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Posted to commits@sdap.apache.org by le...@apache.org on 2017/12/19 14:13:03 UTC
[02/17] incubator-sdap-mudrod git commit: SDAP-7 Change all package
namespaces to org.apache.sdap
http://git-wip-us.apache.org/repos/asf/incubator-sdap-mudrod/blob/39379fa9/service/mudrod_service.log.2016-10-13
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diff --git a/service/mudrod_service.log.2016-10-13 b/service/mudrod_service.log.2016-10-13
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-2016-10-13 10:22:59,462 WARN hadoop.ParquetRecordReader - Can not initialize counter due to context is not a instance of TaskInputOutputContext, but is org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
-2016-10-13 10:22:59,733 INFO ontology.OntologyFactory - Using ontology extension: Local
-2016-10-13 10:22:59,737 INFO process.LocalOntology - Creating new ontology
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-2016-10-13 10:25:31,381 INFO search.SearchMetadataResource - Response received: {}
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-2016-10-13 10:25:31,395 INFO ontology.OntologyResource - Response received: []
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-2016-10-13 10:25:31,560 INFO integration.LinkageIntegration -
-************************ UserHistoryLinkage results***************************
-2016-10-13 10:25:31,577 INFO integration.LinkageIntegration - ( atmospheric water vapor 0.42 )
-2016-10-13 10:25:31,578 INFO integration.LinkageIntegration - ( oscat 0.42 )
-2016-10-13 10:25:31,578 INFO integration.LinkageIntegration - ( radar 0.41 )
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-2016-10-13 10:25:31,579 INFO integration.LinkageIntegration - ( geo 3 altimeter 0.35 )
-2016-10-13 10:25:31,579 INFO integration.LinkageIntegration - ( dmsp f08 0.35 )
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-2016-10-13 10:25:31,594 INFO integration.LinkageIntegration -
-************************ ClickStreamLinkage results***************************
-2016-10-13 10:25:31,594 INFO integration.LinkageIntegration - ( ice extent 0.86 )
-2016-10-13 10:25:31,594 INFO integration.LinkageIntegration - ( seawind adeo ii level 3 sigma 0 local time day browse dataset 0.76 )
-2016-10-13 10:25:31,595 INFO integration.LinkageIntegration - ( seawind quikscat level 3 sigma 0 local time day browse dataset 0.74 )
-2016-10-13 10:25:31,595 INFO integration.LinkageIntegration - ( sea ice age 0.73 )
-2016-10-13 10:25:31,595 INFO integration.LinkageIntegration - ( arctic 0.73 )
-2016-10-13 10:25:31,595 INFO integration.LinkageIntegration - ( ice 0.69 )
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-2016-10-13 10:25:31,596 INFO integration.LinkageIntegration - ( quikscat south china sea 0.63 )
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-2016-10-13 10:25:31,597 INFO integration.LinkageIntegration - ( scat byu l3 ow sigma0 enhance 0.63 )
-2016-10-13 10:25:31,607 INFO integration.LinkageIntegration -
-************************ MetadataLinkage results***************************
-2016-10-13 10:25:31,607 INFO integration.LinkageIntegration - ( cryosphere 0.96 )
-2016-10-13 10:25:31,629 INFO integration.LinkageIntegration - ( ice extent 0.96 )
-2016-10-13 10:25:31,630 INFO integration.LinkageIntegration - ( spectral engineering 0.85 )
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-2016-10-13 10:25:31,631 INFO integration.LinkageIntegration - ( scp 0.7 )
-2016-10-13 10:25:31,631 INFO integration.LinkageIntegration - ( david long 0.66 )
-2016-10-13 10:25:31,631 INFO integration.LinkageIntegration - ( byu 0.66 )
-2016-10-13 10:25:31,631 INFO integration.LinkageIntegration - ( sir 0.66 )
-2016-10-13 10:25:31,631 INFO integration.LinkageIntegration - ( backscatter 0.59 )
-2016-10-13 10:25:31,632 INFO integration.LinkageIntegration - ( sigma 0 0.59 )
-2016-10-13 10:25:31,636 INFO integration.LinkageIntegration -
-************************ SWEETLinkage results***************************
-2016-10-13 10:25:33,831 INFO jni.JniLoader - successfully loaded /var/folders/mw/f_p4r21n5ld16hnyd7j8r8w4fv8362/T/jniloader1470683595192669599netlib-native_system-osx-x86_64.jnilib
-2016-10-13 10:25:34,271 INFO search.SearchMetadataResource - Response received: "{\"PDResults\":[{\"Short Name\":\"QSCAT_ARCTIC_SEAICE_AGE_CLASS_BYUSCP_V1\",\"Long Name\":\"SeaWinds on QuikSCAT Arctic Sea Ice Age Classification (BYU/SCP)\",\"Topic\":\"Sea Ice Age\",\"Abstract\":\"This SeaWinds on QuikSCAT scatterometer-derived Arctic sea ice classification dataset is provided as a service to the ocean and sea ice research communities on behalf of Dr. David Long at Brigham Young University (BYU) and the Scatterometer Climate Record Pathfinder (SCP). This dataset provides nominal 4.45 km (pixel resolution at reference latitude 70 N) gridded fields that classify First-Year (FY) and Multi-Year (MY) sea ice using SeaWinds on QuikSCAT scatterometer observations on a daily basis from 20 June 2002 through 23 November 2009. It is unique from other sea ice classification datasets primarily due to its utilization of passive microwave AMSR-E data to provide the initial ocean/i...\",\"Release
Date\":\"12/31/2012\"},{\"Short Name\":\"NSCAT_LEVEL_1.7_V2\",\"Long Name\":\"NSCAT Level 1.7 SDR, Sigma-0 Cells\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"The NASA Scatterometer (NSCAT) Level 1.7 ocean sigma-0 referenced to 50 km wind vector cells (WVC) contains daily backscatter (sigma-0) data from ascending and descending passes. Rain flagging information is not included. Data is flagged where measurements are either missing, ambiguous, or contaminated by land/sea ice. This is the most up-to-date version, which designates the final phase of calibration, validation and science data processing, which was completed in November of 1998, on behalf of the JPL NSCAT Project; re-processing had only minor impacts on the Level 1.7 data...\",\"Release Date\":\"07/22/1998\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_IMAGES_LTOD\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Local-Time-of-Day Browse Images of Arctic Reg
ion\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of polar-stereographic-gridded Sigma-0 retrievals over the Antarctic Polar region from SeaWinds on QuikSCAT retrievals subsetted and averaged twice daily at the local time-of-day (LTOD); local times are approximately morning (00:00 to 08:00 local) and evening (16:00 to 24:00 local). The eight hour interval at each LTOD reference of morning vs. evening corresponds to the natural boundaries of time separation within the data at polar latitudes. Hence, morning and evening are used as approximations for the LTOD reference, where the actual LTOD may vary within the respective 8 hour interval. It should be noted that these GIF images are meant for browse purposes ...\",\"Release Date\":\"03/20/2012\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_IMAGES\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Browse Images of Arctic Region\",\"Topi
c\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of polar-stereographic-gridded, daily averaged Sigma-0 retrievals over the Arctic Polar from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU. The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The GIF image files are separated according to polarization, and the averaged Sigma-0 measurements are displayed in grayscale with no color bar. Very bright areas i...\",\"Release Date\":\"11/01/2003\"},{\"Short Name\":\"ERS-2_BYU_L3_OW_SIGMA0_ENHANCED\",\"Long Name\":\"ERS-2 Gridded Level 3 Enhanced Resolution Sigma-0 from BYU\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This European Remote Sensing
