GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis
(UKMO-L4HRfnd-GLOB-OSTIA)
22 Publications Cited this Dataset
Citation metrics available for years (2014-2020)
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Publications citing GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis
Citation metrics available for years (2014-2020)
| Year | Citation |
|---|---|
| 2014 | Mesoscale dynamics in the Arabian Sea and a focus on the Great Whirl life cycle: A numerical investigation using ROMS, Journal of Geophysical Research: Oceans,https://doi.org/10.1002/2014JC009857 |
| 2014 | Migratory ecology of sea turtles, N/A,https://docs.lib.purdue.edu/open_access_dissertations/352 |
| 2015 | Western Boundary Dynamics in the Arabian Sea |
| 2015 | Dynamics and variability of the Subantarctic mixed-layer as determined from a high resolution glider dataset |
| 2016 | UK Met Office: GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis, Ver. 1.0. PO.DAAC, CA, USA,doi:10.5067/GHOST-4FK01 (last access: 11 March 2016), 2005 A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies, Earth System Science Data,https://doi.org/10.5194/essd-8-165-2016 |
| 2017 | Interannual Variation in Offshore Advection of AmazonOrinoco Plume Waters: Observations, Forcing Mechanisms, and Impacts, Journal of,https://doi.org/10.1002/2017JC013103 |
| 2017 | UK Met Office Office. GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis. Ver. 1.0. In: PO.DAAC, (ed.). CA,USA: 2005. Mass coral bleaching due to unprecedented marine heatwave in Papahnaumokukea Marine National Monument (Northwestern Hawaiian Islands), PloS one,https://doi.org/10.1371/journal.pone.0185121 |
| 2018 | Expected Performances of the Copernicus Imaging Microwave Radiometer (CIMR) for an All‐Weather and High Spatial Resolution Estimation of Ocean and Sea Ice …, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2018JC014408 |
| 2018 | 24. UK Met Office. 2005. GHRSST level 4 OSTIA global foundation sea surface temperature analysis. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed 30 Apr 2015 at https://doi.org/10.5067/GHOST-4FK01. Revealing the full ocean migration of individual Atlantic salmon, Animal Biotelemetry,https://doi.org/10.1186/s40317-018-0146-2 |
| 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 | 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 | UK Met Office. GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [2019-01-31] at, https://doi.org/10.5067/GHOST-4FK01. (2005). Oceanographic Variability induced by tides, the intraseasonal cycle and Warm Subsurface Water intrusions in Maxwell Bay, King George island (West …, Scientific Reports,https://doi.org/10.1038/s41598-019-54875-8 |
| 2019 | Coupled ocean-atmosphere dynamics of the 2017 extreme coastal El Niño, Nature Communications,https://doi.org/10.1038/s41467-018-08258-8 |
| 2019 | Sensitivity of the near‐shore oceanic circulation off Central Chile to coastal wind profiles characteristics, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2018JC014051 |
| 2019 | Investigating the performance of coupled WRF-ROMS simulations of Hurricane Irene (2011) in a regional climate modeling framework, Atmospheric Research,https://doi.org/10.1016/j.atmosres.2018.08.017 |
| 2019 | A hybrid data assimilation method and its comparison with an Ensemble Optimal Interpolation scheme in conjunction with the numerical ocean model using …, Ocean Science,https://doi.org/10.5194/os-2019-56 |
| 2019 | The Variability of Winds and Fluxes Observed Near Submesoscale Fronts, Journal of Geophysical Research: Oceans,https://doi.org/10.1029/2019JC015236 |
| 2020 | РЕЗУЛЬТАТЫ ГИДРОМЕТЕОРОЛОГИЧЕСКИХ ИЗМЕРЕНИЙ КОМПЛЕКСОМ ПРИБОРОВ БУЯ WAVESCAN НА ЮГО-ЗАПАДНОМ ШЕЛЬФЕ ЗАЛИВА ПЕТРА …, Океанологические …,https://doi.org/10.29006/1564-2291.JOR-2020.48(4).1 |
| 2020 | 고해상도 해양순환모델을 활용한 제주도 주변해역의 해수유동 특성, Ocean and Polar Research,http://dx.doi.org/10.4217/OPR.2020.42.3.211 |
| 2020 | A tropical Atlantic dynamics analysis by combining machine learning and satellite data, Advances in Space Research,https://doi.org/10.1016/j.asr.2020.09.044 |
| 2020 | Current Systems in the Adjacent Seas of Jeju Island Using a High-Resolution Regional Ocean Circulation Model, Ocean and Polar Research,http://dx.doi.org/10.4217/OPR.2020.42.3.211 |
| DOI | 10.5067/GHOST-4FK01 |
