Please Note: This dataset is retired, and is displayed for archive purposes only, and may not reflect the most updated information.
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GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1). DOI: https://doi.org/10.5067/GHGMR-4FJ04
For Version History information click here >>
However, a newer version exists.
GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1). DOI: https://doi.org/10.5067/GHGMR-4FJ04
For Version History information click here >>
GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis
(JPL-L4UHfnd-GLOB-MUR)
76 Publications Cited this Dataset
Citation metrics available for years (2014-2021)
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Publications citing GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis
Citation metrics available for years (2014-2021)
Year | Citation |
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2014 | CHIN, T. M.; VAZQUEZ-CUERVO, J.; ARMSTRONG, E. M. “A multi-scale, high- resolution analysis of global sea surface temperature”, 2013. Disponível em: |
2014 | The 129-iodine content of subtropical Pacific waters: impact of Fukushima and other anthropogenic 129-iodine sources., Biogeosciences,https://doi.org/10.5194/bg-11-4839-2014 |
2014 | Cyclonic activity in the eastern Gulf of Mexico: Characterization from along-track altimetry and in situ drifter trajectories, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2013.08.002 |
2015 | VARIACIÓN TEMPORAL DE LA SURGENCIA EN LA REGIÓN CENTRO-SUR DE CHILE (39-41 S) A TRAVÉS DE INFORMACIÓN PROCEDENTE DE … |
2015 | Satellite observations of upwelling in the Gulf of Guinea, IEEE Geoscience and Remote Sensing Letters ,https://doi.org/10.1109/LGRS.2014.2379474 |
2016 | JPL MUR MEaSUREs Project, GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA, 2010. Characterisation of Danish Waters with EO and Modelling for Aquaculture Site Selection, Living Planet Symposium, Proceedings of the conference held 9-13 May 2016 in Prague, Czech Republic. Edited by L. Ouwehand. ESA-SP Volume 740 |
2016 | Sampling errors in satellite-derived infrared sea-surface temperatures. Part I: Global and regional MODIS fields, Remote sensing of environment,https://doi.org/10.1016/j.rse.2016.02.026 |
2016 | JPL MUR MEaSUREs Project. 2010. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [2015-11-01] at http://dx.doi.org/10.5067/GHGMR-4FJ01 The WaveGlider Mission in Portugal, datacenter.mohid.com |
2016 | MUR. JPL MUR MEaSUREs project, GHRSST level 4 MUR global foundation sea surface temperature analysis. Ver. 2. PO.DAAC, CA, USA. available at.http//dx.doi.org/10.5067/GHGMR-4FJ01 (accessed 12 February 2015) Geophysical constraints on the Antarctic sea ice cover, Remote sensing of the Environment,https://doi.org/10.1016/j.rse.2016.04.005 |
2016 | JPL MUR MEaSUREs Project (2010). GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC. Pasadena, CA. doi: 10.5067/GHGMR-4FJ01 Phytoplankton Stimulation in Frontal Regions of Benguela Upwelling Filaments by Internal Factors, Frontiers in Marine Science,https://doi.org/10.3389/fmars.2016.00210 |
2016 | Sensitivity of Ocean Surface Salinity Measurements From Spaceborne L-Band Radiometers to Ancillary Sea Surface Temperature, IEEE Transactions on,https://doi.org/10.1109/TGRS.2016.2596100 |
2016 | Sampling Errors in Satellite-Derived Infrared Sea Surface Temperatures |
2017 | FrontEddy Influence on Water Column Properties, Phytoplankton Community Structure, and CrossShelf Exchange of Diatom Taxa in the ShelfSlope Area off, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2017JC013111 |
2017 | JPL MUR MEaSUREs Project. (2010). GHRSST level 4 MUR global foundation sea surface temperature analysis, version 2. Pasadena, CA: PO.DAAC. Retrieved from https://doi.org/10.5067/GHGMR-4FJ01 Dynamical evolution of intense Ierapetra eddies on a 22 year long period, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2017JC013158 |