(ERS) Sigma-0 dataset is generated by the Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University (BYU) and is generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at BYU. The dataset provides SIR processed Sigma-0 data from the ERS-2 C-band scatterometer, which is also known as the Active Microwave Instrument (AMI). AMI is a multimode radar operating at a frequency of 5.3 GHz (C-band), using vertically polarized antennas for both transmission and reception. The SIR technique results in an enhanced resolution image reconstruction and gridded on an equal-area grid (for non-polar regions) at 8.9...\",\"Release Date\":\"11/28/2011\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_GLOBAL_RECTANGULAR_BROWSE_MAPS_LITE\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Global Rectangular Browse Maps (Reduced)\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains global, rectangular-gridded, daily a
veraged Sigma-0 retrievals from SeaWinds on QuikSCAT retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are separated according to polarization. For example, one SIR file for a particular day will contain the globally gridded avera...\",\"Release Date\":\"03/19/2001\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_GLOBAL_RECTANGULAR_BROWSE_IMAGES\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Global Rectangular Browse Images\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of global, rectangular-gridded, daily averaged Sigma-0 retrieva
ls from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU). The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The GIF image files are separated according to polarization, and the averaged Sigma-0 measurements are displayed in grayscale with no color bar. Very bright areas indicate high Sigma-0 ...\",\"Release Date\":\"11/01/2003\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_MAPS_LITE\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Browse Maps (Reduced) of Arctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset polar-stereographic-gridded, daily averaged Sigma-0 retrievals over the Arctic Polar
region from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are separated according to polarization. For example, one SIR file for a particular day will contain the gridde...\",\"Release Date\":\"11/01/2003\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_GLOBAL_RECTANGULAR_BROWSE_IMAGES\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Global Rectangular Browse Images\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of global, rectangular-gridded, daily averaged Sigma-0 retrievals from SeaWinds on QuikSCAT retrievals, w
hich are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU). The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The GIF image files are separated according to polarization, and the averaged Sigma-0 measurements are displayed in grayscale with no color bar. Very bright areas indicate high Sigm...\",\"Release Date\":\"03/19/2001\"},{\"Short Name\":\"QUIKSCAT_BYU_L3_OW_SIGMA0_ENHANCED\",\"Long Name\":\"SeaWinds on QuikSCAT Enhanced Resolution Regionally Gridded Sigma-0 (BYU, D. Long)\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains enhanced resolution gridded fields of the normalized radar cross-section (sigma-0) made from the SeaWinds on QuikSCAT L1B dataset using two different forms of the si
ngle-variate Scatterometer Image Reconstruction (SIR) algorithm: 1) for \u0027egg\u0027 sigma-0 measurements and 2) for \u0027slice\u0027 sigma-0 measurements, where the SIR with filtering (SIRF) algorithm is used. For \u0027egg\u0027 measurements, the full antenna/processing spatial response is used while a simplified spatial response function in which the spatial response is assumed to be 1 over the footprint and 0 elsewhere is used for \u0027slice\u0027 measurements. The SIR algorithm with \u0027eggs\u0027 makes images of sigma-0 at the measurement inci...\",\"Release Date\":\"11/02/2011\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ANTARCTICA_POLAR-STEREOGRAPHIC_BROWSE_MAPS_FULL\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Browse Maps (Complete) of Antarctica\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded Sigma-0 retrieval statistics over the Antarctic Polar region from the QuikSCAT L1B retrie
vals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The QuikSCAT scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are all contained within a single tar file for a given day. When the tar file is unpacked, the individual...\",\"Release Date\":\"03/19/2001\"},{\"Short Name\":\"WENTZ_SASS_SIGMA0_L2\",\"Long Name\":\"SEASAT SCATTEROMETER BINNED 50KM SIGMA-0 DATA (Wentz)\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"Contains Seasat-A Scatterometer (SASS) Sigma-0 measurements for the entire Seasat mission, from July 1978 until October 1978, produced by Frank Wentz at Remote Sensing Systems. The data are presented chronologically by swath and co
nsist of the forward and aft values, binned in 50 km cells. For each cell there are 17 parameters including time, location, incidence angle, sigma-0, instrument corrections, and data quality...\",\"Release Date\":\"12/03/1996\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ANTARCTICA_POLAR-STEREOGRAPHIC_BROWSE_MAPS_LTOD\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Local-Time-of-Day Browse Maps of Antarctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded Sigma-0 retrievals over the Anarctic Polar region from SeaWinds on QuikSCAT retrievals subsetted and averaged twice daily at the local time-of-day (LTOD); local times are approximately morning (04:00 to 12:00 local) and afternoon (12:00 to 20:00 local). The eight hour interval at each LTOD reference of morning vs. afternoon corresponds to the natural boundaries of time separation within the data at polar latitudes. Hence, morning and afternoon
are used as approximations for the LTOD reference, where the actual LTOD may vary within the respective 8 hour interval. This dataset is generated using a Scatterometer Image Reconstruction (SIR) techn...\",\"Release Date\":\"03/20/2012\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_MAPS_LTOD\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Local-Time-of-Day Browse Maps of Arctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded Sigma-0 retrievals over the Arctic Polar region from SeaWinds on QuikSCAT retrievals subsetted and averaged twice daily at the local time-of-day (LTOD); local times are approximately morning (00:00 to 08:00 local) and evening (16:00 to 24:00 local). The eight hour interval at each LTOD reference of morning vs. evening corresponds to the natural boundaries of time separation within the data at polar latitudes. Hence, morning and evening are
used as approximations for the LTOD reference, where the actual LTOD may vary within the respective 8 hour interval. This dataset is generated using a Scatterometer Image Reconstruction (SIR) technique dev...\",\"Release Date\":\"03/20/2012\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ANTARCTICA_POLAR-STEREOGRAPHIC_BROWSE_IMAGES_LTOD\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Local-Time-of-Day Browse Images of Antarctica\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of polar-stereographic-gridded Sigma-0 retrievals over the Antarctic Polar region from SeaWinds on QuikSCAT retrievals subsetted and averaged twice daily at the local time-of-day (LTOD); local times are approximately morning (04:00 to 12:00 local) and afternoon (12:00 to 20:00 local). The eight hour interval at each LTOD reference of morning vs. afternoon corresponds to the natural boundaries of time separation within the data at polar latitudes. H