| Short Name | UKMO-L4HRfnd-GLOB-OSTIA |
| Description | A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation (OI) on a global 0.054 degree grid. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) analysis uses satellite data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI), and in situ data from drifting and moored buoys. This analysis has a highly smoothed SST field and was specifically produced to support SST data assimilation into Numerical Weather Prediction (NWP) models. |
| Version | 1.0 |
| Dataset Type | ACTIVE |
| Measurement | OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE |
| Processing Level | 4 |
| Coverage | Region: GLOBAL North Bounding Coordinate: 90 degrees South Bounding Coordinate: -90 degrees West Bounding Coordinate: -180 degrees East Bounding Coordinate: 180 degrees Time Span: 2006-Apr-01 to Present Granule Time Span: 2006-Apr-01 to 2022-Dec-04 |
| Resolution | Spatial Resolution: 0.054 degrees (Latitude) x 0.054 degrees (Longitude) Temporal Resolution: 1 Day |
| Projection | Projection Type: Cylindrical Lat-Lon Projection Detail: Regular 0.054 degree grid Ellipsoid: WGS 84 |
| Platform/Sensor | TRMM / Platform Name: Tropical Rainfall Measuring Mission (TRMM) Orbit Period: 92.4 minutes Inclination Angle: 35.0 degrees TMI SENSOR Name: TRMM Microwave Imager (TMI) Swath Width: 878.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. MSG2 / Platform Name: Meteosat Second Generation 2 (MSG2) Orbit Period: -999.0 minutes Inclination Angle: -999.0 degrees SEVIRI SENSOR Name: Spinning Enhanced Visible and Infrared Imager (SEVIRI) Swath Width: 11140.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. NOAA-16 / Platform Name: National Oceanic & Atmospheric Administration-16 (NOAA-16) Orbit Period: 102.1 minutes Inclination Angle: 99.0 degrees AVHRR-3 SENSOR Name: Advanced Very High Resolution Radiometer-3 (AVHRR-3) Swath Width: 2400.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. NOAA-17 / Platform Name: National Oceanic & Atmospheric Administration-17 (NOAA-17) Orbit Period: 101.2 minutes Inclination Angle: 98.7 degrees AVHRR-3 SENSOR Name: Advanced Very High Resolution Radiometer-3 (AVHRR-3) Swath Width: 2400.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Aqua / Platform Name: Earth Observing System, AQUA (Aqua) Orbit Period: 98.4 minutes Inclination Angle: 98.1 degrees AMSR-E SENSOR Name: Advanced Microwave Scanning Radiometer-EOS (AMSR-E) Swath Width: 1450.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Show More |
| Project | Group for High Resolution Sea Surface Temperature (GHRSST) |
| Data Provider | Publisher: UK Met Office Creator: UK Met Office Release Place: Met Office, Exeter, UK Release Date: 2005-Dec-23 |
| Keyword(s) | GHRSST, sea surface temperature, Level 4, sst, L4, surface temperature |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
| DIRECT ACCESS | |
| PO.DAAC DRIVE | https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/L4/GLOB/UKMO/OSTIA PO.DAAC Drive |
| OPENDAP DATA | https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/L4/GLOB/UKMO/OSTIA/ The OPeNDAP base directory location for the collection. |
| Web Service | https://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GHOST-4FK01&apidoc (Search Granule) |
| Format | NETCDF |
| TOOLS AND SERVICES | |
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| DATA CITATION POLICY | |
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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 | UK Met Office. 2005. OSTIA L4 SST Analysis. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GHOST-4FK01
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Stark, J.D., C. J. Donlon, M. J. Martin and M. E. McCulloch, 2007, OSTIA : An operational, high resolution, real time, global sea surface temperature analysis system., Oceans 07 IEEE Aberdeen, conference proceedings. Marine challenges: coastline to deep sea. Aberdeen, Scotland.IEEE. . |
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| Version | Dataset | Version Date | Status | |
|---|---|---|---|---|
| 2.0 | GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS version 2) | 2013-02-14 | ACTIVE | 2013-02-14T01:44:31.886Z |
| 1.0 | GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis | 2006-03-03 | ACTIVE | 2006-03-03T00:00:00.000Z |