Land Surface Model CAS‐LSM: Model Description and Evaluation
Abstract Comprehensive land surface models are very important for climate and weather forecasting and for improving our understanding of the relationships between humans and the Earth system. This work presents a land surface model of the Chinese Academy of Sciences (CAS‐LSM) that considers groundwa...
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2020-12-01
|
| Series: | Journal of Advances in Modeling Earth Systems |
| Online Access: | https://doi.org/10.1029/2020MS002339 |
| _version_ | 1819118942413651968 |
|---|---|
| author | Zhenghui Xie Longhuan Wang Yan Wang Bin Liu Ruichao Li Jinbo Xie Yujin Zeng Shuang Liu Junqiang Gao Si Chen Binghao Jia Peihua Qin |
| author_facet | Zhenghui Xie Longhuan Wang Yan Wang Bin Liu Ruichao Li Jinbo Xie Yujin Zeng Shuang Liu Junqiang Gao Si Chen Binghao Jia Peihua Qin |
| author_sort | Zhenghui Xie |
| collection | DOAJ |
| description | Abstract Comprehensive land surface models are very important for climate and weather forecasting and for improving our understanding of the relationships between humans and the Earth system. This work presents a land surface model of the Chinese Academy of Sciences (CAS‐LSM) that considers groundwater lateral flow, human water regulation, soil freeze‐thaw front dynamics, riverine dissolved inorganic nitrogen transport, anthropologic heat release, urban water usage, and urban planning based on the Community Land Model. Global simulations with the updated CAS‐LSM were conducted to evaluate its performance, and the results show its advantages in reproducing ecohydrological processes. Groundwater lateral flow can replenish the groundwater depletion cone caused by overexploitation, where the offset rate increases as the aquifer thickness increases. The maximum thaw depth increases by 3.62 mm yr−1 in permafrost areas, and the maximum frost depth decreases by 1.89 mm yr−1 in seasonally frozen areas. Nitrogen fertilizer use and point‐source pollution increase the riverine dissolved inorganic nitrogen flow rate in western Europe and eastern China. To further verify the model's ability to simulate the effects of urban planning implementation, simulations over Beijing were conducted using the Weather Research and Forecasting (WRF) model coupled with CAS‐LSM. The results show that anthropogenic heat release enhances the sensible heat flux and temperature in the city center. In terms of urban water planning, most of the total water supply in Beijing should be used for urban irrigation, and a small part should be used for road sprinkling to obtain a greater cooling effect. |
| first_indexed | 2024-12-22T05:56:53Z |
| format | Article |
| id | doaj.art-0284d6a75ec049f0ad7d0ed821e66f1c |
| institution | Directory Open Access Journal |
| issn | 1942-2466 |
| language | English |
| last_indexed | 2024-12-22T05:56:53Z |
| publishDate | 2020-12-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj.art-0284d6a75ec049f0ad7d0ed821e66f1c2022-12-21T18:36:40ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662020-12-011212n/an/a10.1029/2020MS002339Land Surface Model CAS‐LSM: Model Description and EvaluationZhenghui Xie0Longhuan Wang1Yan Wang2Bin Liu3Ruichao Li4Jinbo Xie5Yujin Zeng6Shuang Liu7Junqiang Gao8Si Chen9Binghao Jia10Peihua Qin11State 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 ChinaProgram in Atmospheric and Oceanic Sciences Princeton University Princeton NJ USAKey Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu ChinaSchool of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing 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 ChinaAbstract Comprehensive land surface models are very important for climate and weather forecasting and for improving our understanding of the relationships between humans and the Earth system. This work presents a land surface model of the Chinese Academy of Sciences (CAS‐LSM) that considers groundwater lateral flow, human water regulation, soil freeze‐thaw front dynamics, riverine dissolved inorganic nitrogen transport, anthropologic heat release, urban water usage, and urban planning based on the Community Land Model. Global simulations with the updated CAS‐LSM were conducted to evaluate its performance, and the results show its advantages in reproducing ecohydrological processes. Groundwater lateral flow can replenish the groundwater depletion cone caused by overexploitation, where the offset rate increases as the aquifer thickness increases. The maximum thaw depth increases by 3.62 mm yr−1 in permafrost areas, and the maximum frost depth decreases by 1.89 mm yr−1 in seasonally frozen areas. Nitrogen fertilizer use and point‐source pollution increase the riverine dissolved inorganic nitrogen flow rate in western Europe and eastern China. To further verify the model's ability to simulate the effects of urban planning implementation, simulations over Beijing were conducted using the Weather Research and Forecasting (WRF) model coupled with CAS‐LSM. The results show that anthropogenic heat release enhances the sensible heat flux and temperature in the city center. In terms of urban water planning, most of the total water supply in Beijing should be used for urban irrigation, and a small part should be used for road sprinkling to obtain a greater cooling effect.https://doi.org/10.1029/2020MS002339 |
| spellingShingle | Zhenghui Xie Longhuan Wang Yan Wang Bin Liu Ruichao Li Jinbo Xie Yujin Zeng Shuang Liu Junqiang Gao Si Chen Binghao Jia Peihua Qin Land Surface Model CAS‐LSM: Model Description and Evaluation Journal of Advances in Modeling Earth Systems |
| title | Land Surface Model CAS‐LSM: Model Description and Evaluation |
| title_full | Land Surface Model CAS‐LSM: Model Description and Evaluation |
| title_fullStr | Land Surface Model CAS‐LSM: Model Description and Evaluation |
| title_full_unstemmed | Land Surface Model CAS‐LSM: Model Description and Evaluation |
| title_short | Land Surface Model CAS‐LSM: Model Description and Evaluation |
| title_sort | land surface model cas lsm model description and evaluation |
| url | https://doi.org/10.1029/2020MS002339 |
| work_keys_str_mv | AT zhenghuixie landsurfacemodelcaslsmmodeldescriptionandevaluation AT longhuanwang landsurfacemodelcaslsmmodeldescriptionandevaluation AT yanwang landsurfacemodelcaslsmmodeldescriptionandevaluation AT binliu landsurfacemodelcaslsmmodeldescriptionandevaluation AT ruichaoli landsurfacemodelcaslsmmodeldescriptionandevaluation AT jinboxie landsurfacemodelcaslsmmodeldescriptionandevaluation AT yujinzeng landsurfacemodelcaslsmmodeldescriptionandevaluation AT shuangliu landsurfacemodelcaslsmmodeldescriptionandevaluation AT junqianggao landsurfacemodelcaslsmmodeldescriptionandevaluation AT sichen landsurfacemodelcaslsmmodeldescriptionandevaluation AT binghaojia landsurfacemodelcaslsmmodeldescriptionandevaluation AT peihuaqin landsurfacemodelcaslsmmodeldescriptionandevaluation |