---
cited_by: []
datasets:
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains a value-added 5-day mean ocean surface wind and pseudostress to approximate a satellite-only climatological data record. The CCMP datasets combine cross-calibrated satellite winds obtained from Remote Sensing Systems (REMSS) using a Variational Analysis Method (VAM) to produce a high-resolution (0.25 degree) gridded analysis. The CCMP data set includes cross-calibrated satellite winds derived from SSM/I, SSMIS, AMSR-E, TRMM TMI, QuikSCAT, SeaWinds, WindSat and other satellite instruments as they become available from REMSS. REMSS uses a cross-calibrated sea-surface emissivity model function which improves the consistency between wind speed retrievals from microwave radiometers (i.e., SSM/I, SSMIS AMSR, TMI, and WindSat) and those from scatterometers (i.e., QuikSCAT and SeaWinds). The VAM combines these data with in situ measurements and a starting estimate (first guess) of the wind field. The European Center for Medium-Range Weather Forecasts (ECMWF) ERA-40 Reanalysis is used as the first-guess from 1987 to 1998. The ECMWF Operational analysis is used from January 1999 onward. All wind observations and analysis fields are referenced to a height of 10 meters. The ERA-40 can be obtained from the Computation and Information Systems Laboratory (CISL) at the National Center for Atmospheric Research (NCAR): http://rda.ucar.edu/datasets/ds117.0/. The ECMWF Operational analysis can also be obtained from CISL at NCAR: http://rda.ucar.edu/datasets/ds111.1/. Three products are distributed to complete the CCMP dataset series. L3.0 product contains high-resolution analyses every 6-hours. These data are then time averaged over monthly and 5-day periods to derive the L3.5 product. Directions from the L3.0 product are then assigned to the time and location of the passive microwave satellite wind speed observations to derive the L2.5 product. All datasets are distributed on a 0.25 degree cylindrical coordinate grid. This dataset is one in a series of First-Look (FLK) CCMP datasets and is a continuation and expansion of the SSM/I surface wind velocity project that began under the NASA Pathfinder Program. Refinements and upgrades to the FLK version will be incorporated under a new release (date to be determined) known as Late-look (LLK) and may include additional satellite datasets. All satellite surface wind data are obtained from REMSS under the DISCOVER project: Distributed Information Services: Climate/Ocean Products and Visualizations for Earth Research (http://www.discover-earth.org/index.html). The CCMP project is the result of an investigation funded by the NASA Making Earth Science data records for Use in Research Environments (MEaSUREs) program (http://community.eosdis.nasa.gov/measures/). In accordance with the MEaSUREs program, the CCMP datasets are also known as Earth System Data Records (ESDRs). In collaboration with private and government institutions, a team led by Dr. Robert Atlas (PI; proposal originally solicited by REASoN, and currently funded by MEaSURES) has created the CCMP project to provide multi-instrument ocean surface wind velocity ESDRs, with wide ranging research applications in meteorology and oceanography.'
description_attribution: http://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_5A_5DAY_WIND_VECTORS_FLK
display_name: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses
doi: ~
end_time: 2011-12-31T18:00:00
identifier: nasa-podaac-ccmp_measures_atlas_l4_ow_l3_5a_5day_wind_vectors_flk
lat_max: 78
lat_min: -78
lon_max: 360
lon_min: 0
name: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Pentad First-Look Analyses
native_id: CCMP_MEASURES_ATLAS_L4_OW_L3_5A_5DAY_WIND_VECTORS_FLK
processing_level: ~
publication_year: ~
release_dt: 2011-01-21T17:10:13
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1987-07-02T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-podaac-ccmp_measures_atlas_l4_ow_l3_5a_5day_wind_vectors_flk
url: http://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_5A_5DAY_WIND_VECTORS_FLK
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains a value-added 6-hourly gridded analysis of ocean surface winds. The CCMP datasets combine cross-calibrated satellite winds obtained from Remote Sensing Systems (REMSS) using a Variational Analysis Method (VAM) to produce a high-resolution (0.25 degree) gridded analysis. The CCMP data set includes cross-calibrated satellite winds derived from SSM/I, SSMIS, AMSR-E, TRMM TMI, QuikSCAT, SeaWinds, WindSat and other satellite instruments as they become available from REMSS. REMSS uses a cross-calibrated sea-surface emissivity model function which improves the consistency between wind speed retrievals from microwave radiometers (i.e., SSM/I, SSMIS, AMSR, TMI, and WindSat) and those from scatterometers (i.e., QuikSCAT and SeaWinds). The VAM combines these data with in situ measurements and a starting estimate (first guess) of the wind field. The European Center for Medium-Range Weather Forecasts (ECMWF) ERA-40 Reanalysis is used as the first-guess from 1987 to 1998. The ECMWF Operational analysis is used from January 1999 onward. All wind observations and analysis fields are referenced to a height of 10 meters. The ERA-40 can be obtained from the Computation and Information Systems Laboratory (CISL) at the National Center for Atmospheric Research (NCAR): http://rda.ucar.edu/datasets/ds117.0/. The ECMWF Operational analysis can also be obtained from CISL at NCAR: http://rda.ucar.edu/datasets/ds111.1/. Three products are distributed to complete the CCMP dataset series. L3.0 product contains high-resolution analyses every 6-hours. These data are then time averaged over monthly and 5-day periods to derive the L3.5 product. Directions from the L3.0 product are then assigned to the time and location of the passive microwave satellite wind speed observations to derive the L2.5 product. All datasets are distributed on a 0.25 degree cylindrical coordinate grid. This dataset is one in a series of First-Look (FLK) CCMP datasets and is a continuation and expansion of the SSM/I surface wind velocity project that began under the NASA Pathfinder Program. Refinements and upgrades to the FLK version will be incorporated under a new release (date to be determined) known as Late-look (LLK) and may include additional satellite datasets. All satellite surface wind data are obtained from REMSS under the DISCOVER project: Distributed Information Services: Climate/Ocean Products and Visualizations for Earth Research (http://www.discover-earth.org/index.html). The CCMP project is the result of an investigation funded by the NASA Making Earth Science data records for Use in Research Environments (MEaSUREs) program (http://community.eosdis.nasa.gov/measures/). In accordance with the MEaSUREs program, the CCMP datasets are also known as Earth System Data Records (ESDRs). In collaboration with private and government institutions, a team led by Dr. Robert Atlas (PI; proposal originally solicited by REASoN, and currently funded by MEaSURES) has created the CCMP project to provide multi-instrument ocean surface wind velocity ESDRs, with wide ranging research applications in meteorology and oceanography.'
