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Parameterizing Subgrid Variations of Land Surface Heat Fluxes to the Atmosphere Improves Boreal Summer Land Precipitation Simulation With the NCAR CESM1.2

  • Wenqi Sun
  • , Bin Wang
  • , Yong Wang
  • , Guang J. Zhang
  • , Yilun Han
  • , Xu Wang
  • , Mengmiao Yang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Subgrid horizontal variations of land surface heat fluxes to the atmosphere resulting from subgrid land cover heterogeneity are important in land-atmosphere interaction in global climate models (GCMs). To incorporate it, a parameterization using stochastic sampling based on truncated normal distributions diagnosed from the land model and internal ensemble mean of multiple calls to the planetary boundary layer and deep convection schemes is developed. After its implementation in the National Center for Atmospheric Research (NCAR) Community Earth System Model version 1.2 (CESM1.2), large changes of simulated land precipitation are found to occur in regions where large subgrid variations of surface heat fluxes exist. The simulated precipitation is improved in boreal summer, especially over eastern China and the coastal areas of the Bay of Bengal. The improved precipitation is mainly a result of improved large-scale moisture convergence and advection by altered vertical diffusion and convection.

Original languageEnglish
Article numbere2020GL090715
JournalGeophysical Research Letters
Volume48
Issue number1
DOIs
StatePublished - Jan 16 2021
Externally publishedYes

Funding

This work is supported by the National Key Research and Development Program of China Grants 2016YFA0602103 and 2017YFA0604000 and the National Natural Science Foundation of China Grant 41975126. G. J. Zhang is supported by the Department of Energy, Office of Science, Biological and Environmental Research Program (BER), under Award no. DE‐SC0019373. The authors would like to thank Hing Ong and the other anonymous reviewer for their constructive and helpful comments.

Keywords

  • global climate models
  • parameterization
  • precipitation
  • subgrid land surface fluxes

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