Land transpiration-evaporation partitioning errors responsible for modeled summertime warm bias in the central United States

Jianzhi Dong (), Fangni Lei and Wade T. Crow ()
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Jianzhi Dong: USDA ARS Hydrology and Remote Sensing Laboratory
Fangni Lei: Mississippi State University
Wade T. Crow: USDA ARS Hydrology and Remote Sensing Laboratory

Nature Communications, 2022, vol. 13, issue 1, 1-8

Abstract: Abstract Earth system models (ESMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) experiment exhibit a well-known summertime warm bias in mid-latitude land regions – most notably in the central contiguous United States (CUS). The dominant source of this bias is still under debate. Using validated datasets and both coupled and off-line modeling, we find that the CUS summertime warm bias is driven by the incorrect partitioning of evapotranspiration (ET) into its canopy transpiration and soil evaporation components. Specifically, CMIP6 ESMs do not effectively use available rootzone soil moisture for summertime transpiration and instead rely excessively on shallow soil and canopy-intercepted water storage to supply ET. As such, expected summertime precipitation deficits in CUS induce a negative ET bias into CMIP6 ESMs and a corresponding positive temperature bias via local land-atmosphere coupling. This tendency potentially biases CMIP6 projections of regional water stress and summertime air temperature variability under elevated CO2 conditions.

Date: 2022
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DOI: 10.1038/s41467-021-27938-6

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