description_attribution: http://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_0_WIND_VECTORS_FLK
display_name: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses
doi: ~
end_time: 2011-12-31T18:00:00
identifier: nasa-podaac-ccmp_measures_atlas_l4_ow_l3_0_wind_vectors_flk
lat_max: 78
lat_min: -78
lon_max: 360
lon_min: 0
name: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses
native_id: CCMP_MEASURES_ATLAS_L4_OW_L3_0_WIND_VECTORS_FLK
processing_level: ~
publication_year: ~
release_dt: 2011-01-21T17:10:13
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1987-07-02T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-podaac-ccmp_measures_atlas_l4_ow_l3_0_wind_vectors_flk
url: http://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_0_WIND_VECTORS_FLK
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains value-added Special Sensor Microwave Imager (SSM/I) ocean surface winds from the Defense Meteorological Satellite Program (DMSP) F11 platform. The CCMP datasets combine cross-calibrated satellite winds obtained from Remote Sensing Systems (REMSS) using a Variational Analysis Method (VAM) to produce a high-resolution (0.25 degree) gridded analysis. Wind directions from the resulting analysis are assigned to the location and time of the satellite-derived wind speed observations to create this value added dataset. The CCMP data set includes cross-calibrated satellite winds derived from SSM/I, SSMIS, AMSR-E, TRMM TMI, QuikSCAT, SeaWinds, WindSat and other satellite instruments as they become available from REMSS. REMSS uses a cross-calibrated sea-surface emissivity model function which improves the consistency between wind speed retrievals from microwave radiometers (i.e., SSM/I, SSMIS, AMSR, TMI, and WindSat) and those from scatterometers (i.e., QuikSCAT and SeaWinds). The VAM combines these data with in situ measurements and a starting estimate (first guess) of the wind field. The European Center for Medium-Range Weather Forecasts (ECMWF) ERA-40 Reanalysis is used as the first-guess from 1987 to 1998. The ECMWF Operational analysis is used from January 1999 onward. All wind observations and analysis fields are referenced to a height of 10 meters. The ERA-40 can be obtained from the Computation and Information Systems Laboratory (CISL) at the National Center for Atmospheric Research (NCAR): http://rda.ucar.edu/datasets/ds117.0/. The ECMWF Operational analysis can also be obtained from CISL at NCAR: http://rda.ucar.edu/datasets/ds111.1/. Three products are distributed to complete the CCMP dataset series. L3.0 product contains high-resolution analyses every 6-hours. These data are then time averaged over monthly and 5-day periods to derive the L3.5 product. Directions from the L3.0 product are then assigned to the time and location of the passive microwave satellite wind speed observations to derive the L2.5 product. All datasets are distributed on a 0.25 degree cylindrical coordinate grid. This dataset is one in a series of First-Look (FLK) CCMP datasets and is a continuation and expansion of the SSM/I surface wind velocity project that began under the NASA Pathfinder Program. Refinements and upgrades to the FLK version will be incorporated under a new release (date to be determined) known as Late-look (LLK) and may include additional satellite datasets. All satellite surface wind data are obtained from REMSS under the DISCOVER project: Distributed Information Services: Climate/Ocean Products and Visualizations for Earth Research (http://www.discover-earth.org/index.html). The CCMP project is the result of an investigation funded by the NASA Making Earth Science data records for Use in Research Environments (MEaSUREs) program (http://community.eosdis.nasa.gov/measures/). In accordance with the MEaSUREs program, the CCMP datasets are also known as Earth System Data Records (ESDRs). In collaboration with private and government institutions, a team led by Dr. Robert Atlas (PI; proposal originally solicited by REASoN, and currently funded by MEaSURES) has created the CCMP project to provide multi-instrument ocean surface wind velocity ESDRs, with wide ranging research applications in meteorology and oceanography.'