ence, morning and afternoon are used as approximations for the LTOD reference, where the actual LTOD may vary within the respective 8 hour interval. It should be noted that these GIF images are meant for browse pur...\",\"Release Date\":\"03/20/2012\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ANTARCTICA_POLAR-STEREOGRAPHIC_BROWSE_IMAGES\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Browse Images of Antarctica\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of polar-stereographic-gridded, daily averaged Sigma-0 retrievals over the Antarctic Polar from the QuikSCAT L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU). The QuikSCAT scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while
the outer beam is vertically polarized. The GIF image files are separated according to polarization, and the averaged Sigma-0 measurements are displayed in grayscale with no color bar. Very bright are...\",\"Release Date\":\"03/19/2001\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_IMAGES_LTOD\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Local-Time-of-Day Browse Images of Arctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of polar-stereographic-gridded Sigma-0 retrievals over the Arctic Polar region from SeaWinds on ADEOS-II retrievals subsetted and averaged twice daily at the local time-of-day (LTOD); local times are approximately mid-day (08:00 to 16:00 local) and evening (16:00 to 24:00 local). The eight hour interval at each LTOD reference of mid-day vs. evening corresponds to the natural boundaries of time separation within the data at polar latitudes. Hence, mid-
day and evening are used as approximations for the LTOD reference, where the actual LTOD may vary within the respective 8 hour interval. It should be noted that these GIF images are meant for browse purposes onl...\",\"Release Date\":\"03/20/2012\"},{\"Short Name\":\"OSTIA-UKMO-L4-GLOB-v2.0\",\"Long Name\":\"GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS version 2)\",\"Topic\":\"Sea Ice Concentration, Sea Surface Temperature\",\"Abstract\":\"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 Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Geostationary Operational Environmental Satellite (GO
ES) imager, the Infrared Atmospheric Sounding Interferometer (IASI), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and in situ data from ships, drifting and moor...\",\"Release Date\":\"12/18/2012\"},{\"Short Name\":\"NSCAT_BYU_L3_OW_SIGMA0_ENHANCED\",\"Long Name\":\"NSCAT Gridded Level 3 Enhanced Resolution Sigma-0 from BYU\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This NASA Scatterometer (NSCAT) satellite Sigma-0 dataset is generated by the Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University (BYU) and is generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long. The SIR technique results in an enhanced resolution image reconstruction and gridded on an equal-area grid (for non-polar regions) at 4.45 km pixel resolution stored in SIR files; polar regions are gridded using a polar-stereographic technique. A non-enhanced version is provided at 22.25 km pixel resolution in a format known
as GRD files. All files are produced in IEEE formatted binary. All data files are separated and organ...\",\"Release Date\":\"11/27/2011\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_GLOBAL_RECTANGULAR_BROWSE_MAPS_FULL\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Global Rectangular Browse Maps (Complete)\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains global, rectangular-gridded Sigma-0 retrieval statistics from SeaWinds on QuikSCAT retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are all contained within a single tar file for a given day.
When the tar file is unpacked, the individual SIR files are separated acc...\",\"Release Date\":\"03/19/2001\"},{\"Short Name\":\"ERS-1_BYU_L3_OW_SIGMA0_ENHANCED\",\"Long Name\":\"ERS-1 Gridded Level 3 Enhanced Resolution Sigma-0 from BYU\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This European Remote Sensing (ERS) Sigma-0 dataset is generated by the Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University (BYU) and is generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at BYU. The dataset provides SIR processed Sigma-0 data from the ERS-1 C-band scatterometer, which is also known as the Active Microwave Instrument (AMI). AMI is a multimode radar operating at a frequency of 5.3 GHz (C-band), using vertically polarized antennas for both transmission and reception. The SIR technique results in an enhanced resolution image reconstruction and gridded on an equal-area grid (for non-polar regions) at 8.9...
\",\"Release Date\":\"11/28/2011\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_GLOBAL_RECTANGULAR_BROWSE_MAPS_FULL\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Global Rectangular Browse Maps (Complete)\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of global, rectangular-gridded, daily averaged Sigma-0 retrievals from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU). The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The GIF image files are separated according to polarization, and the averaged Sigma-0 measurements are displayed in grayscale with no color bar. Very bright areas indicate high Sigma-0 ...\",\"Release Date\":\"11/0
1/2003\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_ANTARCTIC_POLAR-STEREOGRAPHIC_BROWSE_IMAGES_LTOD\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Local-Time-of-Day Browse Images of Antarctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of polar-stereographic-gridded Sigma-0 retrievals over the Antarctic Polar region from SeaWinds on ADEOS-II subsetted and averaged twice daily at the local time-of-day (LTOD); local times are approximately morning (00:00 to 08:00 local) and evening (16:00 to 24:00 local). The eight hour interval at each LTOD reference of morning vs. evening corresponds to the natural boundaries of time separation within the data at polar latitudes. Hence, morning and evening are used as approximations for the LTOD reference, where the actual LTOD may vary within the respective 8 hour interval. It should be noted that these GIF images are meant for browse purposes only and sh...\",\"Rele
ase Date\":\"03/20/2012\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_MAPS_LTOD\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Local-Time-of-Day Browse Maps of Arctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded Sigma-0 retrievals over the Arctic Polar region from SeaWinds on ADEOS-II retrievals subsetted and averaged twice daily at the local time-of-day (LTOD); local times are approximately mid-day (08:00 to 16:00 local) and evening (16:00 to 24:00 local). The eight hour interval at each LTOD reference of mid-day vs. evening corresponds to the natural boundaries of time separation within the data at polar latitudes. Hence, mid-day and evening are used as approximations for the LTOD reference, where the actual LTOD may vary within the respective 8 hour interval. This dataset is generated using a Scatterometer Image Reconstruction (SIR) technique dev...\"
,\"Release Date\":\"03/20/2012\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_ANTARCTICA_POLAR-STEREOGRAPHIC_BROWSE_MAPS_LITE\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Browse Maps (Reduced) of Antarctica\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset polar-stereographic-gridded, daily averaged Sigma-0 retrievals over the Antarctic Polar region from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are separated according to polarization. For example, one SIR file for a particular day will contain the gri...\"
