GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)
31 Publications Cited this Dataset
Citation metrics available for years (2015-2019)
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Publications citing GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)
Citation metrics available for years (2015-2019)
| Year | Citation |
|---|---|
| 2015 | ANALYSIS OF OZONE PRODUCTION AND ITS SENSITIVITY IN HOUSTON USING THE DATA COLLECTED DURING DISCOVER-AQ |
| 2015 | Northward migration of Cape São Tomé rings, Brazil, Continental Shelf Research,https://doi.org/10.1016/j.csr.2015.06.010 |
| 2015 | Observations of meandering and upwelling events in the AgulhasCurrent at 34° s |
| 2017 | Shelf-edge exchange in a numerical model of the Shetland shelf, PhD Thesis,http://hdl.handle.net/10044/1/52909 |
| 2017 | A multi-scale high-resolution analysis of global sea surface temperature, Remote Sensing of,https://doi.org/10.1016/j.rse.2017.07.029 |
| 2017 | GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1). Ver. 4.1. PO.DAAC, CA,USA. Available at http://dx.doi.org/10.5067/GHGMR-4FJ04. (Accessed 21 September 2016) High-resolution modeling of thermal thresholds and multiple environmental influences on coral bleaching for regional and local reef managements, bioRxiv,https://doi.org/10.1101/211854 |
| 2017 | JPL MUR MEaSUREs Project(2015).GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)In:CA, USA: PO.DAAC, DOI:https://doi.org/10.5067/GHGMR-4FJ04Ver. 4.1. Collaborations and Partnerships in NASA's Earth Science Data Systems, Data Science Journal,https://doi.org/10.5334/dsj-2017-051 |
| 2017 | JPL MUR MEaSUREs Project. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1). Ver. 4.1. PO.DAAC, CA, USA.https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1. Accessed 10 Feb 2016. Remote sensing measurements of sea surface temperature as an indicator of Vibrio parahaemolyticus in oyster meat and human illnesses, Environmental,https://doi.org/10.1186/s12940-017-0301-x |
| 2017 | JPL MUR MEaSUREs Project. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1) (PO.DAAC, 2015). Reconciling the opposing effects of warming on phytoplankton biomass in 188 large lakes, Scientific reports,https://doi.org/10.1038/s41598-017-11167-3 |
| 2018 | At-sea distribution and fine-scale habitat use patterns of zooplanktivorous Cassin's auklets during the chick-rearing period, Marine biology,https://doi.org/10.1007/s00227-018-3434-8 |
| 2018 | At-sea distribution and foraging behaviour of two North Pacific seabirds revealed through GPS tracking, N/A,N/A |
| 2018 | 36.Physical Oceanography Distributed Active Archive Center. JPL MUR MEaSUREs Project. 2015. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1). Version 4.1.; Physical Oceanography Distributed Active Archive Center: Pasadena, CA, USA, 2015. Coastal Upwelling Front Detection off Central Chile (36.5–37° S) and Spatio-Temporal Variability of Frontal Characteristics, Remote Sensing,https://doi.org/10.3390/rs10050690 |
| 2018 | Movement, dive behavior, and habitat-use of common murres (Uria aalge) in the Northern California Current System under variable ocean conditions, N/A,N/A |
| 2018 | NASA, 2002. Jet Propulsion Laboratory, Physical Oceanography Distributed Active Archive Center (JPL PO.DAAC). GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1) (GDS versions 1 and 2). National Oceanographic Data Center, NOAA. (Accessed 19 December 2017). Ocean circulation and frontal structure near the southern Kerguelen Plateau: the physical context for the Kerguelen Axis ecosystem study, Deep-Sea Research Part II: Topical Studies in Oceanography,https://doi.org/10.1016/j.dsr2.2018.07.013 |
| 2018 | Does Sea Surface Temperature contribute to determining range limits and expansion of mangroves in Eastern South America (Brazil)?, Remote Sensing,https://doi.org/10.3390/rs10111787 |
