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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 | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| 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 V003 | 003 | ICESat-2 | ATLAS | 2018-10-13 to 2021-07-01 |
N: 90 S: -90 E: 180 W: -180 |
1 Decimal Degrees x 1 Decimal Degrees | HDF5 |
| ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V004 | 004 | ICESat-2 | ATLAS | 2018-10-13 to 2022-08-01 |
N: 90 S: -90 E: 180 W: -180 |
1 Decimal Degrees x 1 Decimal Degrees | HDF5 |
| 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 V003 | 003 | ICESat-2 | ATLAS | 2018-10-13 to 2021-07-01 |
N: 90 S: -90 E: 180 W: -180 |
2 Decimal Degrees x 2 Decimal Degrees | HDF5 |
| ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V004 | 004 | ICESat-2 | ATLAS | 2018-10-13 to 2022-08-01 |
N: 90 S: -90 E: 180 W: -180 |
2 Decimal Degrees x 2 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 | |
| BOREAS Derived Surface Meteorological Data | 1 | FIXED OBSERVATION STATIONS, METEOROLOGICAL STATIONS | THERMOCOUPLES, HUMIDITY SENSORS, WIND MONITOR, BAROMETERS, NET RADIOMETERS, PYRANOMETERS, RAIN GAUGES, ULTRASONIC DEPTH GAUGE, INFRARED THERMOMETERS, Pyrgeometer, LICOR QUANTUM SENSOR | 1994-01-01 to 1996-12-31 |
N: 56.25 S: 53.42 E: -97.23 W: -106.32 |
ASCII | |
| BOREAS Follow-On DSP-04 1994 ERS-1 Level-4 Landscape Freeze/Thaw Maps, Ver. 1.0 | 1 | ERS-1 | AMI | 1994-02-14 to 1994-12-14 |
N: 60 S: 48 E: -90 W: -111 |
Binary | |
| BOREAS HYD-03 Subcanopy Meteorological Data | 1 | METEOROLOGICAL STATIONS | WIND MONITOR, Pyrgeometer, HUMIDITY SENSORS, TEMPERATURE PROBES, INFRARED THERMOMETERS | 1994-02-06 to 1996-03-08 |
N: 53.99 S: 53.63 E: -104.69 W: -106.2 |
ASCII | |
| BOREAS RSS-08 BIOME-BGC Model Simulations at Tower Flux Sites in 1994 | 1 | NOT APPLICABLE | NOT APPLICABLE | 1994-01-01 to 1994-12-31 |
N: 55.9 S: 53.63 E: -98.29 W: -106.2 |
ASCII | |
| BOREAS RSS-08 Snow Maps Derived from Landsat TM Imagery | 1 | LANDSAT-5 | TM | 1993-01-18 to 1994-02-06 |
N: 54.78 S: 52.9 E: -103.43 W: -106.91 |
Binary | |
| BOREAS RSS-17 1994 ERS-1 Level-3 Freeze/Thaw Backscatter Change Images | 1 | ERS-1 | SAR | 1994-01-03 to 1994-03-19 |
N: 59.98 S: 50.09 E: -93.5 W: -111 |
Binary | |
| CALIPSO Lidar Level 2 Blowing Snow - Antarctica, V1-01 | V1-01 | CALIPSO | CALIOP | 2020-07-01 to 2022-01-19 | HDF5 | ||
| CARVE: Daily Thaw State of Boreal and Arctic Alaska from AMSR-E and SSM/I, 2003-2014 | 1.1 | ADEOS-II, DMSP | AMSR-E, SSM/I | 2003-01-01 to 2014-12-31 |
N: 74.399 S: 46.9946 E: -106.947 W: -179.999 |
netCDF-4 | |
| CERES Clouds and Radiative Swath TRMM Edition2C | Edition2C | TRMM | CERES-PFM | 1998-01-01 to 2000-03-31 | HDF4 | ||
| CryoSat-2 Level-4 Sea Ice Elevation, Freeboard, and Thickness V001 | 1 | CRYOSAT-2, DMSP 5D-3/F17 | SIRAL, SSMIS | 2010-09-20 to Present |
N: 90 S: 55 E: 180 W: -180 |
25 Kilometers x 25 Kilometers | PNG, netCDF-3 |
| Daily SnowModel Outputs Covering the ABoVE Core Domain, 3-km Resolution, 1980-2020 | 1 | MODELS | Computer | 1980-09-01 to 2020-08-31 |
N: 75.8357 S: 49.8038 E: -84.3282 W: -176.915 |
netCDF-4 classic | |
| ERS-1 Level 0 Product | 1 | ERS-1 | SAR | 1991-08-08 to 1997-09-29 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-1 Level 1 Product | 1 | ERS-1 | SAR | 1991-08-08 to 1997-09-29 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-2 Level 0 Product | 1 | ERS-2 | SAR | 1995-10-01 to 2011-07-04 |
N: 90 S: -90 E: 180 W: -180 |
||
| ERS-2 Level 1 Product | 1 | ERS-2 | SAR | 1995-10-01 to 2011-07-04 |
N: 90 S: -90 E: 180 W: -180 |
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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