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Cryosphere Data Access and Tools

NASA data range from measuring the current and historical extent of snow and ice to tracking its formation and melting. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.

Cryosphere Datasets

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Dataset Version Platforms Instruments Temporal Extent Spatial Extent Spatial Resolution Data Format
AMSR-E/Aqua Daily L3 25 km Brightness Temperature & Sea Ice Concentration Polar Grids V004 4 Aqua AMSR-E 2002-06-01 to 2011-10-04

N: -39.23 S: -90 E: 180 W: -180

,

N: 90 S: 30.98 E: 180 W: -180

25 Kilometers x 25 Kilometers HDF-EOS5
AMSR-E/Aqua Daily L3 Global Snow Water Equivalent EASE-Grids V002 2 Aqua AMSR-E 2002-06-19 to 2011-10-03

N: 90 S: -90 E: 180 W: -180

25 Kilometers x 25 Kilometers HDF-EOS2
AMSR-E/Aqua Monthly L3 Global Snow Water Equivalent EASE-Grids V002 2 Aqua AMSR-E 2002-06-19 to 2011-10-01

N: 90 S: -90 E: 180 W: -180

25 Kilometers x 25 Kilometers HDF-EOS2
Aquarius L3 Weekly Polar-Gridded Brightness Temperature and Sea Surface Salinity V005 5 SAC-D AQUARIUS_RADIOMETER 2011-08-25 to 2015-06-04

N: 87.4 S: 50 E: 180 W: -180

,

N: -50 S: -79 E: 180 W: -180

36 Kilometers x 36 Kilometers HDF5, HDF5
Aquarius L3 Weekly Polar-Gridded Landscape Freeze/Thaw Data V005 5 SAC-D AQUARIUS_RADIOMETER 2011-08-25 to 2015-06-04

N: 87.4 S: 50 E: 180 W: -180

36 Kilometers x 36 Kilometers HDF
Aquarius L3 Weekly Polar-Gridded Normalized Radar Cross Section V005 5 SAC-D AQUARIUS_SCATTEROMETER 2011-08-25 to 2015-06-04

N: -50 S: -79 E: 180 W: -180

,

N: 87.4 S: 50 E: 180 W: -180

36 Kilometers x 36 Kilometers HDF5, HDF5
Aquarius L3 Weekly Polar-Gridded Sea Surface Salinity V005 5 SAC-D AQUARIUS_RADIOMETER 2011-08-25 to 2015-06-04

N: -50 S: -79 E: 180 W: -180

,

N: 87.4 S: 50 E: 180 W: -180

36 Kilometers x 36 Kilometers HDF5, HDF5
Arctic Vegetation Plots in Willow Communities, North Slope, Alaska, 1997 1 FIELD INVESTIGATION, FIELD SURVEYS BALANCE, PH METERS 1997-07-09 to 1997-08-17

N: 70.1878 S: 68.0331 E: -148.084 W: -149.851

CSV
ASO L4 Lidar Snow Depth 3m UTM Grid V001 1 DHC-6, King Air Riegl LMS-Q1560 2013-04-03 to 2019-10-10

