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

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

doi:https://doi.org/10.5194/gmd-17-3025-2024

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

Short summary

Improving climate predictions have profound socio-economic impacts. This study introduces a new...