SWEML
| Authors: | |
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| Owners: | Elkin Romero |
| Type: | Resource |
| Storage: | The size of this resource is 14 bytes |
| Created: | May 20, 2025 at 4:42 a.m. |
| Last updated: | May 25, 2025 at 1:21 a.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 48 |
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Abstract
The current iteration of the SWEML produces 11,000 1 km SWE inferences for select locations throughout the Western U.S. plus the Upper Colorado River Basin. There is a heavy focus on SWE inferences in the Sierra Nevada mountains, Colorado Rockies, and Wind River Range in Wyoming. The NSM pipeline assimilates nearly 700 snow telemetry (SNOTEL) and California Data Exchange Center (CDEC) sites and combines them with processed lidar-derived terrain features for the prediction of a 1 km x 1 km SWE inference in critical snowsheds. The ML pipeline retrieves all SWE observations from SNOTEL and CDEC snow monitoring locations for the date of interest and processes the SWE observations into a model-friendly data frame alongside lidar-derived terrain features, seasonality metrics, previous SWE estimates, and location. SWEML predicts SWE using a uniquely trained multilayered perceptron network model for each region and supports an interactive visualization of the SWE estimates across the western U.S.
Subject Keywords
Coverage
Temporal
| Start Date: | 05/19/2025 |
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| End Date: | 05/19/2025 |
Content
Additional Metadata
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration (NOAA), University of Alabama | CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare | NA22NWS4320003 to University of Alabama, subaward A23-0266-S001 to Utah State University |
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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