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| Created: | Nov 03, 2021 at 12:27 a.m. | |
| Last updated: | Jul 04, 2022 at 2:24 p.m. (Metadata update) | |
| Published date: | Jul 04, 2022 at 2:24 p.m. | |
| DOI: | 10.4211/hs.acc4f39ad6924a78811750043d59e5d0 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 4142 |
| Downloads: | 60 |
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Abstract
The SnowClim Model and Dataset address the need for climate and snow data products that are based on physical principles, that are simulated at high spatial resolution, and that cover large geographic domains.
The SnowClim Model is a physics-based snow model that incorporates key energy balance processes necessary for capturing snowpack spatiotemporal variability, including under future climate scenarios, while optimizing computational efficiency throughout several empirical simplifications. The model code can be downloaded or run in the cloud using MATLAB Online through HydroShare.
The SnowClim Dataset consists of climate forcing data for and snow outputs from the SnowClim Model. Climate forcing data was downscaled from 4 km climate data from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) to ~210 m across the contiguous western United States. Climate forcings were downscaled from WRF directly for a present day (2000-2013) period and a thirteen year pseudo global warming scenario reflecting conditions between 2071-2100 under RCP 8.5. Climate forcings were prepared for a third time period by perturbing present-day downscaled climate data by the multi-model mean from CMIP5 to reflect conditions under pre-industrial conditions (1850-1879).
Additional details regarding the SnowClim model physics, model calibration, climate data downscaling, model application to the western US, and model performance are available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Subject Keywords
Coverage
Spatial
Temporal
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Collection Contents
| Add | Title | Type | Owners | Sharing Status | Remove |
|---|---|---|---|---|---|
| SnowClim: Present Snow Data | Resource | A. Lute | Published & Shareable | ||
| SnowClim: Present Climate Data | Resource | A. Lute | Published & Shareable | ||
| SnowClim: Future Snow Data | Resource | A. Lute | Published & Shareable | ||
| SnowClim: Future Climate Data | Resource | A. Lute | Published & Shareable | ||
| SnowClim: Pre-industrial Snow Data | Resource | A. Lute | Published & Shareable | ||
| SnowClim: Pre-industrial Climate Data | Resource | A. Lute | Published & Shareable | ||
| SnowClim Model | Resource | A. Lute | Published & Shareable |
Related Resources
| The content of this resource is derived from | Rasmussen, R., and C. Liu. 2017. High Resolution WRF Simulations of the Current and Future Climate of North America. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6V40SXP. Accessed 24 Sep 2018. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) | Hydroinformatics Innovation Fellowship | NSF Cooperative Agreement No. EAR-1849458 |
| National Science Foundation | Integrative Graduate Education and Research Traineeship (IGERT) Program | 1249400 |
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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