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Snow Depth Data Access and Tools
From discovery to visualization, data tools such as Earthdata Search, Worldview, and Panoply guide users in making the most of snow depth data.
Snow Depth Datasets
| Dataset Sort descending | Version | Platforms | Instruments | 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 |
| BOREAS AES Canadian Hourly and Daily Surface Meteorological Data, R1 | 2 | METEOROLOGICAL STATIONS | SNOW MEASURING ROD, TEMPERATURE LOGGERS, HUMIDITY SENSORS, RAIN GAUGES, WIND MONITOR, VISUAL OBSERVATIONS, BAROMETERS, ANEMOMETERS, DEWPOINT HYDROMETERS, DRY BULB THERMOMETERS, WET BULB THERMOMETERS | 1975-01-01 to 1997-01-01 |
N: 57.35 S: 52.17 E: -97.83 W: -107.87 |
Binary | |
| 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 HMet-04 1996-1998 NSA Meteorological Data | 1 | METEOROLOGICAL STATIONS | BAROMETERS, NET RADIOMETERS, PYRANOMETERS, LICOR QUANTUM SENSOR, RAIN GAUGES, TEMPERATURE PROBES, ULTRASONIC DEPTH GAUGE, WIND MONITOR, TEMPERATURE SENSORS, HUMIDITY SENSORS, INFRARED THERMOMETERS | 1994-01-01 to 1999-01-01 |
N: 60 S: 48 E: -90 W: -111 |
CSV | |
| BOREAS HYD-03 Snow Depth Data: 1996 | 1 | FIELD INVESTIGATION | SNOW MEASURING ROD | 1996-02-29 to 1996-03-11 |
N: 53.99 S: 53.63 E: -104.69 W: -106.2 |
ASCII | |
| BOREAS HYD-03 Snow Pit Measurements: 1996 | 1 | FIELD INVESTIGATION | SNOW MEASURING ROD | 1996-02-29 to 1996-03-12 |
N: 53.99 S: 53.58 E: -104.69 W: -106.2 |
ASCII | |
| BOREAS HYD-03 Snow Water Equivalent Data | 1 | FIELD INVESTIGATION | SNOW DENSITY CUTTER, SNOW TUBE, SNOW MEASURING ROD | 1994-02-05 to 1994-04-27 |
N: 55.93 S: 53.56 E: -97.82 W: -106.2 |
ASCII | |
| BOREAS HYD-03 Snow Water Equivalent: 1996 | 1 | FIELD INVESTIGATION | SNOW TUBE, SNOW DENSITY CUTTER, SNOW MEASURING ROD | 1996-02-29 to 1996-03-05 |
N: 55.93 S: 53.58 E: -97.82 W: -106.19 |
ASCII |
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Snow Depth Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| Earthdata Search | Earthdata Search enables data discovery, search, comparison, visualization, and access across NASA’s Earth science data holdings. | Search and Discovery, Access, Cataloging, Cloud Computing, Downloading | |
| Worldview | Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. | Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events |
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