2017 | Project, J.M.M., 2010. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis, Ver. 2. PO. DAAC, CA, USA. Dataset accessed [2015-11-05] at. http://dx.doi.org/10.5067/GHGMR-4FJ01. Analysis of bloom conditions in fall 2013 in the Strait of Hormuz using satellite observations and model simulations, Marine pollution bulletin,https://doi.org/10.1016/j.marpolbul.2016.12.024 |
2017 | Wind and current forcing combine to drive strong upwelling in the Agulhas Current, Journal of Physical,https://doi.org/10.1175/JPO-D-16-0079.1 |
2017 | Relationship between SST gradients and upwelling off Peru and Chile: model/satellite data analysis+A116, Journal of Remote,https://doi.org/10.1080/01431161.2017.1362130 |
2017 | Rapid Oceanic Response to Tropical Cyclone Oli (2010) over the South Pacific, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-16-0205.1 |
2018 | Abrupt transitions in submesoscale structure in southern drake passage: glider observations and model results, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-17-0192.1 |
2018 | JPL MUR MEaSUREs Project, 2010: GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed at http://dx.doi.org/10.5067/GHGMR-4FJ01 An Assessment of the Caribbean Sea's Upper Ocean Influence on Air-Sea Interaction during Tropical Cyclones, N/A,N/A |
2018 | JPL MUR MEaSUREs Project: GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1), Ver. 4.1. PO.DAAC, CA, USA, available at: https://podaac.jpl.nasa.gov/ dataset/MUR-JPL-L4-GLOB-v4.1 (last access: 17 May 2018), 2015. Consideration of various aspects in a drift study of MH370 debris, Ocean Science,https://doi.org/10.5194/os-14-387-2018 |
2018 | Modeling marine pelagic fish species spatiotemporal distributions utilizing a maximum entropy approach, Fisheries Oceanography,https://doi.org/10.1111/fog.12279 |
2018 | Monitoring the Algerian Basin through glider observations, satellite altimetry and numerical simulations along a SARAL/AltiKa track, Journal of Marine Systems,https://doi.org/10.1016/j.jmarsys.2017.11.006 |
2018 | Dense CTD survey versus glider fleet sampling: comparing data assimilation performance in a regional ocean model west of Sardinia., Ocean Science,https://doi.org/10.5194/os-14-1069-2018 |
2018 | Wiese, D. N., Yuan, D.-N,. Boening, C., Landerer, F. W. and Watkins, M. M.: JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent, Water Height RL05M.1 CRI Filtered Version 2., Ver. 2., PO.DAAC, CA, USA. Dataset accessed [2017-04-04] at http://dx.doi.org/10.5067/TEMSC-2LCR5, https://climate.nasa.gov/vital-signs/land-ice/, 2016. Dynamics of finite causal processes, Earth System Dynamics-Discussions,https://doi.org/10.5194/esd-2018-20 |
2018 | Enrichment of trajectories with environmental data, and standardisation of tagging data using NetCDF,N/A |
2018 | MEaSUREs Project, J.P.L.M.U.R., 2015. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (V4.1). Ver. 4.1. PO.DAAC, CA, USA. Dataset Accessed [2016-03-01] at http://Dx.Doi.Org/10.5067/{GHGMR}-_4{FJ}04. Impact of SST on heavy rainfall events on eastern Adriatic during SOP1 of HyMeX, Atmospheric Research,https://doi.org/10.1016/j.atmosres.2017.09.019 |
2018 | Seasonal simulation of weather extremes, High Performance Computing in Science and Engineering ' 17 ,https://doi.org/10.1007/978-3-319-68394-2_26 |
2018 | Influence of River‐Induced Fronts on Hydrocarbon Transport: A Multiplatform Observational Study, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2017JC013514 |
2018 | Synthetic aperture radar observations of interannual ocean-atmosphere coupling over the Somali Current, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium,https://doi.org/10.1109/IGARSS.2018.8517828 |