description_attribution: http://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L3_OW_L2_5_SSMI_F11_WIND_VECTORS_FLK
display_name: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L2.5 First-Look SSM/I-F11 Microwave Analyses
doi: ~
end_time: 2000-05-16T16:00:00
identifier: nasa-podaac-ccmp_measures_atlas_l3_ow_l2_5_ssmi_f11_wind_vectors_flk
lat_max: 89.875
lat_min: -89.875
lon_max: 360
lon_min: 0
name: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L2.5 First-Look SSM/I-F11 Microwave Analyses
native_id: CCMP_MEASURES_ATLAS_L3_OW_L2_5_SSMI_F11_WIND_VECTORS_FLK
processing_level: ~
publication_year: ~
release_dt: 2011-01-21T17:10:13
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1991-12-03T19:12:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-podaac-ccmp_measures_atlas_l3_ow_l2_5_ssmi_f11_wind_vectors_flk
url: http://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L3_OW_L2_5_SSMI_F11_WIND_VECTORS_FLK
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'OSCAR (Ocean Surface Current Analysis Real-time) contains near-surface ocean current estimates, derived using quasi-linear and steady flow momentum equations. The horizontal velocity is directly estimated from sea surface height, surface vector wind and sea surface temperature. these data were collected from the various satellites and in situ instruments. The model formulation combines geostrophic, Ekman and Stommel shear dynamics, and a complementary term from the surface buoyancy gradient. Data are on a 1 degree grid with a 5 day resoultion. OSCAR is generated by Earth Space Research (ESR) http://www.esr.org/oscar_index.html'
description_attribution: http://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_1deg
display_name: OSCAR 1 degree ocean surface currents
doi: ~
end_time: ~
identifier: nasa-podaac-oscar_l4_oc_1deg
lat_max: 66
lat_min: -66
lon_max: 180
lon_min: -180
name: OSCAR 1 degree ocean surface currents
native_id: OSCAR_L4_OC_1deg
processing_level: ~
publication_year: ~
release_dt: 2011-01-21T17:10:13
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1992-10-12T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-podaac-oscar_l4_oc_1deg
url: http://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_1deg
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'OSCAR (Ocean Surface Current Analysis Real-time) contains near-surface ocean current estimates, derived using quasi-linear and steady flow momentum equations. The horizontal velocity is directly estimated from sea surface height, surface vector wind and sea surface temperature. These data were collected from the various satellites and in situ instruments. The model formulation combines geostrophic, Ekman and Stommel shear dynamics, and a complementary term from the surface buoyancy gradient. Data are on a 1/3 degree grid with a 5 day resolution. OSCAR is generated by Earth Space Research (ESR) http://www.esr.org/oscar_index.html'
description_attribution: http://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_third-deg
display_name: OSCAR third degree resolution ocean surface currents
doi: ~
end_time: ~
identifier: nasa-podaac-oscar_l4_oc_third-deg
lat_max: 66
lat_min: -66
lon_max: 180
lon_min: -180
name: OSCAR third degree resolution ocean surface currents
native_id: OSCAR_L4_OC_third-deg
processing_level: ~
publication_year: ~
release_dt: 2011-01-21T17:10:13
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1992-10-12T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-podaac-oscar_l4_oc_third-deg
url: http://podaac.jpl.nasa.gov/dataset/OSCAR_L4_OC_third-deg
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains a value-added monthly mean ocean surface wind and pseudostress to approximate a satellite-only climatological data record. The CCMP datasets combine cross-calibrated satellite winds obtained from Remote Sensing Systems (REMSS) using a Variational Analysis Method (VAM) to produce a high-resolution (0.25 degree) gridded analysis. The CCMP data set includes cross-calibrated satellite winds derived from SSM/I, SSMIS, AMSR-E, TRMM TMI, QuikSCAT, SeaWinds, WindSat and other satellite instruments as they become available from REMSS. REMSS uses a cross-calibrated sea-surface emissivity model function which improves the consistency between wind speed retrievals from microwave radiometers (i.e., SSM/I, SSMIS, AMSR, TMI, WindSat) and those from scatterometers (i.e., QuikSCAT and SeaWinds). The VAM combines these data with in situ measurements and a starting estimate (first guess) of the wind field. The European Center for Medium-Range Weather Forecasts (ECMWF) ERA-40 Reanalysis is used as the first-guess from 1987 to 1998. The ECMWF Operational analysis is used from January 1999 onward. All wind observations and analysis fields are referenced to a height of 10 meters. The ERA-40 can be obtained from the Computation and Information Systems Laboratory (CISL) at the National Center for Atmospheric Research (NCAR): http://rda.ucar.edu/datasets/ds117.0/. The ECMWF Operational analysis can also be obtained from CISL at NCAR: http://rda.ucar.edu/datasets/ds111.1/. Three products are distributed to complete the CCMP dataset series. L3.0 product contains high-resolution analyses every 6-hours. These data are then time averaged over monthly and 5-day periods to derive the L3.5 product. Directions from the L3.0 product are then assigned to the time and location of the passive microwave satellite wind speed observations to derive the L2.5 product. All datasets are distributed on a 0.25 degree cylindrical coordinate grid. This dataset is one in a series of First-Look (FLK) CCMP datasets and is a continuation and expansion of the SSM/I surface wind velocity project that began under the NASA Pathfinder Program. Refinements and upgrades to the FLK version will be incorporated under a new release (date to be determined) known as Late-look (LLK) and may include additional satellite datasets. All satellite surface wind data are obtained from REMSS under the DISCOVER project: Distributed Information Services: Climate/Ocean Products and Visualizations for Earth Research (http://www.discover-earth.org/index.html). The CCMP project is the result of an investigation funded by the NASA Making Earth Science data records for Use in Research Environments (MEaSUREs) program (http://community.eosdis.nasa.gov/measures/). In accordance with the MEaSUREs program, the CCMP datasets are also known as Earth System Data Records (ESDRs). In collaboration with private and government institutions, a team led by Dr. Robert Atlas (PI; proposal originally solicited by REASoN, and currently funded by MEaSURES) has created the CCMP project to provide multi-instrument ocean surface wind velocity ESDRs, with wide ranging research applications in meteorology and oceanography.'
