NASA tes Project

carbon climate elevation hdf hdf5 hydrology ice land cover lidar netcdf oceans precipitation radar satellite imagery soil moisture weather

Description

This data set contains Level-2 global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).

AQ3_ANSM

This data set contains Level-3 gridded annual global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).

AQ3_DYSM

This data set contains Level-3 gridded daily global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).

AQ3_MCSM

This data set contains Level-3 gridded monthly global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).

AQ3_MOSM

This data set contains Level-3 gridded monthly global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).

AQ3_SCSM

This data set contains Level-3 gridded seasonal global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).

AQ3_SNSM

This data set contains Level-3 gridded seasonal global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).

AQ3_WKSM

This data set contains Level-3 gridded weekly global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).

HMA_DTE

This data set includes spatially distributed estimates of the debris thickness and sub-debris melt enhancement factors for every debris-covered glacier in the Randolph Glacier Inventory Version 6, excluding the ice sheets and Antarctic Periphery. The debris thickness estimates are derived using a novel approach that uses a combination of sub-debris melt inversion and surface temperature inversion methods. The sub-debris melt enhancement factors are estimated from the debris thickness using debris thickness-melt curves normalized by estimates of the clean-ice melt.

HMA_FreezeThawMelt_ASCAT

This data set contains bulk landscape frozen or thawed status over seasonally frozen land, as well as snowmelt status over glacierized areas for the High Mountain Asia region. Daily Freeze/Thaw/Melt (F/T/M) status is derived from vertically polarized (V-pol) C-band (5.255 GHz) backscatter measurements that were acquired by the Advanced Scatterometer (ASCAT) on EUMETSAT Metop-A and Metop-B satellites. Swath-ordered observations are spatially enhanced using the Scatterometer Image Reconstruction (SIR) algorithm, posted on Earth-fixed 4.45 km grids, and interpolated to a daily product from the original 3-day A.M. overpasses.

HMA_Precip_3B42

This data set features seven standard annual mean extreme precipitation indices: Rx1day, Rx5day, CWD, R10mm, R20mm, R95pTOT, and R99pTOT. They were selected on the basis of potential relevance to landslide activity from the 27 indices established by the joint CCl/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and Indices (ETCCDI). The seven indices were calculated from 3B42 version 7 daily satellite precipitation estimates.

NSIDC-0545

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including the Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites. See Antarctic Ice Sheet Velocity and Mapping Data for related data.

NSIDC-0793

This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains monthly, 120 m resolution ice masks for the Greenland Ice Sheet from 1972 to 2022. The presence of ice was determined from 237,556 manually and AI-derived terminus positions acquired by satellite optical and radar observations. Months with no observations have been gap-filled using past and future observations of terminus positions and advance rates constrained by the average flow speed of the glacier. Animations are also available for 206 catchments that show how the ice front positions have changed over the course of the time series and can be used as a quality control check.

NSIDC-0761

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of three as-complete-as-possible mosaic maps of velocities on the Antarctic ice sheet for the time periods 1995–2001, 2007–2009, and 2014–2017. The maps are posted at 450 m in the WGS 84/Antarctic Polar Stereographic projection. In addition to ice velocity, the data set provides maps of velocity error and standard deviation; counts of velocity estimates used per pixel; date ranges; and masks that delineate the ice fronts and grounding lines for the each period.

MWOW_L3_EPI_V0.1

This data set contains 6-hourly, global gridded wind speed and direction at 0.125 degree horizontal resolution from the MWOW (Multi-sensor Worldwide Ocean Winds) Project. It is a harmonized wind product combining retrievals from a variety of satellite-based instruments, including five scatterometers, one radiometer, and one synthetic aperture radar (SAR) for the Version 0.1 product. Data are available in netCDF format, with one file for each 6-hour timestep. Note that data from the instruments are not aggregated together to create a composite wind map for each timestep. Rather, observations from each instrument are kept separate, split over the “time” dimension. Further, any observations from the same instrument that overlap spatially in the 6-hour window are also reported as separate observations along this time dimension. This “Expanded Platform Input” product is similar to the MWOW_L3_V0.1 product (DOI 10.5067/MWOW-6H-V01) with additional data inputs from scatterometers aboard the Hai Yang 2B and 2C satellites.

Version 0 of these data include an initial bulk ingest of data in January 2026 with forward streaming planned for later in the year. Version 0 is primarily meant for assessment by stakeholders, with future versions likely to incorporate feedback from the stakeholders. No User Guide is planned for this version, although the data are considered science quality. Interested users looking for more information are encouraged to contact the data producer.

The MWOW Project is funded by NASA’s Satellite Needs Working Group (SNWG) which provides data products developed to meet the needs of stakeholders from US government agencies.

MWOW_L3_HIGHRES_EPI_V0.1

This data set contains 6-hourly, global gridded wind speed and direction at 1/64th degree horizontal resolution from the MWOW (Multi-sensor Worldwide Ocean Winds) Project. It is a harmonized wind product combining retrievals from the KaRIn satellite-based SAR (synthetic aperture radar) with interpolated data from five scatterometers and one radiometer for comparison where SAR data is available. Data are available in netCDF format, with one file for each 6-hour timestep. Note that data from the instruments are not aggregated together to create a composite wind map for each timestep. Rather, observations from each instrument are kept separate, split over the “time” dimension. Further, any observations from the same instrument that overlap spatially in the 6-hour window are also reported as separate observations along this time dimension. This “Expanded Platform Input” product is similar to the MWOW_L3_HIRES_V0.1 product (DOI 10.5067/MWOW-6HHR-V01) with additional data inputs from scatterometers aboard the Hai Yang 2B and 2C satellites.

Version 0 of these data include an initial bulk ingest of data in January 2026 with forward streaming planned for later in the year. Version 0 is primarily meant for assessment by stakeholders, with future versions likely to incorporate feedback from the stakeholders. No User Guide is planned for this version, although the data are considered science quality. Interested users looking for more information are encouraged to contact the data producer.