| 2018 | MEaSUREs Project, JPL MUR, 2015. GHRSST Level 4 MUR Global Foundation Sea Surface. Temperature Analysis (v4.1). Ver. 4.1. PO.DAAC, CA, USA. Temperature Analysis (v4.1). Ver. 4.1. PO.DAAC, CA, USA. Exploring the synergy between along-track altimetry and tracer fronts to reconstruct surface ocean currents, Remote Sensing of Environment,https://doi.org/10.1016/j.rse.2018.04.036 |
| 2018 | JPL MUR MEaSUREs Project. 2015. GHRSST level 4 MUR global foundation sea surface temperature analysis (v4.1). (Version 4.1). PO.DAAC, CA, USA. Available at http://dx.doi.org/10.5067/GHGMR-4FJ04 (accessed 21 September 2016). High-resolution modeling of thermal thresholds and environmental influences on coral bleaching for local and regional reef management, PeerJ,https://doi.org/10.7717/peerj.4382 |
| 2018 | Salinity Simulation in Florida Bay with the Regional Oceanic Modeling System (ROMS), N/A,https://doi.org/10.13140/RG.2.2.24828.23683 |
| 2018 | The Impacts of Anthropogenic Global Change and Local Human Activities on Reef-Building Corals on the Belize Mesoamerican Barrier Reef System, N/A,N/A |
| 2019 | Whales in warming water: Assessing breeding habitat diversity and adaptability in Oceania's changing climate, Global Change Biology,https://doi.org/10.1111/gcb.14563 |
| 2019 | Crown-of-thorns starfish impede the recovery potential of coral reefs following bleaching, Marine Biology,https://doi.org/10.1007/s00227-019-3543-z |
| 2019 | MUR MEaSUREs Project, J.P.L., 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, Accessed date: 10 June 2017. Proteomic changes across a natural temperature gradient in a marine gastropod, Marine Environmental Research,https://doi.org/10.1016/j.marenvres.2019.06.002 |
| 2019 | Environmental representativity in marine protected area networks over large and partly unexplored seascapes, Global ecology and Conservation,https://doi.org/10.1016/j.gecco.2019.e00545 |
| 2019 | Extreme reduction in nutritional value of a key forage fish during the Pacific marine heatwave of 2014-2016, Marine Ecology Progress Series,https://doi.org/10.3354/meps12891 |
| 2019 | MUR MEaSUREs Project, J.P.L., 2015. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis V4, vol. 1 PO.DAAC, CA, USA Last access March/2018. https://doi.org/10.5067/GHGMR-4FJ04, Ver. 4.1. https://doi.org/10.5067/GHGMR-4FJ04, Ver. 4.1. First measurements of the ocean-atmosphere CO2 fluxes at the Cabo Frio upwelling system region, Southwestern Atlantic Ocean, Continental Shelf Research,https://doi.org/10.1016/j.csr.2019.05.008 |
| 2019 | Fluctuating reproductive rates in Hawaii's humpback whales, Megaptera novaeangliae, reflect recent climate anomalies in the North Pacific, Royal Society Open Science,https://doi.org/10.1098/rsos.181463 |
| 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 | Sixty years since the creation of Lake Kariba: Thermal and oxygen dynamics in the riverine and lacustrine sub-basins, PloS one,https://doi.org/10.1371/journal.pone.0224679 |
| 2019 | Jet Propulsion Laboratory MUR MEaSUREs Project (2015). GHRSST level 4 MUR global foundation sea surface temperature analysis (v4.1). Ver. 4.1. PO.DAAC, CA, USA. Dataset accessed [YYYY‐MM‐DD] at https://doi.org/10.5067/GHGMR‐4FJ04. High Rates of N2 Fixation in Temperate, Western North Atlantic Coastal Waters Expand the Realm of Marine Diazotrophy, Global Biogeochemical Cycles,https://doi.org/10.1029/2018GB006130 |
| 2019 | JPL MUR MEaSUREs Project. 2015. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1). Ver. 4.1. PO.DAAC, CA, USA. Dataset accessed [2018-05] at http://dx.doi.org/10.5067/GHGMR-4FJ04. Spatial and temporal visualizations of satellite-derived sea surface temperatures for Alaska fishery management areas, Pacific States E-Journal of Scientific Visualizations,https://doi.org/10.28966/PSESV.2019.003 |