,\"Release Date\":\"11/01/2003\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_ENHANCED\",\"Long Name\":\"SeaWinds on ADEOS-II Enhanced Resolution Regionally Gridded Sigma-0 (BYU, D. Long)\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains enhanced resolution gridded fields of the normalized radar cross-section (sigma-0) made from the SeaWinds on ADEOS-II L1B dataset using two different forms of the single-variate Scatterometer Image Reconstruction (SIR) algorithm: 1) for \u0027egg\u0027 sigma-0 measurements and 2) for \u0027slice\u0027 sigma-0 measurements, where the SIR with filtering (SIRF) algorithm is used. For \u0027egg\u0027 measurements, the full antenna/processing spatial response is used while a simplified spatial response function in which the spatial response is assumed to be 1 over the footprint and 0 elsewhere is used for \u0027slice\u0027 measurements. The SIR algorithm with \u0027eggs\u0027 makes images of sigma-0 at the measurement inci...\
",\"Release Date\":\"11/02/2011\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_MAPS_FULL\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Browse Maps (Complete) of Arctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded Sigma-0 retrieval statistics over the Arctic Polar region from the QuikSCAT L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The QuikSCAT scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are all contained within a single tar file for a given day. When the tar file is unpacked, the individual SI...\",\
"Release Date\":\"03/19/2001\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_MAPS_LITE\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Browse Maps (Reduced) of Arctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded, daily averaged Sigma-0 retrievals over the Arctic Polar region from the QuikSCAT L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The QuikSCAT scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are separated according to polarization. For example, one SIR file for a particular day will contain t...\",\"Rel
ease Date\":\"03/19/2001\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_IMAGES\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Browse Images of Arctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of polar-stereographic-gridded, daily averaged Sigma-0 retrievals over the Arctic Polar from the QuikSCAT L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU). The QuikSCAT scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The GIF image files are separated according to polarization, and the averaged Sigma-0 measurements are displayed in grayscale with no color bar. Very bright areas ...\",\"Release Date\":\"0
3/19/2001\"},{\"Short Name\":\"QSCAT_BYU_L3_OW_SIGMA0_ANTARCTICA_POLAR-STEREOGRAPHIC_BROWSE_MAPS_LITE\",\"Long Name\":\"SeaWinds on QuikSCAT Level 3 Sigma-0 Polar-Stereographic Browse Maps (Reduced) of Antarctica\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded, daily averaged Sigma-0 retrievals over the Antarctic Polar region from the QuikSCAT L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The QuikSCAT scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are separated according to polarization. For example, one SIR file for a particular day will contai...\",\"Release Date\":\"03/1
9/2001\"},{\"Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_GLOBAL_RECTANGULAR_BROWSE_MAPS_LITE\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Global Rectangular Browse Maps (Reduced)\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains global, rectangular-gridded, daily averaged Sigma-0 retrievals from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are separated according to polarization. For example, one SIR file for a particular day will contain the globally gridded average S...\",\"Release Date\":\"11/01/2003\"},{\"Short Name\":\
"SEAWINDS_BYU_L3_OW_SIGMA0_ANTARCTICA_POLAR-STEREOGRAPHIC_BROWSE_MAPS_FULL\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Browse Maps (Complete) of Antarctica\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded Sigma-0 retrieval statistics over the Antarctic Polar region from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are all contained within a single tar file for a given day. When the tar file is unpacked, the individual...\",\"Release Date\":\"11/01/2003\"},{\"Short Name\":
\"SEAWINDS_BYU_L3_OW_SIGMA0_ARCTIC_POLAR-STEREOGRAPHIC_BROWSE_MAPS_FULL\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Browse Maps (Complete) of Arctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded Sigma-0 retrieval statistics over the Arctic Polar region from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU); the processed files are therefore known as SIR files. The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The SIR files are all contained within a single tar file for a given day. When the tar file is unpacked, the individual SI...\",\"Release Date\":\"11/01/2003\"},{\"Short Name\":
\"SEAWINDS_BYU_L3_OW_SIGMA0_ANTARCTIC_POLAR-STEREOGRAPHIC_BROWSE_MAPS_LTOD\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Local-Time-of-Day Browse Maps of Antarctic Region\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains polar-stereographic-gridded Sigma-0 retrievals over the Antarctic Polar region from SeaWinds on ADEOS-II retrievals subsetted and averaged twice daily at the local time-of-day (LTOD); local times are approximately morning (00:00 to 08:00 local) and evening (16:00 to 24:00 local). The eight hour interval at each LTOD reference of morning vs. evening corresponds to the natural boundaries of time separation within the data at polar latitudes. Hence, morning and evening are used as approximations for the LTOD reference, where the actual LTOD may vary within the respective 8 hour interval. This dataset is generated using a Scatterometer Image Reconstruction (SIR) technique ...\",\"Release Date\":\"03/20/2012\"},{\"
Short Name\":\"SEAWINDS_BYU_L3_OW_SIGMA0_ANTARCTICA_POLAR-STEREOGRAPHIC_BROWSE_IMAGES\",\"Long Name\":\"SeaWinds on ADEOS-II Level 3 Sigma-0 Polar-Stereographic Browse Images of Antarctica\",\"Topic\":\"Sigma Naught, Ice Extent\",\"Abstract\":\"This dataset contains GIF images of polar-stereographic-gridded, daily averaged Sigma-0 retrievals over the Antarctic Polar from the SeaWinds L1B retrievals, which are generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University (BYU). The SeaWinds scatterometer scans at two nominal incidence angles, 46 degrees and 54.1 degrees, corresponding to the inner and outer beams respectively. The inner beam is horizontally polarized while the outer beam is vertically polarized. The GIF image files are separated according to polarization, and the averaged Sigma-0 measurements are displayed in grayscale with no color bar. Very bright are...\",\"Release Date\":\"11/02/2003\"},{\"Short Name\
":\"SEASAT_BYU_L3_OW_SIGMA0_ENHANCED\",\"Long Name\":\"SEASAT-A Scatterometer Level 3 Sigma-0 at Enhanced Resolution (BYU)\",\"Topic\":\"Ice Extent, Sigma Naught\",\"Abstract\":\"This SEASAT-A Scatterometer (SASS) Sigma-0 dataset is generated by the Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University (BYU) and is generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long. This dataset is derived from the SASS Geophysical Data Record (GDR). The SIR technique results in an enhanced resolution image reconstruction and gridded on an equal-area grid (for non-polar regions) at 4.45 km pixel resolution stored in SIR files; polar regions are gridded using a polar-stereographic technique. A non-enhanced version is provided at 22.25 km pixel resolution in a format known as GRD files. All files are produced in...\",\"Release Date\":\"04/22/2002\"},{\"Short Name\":\"NSCAT_25KM_MGDR_V2\",\"Long Name\":\"NSCAT High-Resolution MGD