2018 | Typhoon–Kuroshio interaction in an air–sea coupled system: Case study of typhoon nanmadol (2011), Ocean Modelling,https://doi.org/10.1016/j.ocemod.2018.10.007 |
2018 | Upscaling impact of wind/sea surface temperature mesoscale interactions on southern Africa austral summer climate, International Journal of Climatology,https://doi.org/10.1002/joc.5726 |
2019 | Validation of the 3D-MOHID Hydrodynamic Model for the Tagus Coastal Area, Water,https://doi.org/10.3390/w11081713 |
2019 | Movement and thermal niche of the first satellite‐tagged Mediterranean spearfish (Tetrapturus belone), Fisheries Oceanography,https://doi.org/10.1111/fog.12413 |
2019 | 生物多様性地域戦略を空間的保全優先度分析で具現化する: 沖縄県の生物多様性保全利用指針 OKINAWA 作成の事例, 日本生態学会 …,N/A |
2019 | Coral mortality event in the Flower Garden Banks of the Gulf of Mexico in July 2016: Local hypoxia due to cross-shelf transport of coastal flood waters?, Continental Shelf …,https://doi.org/10.1016/j.csr.2019.103988 |
2019 | JPL MUR MEaSUREs Project. GHRSST level 4 MUR global Foundation Sea surface temperature analysis. Ver. 3. PO.DAAC, CA, USA. Dataset accessed [2018-08-01] at. https://doi.org/10.5067/GHGMR-4FJ01. Phytoplankton distribution and physical processes off NW Iberia during two consecutive upwelling seasons, Continental Shelf Research,https://doi.org/10.1016/j.csr.2019.103987 |
2019 | Predicting the performance of cosmopolitan species: dynamic energy budget model skill drops across large spatial scales, Marine biology,https://doi.org/10.1007/s00227-018-3462-4 |
2019 | JPL MUR MEaSUREs Project. “GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis.” (2010): Ver. 2. PO.DAAC, CA, USA. Dataset accessed in 2017 at https://doi.org/10.5067/GHGMR-4FJ01. Environmental indicators to reduce loggerhead turtle bycatch offshore of Southern California, Ecological Indicators,https://doi.org/10.1016/j.ecolind.2018.11.001 |
2019 | Relating ocean temperatures to frontal ablation rates at Svalbard tidewater glaciers: Insights from glacier proximal datasets, Scientific reports,https://doi.org/10.1038/s41598-019-45077-3 |
2019 | Sea surface temperature in the Mediterranean: Trends and spatial patterns (1982–2016), Meteorology and Climatology of the Mediterranean and Black Seas,https://doi.org/10.1007/978-3-030-11958-4_18 |
2019 | JPL MUR MEaSUREs Project. 2010. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [2017-08-25] at http://dx.doi.org/10.5067/GHGMR-4FJ01. Future Changes to Species' Range along the South American Coast Based on Statistically Downscaled SST Projections, N/A,N/A |
2019 | Habitat use of toothed whales in a marine protected area based on point process models, Marine Ecology Progress Series,https://doi.org/10.3354/meps12820 |
2019 | In Situ and Satellite Sea Surface Salinity in the Algerian Basin Observed through ABACUS Glider Measurements and BEC SMOS Regional Products, Remote Sensing,https://doi.org/10.3390/rs11111361 |
2019 | A numerical study of island wakes in the Xisha Archipelago associated with mesoscale eddies in the spring, Ocean Modelling,https://doi.org/10.1016/j.ocemod.2019.101406 |
2019 | JPL MUR MEaSUREs Project, 2010: GHRSST level 4 MUR global foundation sea surface temperature analysis, version 2. PO.DAAC, accessed 24 Jan 2019, https://doi.org/10.5067/GHGMR-4FJ01. The Impact of the Amazon–Orinoco River Plume on Enthalpy Flux and Air–Sea Interaction within Caribbean Sea Tropical Cyclones, Monthly Weather Review,https://doi.org/10.1175/MWR-D-18-0295.1 |
2019 | An improved analysis of mesoscale convective systems in the western Mediterranean using weather radar, Atmospheric research,https://doi.org/10.1016/j.atmosres.2019.05.001 |
2019 | Thermal fronts and attracting Lagrangian Coherent Structures in the north Bay of Bengal during December 2015–March 2016, Deep Sea Research Part II: Topical Studies in Oceanography,https://doi.org/10.1016/j.dsr2.2019.104636 |