The MWOW Project is funded by NASA’s Satellite Needs Working Group (SNWG) which provides data products developed to meet the needs of stakeholders from US government agencies.

NmAVCS3G

This data set (NmAVCS3G) consists of daily image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery for the region between 60 N and 60 S. Data are provided as GeoTIFFs. For the HDF5 formatted version of these data, see Nimbus Advanced Vidicon Camera System Remapped Visible Imagery Daily L3, HDF5.

NmAVCS3H

This data set (NmAVCS3H) consists of daily, global image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery. Each composite is provided as a set of three HDF5-formatted files: separate North and South Polar projections in the 5 km Equal-Area Scalable Earth Grid (EASE-Grid) and an equatorial projection in a 10 km equidistant grid for the region between 60 N and 60 S.

NmAVCS1H

The Nimbus Advanced Vidicon Camera System Visible Imagery L1, HDF5 (NmAVCS1H) data set consists of black-and-white images captured by the Advanced Vidicon Camera Systems onboard the Nimbus 1 (1964) and Nimbus 2 (1966) satellites. Data are provided as HDF5-formatted files. Browse images are also available.

NmHRIR1H

The Nimbus High Resolution Infrared Radiometer Digital Swath Data L1, HDF data set (NmHRIR1H) consists of High Resolution Infrared Radiometer (HRIR) brightness temperatures obtained by the Nimbus 1, Nimbus 2, and Nimbus 3 satellites during 1964, 1966, and 1969. A correction has been applied to minimize seemingly random alignment errors that caused clouds edges and land features to appear jagged in the original 1960s data.

NmHRIR3G

This data set (NmHRIR3G) consists of daily composites constructed from Nimbus 1, Nimbus 2, and Nimbus 3 satellites High Resolution Infrared Radiometer (HRIR) data for the region between 60 N and 60 S. Measurements were obtained during 1964, 1966, and 1969. Data are available as GeoTIFFs and browse images. For the HDF5 formatted version of these data, see the Nimbus High Resolution Infrared Radiometer Remapped Digital Data Daily L3, HDF5 data set.

NmHRIR3H

This data set (NmHRIR3H) consists of daily, global composites of High Resolution Infrared Radiometer (HRIR) data obtained by the Nimbus 1, Nimbus 2, and Nimbus 3 satellites during 1964, 1966, and 1969. Each composite is provided as a set of three HDF5-formatted files: separate North and South Polar projections in the 10 km Equal-Area Scalable Earth Grid (EASE-Grid) and an equatorial projection in a 20 km equidistant grid for the region between 60 N and 60 S. Browse images are also available.

NmIcEdg2

This data set (NmIcEdg2) estimates the location of the North and South Pole sea ice edges at various times during the mid to late 1960s, based on recovered Nimbus 1 (1964), Nimbus 2 (1966), and Nimbus 3 (1969) visible imagery.

NmIDCS3G

This data set (NmIDCS3G) consists of daily, global image composites constructed from Nimbus 3 and Nimbus 4 Image Dissector Camera System (IDCS) imagery for the region between 60 N and 60 S. Images were acquired between 23 April, 1969 - 04 January, 1971. Data are available as GeoTIFFs and browse images. For HDF5 formatted version of these data, see Nimbus Image Dissector Camera System Remapped Visible Imagery Daily L3, HDF5.

NmIDCS3H

This data set (NmIDCS3H) consists of daily, global image composites constructed from Nimbus 3 and Nimbus 4 Image Dissector Camera System (IDCS) imagery captured from 23 April, 1969 - 04 April, 1971.

NmIDCS1H

The Nimbus Image Dissector Camera System Visible Imagery L1, HDF5 (NmIDCS1H) data set consists of black-and-white images captured by the Image Dissector Camera Systems (IDCSs) onboard the Nimbus 3 and Nimbus 4 satellites. Data are provided as HDF5-formatted files. Browse images are also available.

NmTHIR115-3G

This data set (NmTHIR115-3G) consists of daily, global composites of radiative temperatures obtained in the 11.5 µm window (10.5 µm - 12.5 µm) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. This window was used to measure cloud top or surface temperatures. Data files are GeoTIFF versions of the HDF-formatted equatorial projection file only from the Nimbus Temperature-Humidity Infrared Radiometer 11.5 µm Remapped Digital Data Daily L3, HDF5 (NmTHIR115-3H) data set.

NmTHIR115-3H

This data set (NmTHIR115-3H) consists of daily, global composites of radiative temperatures obtained in the 11.5 µm window (10.5 µm - 12.5 µm) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. The composites were constructed from Nimbus 4 THIR swath data and show cloud top or surface temperatures.

NmTHIR67-3G

This data set (NmTHIR67-3G) consists of daily, global composites of radiative temperatures obtained in the 6.7 µm water vapor window (6.5 µm - 7.0 µm) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. The THIR 6.7 µm window was used to map the water vapor distribution in the upper troposphere and stratosphere. Data files are GeoTIFF versions of the HDF-formatted equatorial projection file only from the Nimbus Temperature-Humidity Infrared Radiometer 6.7 µm Water Vapor Remapped Digital Data Daily, HDF5 (NmTHIR67-3H) data set.

NmTHIR67-3H

This data set (NmTHIR67-3H) consists of daily, global composites of radiative temperatures measured in the 6.7 µm water vapor window (6.5 µm - 7.0 µm) by the Temperature-Humidity Infrared Radiometer (THIR) onboard the Nimbus 4 satellite. The composites were constructed from Nimbus 4 THIR swath data and show water vapor distribution in the upper troposphere and stratosphere.

SPL3SMP_E

This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.

SPL1BTB

This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed.

SPL2SMA

This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) active radar during 6:00 a.m. descending half-orbit passes, as well as ancillary data such as surface temperature and vegetation water content. Input backscatter data used to derive soil moisture are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).

SPL2SMAP

This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).

SPL2SMP

This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data.

SPL3SMA

This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).