description_attribution: http://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_5A_MONTHLY_WIND_VECTORS_FLK
display_name: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses
doi: ~
end_time: 2011-12-31T18:00:00
identifier: nasa-podaac-ccmp_measures_atlas_l4_ow_l3_5a_monthly_wind_vectors_flk
lat_max: 78
lat_min: -78
lon_max: 360
lon_min: 0
name: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.5A Monthly First-Look Analyses
native_id: CCMP_MEASURES_ATLAS_L4_OW_L3_5A_MONTHLY_WIND_VECTORS_FLK
processing_level: ~
publication_year: ~
release_dt: 2011-01-21T17:10:13
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1987-07-02T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-podaac-ccmp_measures_atlas_l4_ow_l3_5a_monthly_wind_vectors_flk
url: http://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_5A_MONTHLY_WIND_VECTORS_FLK
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'ABSTRACT: A gridded data set has been assembled over the BOREAS hydro-meteorological study region that combines a precipitation data set based on a rain gauge network with precipitation estimates based on SSM/I satellite images. The result is an hourly precipitation data set covering 122 consecutive days beginning on June 1, 1996.'
description_attribution: http://daac.ornl.gov//BOREAS/FollowOn/guides/hmet01_ssmi_precip_doc.html
display_name: BOREAS Follow-On HMet-01 Merged SSM/I and Rain Gauge Precipitation Data
doi: 10.3334/ORNLDAAC/606
end_time: 1996-10-01T00:00:00
identifier: nasa-ornldaac-606
lat_max: 57
lat_min: 52
lon_max: -96
lon_min: -107
name: BOREAS Follow-On HMet-01 Merged SSM/I and Rain Gauge Precipitation Data
native_id: hmet01_ssmi_precip
processing_level: ~
publication_year: ~
release_dt: 2001-01-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1996-06-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-ornldaac-606
url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=606
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'ABSTRACT: The GPROF 6.0 Pentads data set contains 5-day (pentad) averages of the GPROF 6.0 Gridded Orbits. The GPROF(Goddard Profiling Algorithm) data set contains a suite of 9 products providing instantaneous, gridded values of precipitation totals for each granule of the SSM/I (Special Sensor Microwave/Imager) data over the roughly 14-year period July 1987 through the present. Even though there have been at least two satellites for the entire period, sampling is sufficiently sparse that the data are averaged for pentads, then the pentads are smoothed with a 1-2-3-2-1 time-weighting. The last two pentads are unevenly weighted since the last (or last two) pentads in the average are not yet available. Consequently, the last two pentads must be recomputed when the next pentad becomes available.The data set prepared for SAFARI cover the years 1999, 2000, and 2001.The main refereed citations for the data set are Kummerow et al. (1996)and Olson et al. (1999)'
description_attribution: http://daac.ornl.gov//S2K/guides/s2k_GPROF.html
display_name: 'SAFARI 2000 SSM/I GPROF 6.0 Precipitation Data, 0.5-Deg, 1999-2001'
doi: 10.3334/ORNLDAAC/716
end_time: 2001-12-31T00:00:00
identifier: nasa-ornldaac-716
lat_max: 5
lat_min: -35
lon_max: 60
lon_min: 5
name: 'SAFARI 2000 SSM/I GPROF 6.0 Precipitation Data, 0.5-Deg, 1999-2001'
native_id: s2k_gprof
processing_level: ~
publication_year: ~
release_dt: 2004-01-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1999-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-ornldaac-716
url: http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=716
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
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 (AMSRE), the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, 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. This data set is funded by the NASA MEaSUREs program(http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects), and created by a team led by Dr. Toshio M. Chin from JPL. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.'
description_attribution: http://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1
display_name: GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)
doi: ~
end_time: ~
identifier: nasa-podaac-mur-jpl-l4-glob-v4-1
lat_max: 90
lat_min: -90
lon_max: 180
lon_min: -180
name: GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)
native_id: MUR-JPL-L4-GLOB-v4.1
processing_level: ~
publication_year: ~
release_dt: 2014-10-31T16:30:37
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 2002-06-01T09:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-podaac-mur-jpl-l4-glob-v4-1
url: http://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set is generated from brightness temperature data derived from the following sensors: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Defense Meteorological Satellite Program (DMSP) -F8, -F11 and -F13 Special Sensor Microwave/Imagers (SSM/Is), and the DMSP-F17 Special Sensor Microwave Imager/Sounder (SSMIS). The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km. This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) spanning the coverage of several passive microwave instruments. To aid in this goal, sea ice algorithm coefficients are changed to reduce differences in sea ice extent and area as estimated using the SMMR and SSM/I sensors. The data are generated using the NASA Team algorithm developed by the Oceans and Ice Branch, Laboratory for Hydrospheric Processes at NASA Goddard Space Flight Center (GSFC). These data include gridded daily (every other day for SMMR data) and monthly averaged sea ice concentrations for both the north and south polar regions. The data are produced at GSFC about once per year, with roughly a one-year latency, and include data since 26 October 1978. Data are produced from SMMR brightness temperature data processed at NASA GSFC and from SSM/I and SSMIS brightness temperature data processed at the National Snow and Ice Data Center (NSIDC). Data are scaled and stored as one-byte integers in flat binary arrays. For each data file, a corresponding PNG browse image file is provided. Data are available via FTP.'
description_attribution: http://nsidc.org/data/nsidc-0081.html
display_name: Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data
doi: 10.5067/8GQ8LZQVL0VL
end_time: 2014-12-31T00:00:00
identifier: nasa-nsidcdaac-0051
lat_max: 90
lat_min: 30.98
lon_max: 180
lon_min: -180
name: Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data
native_id: NSIDC-0051
processing_level: ~
publication_year: ~
release_dt: 1996-01-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1978-10-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0051
url: http://nsidc.org/data/NSIDC-0051
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'The Greenland ice sheet melt extent data, acquired as part of the NASA Program for Arctic Regional Climate Assessment (PARCA), is a daily (or every other day, prior to August 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet since 1979. It is derived from passive microwave satellite brightness temperature characteristics using the Cross-Polarized Gradient Ratio (XPGR) of Abdalati and Steffen (1997). It is physically based on the changes in microwave emission characteristics observable in data from the Scanning Multi-channel Microwave Radiometer (SMMR) and the Special Sensor Microwave/Imager (SSM/I) instruments when surface snow melts. It is not a direct measure of the snow wetness but rather is a binary indicator of the state of melt of each SMMR and SSM/I pixel on the ice sheet for each day of observation. It is, however, a useful proxy for the amount of melt that occurs on the Greenland ice sheet. The data are provided in a variety of formats including raw data in ASCII format, gridded daily data in binary format, and annual and complete time series climatologies in gridded binary and GeoTIFF format. All data are in a 60 x 109 pixel subset of the standard Northern Hemisphere polar stereographic grid with a 25 km resolution and are available via FTP.'
