Abstract
The effects of small-scale topography-induced land surface heterogeneity are not well represented in current Earth System Models (ESMs). In this study, a new topography-based subgrid structure referred to as topographic units (TGU) designed to better capture subgrid topographic effects, and methods to downscale atmospheric forcing to the land TGUs have been implemented in the Energy Exascale Earth System Model (E3SM) Land Model (ELM). Effects of the subgrid scheme and downscaling methods on ELM simulated land surface processes are evaluated over the conterminous United States (CONUS). For this purpose, ELM simulations are performed using two configurations without (NoD ELM) and with (D ELM) downscaling, both using TGUs derived for the 0.5-degree grids and the same land surface parameters. Simulations using the two ELM configurations are compared over the CONUS domain, regional levels, and at observational sites (e.g., SNOTEL). The CONUS-level results suggest that D ELM simulates more snowfall and snow water equivalent (SWE), higher runoff, and less ET during spring and summer. Regional-level results suggest more pronounced impacts of downscaling over regions dominated by higher elevation TGUs and regions with maximum precipitation occurring during cool seasons. Results at the SNOTEL sites suggest that D ELM has superior capability of reproducing the observed SWE at 83% of the sites, with more pronounced performance over topographically heterogeneous TGUs with their maximum precipitation occurring during cool seasons. The results highlight the importance of improving representation of small-scale surface heterogeneity in ESMs and motivate future research to understand their effects on land-atmosphere interactions, streamflow, and water resources management over mountainous regions.
| Original language | English |
|---|---|
| Article number | e2023MS004064 |
| Journal | Journal of Advances in Modeling Earth Systems |
| Volume | 16 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2024 |
Funding
This research was supported by the Office of Science of the U.S. Department of Energy Biological and Environmental Research through the Earth System Model Development program area as part of the Energy Exascale Earth System Model (E3SM) project. The Pacific Northwest National Laboratory is operated for the US Department of Energy by Battelle Memorial Institute under contract DE‐AC05‐76RL01830. The reported research used the DOE's Biological and Environmental Research Earth System Modeling program's COMPY computing cluster located at Pacific Northwest National Laboratory. The authors thank the three reviewers for their insightful comments, questions, and suggestions. This research was supported by the Office of Science of the U.S. Department of Energy Biological and Environmental Research through the Earth System Model Development program area as part of the Energy Exascale Earth System Model (E3SM) project. The Pacific Northwest National Laboratory is operated for the US Department of Energy by Battelle Memorial Institute under contract DE-AC05-76RL01830. The reported research used the DOE's Biological and Environmental Research Earth System Modeling program's COMPY computing cluster located at Pacific Northwest National Laboratory. The authors thank the three reviewers for their insightful comments, questions, and suggestions. Notice: Manuscript Authored by Battelle Memorial Institute Under Contract Number DE-AC05-76RL01830 with the US Department of Energy. The US Government retains and the publisher, by accepting this article for publication, acknowledges that the US Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so for US Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan: (http://energy.gov/downloads/doe-public-access-plan)
Keywords
- climate forcing
- downscaling
- land surface modeling
- subgrid variability
- surface heterogeneity
- topography
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