SPL3SMP

This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).

NSIDC-0712

SMAP radiometer and radar soil moisture data products are matched with in situ-based soil moisture estimates from core validation sites to produce this data set. These data provide performance assessments of various SMAP soil moisture products.

NSIDC-0800

The Soil Moisture Active Passive (SMAP, launched in 2015) and the Soil Moisture and Ocean Salinity (SMOS, launched in 2009) missions are each L-band satellites that provide brightness temperature and soil moisture estimates and vegetation optical depth approximately every 2-3 days with a spatial resolution of ~40 km. By integrating brightness temperature observations from both satellites, these data products reduce the revisit time to about one day, improving the ability to monitor fast-response processes such as groundwater drainage and recharge, early dry-down after storms, and pre-storm soil moisture conditions for runoff determination. The Integrated SMAP and SMOS Soil Moisture Data is available in two products. The SMOS-Based SMAP L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture (NSIDC-0799) product is generated by processing half-orbit granules (either 6 AM ascending or 6 PM descending) from the pre-processed SMOS product. The L2 product consists solely of SMOS-based data, incorporating information after SMOS brightness temperatures (TBs) at a 40° incidence angle were inter-calibrated and the soil moisture (SM) and vegetation optical depth (VOD) were retrieved using the SMAP Dual Channel Algorithm (DCA). The SMAP/SMOS L3 Radiometer 9 km EASE-Grid Soil Moisture (NSIDC-0800) product is generated by the processing software ingesting one day’s worth of granules from both the SMAP SPL2SMP_E product and the SMOS-derived L2 data. The L3 product contains both SMAP and SMOS descending (6:00 AM/PM) and ascending (6:00 PM/AM) data stored in separate arrays.

SV16I_TPSM

These data consist of calibrated soil moisture sensor measurements recorded by manual sampling teams at the field sites of SMAPVEX16-Iowa during two intensive observation periods in June and August of 2016. The sites were located throughout an experiment domain of about 30 km by 40 km approximately 30 km north of Ames, Iowa.

SV16I_PLTBSM

This product contains data derived from permanent in situ soil stations and observations by the Passive Active L-band System (PALS) microwave aircraft instrument. The PALS instrument was mounted to a DC-3 aircraft, which flew six parallel flight lines at an altitude of 3000 m in order to map a study area in South Fork, Iowa, United States. A total of 20 soil stations were distributed throughout this same area. The soil characteristics included in this data set are volumetric soil moisture, vertically and horizontally polarized brightness temperature, effective soil temperature, effective vegetation temperature, vegetation water content, land cover classification, sand and clay fraction, and volumetric soil moisture uncertainty estimates.

SV16I_PNET

These data consist of soil moisture, soil temperature and precipitation measurements recorded in 2016 by the permanent soil moisture network; SMAPVEX16-Iowa. The sites were spread out over the experiment domain of about 30km by 40 km located about 30 km north of Ames, Iowa, USA. The data file contains the soil moisture, soil temperature and precipitation measurements for each station located at the site.

SV16M_PLTBSM

This product contains data derived from permanent in situ soil stations and observations by the Passive Active L-band System (PALS) microwave aircraft instrument. The PALS instrument was mounted to a DC-3 aircraft, which flew six parallel flight lines at an altitude of 3000 m in order to map a 26 km x 48 km domain in Manitoba, Canada. Nine permanent soil stations were distributed throughout this same area. The soil characteristics included in this data set are volumetric soil moisture, vertically and horizontally polarized brightness temperature, effective soil temperature, effective vegetation temperature, vegetation water content, land cover classification, sand and clay fraction, and volumetric soil moisture uncertainty estimates.

SV19MA_LID

These lidar measurements were collected in April and August 2022 in the vicinity of Petersham, MA during the SMAPVEX19-22 campaign. This location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The two acquisition periods were selected to characterize differences during "leaf-off” and "leaf-on" conditions.

SV19MA_FOR

The SMAPVEX19-22 Massachusetts Field data (SV19MA_FOR) consists of forest tree inventory, biophysical, leaf area index (LAI), and estimated biomass data as well as photos collected between April and August 2022 in the vicinity of Petersham, Massachusetts during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. Over 500 trees of approximately 45 different species were sampled.

SV19MA_PAI

These data consist of plant area index (PAI) and the RGB images from which the PAI values were derived. Data image files were taken between April 2019 to December 2022 in the vicinity of Petersham, Massachusetts during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.

SV19MA_SAR

This data set consists of mosaicked Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) images corrected for terrain-flattened gamma. Data image files at three different polarization configurations were composited daily between April to July 2022 in the vicinity of Petersham, Massachusetts during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.

SV19MB_LID

These lidar measurements were collected in April and August 2022 in the vicinity of Millbrook, NY during the SMAPVEX19-22 campaign. This location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The two acquisition periods were selected to characterize differences during "leaf-off" and "leaf-on" conditions.

SV19MB_FOR

The SMAPVEX19-22 Millbrook Field data (SV19MB_FOR) consists of forest tree inventory, biophysical, leaf area index (LAI), and estimated biomass data as well as photos collected between April and August 2022 in the vicinity of Millbrook, New York during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. Over 500 trees of approximately 45 different species were sampled.

SV19MB_PAI

These data consist of plant area index (PAI) and the RGB images from which the PAI values were derived. Data image files were taken between April 2019 to December 2022 in the vicinity of Millbrook, New York during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.

SV19MB_SAR

This data set consists of mosaicked Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) images corrected for terrain-flattened gamma. Data image files at three different polarization configurations were composited daily between April to July 2022 in the vicinity of Millbrook, New York during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.

SNEX17_TLS_PC_BSU_Raw

This data set contains raw, unprocessed terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected in the fall (September 2016) and winter (February 2017). Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i).

SNEX17_TLS_PC_BSU

This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2016) and snow-on (February 2017) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). These TLS data can be used to determine snow depth and explore the interactions between snow and vegetation.