R, Sigma-0 and Ocean Wind Vectors (Dunbar)\",\"Topic\":\"Sigma Naught, Surface Winds, Ice Extent\",\"Abstract\":\"The NASA Scatterometer (NSCAT) Level 2.5 high-resolution merged ocean wind vectors and sigma-0 in 25 km wind vector cell (WVC) swaths contain daily data from ascending and descending passes. Wind vectors are accurate to within 2 m/s (vector speed) and 20 degrees (vector direction). Wind vectors are not considered valid in rain contaminated regions; rain flags and precipitation information are not provided. Data is flagged where measurements are either missing or ambiguous. In the presence of land or sea ice winds values are set to 0, and sigma-0 values are preserved where measurements are available. This is the most up-to-date version, which designates the final phase of calibration, valida...\",\"Release Date\":\"02/19/2006\"},{\"Short Name\":\"RECON_SEA_LEVEL_OST_L4_V1\",\"Long Name\":\"Reconstructed Sea Level Version 1\",\"Topic\":\"Sea Surface Height\",\"Abstract\":\
"The Reconstructed Sea Level dataset contains sea level anomalies derived from satellite altimetry and tide gauges. The satellite altimetric record provides accurate measurements of sea level with near-global coverage, but it has a relatively short time span, since 1993. Tide gauges have measured sea level over the last 200 years, with some records extending back to 1807, but they only provide regional coverage, not global. Combining satellite altimetry with tide gauges, using a technique known as sea level reconstruction, results in a dataset with the record length of the tide gauges and the near-global coverage of satellite altimetry. Cyclostationary empirical orthogonal functions (CSEO...\",\"Release Date\":\"06/10/2013\"},{\"Short Name\":\"TELLUS_GRACE_MASCON_CRI_GRID_RL05_V2\",\"Long Name\":\"JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent Water Height RL05M.1 CRI Filtered Version 2\",\"Topic\":\"Gravity\",\"Abstract\":\"This dataset represents Version 2 of the JPL GRA
CE Mascon Equivalent Water Height RL05M.1, providing global water storage anomalies relative to a time-mean of monthly mass grids as derived from GRACE. These data are provided in a single data file in netCDF format and is applicable for ocean, ice, and hydrology. This version of the data employs a Coastal Resolution Improvement (CRI) filter that reduces leakage errors across coastlines. The storage anomalies are given in equivalent water thickness units (cm). The solution provided here is derived from solving for monthly gravity field variations in terms of spherical cap mass concentration functions, rather than spherical harmonic coefficien...\",\"Release Date\":\"04/28/2016\"},{\"Short Name\":\"TELLUS_GRACE_MASCON_GRID_RL05_V2\",\"Long Name\":\"JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent Water Height JPL RL05M.1 Version 2\",\"Topic\":\"Gravity\",\"Abstract\":\"This dataset represents Version 2 of the JPL GRACE Mascon Equivalent Water Height RL05M.1, providing global wa
ter storage anomalies relative to a time-mean of monthly mass grids as derived from GRACE. These data are provided in a single data file in netCDF format and is applicable for ocean, ice, and hydrology. It should be noted that this dataset does not correct for leakage errors across coastlines; it is therefore recommended only for users who want to apply their own algorithm to separate between land and ocean mass very near coastlines. The storage anomalies are given in equivalent water thickness units (cm). The solution provided here is derived from solving for monthly gravity field ...\",\"Release Date\":\"04/28/2016\"},{\"Short Name\":\"MERGED_TP_J1_OSTM_OST_GMSL_ASCII_V3\",\"Long Name\":\"Global Mean Sea Level Trend from Integrated Multi-Mission Ocean Altimeters TOPEX/Poseidon Jason-1 and OSTM/Jason-2 Version 3\",\"Topic\":\"Sea Surface Height\",\"Abstract\":\"This dataset contains the Global Mean Sea Level (GMSL) trend generated from the Integrated Multi-Mission Ocean Altimeter D
ata for Climate Research ( http://podaac.jpl.nasa.gov/dataset/MERGED_TP_J1_OSTM_OST_ALL_V3 ). The GMSL is a 1-dimensional time series of globally averaged Sea Surface Height Anomalies (SSHA) from TOPEX/Poseidon, Jason-1 and OSTM/Jason-2. It starts in September 1992 to present, with a lag of up to 4 months. All biases and cross-calibrations have been applied to the data so SSHA are consistent between satellites. Glacial Isostatic Adjustment (GIA) has not been applied, but it has been smoothed with a 60 day filter. These data are available in ASCII format...\",\"Release Date\":\"10/27/2015\"},{\"Short Name\":\"AVISO_L4_DYN_TOPO_1DEG_1MO\",\"Long Name\":\"AVISO Level 4 Absolute Dynamic Topography for Climate Model Comparison\",\"Topic\":\"Sea Surface Height\",\"Abstract\":\"This dataset contains absolute dynamic topography (similar to sea level but with respect to the geoid) binned and averaged monthly on 1 degree grids. The coverage is from October 1992 to December 2010. These
data were provided by AVISO (French space agency data provider) to support the CMIP5 (Coupled Model Intercomparison Project Phase 5) under the World Climate Research Program (WCRP) and was first made available via the JPL Earth System Grid. The dynamic topography are derived from sea surface height measured by several satellites including Envisat, TOPEX/Poseidon, Jason-1 and OSTM/Jason-2, and referenced to the geoid. Along with this dataset, two additional ancillary data files are i...\",\"Release Date\":\"02/28/2011\"},{\"Short Name\":\"PODAAC_MGDR\",\"Long Name\":\"TOPEX/POSEIDON ALTIMETER MERGED GEOPHYSICAL DATA RECORD GENERATION B\",\"Topic\":\"Sea Surface Height, Significant Wave Height\",\"Abstract\":\"The TOPEX/POSEIDON MGDR (Merged Geophysical Data Record) contains global coverage altimeter data. This data set (MGDR-B) contains generation B data which replaces the generation A data set. The objective of the TOPEX/POSEIDON mission, launched in August 1992 and currently oper
ating, is to determine ocean topography with a sea surface height measurement precision of 3 cm and a sea level measurement accuracy of 13 cm. The data product combines measurements from two altimeters, a NASA dual frequency (Ku and C band) instrument similar to the Geosat altimeter, and a French (CNES) instrument which is a proof-of-concept solid-state altimeter (Ku band). This data set contains mean sea surface, iono...\",\"Release Date\":\"04/20/1998\"},{\"Short Name\":\"OSTM_L2_OGDR_SSHA\",\"Long Name\":\"OSTM/JASON-2 OPERATIONAL GEOPHYSICAL DATA RECORD SEA SURFACE HEIGHT ANOMALIES\",\"Topic\":\"Significant Wave Height, Sea Surface Height\",\"Abstract\":\"The Operational Geophysical Data Records (OGDR) files from the Ocean Surface Topography Mission (OSTM)/Jason-2 contain altimeter data, with a precision orbit of 10 cm accuracy, provided approximately 3-5 hours after data collection. The instruments on OSTM make direct observations of the following quantities: altimeter range, s
ignificant wave height, ocean radar backscatter cross-section (a measure of wind speed), ionospheric electron content (derived by a simple formula), tropospheric water content, mean sea surface, Sea Surface Height Anomalies (SSHA), and position relative to the GPS satellite constellation. This dataset does contains less parameters than those found in the regular OGDR...\",\"Release Date\":\"11/24/2009\"},{\"Short Name\":\"OSTM_L2_GDR_D\",\"Long Name\":\"OSTM/JASON-2 GEOPHYSICAL DATA RECORD VERSION D\",\"Topic\":\"Significant Wave Height, Sea Surface Height\",\"Abstract\":\"The Geophysical Data Records (GDR) files from the Ocean Surface Topography Mission (OSTM)/Jason-2 contain full accuracy altimeter data, with a high precision orbit (accuracy 1.5 cm), provided approximately 35 days after data collection. The instruments on OSTM make direct observations of the following quantities: altimeter range, significant wave height, ocean radar backscatter cross-section (a measure of wind sp