description_attribution: ~
display_name: Greenland Ice Sheet Melt Characteristics Derived from Passive Microwave Data
doi: 10.5067/NON9395MQ9TK
end_time: 2007-12-31T00:00:00
identifier: nasa-nsidcdaac-0218
lat_max: 84
lat_min: 60
lon_max: -10
lon_min: -73
name: Greenland Ice Sheet Melt Characteristics Derived from Passive Microwave Data
native_id: NSIDC-0218
processing_level: ~
publication_year: ~
release_dt: 2008-02-25T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1979-04-02T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0218
url: http://nsidc.org/data/NSIDC-0218
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: "This sea ice concentration data set was derived using measurements from the Scanning Multichannel Microwave Radiometer (SMMR) on the Nimbus-7 satellite and from the Special Sensor Microwave/Imager (SSM/I) sensors on the Defense Meteorological Satellite Program's (DMSP) -F8, -F11, and -F13 satellites. Measurements from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard DMSP-F17 are also included. The data set has been generated using the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) Bootstrap Algorithm with daily varying tie-points. Daily (every other day prior to July 1987) and monthly data are available for both the north and south polar regions. Data are gridded on the SSM/I polar stereographic grid (25 x 25 km) and provided in two-byte integer format. Data are available via FTP."
description_attribution: http://nsidc.org/data/nsidc-0051.html
display_name: Bootstrap Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS
doi: 10.5067/J6JQLS9EJ5HU
end_time: 2014-12-31T00:00:00
identifier: nasa-nsidcdaac-0079
lat_max: 90
lat_min: 30
lon_max: 180
lon_min: -180
name: Bootstrap Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS
native_id: NSIDC-0079
processing_level: ~
publication_year: ~
release_dt: 2000-02-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1978-10-26T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0079
url: http://nsidc.org/data/NSIDC-0079
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'NSIDC produces daily gridded brightness temperature data from orbital swath data generated by the Special Sensor Microwave/Imager (SSM/I) aboard the Defense Meteorological Satellite Program (DMSP) F8, F11, and F13 platforms and the Special Sensor Microwave Imager/Sounder (SSMIS) aboard DMSP-F17. The SSM/I and SSMIS channels used to calculate brightness temperatures include 19.3 GHz vertical and horizontal, 22.2 GHz vertical, 37.0 GHz vertical and horizontal, 85.5 GHz vertical and horizontal (on SSM/I), and 91.7 GHz vertical and horizontal (on SSMIS). Thus, a total of nine channels result from vertical and horizontal polarization for each of five frequencies, with the exception of 22.2 GHz, which is vertical only. The gridded brightness temperatures are distributed in polar stereographic projection. Orbital data for each 24-hour period are mapped to respective grid cells using a simple sum and average method (drop-in-the-bucket method). 85.5 GHz and 91.7 GHz data are gridded at a resolution of 12.5 km, with all other frequencies at a resolution of 25 km. All SSM/I and SSMIS gridded brightness temperature data are stored as scaled 2-byte integers in flat binary arrays and are available via FTP.'
description_attribution: ~
display_name: DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures
doi: 10.5067/AN9AI8EO7PX0
end_time: 2014-12-31T00:00:00
identifier: nasa-nsidcdaac-0001
lat_max: 90
lat_min: 30
lon_max: 180
lon_min: -180
name: DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures
native_id: NSIDC-0001
processing_level: ~
publication_year: ~
release_dt: 2004-05-10T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1987-07-09T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0001
url: http://nsidc.org/data/NSIDC-0001
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'Notice Regarding Data Corrections
04 September 2013
These data sets were recently revised. Please refer to the Documentation link provided above for details regarding data corrections and reprocessing.
NSIDC provides a suite of value-added data sets to aid in investigations of the variability and trends of sea ice cover. These data sets provide users with information about sea ice extent, total ice-covered area, ice persistence, monthly climatologies of sea ice concentrations, and ocean masks. The maps are in ArcInfo export file format. All other data sets are in flat binary or ASCII format with accompanying Portable Network Graphics (PNG) browse images. Products are derived from Nimbus-7 SMMR; DMSP-F8, -F11, and -F13 SSM/I; and from DMSP-F17 SSMIS sea ice concentrations at a grid cell size of 25 x 25 km. Data begin in October 1978 and processing is ongoing. Data are available via FTP.'
description_attribution: http://nsidc.org/data/nsidc-0051.html
display_name: Sea Ice Trends and Climatologies from SMMR and SSM/I-SSMIS
doi: 10.5067/C2HMG48G83QQ
end_time: 2013-12-31T00:00:00
identifier: nasa-nsidcdaac-0192
lat_max: 90
lat_min: 30.98
lon_max: 180
lon_min: -180
name: Sea Ice Trends and Climatologies from SMMR and SSM/I-SSMIS
native_id: NSIDC-0192
processing_level: ~
publication_year: ~
release_dt: 2003-10-24T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1978-10-26T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0192
url: http://nsidc.org/data/NSIDC-0192
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set offers users weekly 100 km Northern Hemisphere snow cover extent represented by three different variables. Two of the variables are derived from individual source products: the NOAA/NCDC Northern Hemisphere Snow Cover Extent Climate Data Record and Defense Meteorological Satellite Program (DMSP) passive microwave brightness temperatures, respectively. The third variable merges the other two into a single representation of snow cover.'
