anisotropic larval connectivity and metapopulation structure driven by directional oceanic currents in a marine fish targeted by small-scale fisheries, Marine biology,https://doi.org/10.1007/s00227-017-3267-x | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | ESR (2009). OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. Retrieved from https://doi.org/10.5067/OSCAR-03D01 Argo observations of the Deep Mixing Band in the Southern Ocean: a salinity modeling challenge, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2018JC014275 | OSCAR third degree resolution ocean surface currents |
| 2018 | BoBBLE: Ocean–Atmosphere Interaction and Its Impact on the South Asian Monsoon, Bulletin of the American Meteorological Society,https://doi.org/10.1175/BAMS-D-16-0230.1 | OSCAR third degree resolution ocean surface currents |
| 2018 | Causes and evolution of the southeastern tropical Atlantic warm event in early 2016, Climate Dynamics,https://doi.org/10.1007/s00382-018-4582-8 | OSCAR third degree resolution ocean surface currents |
| 2018 | Comparison of the accuracy of various global wind speed datasets obtained from satellites and reanalyses, Journal of Advanced Marine Science and Technology Society ,https://doi.org/10.14928/amstec.24.2_31 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | Decadal shift of NAO-linked interannual sea level variability along the US northeast coast, Journal of Climate,https://doi.org/10.1175/JCLI-D-17-0403.1 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2018 | Descriptive density models of scyphozoan jellyfish in the northern Gulf of Mexico, Marine Ecology Progress Series,https://doi.org/10.3354/meps12327 | OSCAR 1 degree ocean surface currents |
| 2018 | [28] ESR, 2009. OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA, http://dx.doi.org/10.5067/OSCAR-03D01. (Accessed 30 May 2016). Numerical low-rank approximation of matrix differential equations, Journal of Computational and Applied Mathematics,https://doi.org/10.1016/j.cam.2018.01.035 | OSCAR third degree resolution ocean surface currents |
| 2018 | Dual-Polarized Backscatter Features of Surface Currents in the Open Ocean during Typhoon Lan (2017), Remote Sensing,https://doi.org/10.3390/rs10060875 | OSCAR third degree resolution ocean surface currents |
| 2018 | Origins of eddy kinetic energy in the Bay of Bengal, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2017JC013455 | OSCAR third degree resolution ocean surface currents |
| 2018 | Physical forces determine the annual bloom intensity of the giant jellyfish Nemopilema nomurai off the coast of Korea, Regional Studies in Marine Science,https://doi.org/10.1016/j.rsma.2018.07.003 | OSCAR third degree resolution ocean surface currents |
| 2018 | Evaluation of Amip-Type Atmospheric Fields as Forcing For Mediterranean Sea and Global Ocean Reanalyses, Annals of Geophysics,https://doi.org/10.4401/ag-7793 | SeaWinds on QuikSCAT L2B Ocean Wind Vectors in 12.5km Slice Composites |
| 2018 | NASA/GSFC/NOAA: Cross-Calibrated Multi-Platform Ocean Sur- face Wind Vector L3.0 First-Look Analyses, Ver. 1, PO.DAAC, CA, USA, https://doi.org/10.5067/CCF30-01XXX,2009. Physical modulation to the biological productivity in the summer Vietnam upwelling system, Ocean Science,https://doi.org/10.5194/os-14-1303-2018 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | Physical Oceanography Distributed Active Archive Center (PO.DAAC). Jet Propulsion Laboratory. RapidScat Level 2B NetCDF Guide Document. Document Clearance Number: CL#16-1418. March 2016. Available online: ftp://podaac-ftp.jpl.nasa.gov/allData/rapidscat/retired/L2B12/docs/rscat_l2b_user_ guide_v1.pdf (accessed on 19 April 2018). Evaluation of ISS-RapidScat wind vectors using buoys and ASCAT data, Remote Sensing,https://doi.org/10.3390/rs10040648 | RapidScat Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 1.2 |
