Assessing Cloud and Precipitation Properties on Temporal and Spatial Scales Using LASSO Simulations over ENA
Low clouds and precipitation representation remain a major source of uncertainty in Earth System Models (ESMs), particularly due to challenges in representing their sub-grid variability and scale-dependent sampling. This study evaluates the performanc
Authors
- Jennifer D. Small Griswold (ORCID: https://orcid.org/0000-0003-4563-8596)
- Scott Edward Giangrande (ORCID: https://orcid.org/0000-0002-8119-8199)
- William I. Gustafson (ORCID: https://orcid.org/0000-0001-9927-1393)
- Daniel Thompson McCoy (ORCID: https://orcid.org/0000-0003-1148-6475)
- Jiakun Liang (ORCID: https://orcid.org/0000-0001-6187-4201)
- Satoshi Endo (ORCID: https://orcid.org/0000-0002-3668-8519)
- John Rausch (ORCID: https://orcid.org/0000-0003-3368-5408)
Institutions
- University of Hawaiʻi at Mānoa (US)
- University of Wyoming (US)
- Pacific Northwest National Laboratory (US)
- Vanderbilt University (US)
- Brookhaven National Laboratory (US)
- Wyoming Department of Education (US)
- Brookhaven College (US)
Publication Details
- Published
- 2025-08-25
- DOI
- https://doi.org/10.22541/essoar.175611372.26069550/v1
- Primary Topic
- Solar Radiation and Photovoltaics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Energy
- Battelle
- UT-Battelle
- Office of Science
- Biological and Environmental Research
- Office of Experimental Program to Stimulate Competitive Research
- Oak Ridge National Laboratory
- Brookhaven National Laboratory
- Pacific Northwest National Laboratory