eed), ionospheric electron content (derived by a simple formula), tropospheric water content, mean sea surface, Sea Surface Height Anomalies (SSHA), and position relative to the GPS satellite constellation. These data are distributed by NOAA NODC (National Ocean Data Center)...\",\"Release Date\":\"07/17/2012\"},{\"Short Name\":\"OSTM_L2_SGDR_D\",\"Long Name\":\"OSTM/JASON-2 SENSOR GEOPHYSICAL DATA RECORD VERSION D\",\"Topic\":\"Significant Wave Height, Sea Surface Height\",\"Abstract\":\"FOR EXPERT USE ONLY. The Sensor Geophysical Data Records (SGDR) files from the Ocean Surface Topography Mission (OSTM)/Jason-2 contain full accuracy altimeter data, with a high precision orbit (accuracy 1.5 cm), provided approximately 35 days after data collection. The instruments on OSTM make direct observations of the following quantities: altimeter range, significant wave height, ocean radar backscatter cross-section (a measure of wind speed), ionospheric electron content (derived by a simple
formula), tropospheric water content, mean sea surface, Sea Surface Height Anomalies (SSHA), and position relative to the GPS satellite constellation. Most importantly the SGDR contains waveforms,...\",\"Release Date\":\"07/17/2012\"},{\"Short Name\":\"OSTM_L2_GDR_SSHA_D\",\"Long Name\":\"OSTM/JASON-2 GEOPHYSICAL DATA RECORD SEA SURFACE HEIGHT ANOMALIES VERSION D\",\"Topic\":\"Significant Wave Height, Sea Surface Height\",\"Abstract\":\"The Geophysical Data Records (GDR) Sea Sufrace Height Anomaly (SSHA) files from the Ocean Surface Topography Mission (OSTM)/Jason-2 contain full accuracy altimeter data and SSHA, with a high precision orbit (accuracy 1.5 cm), provided approximately 35 days after data collection. The instruments on OSTM make direct observations of the following quantities: altimeter range, significant wave height, ocean radar backscatter cross-section (a measure of wind speed), ionospheric electron content (derived by a simple formula), tropospheric water content, me
an sea surface, Sea Surface Height Anomalies (SSHA), and position relative to the GPS satellite constellation. These data contain less paramete...\",\"Release Date\":\"07/17/2012\"},{\"Short Name\":\"OSTM_L2_IGDR_SSHA\",\"Long Name\":\"OSTM/JASON-2 INTERIM GEOPHYSICAL DATA RECORD SEA SURFACE HEIGHT ANOMALIES\",\"Topic\":\"Significant Wave Height, Sea Surface Height\",\"Abstract\":\"The Interim Geophysical Data Records (IGDR) files from the Ocean Surface Topography Mission (OSTM)/Jason-2 contain altimeter data, with a precision orbit of 2.5 cm accuracy, provided approximately 1-2 days after data collection. The instruments on OSTM make direct observations of the following quantities: altimeter range, significant wave height, ocean radar backscatter cross-section (a measure of wind speed), ionospheric electron content (derived by a simple formula), tropospheric water content, mean sea surface, Sea Surface Height Anomalies (SSHA), and position relative to the GPS satellite constellati
on. This dataset does contains less parameters than those found in the regular IGDR. T...\",\"Release Date\":\"11/24/2009\"},{\"Short Name\":\"OISST_HR_NRT-GOS-L4-BLK-v2.0\",\"Long Name\":\"Black Sea High Resolution SST L4 Analysis 0.0625 deg Resolution\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea...\",\"Release Date\":\"05/30/2016\"},{\"Short Name\":\"OISST_HR_NRT-GOS-L4-MED-v2.0\",\"Long Name\":\"Mediterranean Sea High Resolution SST L4 Analysis 1/16deg Resolution\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625deg. x 0.0625deg. horizontal resolution over
the Mediterranean Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Mediterranean sea...\",\"Release Date\":\"05/30/2016\"},{\"Short Name\":\"MERGED_TP_J1_OSTM_OST_ALL_V3\",\"Long Name\":\"Integrated Multi-Mission Ocean Altimeter Data for Climate Research complete time series Version 3\",\"Topic\":\"Sea Surface Height\",\"Abstract\":\"This dataset contains along track geo-referenced Sea Surface Height Anomalies (SSHA) from TOPEX/Poseidon, Jason-1 and OSTM/Jason-2 (depending on time period) merged onto a single mean reference orbit. All biases and cross-calibrations have been applied to the data so SSHA are consistent between satellites to form a single climate data record. Altimeter data from the multi-mission Geophysical Data Records (GDRs) are interpolated to a common reference orbit facilitating direct time series analysis of the ge
o-referenced SSH. The data are in netCDF format . The data start at September 1992. The newest data are appended to the file quarterly...\",\"Release Date\":\"10/27/2015\"},{\"Short Name\":\"DMI-L4UHfnd-NSEABALTIC-DMI_OI\",\"Long Name\":\"GHRSST Level 4 DMI_OI North Sea and Baltic Sea Regional Foundation Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis by the Danish Meteorological Institute (DMI) using an optimal interpolation (OI) approach on a regional 0.03 degree grid. The analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several satellites over the North and Baltic Seas. The sensors include the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advan
ced Microwave Scanning Radiometer-EOS (AMSRE) and the Moderate Resolution Imaging Spectroradiometer...\",\"Release Date\":\"09/07/2007\"},{\"Short Name\":\"MERGED_TP_J1_OSTM_OST_CYCLES_V3\",\"Long Name\":\"Integrated Multi-Mission Ocean Altimeter Data for Climate Research Version 3\",\"Topic\":\"Sea Surface Height\",\"Abstract\":\"This dataset contains along track geo-referenced Sea Surface Height Anomalies (SSHA) from TOPEX/Poseidon, Jason-1 and OSTM/Jason-2 (depending on time period) merged into a single mean reference orbit. All biases and cross-calibrations have been applied to the data so SSHA are consistent between satellites to form a single climate data record. Altimeter data from the multi-mission Geophysical Data Records (GDRs) are interpolated to a common reference orbit facilitating direct time series analysis of the geo-referenced SSH. The data are in netCDF format. Each file consists of one cycle of data, which is approximately 10 days long. Cycle 001 coincides wit
h cycle 001 of TOPEX/Poseidon (Sept...\",\"Release Date\":\"10/27/2015\"},{\"Short Name\":\"OISST_UHR_NRT-GOS-L4-BLK-v2.0\",\"Long Name\":\"Black Sea Ultra High Resolution SST L4 Analysis 0.01 deg Resolution\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.01 deg. x 0.01 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea...\",\"Release Date\":\"06/02/2016\"},{\"Short Name\":\"EUR-L4HRfnd-GLOB-ODYSSEA\",\"Long Name\":\"GHRSST Level 4 ODYSSEA Global Foundation Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) u
sing optimal interpolation (OI) on a global 0.1 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 10km resolution (0.1 degree) over the full globe. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from 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 Radiome...\",\"Release Date\":\"09/18/2007\"},{\"Short Name\":\"EUR-L2P-NAR18_SST\",\"Long Name\":\"GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for HIgh Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on th
e NOAA-18 platform (launched on 20 May 2005). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France.\\r\\n\\r\\nThe AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 197...\",\"Release Date\":\"12/01/2004\"},{\"Short Name\":\"EUR-L2P-NAR17_SST\",\"Long Name\":\"GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (A
VHRR) on the NOAA-17 platform (launched on \\r\\n24 Jun 2002). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France.\\r\\n\\r\\nThe AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 19...\",\"Release Date\":\"12/01/2004\"},{\"Short Name\":\"EUR-L3P-NAR_AVHRR_NOAA_19\",\"Long Name\":\"GHRSST Level 3P North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-19\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for HIgh Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Rad
iometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR ...\",\"Release Date\":\"08/07/2008\"},{\"Short Name\":\"ABOM-L4LRfnd-GLOB-GAMSSA_28km\",\"Long Name\":\"GHRSST Level 4 GAMSSA Global Foundation Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Australian Bureau of Meteorology using optimal interpolation (OI
