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ASC Data, No MERRA or MERRA2

Long Name Principle Investigator Description
Digital surface model (DSM) orthometric elevations in reference to the EGM96 geoid at 1 arcsecond spatial resolution Neigh_Goetz_Burns Digital surface model (DSM) generated using optical satellite stereo imagery from ALOS PRISM between 2006 and 2011. ALOS PRISM has a panchromatic spatial resolution of 2.5m which yielded a commercial DSM product at 5m spatial resolution. The publicly available product was resampled to approximately 30m (1 arcsecond). This product is a composite of multiple elevation models from different times (2006 to 2011) and represents the average elevation height in reference to the EGM96 geoid. Elevations referene the top of surfaces such as the top of tree canopies (NOT bare ground).
Freeze Thaw over ABoVE Domain from AMSR Josh_Fisher This dataset contains the AMSR Freeze Thaw Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 6km resolution GeoTiff for each month available within the AMSR operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected Freeze Thaw product at the following approximate resolutions: 0.25 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original AMSR data were obtained from the Numerical Terradynamic Simulation Group at the University of Montana.
ASTER Global Digital Elevation Model JetPropulsionLab The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) was developed jointly by the U.S. National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trad, and Industry (METI). ASTER is capable of collecting in-track stereo usig nadir- and aft-looking near infrared cameras. Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m). The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive. Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels. All cloud-screened DEMS are stacked and residual bad values and outliers are removed. Selected data are averaged to create final pixel values, and residual anomalies are corrected before partitioning the data into 1 degree (°) x 1° tiles. The ASTER GDEM covers land surfaces between 83°N and 83°S and is comprised of 22,702 tiles. Tiles that con at least 0.01% land area included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a 1 arc-second (approximately 30–m at the equator) grid an referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) eoid. While the ASTER GDEM 2 benefits from substantial improvements over GDEM 1, users are nonetheless advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications, because they can introduce large elevation errors on local scales. The data are provided “as is and neither NASA nor METI/ERSDAC will be responsible for any damages resulting from use o the data. V002 data set release date: 2009-06-28 Data Set Characteristics: Geographic Extent: Global between 83º latitude Scee Coverage: 1º x 1º tiles Image Dimensions: 3601 x 3601 Total Number Tiles: V001: 22,604; V002: 22,702 e Volume: ~25MB, 6.4 Mcompressed Compression Type: zip File Format: GEOTIFF Map Projection: Geographic Lat/Lon Datum: WGS84/EGM96 Resolution: 1 arcsecond (30-m horizontal posting at equator)
Elevation Datasets in Alaska ALASKA Intermap's DEM products are 3D raster datasets with elevations captured at 5-meter postings or every 5 meters. They are generated using Intermap's STAR technology (Interferometric Synthetic Aperture Radar), which is mounted to an aircraft. The Digital Terrain Model (DTM) data product represents the bare earth and is derived from the Digital Surface Model (DSM) using Intermap's proprietary algorithm and editing processes. Accuracy statements are based on unobstructed areas of moderately sloped terrain. Diminished accuracies are to be expected in areas of extreme terrain and dense vegetation. The DTM is stored as a contiguous dataset spanning continental land masses where we have captured data. It is available in specific areas of interest or in 15-minute by 15-minute tile areas. For more detailed information, refer to Intermap's Product Handbook.
Digital surface model (DSM) ellipsoidal elevations in reference to the WGS 1984 ellipsoid at 2 meters spatial resolution that have been co-registered to ICEsat elevation points Neigh_Goetz_Burns Digital surface model (DSM) generated using optical satellite stereo imagery from GeoEye and WorldView satellites. Image pairs and their associated acquisition geometry are used to generate surface elevations, usually for a single date. Elevations are in reference to the WGS 1984 ellipisoid. Elevations referene the top of surfaces such as the top of tree canopies (NOT bare ground). These strip elevation models have been automatically registered to temporally coincident ICEsat point elevations.