| 2018 | Processos oceanográficos e climáticos preditores de encalhes de tartarugas marinhas em praias do Paraná., N/A,N/A | OSCAR third degree resolution ocean surface currents |
| 2018 | Extraction of Uranium from Seawater: Design and Testing of a Symbiotic System, N/A,https://doi.org/10.2172/1423067 | SeaWinds on QuikSCAT Level 3 Surface Wind Speed for Climate Model Comparison |
| 2018 | Earth Space Research (2009). OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. https://doi.org/10.5067/OSCAR-03D01 Refined Estimates of Net Community Production in the Subarctic Northeast Pacific Derived From ΔO2/Ar Measurements With N2O‐Based Corrections for Vertical …, Global Biogeochemical Cycles,https://doi.org/10.1002/2017GB005792 | OSCAR third degree resolution ocean surface currents |
| 2018 | [54] a Atlas R, Hoffman RN, Ardizzone J, Leidner SM, Jusem JC, Smith DK, Gombos D. A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bull Am Meteorol Soc 2011;92:157e74. b NASA/GSFC/NOAA. Cross-calibrated multi-platform ocean surface wind vector L3.0 first-look analyses. CA, USA: PO.DAAC; 2009., Version 1. https:// doi.org/10.5067/CCF30-01XXX. [Accessed 5 November 2016]. https://doi.org/10.1175/2010BAMS2946.1. Review of energy systems deployment and development of offshore wind energy resource map at the coastal regions of Africa, Energy,https://doi.org/10.1016/j.energy.2018.07.185 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | How oceanography influences Fishery Biology?-A Case of distribution differences in carnivorous and planktivorous fishes along the Coastal Waters of Eastern …, CMFRI Open Access Institutional Repository,N/A | OSCAR third degree resolution ocean surface currents |
| 2018 | Salinification in the South China Sea since late 2012: A reversal of the freshening since the 1990s, Geophysical Research Letters,https://doi.org/10.1002/2017GL076574 | OSCAR third degree resolution ocean surface currents |
| 2018 | Idealized models of the joint probability distribution of wind speeds, Nonlinear Processes in Geophysics,https://doi.org/10.5194/npg-25-335-2018 | SeaWinds on QuikSCAT Level 3 Daily Gridded Ocean Wind Vectors (JPL Version 2) |
| 2018 | SeaPAC (2013). QuikSCAT level 2B ocean wind vectors in 12.5 km slice composites version 3. https://doi.org/10.5067/QSX12-L2B01, ver.3. PO.DAAC, CA, USA. Dataset accessed 2014-11-06. Satellite observations of enhanced chlorophyll variability in the Southern California Bight, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2018JC014248 | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3 |
| 2018 | Impacts of the Mesoscale Ocean‐Atmosphere Coupling on the Peru‐Chile Ocean Dynamics: The Current‐Induced Wind Stress Modulation, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2017JC013294 | OSCAR third degree resolution ocean surface currents |
| 2018 | Sea surface kinetic energy as a proxy for mesoscale light limitation for phyoplankton in the Southern Ocean, N/A,N/A | OSCAR third degree resolution ocean surface currents |
| 2018 | Seasonal patterns of Patagonian sprat Sprattus fuegensis early life stages in an open sea Sub-Antarctic Marine Protected Area, Polar Biology,https://doi.org/10.1007/s00300-018-2352-z | OSCAR third degree resolution ocean surface currents |