description_attribution: ~
display_name: MEaSUREs Northern Hemisphere Terrestrial Snow Cover Extent Weekly 100km EASE-Grid 2.0
doi: 10.5067/MEASURES/CRYOSPHERE/nsidc-0531.001
end_time: 2012-12-31T00:00:00
identifier: nasa-nsidcdaac-0531
lat_max: 90
lat_min: 0
lon_max: 180
lon_min: -180
name: MEaSUREs Northern Hemisphere Terrestrial Snow Cover Extent Weekly 100km EASE-Grid 2.0
native_id: NSIDC-0531
processing_level: ~
publication_year: ~
release_dt: 2014-12-17T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1966-10-04T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0531
url: http://nsidc.org/data/NSIDC-0531
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a daily record of Arctic sea ice characteristics for the years 1979 through 2012 derived from passive microwave brightness temperatures. Characteristics include the location of sea ice cover, sea ice age, day of melt onset, and status of melt onset. Data are gridded in the 25 km Equal-Area Scalable Earth Grid (EASE-Grid) 2.0 and provided as netCDF files.'
description_attribution: ~
display_name: MEaSUREs Arctic Sea Ice Characterization Daily 25km EASE-Grid 2.0
doi: 10.5067/MEASURES/CRYOSPHERE/nsidc-0532.001
end_time: 2012-12-31T00:00:00
identifier: nasa-nsidcdaac-0532
lat_max: 90
lat_min: 0
lon_max: 180
lon_min: -180
name: MEaSUREs Arctic Sea Ice Characterization Daily 25km EASE-Grid 2.0
native_id: NSIDC-0532
processing_level: ~
publication_year: ~
release_dt: 2014-06-20T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1979-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0532
url: http://nsidc.org/data/NSIDC-0532
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set offers users a 25 km daily record of surface/near-surface melting on the Greenland Ice Sheet. The presence of melting is determined from brightness temperature data acquired during a 34 year span by three satellite-borne microwave radiometers: the Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager/Sounder (SSMIS).'
description_attribution: ~
display_name: MEaSUREs Greenland Surface Melt Daily 25km EASE-Grid 2.0
doi: 10.5067/MEASURES/CRYOSPHERE/nsidc-0533.001
end_time: 2012-12-31T00:00:00
identifier: nasa-nsidcdaac-0533
lat_max: 90
lat_min: 0.12
lon_max: 180
lon_min: -180
name: MEaSUREs Greenland Surface Melt Daily 25km EASE-Grid 2.0
native_id: NSIDC-0533
processing_level: ~
publication_year: ~
release_dt: 2014-11-20T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1979-01-02T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0533
url: http://nsidc.org/data/NSIDC-0533
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set reports the location of Northern Hemisphere snow cover and sea ice extent, the status of melt onset across Greenland and Arctic sea ice, and the level of agreement between snow cover maps derived from two different sources.'
description_attribution: ~
display_name: MEaSUREs Northern Hemisphere State of Cryosphere Weekly 100km EASE-Grid 2.0
doi: 10.5067/MEASURES/CRYOSPHERE/nsidc-0535.001
end_time: 2012-12-31T00:00:00
identifier: nasa-nsidcdaac-0535
lat_max: 90
lat_min: 0
lon_max: 180
lon_min: -180
name: MEaSUREs Northern Hemisphere State of Cryosphere Weekly 100km EASE-Grid 2.0
native_id: NSIDC-0535
processing_level: ~
publication_year: ~
release_dt: 2015-02-27T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1979-01-02T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0535
url: http://nsidc.org/data/NSIDC-0535
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'The Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent Version 4 product combine snow cover and sea ice extent at weekly intervals from 23 October 1978 through 29 June 2014, and snow cover alone from 03 October 1966 through 29 June 2014. Snow cover extent for this data set is based on the NOAA/NCDC Climate Data Record (CDR) of Northern Hemisphere (NH) Snow Cover Extent (SCE) by D. Robinson (2012) and regridded to the EASE-Grid. The NOAA/NCDC CDR of Northern Hemisphere Snow Cover Extent data were derived from the manual interpretation of AVHRR, GOES, and other visible-band satellite data (Helfrich et al. 2007). Sea ice extent is regridded to EASE-Grid from Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data. Designed to facilitate study of Northern Hemisphere seasonal fluctuations of snow cover and sea ice extent, the data set also includes monthly climatologies describing average extent, probability of occurrence, and variance. Data are provided in flat, unsigned binary files and are available via FTP.'