Active Layer Thickness over ABoVE Domain from Circumpolar Active Layer Monitoring (CALM) Josh_Fisher his dataset contains the Circumpolar Active Layer Monitoring (CALM) Active Layer Thickness Product, re-projected to the ABoVE Grid and Projection to produce a 1km resolution GeoTiff for each year of available data. The GeoTiffs were then spatially averaged to form NetCDF files of the re-projected Active Layer Thickness product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original CALM data were obtained from the CALM website.
Net Ecosystem Exchange (NEE) from Polar-VPRM, constrained by Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) CO2 measurements over ABoVE Domain Josh_Fisher This dataset contains the CARVE-constrained Net Ecosystem Exchange (NEE) Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 0.5 degree resolution NetCDF file of the monthly NEE product. The original CARVE-constrained NEE data were obtained from the output of the Polar-VPRM model, and constrained by CARVE CO2 data, as described in Commane et al 2017. Citation: Commane, R., Lindaas, J., Benmergui, J., Luus, K. A., Chang, R. Y.-W., Daube, B.C., ... Wofsy, S. C. (2017). Carbon dioxide sources from Alaska driven by increasing early winter respiration from Arctic tundra. Proceedings of the National Academy of Sciences, 114(21), 5361-5366. https://doi.org/10.1073/pnas.1618567114
The Calibrated Enhanced Resolution Brightness Temperature (CETB) data set consists of gridded passive microwave brightness temperature data from SMMR, SSM/I, SSMIS and AMSR-E in the EASE-Grid 2.0 definition Laura_Prugh The data are a new, multi-sensor Level 3 Earth Science Data Record (ESDR) with recently released improvements in cross-sensor calibration and quality checking, modern file formats, better quality control, improved projection grids, and local time-of-day (ltod) processing. These data are gridded to the EASE-Grid 2.0 definition and include enhanced-resolution imagery, as well as coarse-resolution, averaged imagery.
Digital Elevation Model in Canada, put into the ABoVE grid and projection Natural_Resources_Canada The Canadian Digital Elevation Model (CDEM) is part of Natural Resources Canada's altimetry system designed to better meet the users' needs for elevation data and products. The CDEM stems from the existing Canadian Digital Elevation Data (CDED). In these data, elevations can be either ground or reflective surface elevations. A CDEM mosaic can be obtained for a pre-defined or user-defined extent The coverage and resolution of a mosaic varies according to latitude and to the extent of the requested area. Derived products such as slope, shaded relief and colour shaded relief maps can also be generated on demand. The pre-packaged GeoTif datasets are based on the National Topographic System of Canada (NTS) at the 1:250 000 scale; the NTS index file is available in the Data Resources section(Shape, KML). http://open.canada.ca/data/en/dataset/7f245e4d-76c2-4caa-951a-45d1d2051333
Monthly Precipitation over ABoVE Domain from Daymet Josh_Fisher This dataset contains the Daymet Precipitation Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the Daymet operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected precipitation product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original Daymet data were obtained from the Oak Ridge National Laboratory DAAC.
Monthly Average of Daily Maximum Air Surface Temperature over ABoVE Domain from Daymet Josh_Fisher This dataset contains the Daymet Maximum Air Surface Temperature Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the Daymet operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected air surface temperature product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original Daymet data were obtained from the Oak Ridge National Laboratory DAAC.
Monthly Average of Daily Minimum Air Surface Temperature over ABoVE Domain from Daymet Josh_Fisher This dataset contains the Daymet Minimum Air Surface Temperature Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the Daymet operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected air surface temperature product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original Daymet data were obtained from the Oak Ridge National Laboratory DAAC.
Monthly Vapor Pressure over ABoVE Domain from Daymet Josh_Fisher This dataset contains the Daymet Vapor Pressure Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the Daymet operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected vapor pressure product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original Daymet data were obtained from the Oak Ridge National Laboratory DAAC.
