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The Role of Soil Texture in Local Land Surface–Atmosphere Coupling and Regional Climate

Eli Dennis, Ernesto Hugo Berbery

2020Journal of Hydrometeorology32 citationsDOI

Abstract

Abstract Soil hydraulic properties are critical in estimating surface and subsurface processes, including surface fluxes, the distribution of soil moisture, and the extraction of water by root systems. In most numerical weather and climate models, those properties are assigned using maps of soil texture complemented by look-up tables. Comparison of two widely used soil texture databases, the USDA State Soil Geographic database (STATSGO) and Beijing Normal University’s soil texture database (GSDE), reveals that differences are widespread and can be spatially coherent over large areas that can eventually lead to regional climate differences. For instance, over the U.S. Great Plains, GSDE stipulates finer soil grains than STATSGO, while the opposite is true over central Mexico. In this study, we employ the WRF/CLM4 modeling suite to investigate the sensitivity of the simulated regional climate to changes in the prescribed soil maps. Wherever GSDE has finer grains than STATSGO (e.g., over the U.S. Great Plains), the soil retains water more strongly, as evidenced by smaller latent heat flux (−20 W m −2 ), larger sensible heat flux (+20 W m −2 ), and correspondingly, a decrease in the 2-m humidity (−1 g kg −1 ) and an increase in 2-m temperature (+1.5 K). The opposite behavior is found over areas of coarser grains in GSDE (e.g., over central Mexico). Further, the changes in surface fluxes via soil texture lead to differences in the thermodynamic structure of the PBL. Results suggest that neither soil hydraulic properties nor soil moisture solely dictate the strength of surface fluxes, but in combination they alter the land–atmosphere coupling in nontrivial ways.

Topics & Concepts

Soil textureEnvironmental scienceWater contentWeather Research and Forecasting ModelSoil waterLatent heatSensible heatTexture (cosmology)Soil scienceHumidityClimate changeClimate modelHydrology (agriculture)Atmospheric sciencesGeologyGeographyMeteorologyGeotechnical engineeringComputer scienceArtificial intelligenceOceanographyImage (mathematics)Soil Moisture and Remote SensingPlant Water Relations and Carbon DynamicsSoil and Unsaturated Flow
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