Please Note: This dataset is retired, and is displayed for archive purposes only, and may not reflect the most updated information.
However, a newer version exists.
GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS version 2). DOI: https://doi.org/10.5067/GHOST-4FK02
For Version History information click here >>
However, a newer version exists.
GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS version 2). DOI: https://doi.org/10.5067/GHOST-4FK02
For Version History information click here >>
GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis
(UKMO-L4HRfnd-GLOB-OSTIA)
42 Publications Cited this Dataset
Citation metrics available for years (2014-2022)
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Publications citing GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis
Citation metrics available for years (2014-2022)
| Year | Citation |
|---|---|
| 2014 | Migratory ecology of sea turtles, N/A ,https://docs.lib.purdue.edu/open_access_dissertations/352 |
| 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 |
| 2015 | Dynamics and variability of the Subantarctic mixed-layer as determined from a high resolution glider dataset |
| 2015 | Western Boundary Dynamics in the Arabian Sea |
| 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 | 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 | 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 |
| 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 | 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 |
| 2019 | Coupled ocean-atmosphere dynamics of the 2017 extreme coastal El Niño, Nature Communications ,https://doi.org/10.1038/s41467-018-08258-8 |
| 2019 | Validation of the 3D-MOHID Hydrodynamic Model for the Tagus Coastal Area, Water ,https://doi.org/10.3390/w11081713 |
| 2019 | The Variability of Winds and Fluxes Observed Near Submesoscale Fronts, Journal of Geophysical Research: Oceans ,https://doi.org/10.1029/2019JC015236 |
| 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 | 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 | 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 |
| 2020 | 고해상도 해양순환모델을 활용한 제주도 주변해역의 해수유동 특성, Ocean and Polar Research ,http://dx.doi.org/10.4217/OPR.2020.42.3.211 |
| 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 | 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 |
| 2021 | A tropical Atlantic dynamics analysis by combining machine learning and satellite data, Journal ,10.1016/j.asr.2020.09.044 |
| 2021 | UK Met Office 2005: OSTIA L4 SST Analysis, Ver. 1.0. PO. DAAC, CA, USA, https://doi.org/10.5067/GHOST-4FK01, 2005. An observation-based evaluation and ranking of historical Earth system model simulations in the northwest North Atlantic Ocean, Journal ,10.5194/bg-18-1803-2021 |
| 2021 | Generalized Kalman Filter and Ensemble Optimal Interpolation, Their Comparison and Application to the Hybrid Coordinate Ocean Model, Journal ,10.3390/math9192371 |
| 2021 | Observed water exchange between the South China Sea and Java Sea through Karimata strait, Journal ,10.1029/2020JC016608 |
| 2021 | Available online: Https://Podaac.Jpl.Nasa.Gov/Dataset/UKMO-L4HRfnd-GLOB-OSTIA (accessed on 16 September 2019). Satellite sea surface temperature product comparison for the Southern African marine region, Journal ,10.3390/rs13071244 |
| 2021 | Satellite-observed multi-scale variability of sea surface chlorophyll-a concentration along the South Coast of the Sumatra-Java Islands, Journal ,10.3390/rs13142817 |
| 2021 | Office. U M 2005 OSTIA L4 SST Analysis. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [2021- 05-01] The application of coupled 3d hydrodynamic and oil transport model to oil spill incident in karawang offshore, indonesia, Conference Paper ,10.1088/1755-1315/925/1/012048 |
| 2021 | Tracking Atlantic Salmon off the West Greenland Coast and in the Labrador Sea with PSATs, Report |
| 2021 | 2005). Ukmo, Ghrsst Level 4 Ostia Global Foundation Sea Sur- face Temperature Analysis. Accessed: Oct. 2020. [Online]. Available: http://podaac.jpl.nasa.gov/dataset/UKMO-L4HRfnd-GLOB-OSTIA W-Net: A Deep Network for Simultaneous Identification of Gulf Stream and Rings From Concurrent Satellite Images of Sea Surface Temperature and Height, Journal ,10.1109/TGRS.2021.3096202 |
| 2022 | Island mass effect: A review of oceanic physical processes, Frontiers in Marine Science ,10.3389/fmars.2022.894860 |
| 2022 | Warm bias of cold sea surface temperatures in the East Sea (Japan Sea) ,10.3389/fmars.2022.965346 |
| 2022 | Slope and Shelf Flow Anomalies Off Oregon Influenced by the El Niño Remote Oceanic Mechanism in 2014–2016, Journal of Geophysical Research: Oceans ,10.1029/2022JC018604 |
| 2022 | Assessing Sea Surface Temperatures Estimated from Fused Infrared and Microwave Data, Water ,10.3390/w14213357 |
| 2022 | Small‐Scale Spatial Variations of Air‐Sea Heat, Moisture, and Buoyancy Fluxes in the Tropical Trade Winds, Journal of Geophysical Research: Oceans ,10.1029/2022JC018972 |
| 2022 | Non‐Equilibrium Fractionation Factors for D/H and 18O/16O During Oceanic Evaporation in the North‐West Atlantic Region, Journal of Geophysical Research: Atmospheres ,10.1029/2022JD037076 |
| 2022 | Comparison of species-specific qPCR and metabarcoding methods to detect small pelagic fish distribution from open ocean environmental DNA, PLoS ONE ,10.1371/journal. pone.0273670 |
| 2022 | 2H/H and 18O/16O Non-Equilibrium Fractionation Factors for Ocean Evaporation in the North-West Atlantic Region, Authorea ,10.1002/essoar.10511947.1 |
| 2022 | A warm and a cold spot in cape cod waters amid the recent new England shelf warming, Frontiers in Marine Science ,10.3389/fmars.2022.922046 |
| 2022 | Variability of the Red River plume in the Gulf of Tonkin from stochastic modeling and cluster analysis, Université Paul Sabatier |
| 2022 | Interannual to intraseasonal variability of the South Vietnam Upwelling: the role of high-frequency atmospheric forcing, mesoscale dynamics, coastal circulation and …, Université Paul Sabatier |
| 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 | 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 | 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) | 2023-01-11 | ACTIVE | 2023-01-11T19:53:00.000Z |
| 1.0 | GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis | Present | RETIRED. | |