2019 | JPL OurOcean Project, 2010. GHRSST Level 4 G1SST Global Foundation Sea Surface Temperature Analysis. Ver. 1. PO.DAAC, CA, USA. https://doi.org/10.5067/GHG1S- 4FP01. (accessed 24 May 2017). Toward science-oriented validations of coastal altimetry: Application to the Ligurian Sea, Remote Sensing of Environment,https://doi.org/10.1016/j.rse.2019.01.028 |
2019 | Tracking reveals behavioural coordination driven by environmental constraints in the Black‐vented Shearwater Puffinus opisthomelas, Population Ecology,https://doi.org/10.1002/1438-390X.1024 |
2019 | Model-Observations Synergy in the Coastal Ocean, Frontiers in Marine Science,https://doi.org/10.3389/fmars.2019.00436 |
2020 | JPL MUR MEaSUREs Project (2010). GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed at https://doi.org/10.5067/GHGMR-4FJ01 The Air‐Sea Response During Hurricane Irma's (2017) Rapid Intensification Over the Amazon‐Orinoco River Plume as Measured by Atmospheric and Oceanic …, Journal of Geophysical Research: Atmospheres,https://doi.org/10.1029/2019JD032368 |
2020 | JPL MUR MEaSUREs Project. 2015. JPL MUR MEaSUREs Project, GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. PO.DAAC, CA, USA. The roles of hybridisation, contemporary climate change, and recent range shifts on the redistribution of marine biodiversity,http://eprints.soton.ac.uk/id/eprint/441941 |
2020 | JPL MUR MEaSUREs Project. 2010. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. https://dx.doi.org/10.5067/GHGMR-4FJ01. Acessed date 05 Nov 2016 Thermodynamic Response of a High-Resolution Tropical Indian Ocean Model to TOGA COARE Bulk Air–Sea Flux Parameterization: Case Study for the Bay …, Pure and Applied Geophysics,https://doi.org/10.1007/s00024-020-02448-6 |
2020 | Gulf Stream evolution through the Straits of Florida: the role of eddies and upwelling near Cuba, Ocean Dynamics,https://doi.org/10.1007/s10236-020-01381-5 |
2020 | JPL MUR MEaSUREs Project. 2010. GHRSST level 4 MUR Global Foundation sea surface temperature analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [2015‐11‐05] at https://doi.org/10.5067/GHGMR-4FJ01. Tide‐Induced Periodic Sea Surface Temperature Drops in the Coral Reef Area of Nanwan Bay, Southern Taiwan, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2019JC015226 |
2020 | JPL MUR MEaSUREs Project. 2010. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [2017-11-05] at http://dx.doi.org/10.5067/GHGMR-4FJ01 Identification and Multi-scale Analysis of Successive Atmospheric Rivers in California, N/A,https://escholarship.org/uc/item/8c43730c |
2020 | JPL MUR MEaSUREs Project (2010) GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [2018-01-05] at https://doi.org/10.5067/GHGMR-4FJ01 A coupled model analyses on the interaction between oceanic eddies and tropical cyclones over the Bay of Bengal, Ocean Dynamics,https://doi.org/10.1007/s10236-019-01330-x |
2020 | Mixing it up in Alaska: Habitat use of adult female Steller sea lions reveals a variety of foraging strategies, Ecosphere,https://doi.org/10.1002/ecs2.3021 |
2020 | Observations of shoaling density current regime changes in internal wave interactions, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-19-0176.1 |
2020 | Peter Good, Robin Chadwick1, 2, Christopher E. Holloway3, John Kennedy1, Jason A. Lowe1, 4, Nature,https://doi.org/10.1038/s41586-020-2887-3 |
2020 | Plankton spatial variability within the Marquesas archipelago, South Pacific, Journal of Marine Systems,https://doi.org/10.1016/j.jmarsys.2020.103432 |
2020 | Bifurcation and upwelling of the equatorial undercurrent west of the Galapagos archipelago, Journal of Physical Oceanography,https://doi.org/10.1175/JPO-D-19-0110.1 |