| 2018 | Improving the spatial allocation of marine mammal and sea turtle biomasses in spatially explicit ecosystem models, Marine Ecology Progress Series,https://doi.org/10.3354/meps12640 | OSCAR third degree resolution ocean surface currents |
| 2018 | Sensitivity of the Bay of Bengal upper ocean to different winds and river input conditions, Journal of Marine Systems,https://doi.org/10.1016/j.jmarsys.2018.08.001 | OSCAR third degree resolution ocean surface currents |
| 2018 | Integrated kinetic energy of Atlantic tropical cyclones in a global ocean surface wind analysis, International Journal of Climatology,https://doi.org/10.1002/joc.5450 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | Interannual variability of winter precipitation linked to upper ocean heat content off the east coast of Korea, International Journal of Climatology,https://doi.org/10.1002/joc.5354 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | [28] “OSCAR third degree resolution ocean surface currents,” https://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_ third-deg, 2015. Accessed: 2018-03. Simulation-based UAS Swarm Selection for Monitoring and Detection of Migrant Border Crossings, 2018 Aviation Technology, Integration, and Operations Conference,https://doi.org/10.2514/6.2018-3504 | OSCAR third degree resolution ocean surface currents |
| 2018 | Internship and master thesis: Sensitive Analysis of Added Power of Ships on Seaways,N/A | OSCAR third degree resolution ocean surface currents |
| 2018 | EUMETSAT/OSI SAF, 2010: MetOp-A ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean. Ver. Operational/Near-Real-Time. PO.DAAC, CA, USA, accessed 6 June 2017 at ftp://podaac-ftp.jpl.nasa.gov/allData/ascat/preview/L2/metop_a/coastal_opt/ Intraseasonal Variability in the diurnal cycle of precipitation in the Philippines, N/A,N/A | QuikSCAT Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 3.1 |
| 2018 | ESR. 2009. OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [2018-03-20] at http://dx.doi.org/10.5067/OSCAR-03D01. Spatial Ecology and Movement Patterns of Deep-Diving Odontocetes in the Western North Atlantic, N/A,N/A | OSCAR third degree resolution ocean surface currents |
| 2018 | Spatial variability and abundance pattern of Indian squid off Maharashtra coast, India, Journal of the Marine Biological Association of India,https://doi.org/10.6024/jmbai.2018.60.2.2073-07 | OSCAR third degree resolution ocean surface currents |
| 2018 | NASA/GSFC/NOAA, 2009. Cross-calibrated multi-platform ocean surface wind vector L3.0 first-look analyses. Ver. 1. PO.DAAC, CA, USA. Linking surface hydrodynamics to planktonic ecosystem: the case study of the ichthyoplanktonic assemblages in the Central Mediterranean Sea, Hydrobiologia,N/A | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | Managing an invasive corallimorph at Palmyra Atoll National Wildlife Refuge, Line Islands, Central Pacific, Biological Invasions,https://doi.org/10.1007/s10530-018-1696-1 | OSCAR third degree resolution ocean surface currents |
| 2018 | ESR, 2009: OSCAR third degree resolution ocean surface currents. Version 1, PO.DAAC, accessed 7 August 2017, https://doi.org/10.5067/OSCAR-03D01. Statistical inversion of surface ocean kinematics from sea surface temperature observations, Journal of Atmospheric and Oceanic Technology,https://doi.org/10.1175/JTECH-D-18-0057.1 | OSCAR third degree resolution ocean surface currents |
| 2018 | Marathon penguins–Reasons and consequences of long-range dispersal in Fiordland penguins/Tawaki during the pre-moult period, PloS one,N/A | OSCAR third degree resolution ocean surface currents |