Fractional open water cover for the ABoVE domain & pan-Arctic region, 2002-2015 John_S._Kimball This data set provides land surface fractional open water (fw) inundation dynamics over the Arctic-Boreal Vulnerability Experiment (ABoVE) domain and pan-Arctic region for the period 2002-2015. The data were developed using high frequency (89 GHz) brightness temperatures (Tb) from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanning Radiometer 2 (AMSR2), with other ancillary inputs from AMSR-E/AMSR2 25 km products and MODIS (Moderate Resolution Imaging Spectroradiometer). The data are at 10-day temporal fidelity and 5 km spatial resolution.
GNWT Lidar Data Colin_Avey Lidar data for three areas in the Mackenzie Delta area of the Northwest Terrirtories provided by Government of the Northwest Territories Geomatics. The Lidar data were collected for three purposes/groups: 1) LiDAR_DoT_ITH_2011_McElh: by the Department of Transportation for the road from Inuvuk to Tuktoyyaktuk (2011), 2) LiDAR_MackDelta_2004_AirbourneImg: for the Mackenzie Delta area (2004), and 3) GSCan_2004: for the Kittigazuit Bay, Langley Island, and Mallik Sites (2004). This dataset is accessible on the science cloud for ABoVE researchers, but prior to access, ABoVE researchers need to fill out a Data Transfer agreement. Contact elizabeth.hoy@nasa.gov for details.
Circumpolar Vegetation Dynamics Product for Global Change Study ChenJing Land surface phenology (LSP) and vegetation growth of the circumpolar north are changing in response to more pronounced warming in the region. The first phenology index (PI) based vegetation dynamics product, comprising start (SOS), end (EOS), length of growing season (LOS), and growing season integrated annual\nnormalized difference vegetation index (NDVI), specifically designed for the entire circumpolar north (N45°N) using SPOT VGT data starting from 1999. PI combines the merits of NDVI and normalized difference infrared index (NDII) by taking the difference of squared greenness (from NDVI) and wetness (from NDII) to remove the soil and snow cover dynamics from key vegetation LSP cycles.
Circumpolar Vegetation Dynamics Product for Global Change Study GonsamoAlemu Land surface phenology (LSP) and vegetation growth of the circumpolar north are changing in response to more pronounced warming in the region. The first phenology index (PI) based vegetation dynamics product, comprising start (SOS), end (EOS), length of growing season (LOS), and growing season integrated annual\nnormalized difference vegetation index (NDVI), specifically designed for the entire circumpolar north (N45°N) using SPOT VGT data starting from 1999. PI combines the merits of NDVI and normalized difference infrared index (NDII) by taking the difference of squared greenness (from NDVI) and wetness (from NDII) to remove the soil and snow cover dynamics from key vegetation LSP cycles.
Landsat and Sentinel-2 harminized product Jeff_Masek The combination of Landsat and Sentinel-2 data offers a unique opportunity to observe globally the land every 2-3 days at medium (<30m) spatial resolution. The Harmonized Landsat-Sentinel-2 (HLS) project is a NASA initiative to produce a consistent, harmonized surface reflectance product from Landsat and Sentinel-2 data. In this context a “harmonized” reflectance product means that necessary radiometric, spectral, geometric, and spatial corrections have been applied to create a seamless time series, such that it is transparent to the user which sensor contributed any particular observation. It is also desirable that the harmonized products share a common gridding & tiling system, such that they are “stackable”. Note: current HLS products (as of June 2016) are preliminary and unvalidated.
Soil Carbon over ABoVE Domain from the International Soil Carbon Network (ISCN) Josh_Fisher This dataset contains the International Soil Carbon Network (ISCN) Soil Carbon Product, re-projected to the ABoVE Grid and Projection to produce a 1km resolution GeoTiff. The GeoTiff was then spatially averaged to form a NetCDF file of the re-projected Soil Carbon product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original ISCN data were obtained from the ISCN website.
