Climate impacts of parameterizing subgrid variation and partitioning of land surface heat fluxes to the atmosphere with the NCAR CESM1.2
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Published:2023-01-04
Issue:1
Volume:16
Page:135-156
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Yin MingORCID, Han Yilun, Wang Yong, Sun Wenqi, Deng Jianbo, Wei Daoming, Kong Ying, Wang Bin
Abstract
Abstract. All current global climate models (GCMs) utilize only
grid-averaged surface heat fluxes to drive the atmosphere, and thus their
subgrid horizontal variations and partitioning are absent. This can result
in many simulation biases. To address this shortcoming, a novel
parameterization scheme considering the subgrid variations of the sensible
and latent heat fluxes to the atmosphere and the associated partitioning is
developed and implemented into the National Center for Atmospheric Research
(NCAR) Climate Earth System Model 1.2 (CESM1.2). Compared to the default
model, in addition to the improved boreal summer precipitation simulation
over eastern China and the coastal areas of the Bay of Bengal, the
long-standing overestimations of precipitation on the southern and eastern
margins of the Tibetan Plateau (TP) in most GCMs are alleviated. The
improved precipitation simulation on the southern margin of the TP is from
suppressed large-scale precipitation, while that on the eastern edge of the
TP is due to decreased convective precipitation. Moisture advection is
blocked toward the southern edge of the TP, and the anomaly of anticyclonic
moisture transport over northern China extends westward, suppressing local
convection on the eastern edge of the TP. The altered large-scale
circulation in the lower atmosphere resulting from anomalous heating and cooling
in the planetary boundary layer is responsible for the change in moisture
transport. The performance of other key variables (e.g., surface energy
fluxes, clouds and 2 m temperature) is also evaluated thoroughly using the
default CESM1.2, the new scheme and the scheme stochastically allocating
the subgrid surface heat fluxes to the atmosphere (i.e., without subgrid
partitioning included). This study highlights the importance of subgrid
surface energy variations and partitioning to the atmosphere in simulating
the hydrological and energy cycles in GCMs.
Funder
National Natural Science Foundation of China Ministry of Science and Technology of the People's Republic of China
Publisher
Copernicus GmbH
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