| 2018 | Submesoscale processes at shallow salinity fronts in the Bay of Bengal: Observations during the winter monsoon, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-16-0283.1 | OSCAR third degree resolution ocean surface currents |
| 2018 | S3 ESR (2009). OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [2018-10-08] at http://dx.doi.org/10.5067/OSCAR-03D01. Supplemental Information Female-biased stranding in Magellanic penguins, Current Biology,https://doi.org/10.1016/j.cub.2018.11.023 | OSCAR third degree resolution ocean surface currents |
| 2018 | NASA: SeaWinds on QuickSCAT Level 3 surface wind speed for climate model comparison, Ver. 1. PO.DAAC, CA, USA, https://doi.org/10.5067/QSSWS-CMIP1, 2012. The efficacy of aerosol–cloud radiative perturbations from near-surface emissions in deep open-cell stratocumuli, Atmospheric Chemistry and Physics,https://doi.org/10.5194/acp-18-17475-2018 | SeaWinds on QuikSCAT Level 3 Surface Wind Speed for Climate Model Comparison |
| 2018 | [20] “QuikSCAT Science Data Product User’s Manual,” 2006. [Online]. Available: ftp: //podaac.jpl.nasa.gov/allData/quikscat/L2A/v2/docs/QSUG v3.pdf 15, 16 The Estimation of the RapidScat Spatial Response Function, N/A,N/A | SeaWinds on QuikSCAT Level 2A Surface-flagged Sigma-0 in 12.5km Wind Vector Cell Slice Composites |
| 2018 | ESR. 2009. OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. Dataset accessed at http://dx.doi.org/10.5067/OSCAR-03D01. The perfect storm: can sperm whale (Physeter macrocephalus) strandings in the North Sea be linked to storm activity?, N/A,N/A | OSCAR third degree resolution ocean surface currents |
| 2018 | Transport between Palau and the Eastern Coral Triangle: Larval connectivity or near misses, Geophysical Research Letters,https://doi.org/10.1029/2018GL077493 | OSCAR third degree resolution ocean surface currents |
| 2018 | “OSCAR third degree resolution ocean surface currents.” NASA. 22 Nov. 2013. URL:https://gcmd.nasa.gov/KeywordSearch/Metadata.do?Portal=daacs&KeywordPath=Parameters%7COCEANS%7COCEAN+CIRCULATION&OrigMetadataNode=GCMD&EntryId=PODAAC-OSCAR- 03D01&MetadataView=Full&MetadataType=0&lbnode=mdlb3 [cited: 6 Feb. 2017]. UAV Swarms for Migration Flow Monitoring and Search and Rescue Mission Support, 2018 AIAA Information Systems-AIAA Infotech @ Aerospace,https://doi.org/10.2514/6.2018-1489 | OSCAR third degree resolution ocean surface currents |
| 2018 | NASA/GSFC/NOAA: Cross-Calibrated Multi-Platform Ocean Sur- face Wind Vector L3.0 First-Look Analyses, Ver. 1. PO.DAAC, CA, USA, https://doi.org/10.5067/CCF30-01XXX, 2009. Uncertainty in the global oceanic CO uptake induced by wind forcing: quantification and spatial analysis, Biogeosciences,https://doi.org/10.5194/bg-15-1701-2018 | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses |
| 2018 | Using habitat models for chinstrap penguins Pygoscelis antarctica to advise krill fisheries management during the penguin breeding season, Diversity and Distributions,https://doi.org/10.1111/ddi.12817 | OSCAR third degree resolution ocean surface currents |
| 2018 | Variability of coastal upwelling south of Madagascar, N/A,N/A | Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses |
| 2018 | Voyage Optimization Algorithms for Ship Safety and Energy-efficiency, N/A ,N/A | OSCAR third degree resolution ocean surface currents |
| 2015 | Seasonal variability of alongshore winds and sea surface temperature fronts in E astern B oundary C urrent S ystems, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010379 | (No Dataset Referenced) |
| 2015 | Statistical estimation of extreme ocean waves over the eastern Canadian shelf from 30-year numerical wave simulation, Ocean Dynamics,https://doi.org/10.1007/s10236-015-0878-y | (No Dataset Referenced) |