| 2019 | Saildrone. Saildrone Baja Field Campaign Surface and ADCP Measurements. Ver. 1.0. PO.DAAC, CA, USA, 2018. Available online: http://dx.doi.org/10.5067/SDRON-SURF0 (accessed on 19 December 2018). Using saildrones to validate satellite-derived sea surface salinity and sea surface temperature along the California/Baja Coast, Remote Sensing,https://doi.org/10.3390/rs11171964 |
| DOI | 10.5067/GHGMR-4FJ04 |
| Short Name | MUR-JPL-L4-GLOB-v4.1 |
| Description | A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.01 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 (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, 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. The dataset also contains additional variables for some granules including a SST anomaly derived from a MUR climatology and the temporal distance to the nearest IR measurement for each pixel.This dataset 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 M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. Use the file global metadata "history:" attribute to determine if a granule is near-realtime or retrospective. |
| Version | 4.1 |
| 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: 2002-Jun-01 to Present Granule Time Span: 2002-Jun-01 to 2020-Dec-10 |
| Resolution | Spatial Resolution: 0.01 degrees (Latitude) x 0.01 degrees (Longitude) Temporal Resolution: 1 Day |
| Projection | Projection Type: Cylindrical Lat-Lon Projection Detail: Regular 0.011 degree grid Ellipsoid: WGS 84 |
| Platform/Sensor | Aqua / Platform Name: Earth Observing System, AQUA (Aqua) Orbit Period: 98.4 minutes Inclination Angle: 98.1 degrees MODIS SENSOR Name: Moderate-Resolution Imaging Spectroradiometer (MODIS) Swath Width: 2330.0 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. CORIOLIS / Platform Name: Coriolis (CORIOLIS) Orbit Period: 101.6 minutes Inclination Angle: 98.7 degrees WINDSAT SENSOR Name: WindSat (WINDSAT) Swath Width: 1200.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Terra / Platform Name: Earth Observing System, TERRA (Terra) Orbit Period: 98.8 minutes Inclination Angle: 98.2 degrees MODIS SENSOR Name: Moderate-Resolution Imaging Spectroradiometer (MODIS) Swath Width: 2330.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. NOAA-19 / Platform Name: National Oceanic & Atmospheric Administration-19 (NOAA-19) Orbit Period: 102.12 minutes Inclination Angle: 98.74 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. InSitu / Platform Name: InSitu (InSitu) Orbit Period: -999.0 minutes Inclination Angle: -999.0 degrees InSitu SENSOR Name: Ships and Moored and Drifting Buoys (InSitu) Swath Width: -999.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. GCOM-W1 / Platform Name: Global Change Observation Mission 1st - Water (SHIZUKU) (GCOM-W1) Orbit Period: 100.0 minutes Inclination Angle: 98.19 degrees AMSR2 SENSOR Name: Advanced Microwave Scanning Radiometer 2 (AMSR2) Swath Width: 1450.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. |
| Project | Group for High Resolution Sea Surface Temperature (GHRSST) |
| Data Provider | Publisher: JPL NASA Creator: JPL MUR MEaSUREs Project Release Place: Jet Propulsion Laboratory Release Date: 2015-Mar-11 Resource: http://mur.jpl.nasa.gov |
| Keyword(s) | GHRSST, sea surface temperature, Level 4, sst, surface temperature, MUR, foundation SST, SST anomaly, anomaly |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
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| Citation | JPL MUR MEaSUREs Project. 2015. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 4.1. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GHGMR-4FJ04
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Information on the analysis can be found at https://podaac-tools.jpl.nasa.gov/measures-drive/files/mur_sst/tmchin/docs/ATBD | |||||||