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Snow Water Equivalent Data Access and Tools
From discovery to visualization, data tools such as Earthdata Search, HYDrologic Remote Sensing Analysis for Floods (HYDRAFloods), and Panoply guide users in making the most of snow water equivalent (SWE) data.
Snow Water Equivalent Datasets
| Dataset | Version Sort ascending | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| 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 |
| AMSR-E/Aqua 5-Day L3 Global Snow Water Equivalent EASE-Grids V002 | 2 | Aqua | AMSR-E | 2002-06-20 to 2011-10-03 |
N: 90 S: -90 E: 180 W: -180 |
25 Kilometers x 25 Kilometers | HDF-EOS2 |
| SnowEx17 Ground Penetrating Radar V002 | 2 | GROUND-BASED OBSERVATIONS | GPR | 2017-02-08 to 2017-02-25 |
N: 39.11115 S: 38.9935 E: -107.85785 W: -108.22367 |
ASCII | |
| NRT AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V2 | 2 | GCOM-W1 | AMSR2 | 2021-04-15 |
N: 90 S: -90 E: 180 W: -180 |
HDF-EOS5 | |
| ABoVE: Rain-on-Snow Frequency and Distribution during Cold Seasons, Alaska, 1988-2023 | 2 | Aqua, GCOM-W1, DMSP | AMSR-E, AMSR2, SSMIS | 1988-11-01 to 2023-03-31 |
N: 73.8339 S: 48.6232 E: -124.326 W: -175.397 |
COG | |
| 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/AMSR2 Unified L3 Global 5-Day 25 km EASE-Grid Snow Water Equivalent V001 | 1 | Aqua, GCOM-W1 | AMSR-E, AMSR2 | 2002-06-05 to 2011-10-02, 2012-07-02 to 2025-08-28 |
N: 90 S: -90 E: 180 W: -180 |
25 Kilometers x 25 Kilometers | HDF-EOS5 |
| SnowEx21 Time Series Snow Pits V001 | 1 | GROUND-BASED OBSERVATIONS | A2 Photonic_WISe, GPS, SNOW DENSITY CUTTER, THERMOMETERS | 2020-11-16 to 2021-05-27 |
N: 47.0607 S: 37.9071 E: -105.86093 W: -116.12351 |
CSV, Excel, JPEG | |
| SnowEx23 CRREL Ground Penetrating Radar V001 | 1 | GROUND-BASED OBSERVATIONS | GPR | 2023-03-08 to 2023-03-15 |
N: 68.64 S: 68.5257 E: -149.2186 W: -149.598 |
CSV | |
| 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 |
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