Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model
Abstract The land‐surface model of the Chinese Academy of Sciences (CAS‐LSM), which includes lateral flow, water use, nitrogen discharge and river transport, soil freeze‐thaw front dynamics, and urban planning, was implemented in the Flexible Global Ocean‐Atmosphere‐Land System model, grid‐point ver...
Main Authors: | , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2021-01-01
|
Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2020MS002171 |
_version_ | 1797653748976189440 |
---|---|
author | Jinbo Xie Zhenghui Xie Binghao Jia Peihua Qin Bin Liu Longhuan Wang Yan Wang Ruichao Li Si Chen Shuang Liu Yujing Zeng Junqiang Gao Lijuan Li Yongqiang Yu Li Dong Bin Wang Zhipeng Xie |
author_facet | Jinbo Xie Zhenghui Xie Binghao Jia Peihua Qin Bin Liu Longhuan Wang Yan Wang Ruichao Li Si Chen Shuang Liu Yujing Zeng Junqiang Gao Lijuan Li Yongqiang Yu Li Dong Bin Wang Zhipeng Xie |
author_sort | Jinbo Xie |
collection | DOAJ |
description | Abstract The land‐surface model of the Chinese Academy of Sciences (CAS‐LSM), which includes lateral flow, water use, nitrogen discharge and river transport, soil freeze‐thaw front dynamics, and urban planning, was implemented in the Flexible Global Ocean‐Atmosphere‐Land System model, grid‐point version 3 (CAS‐FGOALS‐g3) to investigate the climatic effects of eco‐hydrological processes and human activities. Simulations were conducted using the land‐atmospheric component setup of CAS‐FGOALS‐g3 with given sea‐surface temperatures and sea‐ice distributions to assess its new capabilities. It was shown that anthropogenic groundwater use led to increased latent heat flux of about 20 W∙m−2 in three groundwater overexploitation areas: North India, northern China, and central United States. The groundwater lateral flow accompanied by this exploitation has led to deepening water table depth in these regions. The derived permafrost extent from the soil freeze‐thaw front (FTF) was comparable to observations, and the inclusion of FTF dynamics enabled simulations of seasonal variations in freeze‐thaw processes and related eco‐hydrological effects. Inclusion of riverine nitrogen transport and its joint implementation with the human activity scheme showed large dissolved inorganic nitrogen concentrations in major rivers around the globe, including western Europe, eastern China, and the U.S. Midwest, which were affected by nitrogen retention and surface water use during transport. The results suggest that the model is a useful tool for studying the effects of land‐surface processes on global climate, especially those influenced by human interventions. |
first_indexed | 2024-03-11T16:49:08Z |
format | Article |
id | doaj.art-5bdc8441725a414ea53ff24f4b3bdf7d |
institution | Directory Open Access Journal |
issn | 1942-2466 |
language | English |
last_indexed | 2024-03-11T16:49:08Z |
publishDate | 2021-01-01 |
publisher | American Geophysical Union (AGU) |
record_format | Article |
series | Journal of Advances in Modeling Earth Systems |
spelling | doaj.art-5bdc8441725a414ea53ff24f4b3bdf7d2023-10-21T14:51:48ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662021-01-01131n/an/a10.1029/2020MS002171Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System ModelJinbo Xie0Zhenghui Xie1Binghao Jia2Peihua Qin3Bin Liu4Longhuan Wang5Yan Wang6Ruichao Li7Si Chen8Shuang Liu9Yujing Zeng10Junqiang Gao11Lijuan Li12Yongqiang Yu13Li Dong14Bin Wang15Zhipeng Xie16State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing ChinaKey Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing ChinaAbstract The land‐surface model of the Chinese Academy of Sciences (CAS‐LSM), which includes lateral flow, water use, nitrogen discharge and river transport, soil freeze‐thaw front dynamics, and urban planning, was implemented in the Flexible Global Ocean‐Atmosphere‐Land System model, grid‐point version 3 (CAS‐FGOALS‐g3) to investigate the climatic effects of eco‐hydrological processes and human activities. Simulations were conducted using the land‐atmospheric component setup of CAS‐FGOALS‐g3 with given sea‐surface temperatures and sea‐ice distributions to assess its new capabilities. It was shown that anthropogenic groundwater use led to increased latent heat flux of about 20 W∙m−2 in three groundwater overexploitation areas: North India, northern China, and central United States. The groundwater lateral flow accompanied by this exploitation has led to deepening water table depth in these regions. The derived permafrost extent from the soil freeze‐thaw front (FTF) was comparable to observations, and the inclusion of FTF dynamics enabled simulations of seasonal variations in freeze‐thaw processes and related eco‐hydrological effects. Inclusion of riverine nitrogen transport and its joint implementation with the human activity scheme showed large dissolved inorganic nitrogen concentrations in major rivers around the globe, including western Europe, eastern China, and the U.S. Midwest, which were affected by nitrogen retention and surface water use during transport. The results suggest that the model is a useful tool for studying the effects of land‐surface processes on global climate, especially those influenced by human interventions.https://doi.org/10.1029/2020MS002171land/atmosphere interactionnumerical modeling |
spellingShingle | Jinbo Xie Zhenghui Xie Binghao Jia Peihua Qin Bin Liu Longhuan Wang Yan Wang Ruichao Li Si Chen Shuang Liu Yujing Zeng Junqiang Gao Lijuan Li Yongqiang Yu Li Dong Bin Wang Zhipeng Xie Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model Journal of Advances in Modeling Earth Systems land/atmosphere interaction numerical modeling |
title | Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model |
title_full | Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model |
title_fullStr | Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model |
title_full_unstemmed | Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model |
title_short | Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model |
title_sort | coupling of the cas lsm land surface model with the cas fgoals g3 climate system model |
topic | land/atmosphere interaction numerical modeling |
url | https://doi.org/10.1029/2020MS002171 |
work_keys_str_mv | AT jinboxie couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT zhenghuixie couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT binghaojia couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT peihuaqin couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT binliu couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT longhuanwang couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT yanwang couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT ruichaoli couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT sichen couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT shuangliu couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT yujingzeng couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT junqianggao couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT lijuanli couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT yongqiangyu couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT lidong couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT binwang couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel AT zhipengxie couplingofthecaslsmlandsurfacemodelwiththecasfgoalsg3climatesystemmodel |