Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-3025-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-3025-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Development and technical paper
 | 
16 Apr 2024
Development and technical paper |  | 16 Apr 2024

The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2

Pengfei Shi, L. Ruby Leung, Bin Wang, Kai Zhang, Samson M. Hagos, and Shixuan Zhang

Data sets

Data for the analyses Pengfei Shi https://doi.org/10.5281/zenodo.8148737

MODIS/Terra Monthly mean Day-Time Land Surface Temperature at 1x1 degree V005 GES DISC Northern Eurasian Earth Science Partnership Initiative Project https://doi.org/10.5067/4SI45J6G6BW5

A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002-2022) P. Yao and H. Lu https://doi.org/10.11888/Soil.tpdc.270960

Model code and software

E3SMv2 source codes Pengfei Shi https://doi.org/10.5281/zenodo.8194050

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Short summary
Improving climate predictions have profound socio-economic impacts. This study introduces a new weakly coupled land data assimilation (WCLDA) system for a coupled climate model. We demonstrate improved simulation of soil moisture and temperature in many global regions and throughout the soil layers. Furthermore, significant improvements are also found in reproducing the time evolution of the 2012 US Midwest drought. The WCLDA system provides the groundwork for future predictability studies.
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