SNEX17_SnowPits

This data set contains measurements of snow temperature, density, stratigraphy, grain size, wetness, depth, and snow water equivalent (SWE) for snow pits at two study sites in Colorado, USA: Grand Mesa and Senator Beck Basin. Data were collected during the NASA SnowEx 2017 campaign.

SNEX17_DGNSS1

This data set contains the coordinates of SnowEx infrastructure in Grand Mesa, Colorado, collected through a differential GNSS real-time kinematic (RTK) survey. The surveys were conducted at 244 stakes along 90 transects, 31 snow pits, 24 time-lapse cameras, and 15 reference poles used to estimate snow depth from camera images. Data files report the name, location, elevation, horizontal and vertical precision, date and time, original easting and northing, and any relevant notes for each survey point. Readings were collected using a Trimble R8 GNSS base station and two rovers: a Trimble R8 (Hiemstra) and a Trimble R10 (Gelvin). Both rovers were deployed within approximately 6km of the base station and equipped with a GNSS antennae and a base-station radio antennae from which to receive corrections.

SNEX17_TLS_PC_CRREL

This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2017 SnowEx campaign. Data were collected in the fall (September and October) and winter (February) seasons. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), along with ancillary information, such as intensity (i) and color (R,G,B), where available. This is unprocessed data which has not been classified by land use (e.g. bare earth, low vegetation, trees).

SNEX17_SBR

This data set consists of surface-based radiometer (SBR) brightness temperatures of the snow surface and vegetation at Grand Mesa, CO, USA, acquired during NASA's 2017 SnowEx campaign. Four SBRs were deployed in the field and obtained measurements at 89, 37, 19, and 10.67 GHz in both vertical (V-pol) and horizontal (H-pol) polarizations. Data are available for 37 locations across Grand Mesa collected over five days in February, 2017. They include both 2-4 minute observations and 20 minute, continuous measurements during surface melt, with the latter designed to capture the brightness temperature increase caused by the presence of liquid water in the snow. This data set also contains snowfork measurements of snow wetness for 13 sites.

SNEX17_TLI

This data set contains time-lapse images. Cameras were placed around Grand Mesa, CO at 34 sites and around Senator Beck Basin, CO at one site, coincident with other SnowEx 2017 measurements, including the TLS scans, sonic snow depth arrays, weather stations, and local scale observation sites.

SNEX21_TS_SP

The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2021 field campaign. Between November 2020 and May 2021 data from 247 snow pits were collected at 24 unique sites distributed over 4 states (CO, ID, MT, UT) throughout the Western United States. Five of the unique sites had a single visit to establish baseline conditions, while the remaining 19 sites had 3 or more repeat visits throughout the season, with a median visit count of 11.5. On a weekly interval, a snow pit was dug approximately 1 m away from the previous week’s snow pit. Available measured parameters are: snow depth, snow temperature, snow density, stratigraphy, grain size, manual wetness, liquid water content (LWC), and snow water equivalent (SWE). Also available are photos of the field notes and snow pit sites.

SMAP_L4_C_ANC_SOC_RST

This ancillary SMAP product contains the yearly soil organic carbon (SOC) restart file. This file contains the area density of SOC at the start of the year, which is used to calculate daily SOC based on defined deposition and decay rates.

SWOT_POSTLAUNCH_L1_MOORING

The SWOT Postlaunch Oceanography Field Campaign L1 Moorings collection provides the surface air pressure, GPS, and conductivity, temperature and depth (CTD) measurements from moorings at the L1 processing level. The SWOT satellite mission launched in late 2022 and underwent a calibration and validation (cal/val) phase in 2023. As part of cal/val, an array of oceanographic instruments was deployed at a site 300 km offshore of California, including moorings at 11 distinct sites from February to October 2023.

L1 data are instrument data converted to physical units and merged with the relevant metadata. L1 data do not have adjustments to calibrations or scientific quality control applied. L1 data are meant for data provenance only, and are likely only to be useful to users involved in calibration issues.

SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXC_V1

This dataset includes simulated water surface elevations that resemble the Ka-band Interferometer (KaRIn) measurements by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. The simulated SWOT KaRIN swaths span 128 km in the cross-swath direction with a 20-km nadir gap. The primary product contains the following: 1. Geolocated elevations (latitude, longitude, and height) 2. Classification mask (water/land flags, and water fraction) 3. Surface areas (projected pixel area on the ground) 4. Relevant data needed to compute and aggregate height and area uncertainties. Additional information includes: 1. Meta data (global instrument parameters) 2. Time varying parameters (TVP), which include sensor position, velocity, altitude, and time 3. Noise power estimates 4. Quality flags 5. Interferogram measurements (power and phase) and range and azimuth indices 6. Geophysical and crossover-calibration correction values. These additional fields are provided to improve the utility of the product and to facilitate generation of downstream products. Note that this is a simulated SWOT product and not suited for any scientific exploration.

SWOT_SIMULATED_NA_CONTINENT_L2_HR_LAKESP_V1

This dataset contains a simulated lake product to be provided by the Surface Water and Ocean Topography (SWOT) mission with a focus on the North America continent. The product is derived from the high-rate (HR) measurements produced by the SWOT main instrument, a Ka-band Radar Interferometer. These data are produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. This product consists of three shapefiles: 1) an observation-oriented shapefile of lakes identified in the Prior Lake Database (PLD); 2) a PLD-oriented shapefile of lakes identified in the PLD; 3) a shapefile of unassigned features that have not been identified as a lake in the PLD nor as a river in the Prior River Database (PRD). Lake attributes include water surface elevation, area, and uncertainty estimates. The identified lake shapes inherit the SWOT swath width that is approximately 128 km wide in the cross-track direction with a 20-km nadir gap. Note that this is a simulated SWOT product and not suited for any scientific exploration.