N: 38.35197009 S: 38.34702501 E: -119.1465541 W: -119.1526326

,

N: 35.30827095 S: 34.84175616 E: -118.4895324 W: -118.9629908

,

N: 36.34419115 S: 36.26066776 E: -116.8080226 W: -116.8720138

,

N: 37.66784501 S: 37.62315324 E: -118.8966533 W: -118.9633777

,

N: 37.22534041 S: 36.65336263 E: -118.3217888 W: -119.1602728

,

N: 39.1707928 S: 38.70410623 E: -120.226893 W: -120.7784099

,

N: 37.66909751 S: 37.55343841 E: -118.9505367 W: -119.0738527

,

N: 38.19435311 S: 37.72826254 E: -119.186547 W: -119.8057568

,

N: 36.60719927 S: 36.57913838 E: -118.1711431 W: -118.1954763

,

N: 38.00096209 S: 37.88126056 E: -119.0973977 W: -119.3268503

,

N: 38.70477998 S: 38.2451699 E: -119.7120234 W: -120.5498287

,

N: 37.82021489 S: 37.7033706 E: -119.0372786 W: -119.2728401

,

N: 34.89283042 S: 34.77783945 E: -118.002307 W: -118.1399209

,

N: 39.46925434 S: 39.39914367 E: -120.223812 W: -120.3261438

,

N: 37.82737428 S: 36.96180713 E: -118.5442576 W: -119.733051

,

N: 38.19435311 S: 37.72826254 E: -119.186547 W: -119.8057568

,

N: 38.2410645 S: 37.72115314 E: -119.1836864 W: -119.9391373

,

N: 38.2451472 S: 37.53568061 E: -118.9505367 W: -119.9391373

,

N: 39.08139862 S: 38.75359563 E: -106.8593645 W: -107.1468517

,

N: 37.39120306 S: 36.99987095 E: -106.1673098 W: -106.710676

,

N: 38.87467886 S: 37.69229517 E: -107.3598092 W: -109.1308069

,

N: 39.2728431526 S: 38.7772370906 E: -107.525643057 W: -108.369145146

,

N: 37.98230157 S: 37.39058532 E: -106.4596899 W: -107.5708232

,

N: 38.20771619 S: 37.8841623 E: -107.562078 W: -107.9723537

,

N: 42.38520848 S: 42.2881819 E: -114.6804318 W: -114.7176046

,

N: 43.31809187 S: 43.05520107 E: -116.6802206 W: -116.8670348

,

N: 36.9129972 S: 36.43705955 E: -113.8795636 W: -114.3776573

,

N: 44.18033752 S: 43.90476142 E: -121.6276046 W: -121.8757381

,

N: 44.52793541 S: 44.31700873 E: -121.8134424 W: -122.1078409

,

N: 46.97583352 S: 46.72413964 E: -121.5709621 W: -121.9573479

,

N: 48.09085803 S: 47.4930029 E: -123.1287659 W: -124.1847181

,

N: 37.39260287 S: 37.37399023 E: -118.4109694 W: -118.4259857

,

N: 38.22396341 S: 38.20402645 E: -118.9948678 W: -119.0204053

,

N: 37.20269975 S: 37.13101764 E: -118.2969065 W: -118.4150135

,

N: 38.2329357 S: 37.96872691 E: -119.5873395 W: -119.9391373

3 Meters x 3 Meters GeoTIFF
ASO L4 Lidar Snow Depth 50m UTM Grid V001 1 DHC-6, King Air Riegl LMS-Q1560 2013-04-03 to 2019-07-16

N: 48.09085803 S: 47.4930029 E: -123.1287659 W: -124.1847181

,

N: 46.97583352 S: 46.72413964 E: -121.5709621 W: -121.9573479

,

N: 44.52793541 S: 44.31700873 E: -121.8134424 W: -122.1078409

,

N: 44.18033752 S: 43.90476142 E: -121.6276046 W: -121.8757381

,

N: 36.9129972 S: 36.43705955 E: -113.8795636 W: -114.3776573

,

N: 43.31809187 S: 43.05520107 E: -116.6802206 W: -116.8670348

,

N: 42.38520848 S: 42.2881819 E: -114.6804318 W: -114.7176046

,

N: 38.20771619 S: 37.8841623 E: -107.562078 W: -107.9723537

,

N: 37.98230157 S: 37.39058532 E: -106.4596899 W: -107.5708232

,

N: 39.2728431526 S: 38.7772370906 E: -107.525643057 W: -108.369145146

,

N: 38.87467886 S: 37.69229517 E: -107.3598092 W: -109.1308069

,

N: 37.39120306 S: 36.99987095 E: -106.1673098 W: -106.710676

,

N: 39.08139862 S: 38.75359563 E: -106.8593645 W: -107.1468517

,

N: 38.2451472 S: 37.53568061 E: -118.9505367 W: -119.9391373

,

N: 38.2410645 S: 37.72115314 E: -119.1836864 W: -119.9391373

,

N: 38.19435311 S: 37.72826254 E: -119.186547 W: -119.8057568

,

N: 37.82737428 S: 36.96180713 E: -118.5442576 W: -119.733051

,

N: 39.46925434 S: 39.39914367 E: -120.223812 W: -120.3261438

,

N: 34.89283042 S: 34.77783945 E: -118.002307 W: -118.1399209

,

N: 37.82021489 S: 37.7033706 E: -119.0372786 W: -119.2728401

,

N: 38.70477998 S: 38.2451699 E: -119.7120234 W: -120.5498287

,

N: 38.00096209 S: 37.88126056 E: -119.0973977 W: -119.3268503

,

N: 36.60719927 S: 36.57913838 E: -118.1711431 W: -118.1954763

,

N: 38.19435311 S: 37.72826254 E: -119.186547 W: -119.8057568

,

N: 37.66909751 S: 37.55343841 E: -118.9505367 W: -119.0738527

,

N: 39.1707928 S: 38.70410623 E: -120.226893 W: -120.7784099

,

N: 37.22534041 S: 36.65336263 E: -118.3217888 W: -119.1602728

,

N: 37.66784501 S: 37.62315324 E: -118.8966533 W: -118.9633777

,

N: 36.34419115 S: 36.26066776 E: -116.8080226 W: -116.8720138

,

N: 35.30827095 S: 34.84175616 E: -118.4895324 W: -118.9629908

,

N: 38.35197009 S: 38.34702501 E: -119.1465541 W: -119.1526326

,

N: 38.2329357 S: 37.96872691 E: -119.5873395 W: -119.9391373

,

N: 37.20269975 S: 37.13101764 E: -118.2969065 W: -118.4150135

,

N: 38.22396341 S: 38.20402645 E: -118.9948678 W: -119.0204053

,

N: 37.39260287 S: 37.37399023 E: -118.4109694 W: -118.4259857

50 Meters x 50 Meters GeoTIFF
SHOWING 10 OF 473

Cryosphere Data Tools

View All Data Tools
Tool Description Services
AppEEARS The The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers users a simple and efficient way to perform data access and transformation processes. Search and Discovery, Subsetting, Customization, Downloading, Visualization
GLIMS Glacier Database Visualize and download data from the GLIMS Glacier Database using the map-based GLIMS Glacier Viewer or search and download data using custom parameters in the GLIMS Text Search Interface. Downloading, Search and Discovery, Visualization
OpenAltimetry OpenAltimetry is a map-based visualization tool for exploring surface elevation data across Earth over time. Analysis, Search and Discovery, Visualization
RTC Stack Processor The radiometric terrain correction (RTC) stack processor tool facilitates time-series analysis of such phenomena as flooding events, deforestation, or glacier retreat. Analysis, Processing, Search and Discovery, Visualization
Vertex Vertex is a graphical search interface for finding synthetic aperture radar (SAR) data. Search and Discovery, Access, Downloading, Processing, Subsetting
SHOWING 5 OF 5

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