) on a global 0.25 degree grid. This BLUELink Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends satellite SST observations from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), and, the Advanced Microwave Scanning Radiometer-EOS (AMSRE), and in situ data from ships, and drifting and moored buoy from the Global Telecommunications System (GTS). In order to produce a foundation SST estimate, the AATSR skin...\",\"Release Date\":\"07/27/2008\"},{\"Short Name\":\"JPL-L4UHfnd-GLOB-MUR\",\"Long Name\":\"GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"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 degre
e 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 th...\",\"Release Date\":\"05/26/2010\"},{\"Short Name\":\"NCDC-L4LRblend-GLOB-AVHRR_OI\",\"Long Name\":\"GHRSST Level 4 AVHRR_OI Global Blended Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.25 degree grid at the NOAA National Climatic Data Center. This product uses optimal interpolation (OI) using data from the 4 km Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5 time series (when available
, otherwise operational NOAA AVHRR data are used) and in situ ship and buoy observations. A second similar product is available that also includes Advanced Microwave Scanning Radiometer-EOS (AMSR-E) data from June 2002 onward. The OI analysis is a daily average SST that is bias adjusted using a spatially smoothed 7-day in situ SST average an...\",\"Release Date\":\"04/07/2007\"},{\"Short Name\":\"JPL-L4UHfnd-NCAMERICA-MUR\",\"Long Name\":\"GHRSST Level 4 MUR North America Regional Foundation Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). The Multiscale Ultrahigh Resolution (MUR) L4 analysis is based
upon nighttime GHRSST L2P skin and subskin SST observations from several instruments such as: the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), and the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms. The ice concentration data are f...\",\"Release Date\":\"05/27/2010\"},{\"Short Name\":\"JPL-L4UHblend-NCAMERICA-RTO_SST_Tn\",\"Long Name\":\"GHRSST Level 4 RTO Terra MODIS-AMSRE Night North America Regional Blended Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Mod
erate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, an...\",\"Release Date\":\"09/23/2010\"},{\"Short Name\":\"Geo_Polar_Blended-OSPO-L4-GLOB-v1.0\",\"Long Name\":\"GHRSST Level 4 OSPO Global Foundation Sea Surface Temperature Analysis (GDS version 2)\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Office of Satellite and Product Operations (OSPO) using optimal interpolation (OI) on a global 0.054 degree grid. \\r\\nThe Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea surface temperature into a single analysis of SST. This analysis uses both daytime and nighttime data from sens
ors that include the Advanced Very High Resolution Radiometer (AVHRR), the Visible Infrared Imager Radiometer Suite (VIIRS), the Geostationary Operational Environmental Satellite (GOES) imager, the Japanese Advanced Mete...\",\"Release Date\":\"03/10/2015\"},{\"Short Name\":\"CMC0.1deg-CMC-L4-GLOB-v3.0\",\"Long Name\":\"GHRSST Level 4 CMC0.1deg Global Foundation Sea Surface Temperature Analysis (GDS version 2)\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis at the Canadian Meteorological Center. This dataset merges infrared satellite SST at varying points in the time series from the Advanced Very High Resolution Radiometer (AVHRR) from NOAA-18,19, the European Meteorological Operational-A (METOP-A) and Operational-B (METOP-B), and microwave data from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W satellite
in conjunction with in situ observations of SST from drifting buoys and ships from the ICOADS program. It uses the previous days analysis as the background field for the s...\",\"Release Date\":\"07/28/2016\"},{\"Short Name\":\"OISST_UHR_NRT-GOS-L4-MED-v2.0\",\"Long Name\":\"Mediterranean Sea Ultra High Resolution SST L4 Analysis 0.01 deg Resolution\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.01 deg. x 0.01deg. horizontal resolution over the Mediterranean \\r\\nSea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Mediterranean sea...\",\"Release Date\":\"05/30/2016\"},{\"Short Name\":\"NCDC-L4LRblend-GLOB-AVHRR_AMSR_OI\",\"Long Name\":\"GHRSST Level 4 AVHRR_AMSR_OI Global Blended Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstra
ct\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.25 degree grid at the NOAA National Climatic Data Center. This product uses optimal interpolation (OI) using data from the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5 time series (when available, otherwise operational NOAA AVHRR data are used), the Advanced Microwave Scanning Radiometer-EOS (AMSR-E), and in situ ship and buoy observations. A second similar product is available back to 1981 that includes only in situ and AVHRR Pathfinder data in its analysis. The OI analysis is a daily average SST that is bias adjusted using a spatiall...\",\"Release Date\":\"04/06/2007\"},{\"Short Name\":\"EUR-L3P-NAR_AVHRR_METOP_A\",\"Long Name\":\"GHRSST Level 3P North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite\",\"Topic\":\"Sea Surface Temperatu
re\",\"Abstract\":\"A Group for HIgh Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A platform (launched on 19 Oct 2006). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AV...\",\"Release Date\":\"08/07/2008\"},{\"Short Name\":\"AVHRR_SST_METOP_A_NAR-OSISAF-L3C-v1.0\",\"Long Name\":\"GHRSST Level 3C North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on MetOp-A (GDS2 version)\",\"Top
ic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) platform (launched 19 Oct 2006). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observati...\",\"Release Date\":\"02/01/2015\"},{\"Short Name\":\"EUR-L2P-AVHRR16_G\",\"Long Name\":\"GHRSST Level 2P Global Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite\",\"Topic\":\"Sea Surf
ace Temperature\",\"Abstract\":\"A global Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) ...\",\"Release Date\":\"12/09/2004\"},{\"Short Name\":\"EUR-L2P-AVHRR17_L\",\"Long Name\":\"GHRSST Level 2P Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite\",\"Topic\":\"Sea Surface
Temperature\",\"Abstract\":\"A regional Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Atlantic Ocean and nearby regions based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two ...\",\"Release Date\":\"12/07/2004\"},{\"Short Name\":\"EUR-L2P-AVHRR16_L\",\"Long Name\":\"GHRSST Level 2P Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite\",\"Topic\":\"Sea Surface Temp
erature\",\"Abstract\":\"A regional Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Atlantic Ocean and nearby regions based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two...\",\"Release Date\":\"12/09/2004\"},{\"Short Name\":\"NAVO-L2P-AVHRRMTA_G\",\"Long Name\":\"GHRSST Level 2P Global Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite produced by NAVO\",\"Topic\":\"Sea Surface
Temperature\",\"Abstract\":\"A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A; launched 19 Oct 2006) ) satellite produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European undertaking providing weather data services for monitoring climate and improving weather forecasts. It was jointly established by the European Space Agency (ESA) and the European Organisation for the Exploitation of Met...\",\"Release Date\":\"09/25/2007\"},{\"Short Name\":\"AVHRRMTB_G-NAVO-L2P-v1.0\",\"Long Name\":\"GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-B satellite produced by NAVO\",\"Topic\":\"Sea S