SWOT_SIMULATED_NA_CONTINENT_L2_HR_RIVERSP_V1

This dataset contains a simulated river data product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this dataset is a subset for the North America continent. This product is derived from the measurements produced by the main SWOT instrument, the Ka-band Interferometer. They are produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. This product contains two shapefiles: 1) river reaches (approximately 10 km long) identified in the prior river database (PRD); and 2) river nodes (approximately 200 m spacing) identified in prior river database (PRD). Each river reach is divided into a number of nodes. Attributes include water surface elevation, slope, width, and uncertainty estimates. As they are derived from SWOT KaRIn measurements, each granule covers an area that is approximately 128 km wide in the cross-track direction with a 20-km nadir gap. Note that this is a simulated SWOT product and not suited for any scientific exploration.

LOCSS_L1_V1

This dataset contains data from the Lake Observations by Citizen Science and Satellites project, LOCSS which is a lake monitoring network. The data represent the location and main descriptors of the lake gauges and their readings. LOCSS project aims to collaborate with local citizens to monitor small and medium sized lakes (i.e., lakes with an average surface area less than 100 km2). At each location, a lake gauge is installed and provided with a cellphone number. Local citizens read the water level at each lake gauge and sent it in a text message. Data can also be manually collected and uploaded later from the website in remote places where cellphone signal is challenged. The readings are specified in cm, m, or ft, according to the local unit system. This version of the dataset has lakes located in seven (7) countries: Bangladesh, India, Canada, the United States, Pakistan, and Nepal. This product consists of two files in comma-separated values (csv) format : 1) the list of gauges whose attributes include gauge coordinates, installation dates, the height of the gauge, reading units, city, time zone, and installation notes; 2) list of readings by each gauge specified in the local time. To discover more details about LOCSS, please visit https://www.locss.org/.

Data Discovery

Explore this data using NASA's Earthdata Search, a comprehensive tool for discovering and visualizing Earth science datasets.

Data Access

Access requires an Earthdata Login account. Read our guide on obtaining AWS credentials to retrieve this data from AWS.

Update Frequency

Varies by dataset

License

Creative Commons BY 4.0

Documentation

https://nsidc.org/data/aq2_sm/versions/5

Managed By

See all datasets managed by NASA.

Contact

https://earthdata.nasa.gov/contact

How to Cite

NASA tes Project was accessed on DATE from https://registry.opendata.aws/nasa-tes.