| 2015 | The C ape G hir filament system in A ugust 2009 (NW A frica), Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC010514 | (No Dataset Referenced) |
| 2015 | The inter-annual variability in the onset of the enhanced chlorophyll-a east of Madagascar | (No Dataset Referenced) |
| 2015 | The ODAS Italia 1 buoy: More than forty years of activity in the Ligurian Sea, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2015.04.005 | (No Dataset Referenced) |
| 2015 | Tracing floating green algae blooms in the Yellow Sea and the East China Sea using GOCI satellite data and Lagrangian transport simulations, Remote Sensing of Environment,https://doi.org/10.1016/j.rse.2014.09.024 | (No Dataset Referenced) |
| 2015 | Upscale and downscale energy transfer over the tropical P acific revealed by scatterometer winds, Journal of Geophysical Research: Oceans | (No Dataset Referenced) |
| 2015 | Комплексное использование спутниковых данных для расчёта траекторий плавающих объектов на морской поверхности, 12th Conference of Young Scientists “Fundamental and Applied Space Research”, At Space Research Institute of the Russian Academy of Sciences (Moscow) | (No Dataset Referenced) |
| 2015 | Новые районы распространения полярных циклонов в Арктике как результат сокращения площади ледового покрова, Exploration of the Earth from Space,https://doi.org/10.7868/S0205961415020116 | (No Dataset Referenced) |
| 2015 | 人工衛星搭載マイクロ波散乱計を用いた風力エネルギー資源量推定における長期変動解析, Wind Energy Utilization Symposium,https://doi.org/10.11333/jweasympo.37.0_233 | (No Dataset Referenced) |
| 2015 | Influence of typhoon matsa on phytoplankton chlorophyll-a off East China, PloS one,https://doi.org/10.1371/journal.pone.0137863 | (No Dataset Referenced) |
| 2015 | Linking rapid erosion of the Mekong River delta to human activities, Scientific reports | (No Dataset Referenced) |
| 2015 | ftp://podaac-ftp.jpl.nasa.gov/allData/quikscat/ A model study of wind-induced sea level fluctuations in the Persian Gulf and the Gulf of Oman, AIP Conference Proceedings,https://doi.org/10.1063/1.4912980 | (No Dataset Referenced) |
| 2015 | A scidb-based framework for efficient satellite data storage and query based on dynamic atmospheric event trajectory, BigSpatial'15: Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data,https://doi.org/10.1145/2835185.2835190 | (No Dataset Referenced) |
| 2015 | PODAAC (2007). QuikSCAT. Jet Propulsion Laboratory, California Institute of Technology. Available from http://podaac.jpl.nasa.gov/quikscat [Available from Feb. 20 2015]. A significant look at the effects of Persian Gulf environmental conditions on sound scattering based on small perturbation method, Journal of Marine Science and Application,https://doi.org/10.1007/s11804-015-1332-8 | (No Dataset Referenced) |
| 2015 | Accuracy evaluation of hub-height wind speeds estimated from scatterometer and mesoscale model | (No Dataset Referenced) |
| 2015 | Measuring the Atlantic meridional overturning circulation at 26 N, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2014.10.006 | (No Dataset Referenced) |
| 2015 | JPL, “QuikSCAT Level 2B Version 3 Guide Document”, Tech. Rep. v1, March 2013. Mitigating the scatterometer-model wind biases in the Adriatic sea, 2015 IEEE International Geoscience and Remote Sensing Symposium,https://doi.org/10.1109/IGARSS.2015.7325991 | (No Dataset Referenced) |
| 2015 | Physical Oceanography DAAC (PO.DAAC).”SeaWinds on QuikSCAT”. Visitado en 2015. Disponible en: http://podaac.jpl.nasa.gov/OceanWind/QuikSCAT Aplicación web para el almacenamiento y visualización de geodatos meteorológicos mediante Spring y MongoDB. Análisis de técnicas de indexación NoSQL | (No Dataset Referenced) |
