Spatial heterogeneity effects on land surface modeling of water and energy partitioning
Abstract
Abstract. Understanding the influence of land surface heterogeneity on surface water and energy fluxes is crucial for modeling earth system variability and change. This study investigates the effects of four dominant heterogeneity sources on land surface modeling, including atmospheric forcing (ATM), soil properties (SOIL), land use and land cover (LULC), and topography (TOPO). Our analysis focused on their impacts on the partitioning of precipitation (P) into evapotranspiration (ET) and runoff (R), partitioning of net radiation into sensible heat and latent heat, and corresponding water and energy fluxes. An initial set of 16 experiments were performed over the continental US (CONUS) using the E3SM land model (ELMv1) with different combinations of heterogeneous and homogeneous datasets. The Sobol' total and first-order sensitivity indices were utilized to quantify the relative importance of the four heterogeneity sources. Sobol' total sensitivity index measures the total heterogeneity effects induced by a given heterogeneity source, consisting of the contribution from its own heterogeneity (i.e., the first-order index) and its interactions with other heterogeneity sources. ATM and LULC are the most dominant heterogeneity sources in determining spatial variability of water and energy partitioning, mainly contributed by their own heterogeneity and slightly contributed by their interactions with other heterogeneity sources. Their heterogeneity effectsmore »
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1876637
- Alternate Identifier(s):
- OSTI ID: 1886845
- Report Number(s):
- PNNL-SA-174760
Journal ID: ISSN 1991-9603
- Grant/Contract Number:
- KP1703110/75415; AC05-76RL01830
- Resource Type:
- Published Article
- Journal Name:
- Geoscientific Model Development (Online)
- Additional Journal Information:
- Journal Name: Geoscientific Model Development (Online) Journal Volume: 15 Journal Issue: 14; Journal ID: ISSN 1991-9603
- Publisher:
- Copernicus GmbH
- Country of Publication:
- Germany
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Li, Lingcheng, Bisht, Gautam, and Leung, L. Ruby. Spatial heterogeneity effects on land surface modeling of water and energy partitioning. Germany: N. p., 2022.
Web. doi:10.5194/gmd-15-5489-2022.
Li, Lingcheng, Bisht, Gautam, & Leung, L. Ruby. Spatial heterogeneity effects on land surface modeling of water and energy partitioning. Germany. https://doi.org/10.5194/gmd-15-5489-2022
Li, Lingcheng, Bisht, Gautam, and Leung, L. Ruby. Tue .
"Spatial heterogeneity effects on land surface modeling of water and energy partitioning". Germany. https://doi.org/10.5194/gmd-15-5489-2022.
@article{osti_1876637,
title = {Spatial heterogeneity effects on land surface modeling of water and energy partitioning},
author = {Li, Lingcheng and Bisht, Gautam and Leung, L. Ruby},
abstractNote = {Abstract. Understanding the influence of land surface heterogeneity on surface water and energy fluxes is crucial for modeling earth system variability and change. This study investigates the effects of four dominant heterogeneity sources on land surface modeling, including atmospheric forcing (ATM), soil properties (SOIL), land use and land cover (LULC), and topography (TOPO). Our analysis focused on their impacts on the partitioning of precipitation (P) into evapotranspiration (ET) and runoff (R), partitioning of net radiation into sensible heat and latent heat, and corresponding water and energy fluxes. An initial set of 16 experiments were performed over the continental US (CONUS) using the E3SM land model (ELMv1) with different combinations of heterogeneous and homogeneous datasets. The Sobol' total and first-order sensitivity indices were utilized to quantify the relative importance of the four heterogeneity sources. Sobol' total sensitivity index measures the total heterogeneity effects induced by a given heterogeneity source, consisting of the contribution from its own heterogeneity (i.e., the first-order index) and its interactions with other heterogeneity sources. ATM and LULC are the most dominant heterogeneity sources in determining spatial variability of water and energy partitioning, mainly contributed by their own heterogeneity and slightly contributed by their interactions with other heterogeneity sources. Their heterogeneity effects are complementary, both spatially and temporally. The overall impacts of SOIL and TOPO are negligible, except TOPO dominates the spatial variability of R/P across the transitional climate zone between the arid western and humid eastern CONUS. Accounting for more heterogeneity sources improves the simulated spatial variability of water and energy fluxes when compared with ERA5-Land reanalysis dataset. An additional set of 13 experiments identified the most critical components within each heterogeneity source, which are precipitation, temperature, and longwave radiation for ATM, soil texture, and soil color for SOIL and maximum fractional saturated area parameter for TOPO.},
doi = {10.5194/gmd-15-5489-2022},
journal = {Geoscientific Model Development (Online)},
number = 14,
volume = 15,
place = {Germany},
year = {Tue Jul 19 00:00:00 EDT 2022},
month = {Tue Jul 19 00:00:00 EDT 2022}
}
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