description_attribution: http://nsidc.org/data/ease/
display_name: Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent
doi: 10.5067/P7O0HGJLYUQU
end_time: 2014-06-29T00:00:00
identifier: nasa-nsidcdaac-0046
lat_max: 90
lat_min: 0
lon_max: 180
lon_min: -180
name: Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent
native_id: NSIDC-0046
processing_level: ~
publication_year: ~
release_dt: 2013-02-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1966-10-03T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0046
url: http://nsidc.org/data/NSIDC-0046
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through through most recent processing for both the north and south polar regions on a 25 km x 25 km grid. The NOAA/NSIDC CDR is based on the recommendations from the National Research Council (NRC) (2004). It is produced from gridded brightness temperatures from the Defense Meteorological Satellite Program (DMSP) F8, F11, and F13 Special Sensor Microwave Imager (SSM/I) passive microwave radiometers and the DMSP F17 Special Sensor Microwave Imager/Sounder (SSMIS) passive microwave radiometer. The NOAA/NSIDC CDR sea ice concentrations are an estimate of the fraction of ocean area covered by sea ice that is produced by combining concentration estimates created using two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm (Cavalieri et al., 1984) and the Bootstrap algorithm (Comiso, 1986). NSIDC applies the individual algorithms to brightness temperature data from Remote Sensing Systems, Inc. (RSS). The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells and are available in netCDF file format. Each file includes four different sea ice concentration variables: a variable with the primary CDR sea ice concentrations created by NSIDC and three variables with sea ice concentrations created by Goddard. The three Goddard-produced sea ice concentrations are the Goddard NASA Team algorithm sea ice concentrations, the Goddard Bootstrap sea ice concentrations, and a merged version of the two sea ice concentrations. These Goddard-produced sea ice concentrations are included in the data files for a number of reasons. First, the merged Goddard NASA Team/Bootstrap sea ice concentrations are an ancillary data set that is analogous to the NOAA/NSIDC CDR data but that adds late 1978 through mid 1987 data to the record. A different instrument, the Scanning Multichannel Microwave Radiometer (SMMR), was the source for the brightness temperatures from this period. Sea ice concentrations from the extended period are not part of the primary NSIDC-produced CDR record because complete documentation of the SMMR brightness temperature processing method is not available. Second, the separate Goddard NASA Team and Bootstrap sea ice concentrations are provided for reference. Variables containing standard deviation, quality flags, and projection information are also included in the netCDF files.'
description_attribution: http://nsidc.org/data/nsidc-0001.html
display_name: NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration
doi: 10.7265/N55M63M1
end_time: 2013-12-31T00:00:00
identifier: nsidc-g02202
lat_max: 89.84
lat_min: 31.1
lon_max: 180
lon_min: -180
name: NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration
native_id: G02202
processing_level: ~
publication_year: ~
release_dt: 2013-06-20T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1978-10-26T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nsidc-g02202
url: http://nsidc.org/data/G02202
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'Daily ice motion vectors are computed from a wide variety of sensors ranging from passive microwave radiometers, such as the Scanning Multichannel Microwave Radiometer (SMMR), to International Arctic Buoy Programme (IABP) buoy data. Daily gridded fields combine data from all sensors, from November 1978 through December 2012. Grids extend from 48.4° N to 90° N, and from 53.2° S to 90° S. Mean gridded fields include yearly, monthly, and weekly means, and a mean for the entire time series. Both daily and mean gridded fields are in 2-byte integer format, reprojected to 25 km Northern and Southern Hemisphere EASE-Grids. Browse images of mean fields are available in Portable Network Graphics (PNG) and Postscript (PS) formats. Raw ice motion vectors from each sensor are in tab-delimited ASCII text format. The complete data set is available via FTP.'
description_attribution: ~
display_name: Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors
doi: 10.5067/LHAKY495NL2T
end_time: 2012-12-31T00:00:00
identifier: nasa-nsidcdaac-0116
lat_max: -53.2028
lat_min: -90
lon_max: 180
lon_min: -180
name: Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors
native_id: NSIDC-0116
processing_level: ~
publication_year: ~
release_dt: 2013-11-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1978-10-25T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0116
url: http://nsidc.org/data/NSIDC-0116
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This Level-3 Equal-Area Scalable Earth-Grid (EASE-Grid) Brightness Temperature data set, collected since 09 July 1987, is a part of the NOAA/NASA Pathfinder Program. The data set consists of gridded data from the Special Sensor Microwave/Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS) in three equal-area projections: Northern Hemisphere, Southern Hemisphere, and full global. The data gridding technique maximizes the radiometric integrity of the original brightness temperature values, maintains high spatial and temporal precision, and involves no averaging of original swath data. Spatial coverage is global and a spatial resolution of 25 km is available for all channels. Channels at 85 and 91 GHz are also provided at 12.5 km. For a given projection, there are 18 brightness temperature files per day and two corresponding time files. Data are contained in flat binary files and are available via FTP as processing is completed.'
description_attribution: http://nsidc.org/data/ease/
display_name: DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures
doi: 10.5067/3EX2U1DV3434
end_time: 2014-12-31T00:00:00
identifier: nasa-nsidcdaac-0032
lat_max: 90
lat_min: -90
lon_max: 180
lon_min: -180
name: DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures
native_id: NSIDC-0032
processing_level: ~
publication_year: ~
release_dt: 1994-01-01T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1987-07-09T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0032
url: http://nsidc.org/data/NSIDC-0032
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set includes yearly snow melt onset dates over Arctic sea ice derived from brightness temperatures from the Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager/Sounder (SSMIS). The introduction of liquid water to snow results in a sharp increase in the emissivity and hence brightness temperature of the snowpack. Snow melt onset is defined as the point in time when microwave brightness temperatures increase sharply due to the presence of liquid water in the snowpack. Data span the years 1979 through 2012 and are in a polar stereographic grid at 25 km resolution. Flat binary, 1-byte integer files and GIF images are accessible via FTP. Several value-added products are also available. Value-added data sets include the following for each pixel: mean melt onset date; latest (maximum) melt onset date; earliest (minimum) melt onset date; range of melt onset dates (the difference between maximum and minimum -- an index of variability); and standard deviation of melt onset date (another index of variability). Graphical representations of value-added data are also available.'