| 2015 | JPL, 2006. QuikSCAT Science Data Product User’s Manual (Ver. 3.0). Tech. Rep., Jet Propulsion Laboratory, Pasadena, USA, available online at the PODAAC web site. Mitigation of ECMWF–scatterometer wind biases in view of storm surge applications in the Adriatic Sea, Advances in Space Research,https://doi.org/10.1016/j.asr.2014.12.011 | (No Dataset Referenced) |
| 2015 | Assessment of a satellite-based atmospheric budget analysis method using CINDY2011/DYNAMO/AMIE and TOGA COARE sounding array data, Journal of the Meteorological Society of Japan,https://doi.org/10.2151/jmsj.2015-032 | (No Dataset Referenced) |
| 2015 | Lungu, T., Ed., 2006: QuikSCAT science data product user’s manual: Overview and geophysical data products. 3rd ed. Jet Propulsion Laboratory, California Institute of Technology, 85 pp. [Available online at ftp://podaac.jpl.nasa.gov/allData/quikscat/L2B12/docs/QSUG_v3.pdf.] Assimilation of tropical cyclone observations: Improving the assimilation of TCVitals, scatterometer winds, and dropwindsonde observations, Monthly Weather Review,https://doi.org/10.1175/MWR-D-14-00158.1 | (No Dataset Referenced) |
| 2015 | Associations between chlorophyll and wind forcing in the Gulf of Mexico derived from satellite observations | (No Dataset Referenced) |
| 2015 | Quantifying high-frequency wind energy flux into near-inertial motions in the southeast Pacific, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-14-0076.1 | (No Dataset Referenced) |
| 2015 | Detection of the Hebei Spirit oil spill on SAR imagery and its temporal evolution in a coastal region of the Yellow Sea, Advances in Space Research,https://doi.org/10.1016/j.asr.2015.05.040 | (No Dataset Referenced) |
| 2015 | Development and evaluation of a multi-year fractional surface water data set derived from active/passive microwave remote sensing data, Remote Sensing,https://doi.org/10.3390/rs71215843 | (No Dataset Referenced) |
| 2015 | Disentangling the effects of propagule supply and environmental filtering on the spatial structure of a rocky shore metacommunity, Marine Ecology Progress Series,https://doi.org/10.3354/meps11493 | (No Dataset Referenced) |
| 2015 | Diurnal and seasonal lightning variability over the Gulf Stream and the Gulf of Mexico, Journal of the Atmospheric Sciences,https://doi.org/10.1175/JAS-D-14-0233.1 | (No Dataset Referenced) |
| 2015 | PODAAC QuikSCAT website (2009). http://podaac.jpl.nasa.gov/quikscat/. Sea surface effects on sound scattering in the Persian Gulf region based on empirical relations, Journal of Marine Science and Application,https://doi.org/10.1007/s11804-015-1306-x | (No Dataset Referenced) |
| 2016 | Adjustment of the summertime marine atmospheric boundary layer to the western Iberia coastal morphology, Journal of,https://doi.org/10.1002/2016JD025055 | (No Dataset Referenced) |
| 2016 | Coastal Kelvin waves and dynamics of gulf of Aden eddies, Deep Sea Research Part I: Oceanographic Research Papers,https://doi.org/10.1016/j.dsr.2016.08.003 | (No Dataset Referenced) |
| 2016 | Evaluation of Different Wind Fields for Storm surge Modeling in the Persian Gulf, core.ac.uk | (No Dataset Referenced) |
| 2016 | , ecomodelling.ru | (No Dataset Referenced) |
| 2016 | Further Examination of Diurnal and Sub-Diurnal Wind Vector Variability using the Constellation of Scatterometers and Radiometers, mdc.coaps.fsu.edu | (No Dataset Referenced) |
| 2016 | J-OFURO3, nagoya.repo.nii.ac.jp | (No Dataset Referenced) |