Landsat 4-5 Thematic Mapper LandsatScienceTeam The Landsat Thematic Mapper (TM) is a sensor carried onboard Landsats 4 and 5 and has acquired images of the Earth nearly continuously from July 1982 to the present, with a 16-day repeat cycle. Landsat TM image data consist of seven spectral bands (band designations) with a spatial resolution of 30 meters for bands 1 to 5 and band 7. Spatial resolution for band 6 (thermal infrared) is 120 meters, but band 6 data are oversampled to 30 meter pixel size. Approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi). Systematic Correction (Level 1G) includes both radiometric and geometric correction. The scene will be rotated, aligned, and georeferenced to a user-specified map projection. Absolute geometric accuracy of the systematically corrected Landsat TM product can vary, depending on the accuracy of the predicted ephemeris that is used for processing. Please be aware that TM Level 1G products may require additional image geometric correction and/or co-registration to known ground control points (GCPs). Precision Correction (Level 1P) includes radiometric and geometric correction, as well as the use of ground control points (GCPs) to improve geometric accuracy. For locations outside the United States, accuracy of the precision-corrected product will depend on the availability of local GCPs. Terrain Correction (Level 1T) includes radiometric and geometric precision correction, as well as the use of a digital elevation model (DEM) to improve the satellite model and to correct for relief displacement caused by local terrain. For locations outside the United States, the accuracy of a terrain-corrected product will depend on the availability of local ground control points (GCPs), as well as the quality of the best available DEM.
Landsat 7 Enhanced Thematic Mapper Plus (ETM+) LandsatScienceTeam The Landsat Enhanced Thematic Mapper Plus (ETM+) is a sensor carried onboard the Landsat 7 satellite and has acquired images of the Earth nearly continuously since July 1999, with a 16-day repeat cycle. Landsat ETM+ image data consist of eight spectral bands (band designations), with a spatial resolution of 30 meters for bands 1 to 5 and band 7. Resolution for band 6 (thermal infrared) is 60 meters and resolution for band 8 (panchromatic) is 15 meters. Approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi). The Level 0R data product is reformatted raw data. Reformatting involves shiftin pixels by integer amounts to correct for three effects: 1) the alternating forward-reverse scanning pattern of the Landsat ETM+ sensor; 2) the odd-even detector arrangement within each band; and 3) the detector offsets inherent in engineering design of the focal plane array. Pixels in L0R images are not resampled, nor are they geometrically corrected or registered, which means that the pixels are NOT aligned per scan line. The Level 1T (L1T) data product provides systematic radiometric accuracy, geometric accuracy by incorporating ground control points, while also employing a Digital Elevation Model (DEM) for topographic accuracy. Geodetic accuracy of the product depends on the accuracy of the ground control points and the resolution of the DEM used.
MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid EricFVermote MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid
Evapotranspiration over ABoVE Domain from MODIS Josh_Fisher This dataset contains the MOD16A2 Evapotranspiration Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the MODIS operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected Evapotranspiration product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original MOD16A2 data were obtained from the Numerical Terradynamic Simulation Group at the University of Montana.
Grodd Primary Production (GPP) over ABoVE Domain from MODIS Josh_Fisher This dataset contains the MOD17A2 Gross Primary Production (GPP) Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the MODIS operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected GPP product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original MOD17A2 data were obtained from the Numerical Terradynamic Simulation Group at the University of Montana.
Leaf Area Index (LAI) over ABoVE Domain from MODIS Josh_Fisher This dataset contains the MOD15A2H Leaf Area Index (LAI) Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the MODIS operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected LAI product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original MOD15A2H data were obtained from the LPDAAC.
MODIS Land Surface Temperature on ABoVE Grid Josh_Fisher This dataset contains the MOD11A2 Land Surface Temperature Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the MODIS operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected land surface temperature product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original MOD11A2 data were obtained from the LPDAAC.
