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| Type: | Resource | |
| Storage: | The size of this resource is 8.5 KB | |
| Created: | Sep 10, 2021 at 5:10 p.m. | |
| Last updated: | Sep 13, 2021 at 8:12 p.m. (Metadata update) | |
| Published date: | Sep 13, 2021 at 8:12 p.m. | |
| DOI: | 10.4211/hs.46800976a58143cbbad11b9cd31d9e82 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1121 |
| Downloads: | 26 |
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Abstract
These datasets summarize field results of snow density, dielectric permittivity, and calorimeter-based liquid water content estimates. The field sites are the Jemez River Basin and Cameron Pass time series sites as part of the NASA SnowEx 2020 and 2021 time series data collection. Snow density observations were made using a 1000 cc wedge cutter and scale with 1 g precision. Dielectric permittivity observations were made with an A2 Photonics WISe sensor with a 325 cc volume of influence. The melt calorimeter observations were made to estimate liquid water content of 20-30 g snow samples taken from the WISe sensor volume; temperature precision was 0.01 degrees celsius and mass 1 g. Two datasets have been quality controlled and assessed to ensure accurate data are being reported. These data include the bulk average density and permittivity during dry snow conditions; and density, permitivitty, and liquid water content during isothermal and wet snow conditions.
Subject Keywords
Coverage
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Temporal
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Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Aeronautics and Space Agency | Developing an Improved Snow Liquid Water Content Algorithm | 80NSSC20K0921 |
| National Aeronautics and Space Agency | Constraining Airborne and Satellite Algorithms for Estimating Snow Water Equivalent through Spatially Extensive Ground Penetrating Radar Observations during NASA’s SnowEx Campaign | 80NSSC18K0877 |
| National Science Foundation | Extending the Vadose Zone: Characterizing the role of Snow for Liquid Water Storage and Transmission in Streamflow Generation | 1824152 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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