| 2016 | A numerical approach for planning offshore wind farms from regional to local scales over the Mediterranean, Renewable Energy,https://doi.org/10.1016/j.renene.2015.06.038 | (No Dataset Referenced) |
| 2016 | Ocano-Atmsfera, researchgate.net,https://doi.org/10.18846/renaysoc.2017.03.03.02.0003 | (No Dataset Referenced) |
| 2016 | Evaluation of different wind fields for storm surge modeling in the Persian Gulf, Journal of Coastal Research Online Journal,https://doi.org/10.2112/JCOASTRES-D-15-00202.1 | (No Dataset Referenced) |
| 2016 | MED-CORDEX initiative for Mediterranean climate studies, Bulletin of the,https://doi.org/10.1175/BAMS-D-14-00176.1 | (No Dataset Referenced) |
| 2016 | Partial decoupling of primary productivity from upwelling in the California Current system, Nature,https://doi.org/10.1038/NGEO2722 | (No Dataset Referenced) |
| 2016 | Seasonal and spatial variability of IRS-P4 OCM (Oceansat-1) derived aerosol and its impact on surface water chlorophyll-a in the Bay of Bengal | (No Dataset Referenced) |
| 2016 | Reprocessed SeaWinds L2 winds validation report, Ocean and Sea Ice Satellite | (No Dataset Referenced) |
| 2016 | Highresolution wind hindcast over the Bohai Sea and the Yellow Sea in East Asia: Evaluation and wind climatology analysis, Journal of Geophysical Research,https://doi.org/10.1002/2015JD024177 | (No Dataset Referenced) |
| 2017 | Wetland monitoring with Global Navigation Satellite System reflectometry, Earth and Space,https://doi.org/10.1002/2016EA000194 | (No Dataset Referenced) |
| 2017 | Impacts of the mesoscale ocean-atmosphere coupling on the Peru-Chile ocean dynamics: impact of the current-induced wind stress modulation,https://doi.org/10.1002/2017JC013294 | (No Dataset Referenced) |
| 2017 | Calibration of RapidScat scatterometer, Microwaves, Radar and,https://doi.org/10.1109/MRRS.2017.8075074 | (No Dataset Referenced) |
| 2018 | A critical re-assessment of the primary productivity of the Yellow Sea, East China Sea and Sea of Japan/East Sea Large Marine Ecosystems, Deep-Sea Research Part II: Topical Studies in Oceanography,https://doi.org/10.1016/j.dsr2.2018.05.021 | (No Dataset Referenced) |
| 2018 | Balanced cloud radiative effects across a range of dynamical conditions over the tropical West Pacific, Geophysical Research Letters,https://doi.org/10.1029/2018GL080046 | (No Dataset Referenced) |
| 2018 | Modeling tangential vector fields on a sphere, Journal of the American Statistical Association ,https://doi.org/10.1080/01621459.2017.1356322 | (No Dataset Referenced) |
| 2018 | Correction to Beaufort‐estimated wind speeds over the Tropical Indian Ocean, Meteorological Applications,https://doi.org/10.1002/met.1731 | (No Dataset Referenced) |
| 2018 | Description and mechanisms of the mid-year upwelling in the Southern Caribbean Sea from remote sensing and local data, Journal of Marine Science and Engineering, https://doi.org/10.3390/jmse6020036 | (No Dataset Referenced) |
| 2018 | Numerical analysis of the Black Sea currents and mesoscale eddies in 2006 and 2011, Ocean Dynamics,https://doi.org/10.1007/s10236-018-1200-6 | (No Dataset Referenced) |
| 2018 | Ensembles of Ensembles: Combining the Predictions from Multiple Machine Learning Methods, Machine Learning for Ecology and Sustainable Natural Resource Management ,N/A | (No Dataset Referenced) |
| 2018 | JPL, 2001. QuikSCAT science data product user's manual (version 2.0) Jet Propulsion Laboratory Publ. D-18053, Pasadena, CA, 84 pp. [Available online at http://podaac. jpl.nasa.gov/QuikSCAT.]. Extreme wind-wave modeling and analysis in the south Atlantic ocean, Ocean Modelling,https://doi.org/10.1016/j.ocemod.2018.02.002 | (No Dataset Referenced) |