Normalized Difference Vegetation Index (NDVI) over ABoVE Domain from MODIS Josh_Fisher This dataset contains the MOD13A3 Normalized Difference Vegetation Index (NDVI) Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the MODIS operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected NDVI product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original MOD13A3 data were obtained from the LPDAAC.
MODIS-derived Snow Metrics Chuck_Lindsay The National Park Service and Geographic Information Network of Alaska (GINA) are developing an algorithm to derive snow cover climatology for Alaska using the Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover daily product. The algorithm is two-fold and involves both data processing and the derivation of snow cover metrics. Terra MODIS snow cover daily 500m grid data (MOD10A1) are processed to reduce cloud obscuration through iterations of cloud reduction methods that include spatial, temporal, and snow cycle filtering. MRT tool is used to mosaic daily tile files and re-sample the data. A total of 12 metrics (e.g. date of first snow, date of persistent snow cover) for each pixel are calculated. IDL with ENVI subroutines were used to develop the algorithm.
MODIS-derived Snow Metrics Jiang_Zhu The National Park Service and Geographic Information Network of Alaska (GINA) are developing an algorithm to derive snow cover climatology for Alaska using the Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover daily product. The algorithm is two-fold and involves both data processing and the derivation of snow cover metrics. Terra MODIS snow cover daily 500m grid data (MOD10A1) are processed to reduce cloud obscuration through iterations of cloud reduction methods that include spatial, temporal, and snow cycle filtering. MRT tool is used to mosaic daily tile files and re-sample the data. A total of 12 metrics (e.g. date of first snow, date of persistent snow cover) for each pixel are calculated. IDL with ENVI subroutines were used to develop the algorithm.
Snow Cover over ABoVE Domain from MODIS Josh_Fisher This dataset contains the MOD10A1 Snow Cover Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the MODIS operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected snow cover product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original MOD10A1 data were obtained from the NSIDC DAAC.
Soil Carbon over ABoVE Domain from the Northern Circumpolar Soil Carbon Database (NCSCD) Josh_Fisher This dataset contains the Northern Circumpolar Soil Carbon Database (NCSCD) Soil Carbon Product, re-projected to the ABoVE Grid and Projection to produce a 1km resolution GeoTiff. The GeoTiff was then spatially averaged to form a NetCDF file of the re-projected Soil Carbon product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original NCSCD data were obtained from the NCSCD website.
Solar-Induced Fluorescence over ABoVE Domain from OCO2 Josh_Fisher This dataset contains the Orbiting Carbon Observatory (OCO2) Solar-induced Fluorescence (SIF) Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the OCO2 operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected SIF product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original OCO2 data were obtained from the NASA GESDISC repository.
Column-Integrated CO2 over ABoVE Domain from OCO2 Josh_Fisher This dataset contains the Orbiting Carbon Observatory (OCO2) column-Integrated CO2 (XCO2) Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 1km resolution GeoTiff for each month available within the OCO2 operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected XCO2 product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original OCO2 data were obtained from the NASA GESDISC repository.
Pre-ABoVE: Remotely Sensed Active Layer Thickness, Prudhoe Bay, Alaska, 1992-2000 KevinSchaefer Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 1992 to 2000 for an area near Prudhoe Bay, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT measurements at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain.These data provide gridded (100-m) estimates of active layer thickness (cm; ALT), seasonal subsidence (cm) and subsidence trend (mm/yr), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA&apos;s Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.The data are presented in one netCDF (*.nc) file. .
Pre-ABoVE: Remotely Sensed Active Layer Thickness, Prudhoe Bay, Alaska, 1992-2000 LinLiu Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 1992 to 2000 for an area near Prudhoe Bay, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT measurements at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain.These data provide gridded (100-m) estimates of active layer thickness (cm; ALT), seasonal subsidence (cm) and subsidence trend (mm/yr), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA&apos;s Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.The data are presented in one netCDF (*.nc) file. .
