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Snow/Ice Data Access and Tools
From discovery to visualization, data tools such as Application for Extracting and Exploring Analysis Ready Samples (AppEEARS), Snow Today, and Worldview guide users in making the most of snow and ice data.
Snow/Ice Datasets
| Dataset Sort descending | Version | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| 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 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 |
| 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 |
| ASO L4 Lidar Snow Water Equivalent 50m UTM Grid V001 | 1 | DHC-6, King Air | Riegl LMS-Q1560 | 2013-04-03 to 2019-07-16 |
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 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 |
50 Meters x 50 Meters | GeoTIFF |
| ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V006 | 006 | ICESat-2 | ATLAS | 2018-10-13 to Present |
N: 88 S: -88 E: 180 W: -180 |
1 Decimal Degrees x 1 Decimal Degrees | HDF5 |
| ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V006 | 006 | ICESat-2 | ATLAS | 2018-10-13 to Present |
N: 88 S: -88 E: 180 W: -180 |
2 Decimal Degrees x 2 Decimal Degrees | HDF5 |
| BOREAS AES Five-day Averaged Surface Meteorological and Upper Air Data | 1 | METEOROLOGICAL STATIONS | DEWPOINT HYDROMETERS, DRY BULB THERMOMETERS, VISUAL OBSERVATIONS, RAIN GAUGES, SNOW MEASURING ROD, WET BULB THERMOMETERS, BAROMETERS, ANEMOMETERS | 1976-01-01 to 1997-01-01 |
N: 57.35 S: 52.17 E: -97.83 W: -107.87 |
ASCII |
SHOWING 10 OF 251
Snow/Ice Data Tools
| Tool Sort descending | 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 |
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