| 2018 | Habitat analysis of the commercial tuna of the Eastern Tropical Pacific Ocean, Fisheries Oceanography,https://doi.org/10.1111/fog.12263 | (No Dataset Referenced) |
| 2018 | Rezoning global offshore wind energy resources, Renewable Energy,https://doi.org/10.1016/j.renene.2018.05.090 | (No Dataset Referenced) |
| 2018 | SATELLITE DERIVED EXTRACTION OF SPATIO-TEMPORAL VARIABILITY OF UPWELLING AND ITS INFLUENCE ON MARINE FISHERY RESOURCES, Journal of Marine Science and Technology,https://doi.org/10.6119/JMST.2018.02_(1).0003 | (No Dataset Referenced) |
| 2018 | SATELLITE DERIVED EXTRACTION OF SPATIO-TEMPORAL VARIABILITY OF UPWELLING AND ITS INFLUENCE ON MARINE FISHERY RESOURCES, Journal of Marine Science and Technology,https://doi.org/10.6119/JMST.2018.02_(1).0003 | (No Dataset Referenced) |
| 2018 | Implications of ocean color in the upper water thermal structure at NINO3. 4 region: a sensitivity study for optical algorithms and ocean color variabilities, GIScience & Remote Sensing,https://doi.org/10.1080/15481603.2017.1417697 | (No Dataset Referenced) |
| 2018 | Signature of the Agulhas Current in high resolution satellite derived wind fields, Remote Sensing of Environment,https://doi.org/10.1016/j.rse.2018.08.016 | (No Dataset Referenced) |
| 2018 | Subseasonal coastal‐trapped wave propagations in the southeastern Pacific and Atlantic Oceans: 1. A new approach to estimate wave amplitude, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2017JC013540. | (No Dataset Referenced) |
| 2018 | The Role of Topographically Induced Form Drag on the Channel Flows Through the East/Japan Sea, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2018JC013903 | (No Dataset Referenced) |
| 2018 | Tidal and low-frequency currents off the Jaguaribe River estuary (4° S, 37° 4′ W), northeastern Brazil, Ocean Dynamics,https://doi.org/10.1007/s10236-018-1172-6 | (No Dataset Referenced) |
| 2018 | Tropical Cyclone Center Automatic Determination Model Based on HY-2 and QuikSCAT Wind Vector Products, IEEE Transactions on Geoscience and Remote Sensing,https://doi.org/10.1109/TGRS.2018.2859819 | (No Dataset Referenced) |
| 2018 | Upwelling jet separation in the California Current System, Scientific reports,https://doi.org/10.1038/s41598-018-34401-y | (No Dataset Referenced) |
| 2018 | Validation of an Improved Statistical Theory for Sea Surface Whitecap Coverage Using Satellite Remote Sensing Data, Sensors, https://doi.org/10.3390/s18103306 | (No Dataset Referenced) |
| 2018 | Wind relaxation and poleward flow events in the upwelling region off Baja California, Mexico, Ciencias Marinas,https://doi.org/10.7773/cm.v44i2.2745 | (No Dataset Referenced) |
Launched in 19 June 1999, QuikSCAT was designed to be a “quick recovery” EOS satellite mission to fill the gap of global ocean surface wind vector observations which resulted from the unexpected failure of NSCAT in June of 1997.The SeaWinds scatterometer on QuikSCAT began producing science quality data on 19 July 1999. Since launch, the SeaWinds instrument provided consistent, high quality data covering more than 90% of the ice-free oceans every day for more than 10 years.
On 23 November 2009 (orbital rev number 54315), 7:07 UTC, the QuikSCAT antenna stalled to 0 RPM, and has remained stalled in a fixed-azimuth position since that time, with some exceptional brief periods in 2013 where the antenna began to spin. During this "non-spinning" mode, Level 2A (L2A) science data was not retrievable; hence the Level 2B (L2B) wind vectors were likewise also not retrievable.