Pre-ABoVE: Remotely Sensed Active Layer Thickness, Barrow, Alaska, 2006-2011 KevinSchaefer Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 2006 to 2011 for the region near Barrow, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT obtained using probing and Ground Penetrating Radar at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain. These data provide gridded (30-m) estimates of active layer thickness (cm; ALT) and seasonal subsidence (cm), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.
Pre-ABoVE: Remotely Sensed Active Layer Thickness, Barrow, Alaska, 2006-2011 LinLiu Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 2006 to 2011 for the region near Barrow, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT obtained using probing and Ground Penetrating Radar at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain. These data provide gridded (30-m) estimates of active layer thickness (cm; ALT) and seasonal subsidence (cm), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.
Freeze Thaw over ABoVE Domain from SMAP Josh_Fisher This dataset contains the SMAP Freeze Thaw Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 9km resolution GeoTiff for each month available within the SMAP operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected Freeze Thaw product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original SMAP data were obtained from the NSIDC DAAC.
Soil Moisture over ABoVE Domain from SMAP Josh_Fisher This dataset contains the SMAP Soil Moisture Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 9km resolution GeoTiff for each month available within the SMAP operating timeline. The GeoTiffs were then concatenated temporally and spatially averaged to form a NetCDF file of the re-projected Soil Moisture product at the following approximate resolutions: 0.1 degrees, 0.2 degrees, 0.25 degrees, 0.4 degrees, 0.5 degrees, 1 degree, 2 degrees, 2.5 degrees, and 5 degrees. The original SMAP data were obtained from the NSIDC DAAC.
Digital Elevation Model in Alaska, put into the ABoVE grid and projection USGS The National Elevation Dataset (NED) is the primary elevation data product of the USGS. The NED is a seamless dataset with the best available raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands. The NED is updated on a nominal two month cycle to integrate newly available, improved elevation source data. All NED data are public domain.The NED is derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. All elevation values are in meters. In most of Alaska, only lower resolution source data are available. As a result, most NED data for Alaska are at 2-arc-second (about 60 meters) grid spacing. Part of Alaska is available at the 1- and 1/3-arc-second resolution, and plans are in development for a significant improvement in elevation data coverage of the state. The NED serves as the elevation layer of The National Map, and provides basic elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use NED data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. https://lta.cr.usgs.gov/NED
Decadal surface water maps 1991-2011 CarrollMark Maps of the location and extent of surface water for the ABoVE study region at decadal time step from 1991 - 2011. Data are stored in raster files (geotiff) in the ABoVE tile grid.
Methane (CH4) Flux from WetCHARTs over ABoVE Domain Josh_Fisher This dataset contains the WetCHARTs Wetland Methane (CH4) Flux Product, re-projected to the ABoVE Grid and Projection, and temporally-averaged to produce a 0.5 degree resolution NetCDF file of the monthly CH4 product. The original CH4 data were obtained from the output of the WetCHARTs ensemble as described in Bloom et al 2017. Citation: Bloom, A. A., Bowman, K. W., Lee, M., Turner, A. J., Schroeder, R., Worden, J. R., ... Jacob, D. J. (2017). A global wetland methane emissions and unctertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0). Geosci. Model Dev., 10(6), 2141-2156. https://doi.org/10.5194/gmd-10-2141-2017
Digital surface models (DSMs) of elevation from DigitalGlobe satellites Chris_Neigh Individual DSM strips (~ 17 km x 120 km) from high resolution (sub-meter) spaceborne images (HRSI) across the ABoVE and Eurasian northern boreal (Circumpolar North) domain. These DSMs sample domain surfaces and, depending on vegetation cover and sun-sensor-target geometry, can capture ground, near-ground, and/or vegetation surface elevations. Recent footprints of individual DSM coverage are here: /att/pubrepo/DEM/hrsi_dsm/_footprints/HRSI_DSM_footprints_<YYYYMMDD>