urface Temperature\",\"Abstract\":\"A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A; launched 19 Oct 2006) ) satellite produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European undertaking providing weather data services for monitoring climate and improving weather forecasts. It was jointly established by the European Space Agency (ESA) and the European Organisation for the Exploitation of Met...\",\"Release Date\":\"10/26/2014\"},{\"Short Name\":\"NAVO-L2P-AVHRR17_L\",\"Long Name\":\"GHRSST Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NAVO\",\"Topic\":\"Sea Surfa
ce Temperature\",\"Abstract\":\"A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched 24 June 2002) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instrumen...\",\"Release Date\":\"12/21/2005\"},{\"Short Name\":\"OSTM_L2_IGDR\",\"Long Name\":\"OSTM/JASON-2 INTERIM GEOPHYSICAL DATA RECORD\",\"Topic\":\"Significant Wave Height, Sea Surface Height\",\"Abstract\":\"The Interim Geophysical Data Records (IGDR) files from the
Ocean Surface Topography Mission (OSTM)/Jason-2 contain altimeter data, with a precision orbit of 2.5 cm accuracy, provided approximately 1-2 days after data collection. The instruments on OSTM make direct observations of the following quantities: altimeter range, significant wave height, ocean radar backscatter cross-section (a measure of wind speed), ionospheric electron content (derived by a simple formula), tropospheric water content, mean sea surface, Sea Surface Height Anomalies (SSHA), and position relative to the GPS satellite constellation. These data are distributed by NOAA NODC (National Ocean Data Center)...\",\"Release Date\":\"11/24/2009\"},{\"Short Name\":\"OSTM_L2_OGDR\",\"Long Name\":\"OSTM/JASON-2 OPERATIONAL GEOPHYSICAL DATA RECORD\",\"Topic\":\"Significant Wave Height, Sea Surface Height\",\"Abstract\":\"The Operational Geophysical Data Records (OGDR) files from the Ocean Surface Topography Mission (OSTM)/Jason-2 contain altimeter data, with a precision orbit o
f 10 cm accuracy, provided approximately 3-5 hours after data collection. The instruments on OSTM make direct observations of the following quantities: altimeter range, significant wave height, ocean radar backscatter cross-section (a measure of wind speed), ionospheric electron content (derived by a simple formula), tropospheric water content, mean sea surface, Sea Surface Height Anomalies (SSHA), and position relative to the GPS satellite constellation. These data are distributed by NOAA NODC (National Ocean Data Center)...\",\"Release Date\":\"11/24/2009\"},{\"Short Name\":\"EUR-L3P-GLOB_AVHRR_METOP_A\",\"Long Name\":\"GHRSST Level 3P Global Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A global Level 3 Group for HIgh Resolution Sea Surface Temperature (GHRSST) dataset from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A platform (launc
hed on 19 Oct 2006). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments meas...\",\"Release Date\":\"08/08/2008\"},{\"Short Name\":\"JPL-L4UHblend-NCAMERICA-RTO_SST_Td\",\"Long Name\":\"GHRSST Level 4 RTO Terra MODIS-AMSRE Day North America Regional Blended Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted average
s on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and...\",\"Release Date\":\"09/23/2010\"},{\"Short Name\":\"NAVO-L4HR1m-GLOB-K10_SST\",\"Long Name\":\"GHRSST Level 4 K10_SST Global 1 meter Sea Surface Temperature Analysis\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Naval Oceanographic Office (NAVOCEANO) on a global 0.1 degree grid. The K10 L4 sea surface temperature analysis uses SST obse
rvations from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Microwave Scanning Radiometer for EOS (AMSR-E), and the Geostationary Operational Environmental Satellite (GOES) Imager. The age, reliability, and resolution of the data are used in the weighted average with the analysis tuned to represent SST at 1 meter depth. AVHRR Pathfinder 9km climatology is used when no new satellite SST retrievals are a...\",\"Release Date\":\"03/10/2008\"},{\"Short Name\":\"CMC0.2deg-CMC-L4-GLOB-v2.0\",\"Long Name\":\"GHRSST Level 4 CMC0.2deg Global Foundation Sea Surface Temperature Analysis (GDS version 2)\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis at the Canadian Meteorological Center. This dataset merges infrared satellite SST at varying points in the time series from the (A)TSR series of radiometers from ERS-1, ERS-2
and Envisat, AVHRR from NOAA-16,17,18,19 and METOP-A, and microwave data from TMI, AMSR-E and Windsat in conjunction with in situ observations of SST from drifting buoys and ships from the ICOADS program. It uses the previous days analysis as the background field for the statistical interpolation used to assimilate the satellite and in situ observations. This dataset adheres...\",\"Release Date\":\"11/18/2012\"},{\"Short Name\":\"ALT_TIDE_GAUGE_L4_OST_SLA_US_WEST_COAST\",\"Long Name\":\"Gridded Altimeter Fields with Enhanced Coastal Coverage\",\"Topic\":\"Sea Surface Height, Ocean Currents\",\"Abstract\":\"The Gridded Altimeter Fields with Enhanced Coastal Coverage data product contains Sea Surface Height Anomalies (SSHA or SLA) and zonal and meridional geostrophic velocities for the US west coast encompassing 35.25 deg-48.5 deg N latitude and 227.75 deg-248.5 deg E longitude. This annually updated data product extends from October 14, 1992 through November 4, 2009. SSHA and curre
nt velocities are derived from the AVISO quarter degree DT UPD MSLA version 3.0 grids, 0.75 deg and greater away from the coast. Values within 0.75 deg of the coast are derived from tide gauge observations and interpolated out to the altimeter filled region. Details on how these data are derived can be found in: ...\",\"Release Date\":\"09/25/2010\"},{\"Short Name\":\"VIIRS_NPP-NAVO-L2P-v1.0\",\"Long Name\":\"GHRSST Level 2P Global 1 meter Sea Surface Temperature from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite (GDS version 2)\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) satellite launched on 28 October 2011.\\r\\nThe VIIRS instrument is a
a 22-band, multi-spectral scanning radiometer with a 3040-km swath width that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 740 meters at nadir and the pixel size variation across the swath is constrained ...\",\"Release Date\":\"04/10/2012\"},{\"Short Name\":\"OSDPD-L2P-MSG02\",\"Long Name\":\"GHRSST Level 2P Atlantic Regional Skin Sea Surface Temperature from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-2) satellite\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"The Meteosat Second Generation (MSG) satellites are spin stabilized geostationary satellites operated by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to provide accurate weather monitoring data through its primary instrument the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has t
he capacity to observe the Earth in 12 spectral channels. Eight of these channels are in the thermal infrared, providing among other information, observations of the temperatures of clouds, land and sea surfaces at approximately 5 km resolution with a 15 minute duty cycle. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset produced by th...\",\"Release Date\":\"07/27/2009\"},{\"Short Name\":\"Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0\",\"Long Name\":\"GHRSST Level 4 OSPO Global Nighttime Foundation Sea Surface Temperature Analysis (GDS version 2)\",\"Topic\":\"Sea Surface Temperature\",\"Abstract\":\"A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Office of Satellite and Product Operations (OSPO) using optimal interpolation (OI) on a global 0.054 degree grid. The Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea su
rface temperature into a single analysis of SST. This analysis includes only nighttime data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Visible Infrared
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