Resources on AWS

  • Description
    AQ2_SM v5 - This data set contains Level-2 global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/AQUARIUS/AQ2_SM/5
    AWS Region
    us-west-2
  • Description
    AQ3_ANSM v5 - This data set contains Level-3 gridded annual global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/AQUARIUS/AQ3_ANSM/5
    AWS Region
    us-west-2
  • Description
    AQ3_DYSM v5 - This data set contains Level-3 gridded daily global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/AQUARIUS/AQ3_DYSM/5
    AWS Region
    us-west-2
  • Description
    AQ3_MCSM v5 - This data set contains Level-3 gridded monthly global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/AQUARIUS/AQ3_MCSM/5
    AWS Region
    us-west-2
  • Description
    AQ3_MOSM v5 - This data set contains Level-3 gridded monthly global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/AQUARIUS/AQ3_MOSM/5
    AWS Region
    us-west-2
  • Description
    AQ3_SCSM v5 - This data set contains Level-3 gridded seasonal global soil moisture climatology estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/AQUARIUS/AQ3_SCSM/5
    AWS Region
    us-west-2
  • Description
    AQ3_SNSM v5 - This data set contains Level-3 gridded seasonal global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/AQUARIUS/AQ3_SNSM/5
    AWS Region
    us-west-2
  • Description
    AQ3_WKSM v5 - This data set contains Level-3 gridded weekly global soil moisture estimates derived from the NASA Aquarius passive microwave radiometer on the Satélite de Aplicaciones Científicas (SAC-D).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/AQUARIUS/AQ3_WKSM/5
    AWS Region
    us-west-2
  • Description
    HMA_DTE v1 - This data set includes spatially distributed estimates of the debris thickness and sub-debris melt enhancement factors for every debris-covered glacier in the Randolph Glacier Inventory Version 6, excluding the ice sheets and Antarctic Periphery. The debris thickness estimates are derived using a novel approach that uses a combination of sub-debris melt inversion and surface temperature inversion methods.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/HMA/HMA_DTE/1
    AWS Region
    us-west-2
  • Description
    HMA_FreezeThawMelt_ASCAT v1 - This data set contains bulk landscape frozen or thawed status over seasonally frozen land, as well as snowmelt status over glacierized areas for the High Mountain Asia region. Daily Freeze/Thaw/Melt (F/T/M) status is derived from vertically polarized (V-pol) C-band (5.255 GHz) backscatter measurements that were acquired by the Advanced Scatterometer (ASCAT) on EUMETSAT Metop-A and Metop-B satellites.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/HMA/HMA_FreezeThawMelt_ASCAT/1
    AWS Region
    us-west-2
  • Description
    HMA_Precip_3B42 v1 - This data set features seven standard annual mean extreme precipitation indices: Rx1day, Rx5day, CWD, R10mm, R20mm, R95pTOT, and R99pTOT. They were selected on the basis of potential relevance to landslide activity from the 27 indices established by the joint CCl/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and Indices (ETCCDI).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/HMA/HMA_Precip_3B42/1
    AWS Region
    us-west-2
  • Description
    NSIDC-0545 v1 - This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including the Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/MEASURES/NSIDC-0545/1
    AWS Region
    us-west-2
  • Description
    NSIDC-0793 v1 - This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains monthly, 120 m resolution ice masks for the Greenland Ice Sheet from 1972 to 2022. The presence of ice was determined from 237,556 manually and AI-derived terminus positions acquired by satellite optical and radar observations.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/MEASURES/NSIDC-0793/1
    AWS Region
    us-west-2
  • Description
    NSIDC-0761 v1 - This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of three as-complete-as-possible mosaic maps of velocities on the Antarctic ice sheet for the time periods 1995–2001, 2007–2009, and 2014–2017. The maps are posted at 450 m in the WGS 84/Antarctic Polar Stereographic projection.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/MEASURES/NSIDC-0761/1
    AWS Region
    us-west-2
  • Description
    MWOW_L3_EPI_V0.1 v0.1 - This data set contains 6-hourly, global gridded wind speed and direction at 0.125 degree horizontal resolution from the MWOW (Multi-sensor Worldwide Ocean Winds) Project. It is a harmonized wind product combining retrievals from a variety of satellite-based instruments, including five scatterometers, one radiometer, and one synthetic aperture radar (SAR) for the Version 0.1 product.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::podaac-ops-cumulus-protected/MWOW_L3_EPI_V0.1
    AWS Region
    us-west-2
  • Description
    MWOW_L3_HIGHRES_EPI_V0.1 v0.1 - This data set contains 6-hourly, global gridded wind speed and direction at 1/64th degree horizontal resolution from the MWOW (Multi-sensor Worldwide Ocean Winds) Project. It is a harmonized wind product combining retrievals from the KaRIn satellite-based SAR (synthetic aperture radar) with interpolated data from five scatterometers and one radiometer for comparison where SAR data is available.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::podaac-ops-cumulus-protected/MWOW_L3_HIGHRES_EPI_V0.1
    AWS Region
    us-west-2
  • Description
    NmAVCS3G v1 - This data set (NmAVCS3G) consists of daily image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery for the region between 60 N and 60 S. Data are provided as GeoTIFFs.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmAVCS3G/1
    AWS Region
    us-west-2
  • Description
    NmAVCS3H v1 - This data set (NmAVCS3H) consists of daily, global image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery. Each composite is provided as a set of three HDF5-formatted files: separate North and South Polar projections in the 5 km Equal-Area Scalable Earth Grid (EASE-Grid) and an equatorial projection in a 10 km equidistant grid for the region between 60 N and 60 S.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmAVCS3H/1
    AWS Region
    us-west-2
  • Description
    NmAVCS1H v1 - The Nimbus Advanced Vidicon Camera System Visible Imagery L1, HDF5 (NmAVCS1H) data set consists of black-and-white images captured by the Advanced Vidicon Camera Systems onboard the Nimbus 1 (1964) and Nimbus 2 (1966) satellites. Data are provided as HDF5-formatted files.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmAVCS1H/1
    AWS Region
    us-west-2
  • Description
    NmHRIR1H v1 - The Nimbus High Resolution Infrared Radiometer Digital Swath Data L1, HDF data set (NmHRIR1H) consists of High Resolution Infrared Radiometer (HRIR) brightness temperatures obtained by the Nimbus 1, Nimbus 2, and Nimbus 3 satellites during 1964, 1966, and 1969. A correction has been applied to minimize seemingly random alignment errors that caused clouds edges and land features to appear jagged in the original 1960s data.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmHRIR1H/1
    AWS Region
    us-west-2
  • Description
    NmHRIR3G v1 - This data set (NmHRIR3G) consists of daily composites constructed from Nimbus 1, Nimbus 2, and Nimbus 3 satellites High Resolution Infrared Radiometer (HRIR) data for the region between 60 N and 60 S. Measurements were obtained during 1964, 1966, and 1969.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmHRIR3G/1
    AWS Region
    us-west-2
  • Description
    NmHRIR3H v1 - This data set (NmHRIR3H) consists of daily, global composites of High Resolution Infrared Radiometer (HRIR) data obtained by the Nimbus 1, Nimbus 2, and Nimbus 3 satellites during 1964, 1966, and 1969. Each composite is provided as a set of three HDF5-formatted files: separate North and South Polar projections in the 10 km Equal-Area Scalable Earth Grid (EASE-Grid) and an equatorial projection in a 20 km equidistant grid for the region between 60 N and 60 S.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmHRIR3H/1
