Climate impacts of parameterizing subgrid variation and partitioning of land surface heat fluxes to the  atmosphere with the NCAR CESM1.2

Yin, Ming; Han, Yilun; Wang, Yong; Sun, Wenqi; Deng, Jianbo; Wei, Daoming; Kong, Ying; Wang, Bin

doi:https://doi.org/10.5194/gmd-16-135-2023

Articles | Volume 16, issue 1

https://doi.org/10.5194/gmd-16-135-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-135-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 1

Development and technical paper

|

04 Jan 2023

Development and technical paper |

| 04 Jan 2023

Climate impacts of parameterizing subgrid variation and partitioning of land surface heat fluxes to the atmosphere with the NCAR CESM1.2

Ming Yin, Yilun Han, Yong Wang, Wenqi Sun, Jianbo Deng, Daoming Wei, Ying Kong, and Bin Wang

Supplement

https://doi.org/10.5194/gmd-16-135-2023-supplement

Data sets

The Tropical Rainfall Measuring Mission (TRMM) observations (0.25°×0.25°) G. J. Huffman, B. Dan, A. Bolvin, K. Hsu, R. Joyce, and P. Xie https://gpm.nasa.gov/data/directory

MERRA-2 instM_3d_asm_Np: 3d,Monthly mean,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/2E096JV59PK7

The surface radiative fluxes from the Clouds and the Earth’s Radiation Energy Systems (CERES) Energy Balanced and Filled (1.0°×1.0°) (EBAF) N. G. Loeb, J. M. Lyman, G. C. Johnson, R. P. Allan, D. R. Doelling, T. Wong, B. J. Soden, and G. L. Stephens https://climatedataguide.ucar.edu/climate-data/ceres-ebaf-clouds-and-earths-radiant-energy-systems-ceres-energy-balanced-and-filled

MERRA-2 tavgM_2d_flx_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/0JRLVL8YV2Y4

2 m air temperature from the Climatic Research Unit with a 0.5° resolution (CRU) I. Harris, T. J. Osborn, P. Jones, and D. Lister https://crudata.uea.ac.uk/cru/data/hrg/?_ga=2.162163900.162961233.1636977076-620633058.1635581908

Climate Impacts of Parameterizing Subgrid Partitioning of Land Surface Heat Fluxes to the Atmosphere with the NCAR CESM1.2 Ming Yin, Yong Wang, and Wenqi Sun https://doi.org/10.5281/zenodo.6606418

GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree V2.1 H. Beaudoing, M. Rodell, and NASA/GSFC/HSL https://doi.org/10.5067/LWTYSMP3VM5Z

Model code and software

The CESM1.2.1-CAM5.3 source code CESM Software Engineering Group (CSEG) https://www.cesm.ucar.edu/models/cesm1.2/cesm/doc/usersguide/x290.html#download_ccsm_code

Climate Impacts of Parameterizing Subgrid Partitioning of Land Surface Heat Fluxes to the Atmosphere with the NCAR CESM1.2 Ming Yin, Yong Wang, and Wenqi Sun https://doi.org/10.5281/zenodo.6606418

Short summary

All global climate models (GCMs) use the grid-averaged surface heat fluxes to drive the atmosphere, and thus their horizontal variations within the grid cell are averaged out. In this regard, a novel scheme considering the variation and partitioning of the surface heat fluxes within the grid cell is developed. The scheme reduces the long-standing rainfall biases on the southern and eastern margins of the Tibetan Plateau. The performance of key variables at the global scale is also evaluated.