description_attribution: ~
display_name: Snow Melt Onset Over Arctic Sea Ice from SMMR and SSM/I-SSMIS Brightness Temperatures
doi: 10.5067/22NFZL42RMUO
end_time: 2012-12-31T00:00:00
identifier: nasa-nsidcdaac-0105
lat_max: 90
lat_min: 30
lon_max: 180
lon_min: -180
name: Snow Melt Onset Over Arctic Sea Ice from SMMR and SSM/I-SSMIS Brightness Temperatures
native_id: NSIDC-0105
processing_level: ~
publication_year: ~
release_dt: 2014-04-11T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1979-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0105
url: http://nsidc.org/data/NSIDC-0105
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'The MEaSUREs Global Record of Daily Landscape Freeze/Thaw Status, Version 3 data set is a global record of the daily freeze/thaw (F/T) status of the landscape derived from satellite observations of radiometric brightness temperatures. Two F/T records are provided: one derived from Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), and Special Sensor Microwave Imager/Sounder (SSMIS) data for the years 1979 to 2012; and a second derived from Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) data for the years 2002 to 2011. Note: These data are considered provisional pending a review by the MEaSUREs program. Once the data have been reviewed, this statement will be removed from this documentation.'
description_attribution: ~
display_name: MEaSUREs Global Record of Daily Landscape Freeze/Thaw Status
doi: 10.5067/MEASURES/CRYOSPHERE/nsidc-0477.003
end_time: 2011-09-27T00:00:00
identifier: nasa-nsidcdaac-0477
lat_max: 86.7167
lat_min: -86.7167
lon_max: 179.9999
lon_min: -179.9999
name: MEaSUREs Global Record of Daily Landscape Freeze/Thaw Status
native_id: NSIDC-0477
processing_level: ~
publication_year: ~
release_dt: 2014-08-06T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 2002-06-19T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0477
url: http://nsidc.org/data/NSIDC-0477
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set provides weekly estimates of sea ice age for the Arctic Ocean from remotely sensed sea ice motion and sea ice extent. The ice age data are derived from a number of passive microwave imagers: the Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager Sounder (SSMIS). Visible and infrared data from the Advanced Very High Resolution Radiometer (AVHRR) were also utilized through 2004. In addition, International Arctic Buoy Program (IABP) drifting-buoy vectors and the National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) Reanalysis Project (CDAS) are used to augment the satellite data. The data are on a sub-set of the Northern Hemisphere 12.5 km EASE-Grid. The data are in flat binary files and each has a corresponding browse GIF image for quick inspection of the data. Both are available via FTP.'
description_attribution: ~
display_name: EASE-Grid Sea Ice Age
doi: 10.5067/1UQJWCYPVX61
end_time: 2012-12-31T00:00:00
identifier: nasa-nsidcdaac-0611
lat_max: 90
lat_min: 48.4
lon_max: 180
lon_min: -180
name: EASE-Grid Sea Ice Age
native_id: NSIDC-0611
processing_level: ~
publication_year: ~
release_dt: 2015-02-09T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1978-11-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0611
url: http://nsidc.org/data/NSIDC-0611
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'This data set offers users 25 km Northern Hemisphere snow cover extent represented by four different variables. Three of the snow cover variables are derived from the Interactive Multisensor Snow and Ice Mapping System, MODIS Cloud Gap Filled Snow Cover, and passive microwave brightness temperatures, respectively. The fourth variable merges the three source products into a single representation of snow cover.'
description_attribution: ~
display_name: MEaSUREs Northern Hemisphere Terrestrial Snow Cover Extent Daily 25km EASE-Grid 2.0
doi: 10.5067/MEASURES/CRYOSPHERE/nsidc-0530.001
end_time: 2012-12-31T00:00:00
identifier: nasa-nsidcdaac-0530
lat_max: 90
lat_min: 0
lon_max: 180
lon_min: -180
name: MEaSUREs Northern Hemisphere Terrestrial Snow Cover Extent Daily 25km EASE-Grid 2.0
native_id: NSIDC-0530
processing_level: ~
publication_year: ~
release_dt: 2014-09-16T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1999-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0530
url: http://nsidc.org/data/NSIDC-0530
variables: ~
version: ~
vertical_extent: ~
- access_dt: ~
attributes: ~
cite_metadata: ~
data_qualifier: ~
description: 'These valid ice masks provide a way to remove spurious ice caused by residual weather effects and land spillover in passive microwave data. They are derived from the National Ice Center Arctic Sea Ice Charts and Climatologies data set and show where ice could possibly exist based on where it has existed in the past. There are 12 valid ice masks, one for each month, in netCDF-CF 1.6 compliant files with all associated metadata. The data are on a 304 x 448 grid and are available via FTP.'
description_attribution: ~
display_name: Polar Stereographic Valid Ice Masks Derived from National Ice Center Monthly Sea Ice Climatologies
doi: 10.5067/M4PUJAQRI2DS
end_time: 2007-12-31T00:00:00
identifier: nasa-nsidcdaac-0622
lat_max: 90
lat_min: 39.5
lon_max: 180
lon_min: -180
name: Polar Stereographic Valid Ice Masks Derived from National Ice Center Monthly Sea Ice Climatologies
native_id: NSIDC-0622
processing_level: ~
publication_year: ~
release_dt: 2015-05-14T00:00:00
scale: ~
scope: ~
spatial_extent: ~
spatial_ref_sys: ~
spatial_res: ~
start_time: 1972-01-01T00:00:00
temporal_extent: ~
temporal_resolution: ~
type: dataset
uri: /dataset/nasa-nsidcdaac-0622
url: http://nsidc.org/data/NSIDC-0622
variables: ~
version: ~
vertical_extent: ~
display_name: defense-meteorological-satellite-program-f-11/special-sensor-microwave-imager
href: http://52.38.26.42:8080/platform/defense-meteorological-satellite-program-f-11/instrument/special-sensor-microwave-imager.yaml
instrument_identifier: special-sensor-microwave-imager
location: ~
parents: []
platform_identifier: defense-meteorological-satellite-program-f-11
type: instrument_instance
uri: /platform/defense-meteorological-satellite-program-f-11/instrument/special-sensor-microwave-imager