    AWS Region
    us-west-2
  • Description
    NmIcEdg2 v1 - This data set (NmIcEdg2) estimates the location of the North and South Pole sea ice edges at various times during the mid to late 1960s, based on recovered Nimbus 1 (1964), Nimbus 2 (1966), and Nimbus 3 (1969) visible imagery.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmIcEdg2/1
    AWS Region
    us-west-2
  • Description
    NmIDCS3G v1 - This data set (NmIDCS3G) consists of daily, global image composites constructed from Nimbus 3 and Nimbus 4 Image Dissector Camera System (IDCS) imagery for the region between 60 N and 60 S. Images were acquired between 23 April, 1969 - 04 January, 1971.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmIDCS3G/1
    AWS Region
    us-west-2
  • Description
    NmIDCS3H v1 - This data set (NmIDCS3H) consists of daily, global image composites constructed from Nimbus 3 and Nimbus 4 Image Dissector Camera System (IDCS) imagery captured from 23 April, 1969 - 04 April, 1971.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmIDCS3H/1
    AWS Region
    us-west-2
  • Description
    NmIDCS1H v1 - The Nimbus Image Dissector Camera System Visible Imagery L1, HDF5 (NmIDCS1H) data set consists of black-and-white images captured by the Image Dissector Camera Systems (IDCSs) onboard the Nimbus 3 and Nimbus 4 satellites. Data are provided as HDF5-formatted files.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmIDCS1H/1
    AWS Region
    us-west-2
  • Description
    NmTHIR115-3G v1 - This data set (NmTHIR115-3G) consists of daily, global composites of radiative temperatures obtained in the 11.5 µm window (10.5 µm - 12.5 µm) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. This window was used to measure cloud top or surface temperatures.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmTHIR115-3G/1
    AWS Region
    us-west-2
  • Description
    NmTHIR115-3H v1 - This data set (NmTHIR115-3H) consists of daily, global composites of radiative temperatures obtained in the 11.5 µm window (10.5 µm - 12.5 µm) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. The composites were constructed from Nimbus 4 THIR swath data and show cloud top or surface temperatures.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmTHIR115-3H/1
    AWS Region
    us-west-2
  • Description
    NmTHIR67-3G v1 - This data set (NmTHIR67-3G) consists of daily, global composites of radiative temperatures obtained in the 6.7 µm water vapor window (6.5 µm - 7.0 µm) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. The THIR 6.7 µm window was used to map the water vapor distribution in the upper troposphere and stratosphere.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmTHIR67-3G/1
    AWS Region
    us-west-2
  • Description
    NmTHIR67-3H v1 - This data set (NmTHIR67-3H) consists of daily, global composites of radiative temperatures measured in the 6.7 µm water vapor window (6.5 µm - 7.0 µm) by the Temperature-Humidity Infrared Radiometer (THIR) onboard the Nimbus 4 satellite. The composites were constructed from Nimbus 4 THIR swath data and show water vapor distribution in the upper troposphere and stratosphere.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/NIMBUS/NmTHIR67-3H/1
    AWS Region
    us-west-2
  • Description
    SPL3SMP_E v006 - This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP/SPL3SMP_E/006
    AWS Region
    us-west-2
  • Description
    SPL1BTB v006 - This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP/SPL1BTB/006
    AWS Region
    us-west-2
  • Description
    SPL2SMA v003 - This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) active radar during 6:00 a.m. descending half-orbit passes, as well as ancillary data such as surface temperature and vegetation water content.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP/SPL2SMA/003
    AWS Region
    us-west-2
  • Description
    SPL2SMAP v003 - This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP/SPL2SMAP/003
    AWS Region
    us-west-2
  • Description
    SPL2SMP v009 - This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP/SPL2SMP/009
    AWS Region
    us-west-2
  • Description
    SPL3SMA v003 - This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP/SPL3SMA/003
    AWS Region
    us-west-2
  • Description
    SPL3SMP v009 - This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP/SPL3SMP/009
    AWS Region
    us-west-2
  • Description
    NSIDC-0712 v1 - SMAP radiometer and radar soil moisture data products are matched with in situ-based soil moisture estimates from core validation sites to produce this data set. These data provide performance assessments of various SMAP soil moisture products.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/NSIDC-0712/1
    AWS Region
    us-west-2
  • Description
    NSIDC-0800 v1 - The Soil Moisture Active Passive (SMAP, launched in 2015) and the Soil Moisture and Ocean Salinity (SMOS, launched in 2009) missions are each L-band satellites that provide brightness temperature and soil moisture estimates and vegetation optical depth approximately every 2-3 days with a spatial resolution of ~40 km. By integrating brightness temperature observations from both satellites, these data products reduce the revisit time to about one day, improving the ability to monitor fast-response processes such as groundwater drainage and recharge, early dry-down after storms, and pre-storm ...
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-Related/NSIDC-0800/1
    AWS Region
    us-west-2
  • Description
    SV16I_TPSM v1 - These data consist of calibrated soil moisture sensor measurements recorded by manual sampling teams at the field sites of SMAPVEX16-Iowa during two intensive observation periods in June and August of 2016. The sites were located throughout an experiment domain of about 30 km by 40 km approximately 30 km north of Ames, Iowa.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV16I_TPSM/1
    AWS Region
    us-west-2
  • Description
    SV16I_PLTBSM v1 - This product contains data derived from permanent in situ soil stations and observations by the Passive Active L-band System (PALS) microwave aircraft instrument. The PALS instrument was mounted to a DC-3 aircraft, which flew six parallel flight lines at an altitude of 3000 m in order to map a study area in South Fork, Iowa, United States.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV16I_PLTBSM/1
    AWS Region
    us-west-2
  • Description
    SV16I_PNET v1 - These data consist of soil moisture, soil temperature and precipitation measurements recorded in 2016 by the permanent soil moisture network; SMAPVEX16-Iowa. The sites were spread out over the experiment domain of about 30km by 40 km located about 30 km north of Ames, Iowa, USA.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV16I_PNET/1
    AWS Region
    us-west-2
  • Description
    SV16M_PLTBSM v1 - This product contains data derived from permanent in situ soil stations and observations by the Passive Active L-band System (PALS) microwave aircraft instrument. The PALS instrument was mounted to a DC-3 aircraft, which flew six parallel flight lines at an altitude of 3000 m in order to map a 26 km x 48 km domain in Manitoba, Canada.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV16M_PLTBSM/1
    AWS Region
    us-west-2
  • Description
    SV19MA_LID v1 - These lidar measurements were collected in April and August 2022 in the vicinity of Petersham, MA during the SMAPVEX19-22 campaign. This location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV19MA_LID/1
    AWS Region
    us-west-2
  • Description
    SV19MA_FOR v1 - The SMAPVEX19-22 Massachusetts Field data (SV19MA_FOR) consists of forest tree inventory, biophysical, leaf area index (LAI), and estimated biomass data as well as photos collected between April and August 2022 in the vicinity of Petersham, Massachusetts during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV19MA_FOR/1