2020 | JPL MUR MEaSUREs Project, 2010. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA, http://dx.doi.org/10.5067/GHGMR-4FJ01. Climate-driven variability in Euphausia pacifica size distributions off northern California, Progress in Oceanography,https://doi.org/10.1016/j.pocean.2020.102412 |
2020 | Relative dispersion of surface drifters in the North Sea: The effect of tides on mesoscale diffusivity, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2019JC015925 |
2020 | Small phytoplankton dominate western North Atlantic biomass, The ISME Journal,https://doi.org/10.1038/s41396-020-0636-0 |
2021 | PODAAC. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis product. Version 2.0. Available online: https://podaac.jpl.nasa.gov/dataset/JPL-L4UHfnd-GLOB-MUR (accessed on 20 September 2018) Ocean-Surface Heterogeneity Mapping (OHMA) to Identify Regions of Change, Journal,10.3390/rs13071283 |
2021 | Economic mapping and assessment of Cymodocea nodosa meadows as nursery grounds for commercially important fish species. A case study in the Canary …, Journal,10.3897/oneeco.6.e70919 |
2021 | High sensitivity of tropical precipitation to local sea surface temperature, Journal,10.1038/s41586-020-2887-3 |
2021 | A Global, Multiproduct Analysis of Coastal Marine Heatwaves: Distribution, Characteristics, and Long-Term Trends, Journal,10.1029/2020JC016708 |
2021 | A tropical Atlantic dynamics analysis by combining machine learning and satellite data, Journal,10.1016/j.asr.2020.09.044 |
2021 | Influence of temporal resolution on the performance of global ionospheric maps, Journal,10.1007/s00190-021-01483-y |
2021 | The cooperative IGS RT-GIMs: a reliable estimation of the global ionospheric electron content distribution in real time, Journal,10.5194/essd-13-4567-2021 |
2021 | JPL MUR MEaSUREs. GHRSST Level 4 MUR global foundation sea surface temperature analysis. Version 4.1 PO.DAAC, CA, USA. Dataset accessed 23 Jan 2021 at https://doi.org/10.5067/GHGMR-4FJ04 (2015). The ecological importance of habitat complexity to the Caribbean coral reef herbivore Diadema antillarum: three lines of evidence, Journal,10.1038/s41598-021-87232-9 |
2021 | JPL MUR MEaSUREs Project. (2015). GHRSST level 4 MUR global foundation sea surface temperature analysis (v4.1) . Ver. 4.1. PO.DAAC, CA, USA. https://doi.org/10.5067/GHGMR-4FJ04 The effect of resolution on vertical heat and carbon transports in a regional ocean circulation model of the Argentine Basin, Journal,10.1029/2021JC017235 |
2021 | The role of mesoscale dynamics over northwestern cuba in the loop current evolution in 2010, during the deepwater horizon incident, Journal,10.3390/jmse9020188 |
DOI | 10.5067/GHGMR-4FJ01 |
Short Name | JPL-L4UHfnd-GLOB-MUR |
Description | A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.011 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes.This data set is funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects), and created by a team led by Dr. Toshio Chin from JPL. |
Version | 2 |
Dataset Type | DEPRECATED |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Please contact podaac@podaac.jpl.nasa.gov for more info.
Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
Citation | JPL MUR MEaSUREs Project. 2010. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 2. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GHGMR-4FJ01
For more information see Data Citations and Acknowledgments.
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Journal Reference | Information on the analysis can be found at ftp://mariana.jpl.nasa.gov/mur_sst/tmchin/docs/ATBD/ . |
Version | Dataset | Version Date | Status | |
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4.1 | GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1) | 2021-04-07 | ACTIVE | 2021-04-07T16:30:00.000Z |
2 | GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis | Present | RETIRED. | |