    AWS Region
    us-west-2
  • Description
    SV19MA_PAI v1 - These data consist of plant area index (PAI) and the RGB images from which the PAI values were derived. Data image files were taken between April 2019 to December 2022 in the vicinity of Petersham, Massachusetts during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV19MA_PAI/1
    AWS Region
    us-west-2
  • Description
    SV19MA_SAR v1 - This data set consists of mosaicked Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) images corrected for terrain-flattened gamma. Data image files at three different polarization configurations were composited daily between April to July 2022 in the vicinity of Petersham, Massachusetts during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV19MA_SAR/1
    AWS Region
    us-west-2
  • Description
    SV19MB_LID v1 - These lidar measurements were collected in April and August 2022 in the vicinity of Millbrook, NY during the SMAPVEX19-22 campaign. This location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV19MB_LID/1
    AWS Region
    us-west-2
  • Description
    SV19MB_FOR v1 - The SMAPVEX19-22 Millbrook Field data (SV19MB_FOR) consists of forest tree inventory, biophysical, leaf area index (LAI), and estimated biomass data as well as photos collected between April and August 2022 in the vicinity of Millbrook, New York during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV19MB_FOR/1
    AWS Region
    us-west-2
  • Description
    SV19MB_PAI v1 - These data consist of plant area index (PAI) and the RGB images from which the PAI values were derived. Data image files were taken between April 2019 to December 2022 in the vicinity of Millbrook, New York during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV19MB_PAI/1
    AWS Region
    us-west-2
  • Description
    SV19MB_SAR v1 - This data set consists of mosaicked Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) images corrected for terrain-flattened gamma. Data image files at three different polarization configurations were composited daily between April to July 2022 in the vicinity of Millbrook, New York during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-VAL/SV19MB_SAR/1
    AWS Region
    us-west-2
  • Description
    SNEX17_TLS_PC_BSU_Raw v1 - This data set contains raw, unprocessed terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected in the fall (September 2016) and winter (February 2017).
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SNOWEX/SNEX17_TLS_PC_BSU_Raw/1
    AWS Region
    us-west-2
  • Description
    SNEX17_TLS_PC_BSU v1 - This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2016) and snow-on (February 2017) conditions, at both open and forested locations.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SNOWEX/SNEX17_TLS_PC_BSU/1
    AWS Region
    us-west-2
  • Description
    SNEX17_SnowPits v1 - This data set contains measurements of snow temperature, density, stratigraphy, grain size, wetness, depth, and snow water equivalent (SWE) for snow pits at two study sites in Colorado, USA: Grand Mesa and Senator Beck Basin. Data were collected during the NASA SnowEx 2017 campaign.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SNOWEX/SNEX17_SnowPits/1
    AWS Region
    us-west-2
  • Description
    SNEX17_DGNSS1 v1 - This data set contains the coordinates of SnowEx infrastructure in Grand Mesa, Colorado, collected through a differential GNSS real-time kinematic (RTK) survey. The surveys were conducted at 244 stakes along 90 transects, 31 snow pits, 24 time-lapse cameras, and 15 reference poles used to estimate snow depth from camera images.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SNOWEX/SNEX17_DGNSS1/1
    AWS Region
    us-west-2
  • Description
    SNEX17_TLS_PC_CRREL v1 - This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2017 SnowEx campaign. Data were collected in the fall (September and October) and winter (February) seasons.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SNOWEX/SNEX17_TLS_PC_CRREL/1
    AWS Region
    us-west-2
  • Description
    SNEX17_SBR v1 - This data set consists of surface-based radiometer (SBR) brightness temperatures of the snow surface and vegetation at Grand Mesa, CO, USA, acquired during NASA's 2017 SnowEx campaign. Four SBRs were deployed in the field and obtained measurements at 89, 37, 19, and 10.67 GHz in both vertical (V-pol) and horizontal (H-pol) polarizations.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SNOWEX/SNEX17_SBR/1
    AWS Region
    us-west-2
  • Description
    SNEX17_TLI v1 - This data set contains time-lapse images. Cameras were placed around Grand Mesa, CO at 34 sites and around Senator Beck Basin, CO at one site, coincident with other SnowEx 2017 measurements, including the TLS scans, sonic snow depth arrays, weather stations, and local scale observation sites.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SNOWEX/SNEX17_TLI/1
    AWS Region
    us-west-2
  • Description
    SNEX21_TS_SP v1 - The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2021 field campaign. Between November 2020 and May 2021 data from 247 snow pits were collected at 24 unique sites distributed over 4 states (CO, ID, MT, UT) throughout the Western United States.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SNOWEX/SNEX21_TS_SP/1
    AWS Region
    us-west-2
  • Description
    SMAP_L4_C_ANC_SOC_RST v1 - This ancillary SMAP product contains the yearly soil organic carbon (SOC) restart file. This file contains the area density of SOC at the start of the year, which is used to calculate daily SOC based on defined deposition and decay rates.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/SMAP-ANC/SMAP_L4_C_ANC_SOC_RST/1
    AWS Region
    us-west-2
  • Description
    SWOT_POSTLAUNCH_L1_MOORING v1 - The SWOT Postlaunch Oceanography Field Campaign L1 Moorings collection provides the surface air pressure, GPS, and conductivity, temperature and depth (CTD) measurements from moorings at the L1 processing level. The SWOT satellite mission launched in late 2022 and underwent a calibration and validation (cal/val) phase in 2023.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::podaac-ops-cumulus-protected/SWOT_POSTLAUNCH_L1_MOORING
    AWS Region
    us-west-2
  • Description
    SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXC_V1 v1.0 - This dataset includes simulated water surface elevations that resemble the Ka-band Interferometer (KaRIn) measurements by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::podaac-ops-cumulus-protected/SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXC_V1
    AWS Region
    us-west-2
  • Description
    SWOT_SIMULATED_NA_CONTINENT_L2_HR_LAKESP_V1 v1.0 - This dataset contains a simulated lake product to be provided by the Surface Water and Ocean Topography (SWOT) mission with a focus on the North America continent. The product is derived from the high-rate (HR) measurements produced by the SWOT main instrument, a Ka-band Radar Interferometer.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::podaac-ops-cumulus-protected/SWOT_SIMULATED_NA_CONTINENT_L2_HR_LAKESP_V1
    AWS Region
    us-west-2
  • Description
    SWOT_SIMULATED_NA_CONTINENT_L2_HR_RIVERSP_V1 v1.0 - This dataset contains a simulated river data product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this dataset is a subset for the North America continent.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::podaac-ops-cumulus-protected/SWOT_SIMULATED_NA_CONTINENT_L2_HR_RIVERSP_V1
    AWS Region
    us-west-2
  • Description
    LOCSS_L1_V1 v1.0 - This dataset contains data from the Lake Observations by Citizen Science and Satellites project, LOCSS which is a lake monitoring network. The data represent the location and main descriptors of the lake gauges and their readings.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::podaac-ops-cumulus-protected/LOCSS_L1_V1
    AWS Region
    us-west-2

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