Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3
Abstract In this study, we implement a new frozen‐soil parameterization scheme into the climate system model CAS‐FGOALS‐g3 to investigate the dynamic changes of freezing and thawing fronts and the effects arising from thermal processes and climate. Simulations are conducted using the developed model...
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2021-10-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2020MS002152 |
| _version_ | 1818395024434397184 |
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| author | Ruichao Li Jinbo Xie Zhenghui Xie Junqiang Gao Binghao Jia Peihua Qin Lijuan Li Bin Wang Yongqiang Yu Li Dong Longhuan Wang Yan Wang Bin Liu Si Chen |
| author_facet | Ruichao Li Jinbo Xie Zhenghui Xie Junqiang Gao Binghao Jia Peihua Qin Lijuan Li Bin Wang Yongqiang Yu Li Dong Longhuan Wang Yan Wang Bin Liu Si Chen |
| author_sort | Ruichao Li |
| collection | DOAJ |
| description | Abstract In this study, we implement a new frozen‐soil parameterization scheme into the climate system model CAS‐FGOALS‐g3 to investigate the dynamic changes of freezing and thawing fronts and the effects arising from thermal processes and climate. Simulations are conducted using the developed model to validate its performance relative to multi‐source observations. It is shown that the model could reasonably reproduce soil freezing and thawing processes, including dynamic changes in freezing and thawing fronts. The historical simulation shows that the maximum freeze depth increases with an increase of latitude in seasonally frozen ground, and the active layer thickness decreases with an increase of latitude in permafrost regions. The active layer thickness shows increasing trends while the maximum freeze depth shows decreasing trends, which is consistent with change in the 2‐m air temperature. In conclusion, these results have the potential to further deepen our understanding of the freeze‐thaw cycle process and the historical response of permafrost to climate change. |
| first_indexed | 2024-12-14T06:10:31Z |
| format | Article |
| id | doaj.art-bfb87d260c484fdca740e140e2f0ad3f |
| institution | Directory Open Access Journal |
| issn | 1942-2466 |
| language | English |
| last_indexed | 2024-12-14T06:10:31Z |
| publishDate | 2021-10-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj.art-bfb87d260c484fdca740e140e2f0ad3f2022-12-21T23:14:10ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662021-10-011310n/an/a10.1029/2020MS002152Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3Ruichao Li0Jinbo Xie1Zhenghui Xie2Junqiang Gao3Binghao Jia4Peihua Qin5Lijuan Li6Bin Wang7Yongqiang Yu8Li Dong9Longhuan Wang10Yan Wang11Bin Liu12Si Chen13State 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 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 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 ChinaAbstract In this study, we implement a new frozen‐soil parameterization scheme into the climate system model CAS‐FGOALS‐g3 to investigate the dynamic changes of freezing and thawing fronts and the effects arising from thermal processes and climate. Simulations are conducted using the developed model to validate its performance relative to multi‐source observations. It is shown that the model could reasonably reproduce soil freezing and thawing processes, including dynamic changes in freezing and thawing fronts. The historical simulation shows that the maximum freeze depth increases with an increase of latitude in seasonally frozen ground, and the active layer thickness decreases with an increase of latitude in permafrost regions. The active layer thickness shows increasing trends while the maximum freeze depth shows decreasing trends, which is consistent with change in the 2‐m air temperature. In conclusion, these results have the potential to further deepen our understanding of the freeze‐thaw cycle process and the historical response of permafrost to climate change.https://doi.org/10.1029/2020MS002152freezing and thawing frontsspatial and temporal distributionclimate system modelactive layer thickness |
| spellingShingle | Ruichao Li Jinbo Xie Zhenghui Xie Junqiang Gao Binghao Jia Peihua Qin Lijuan Li Bin Wang Yongqiang Yu Li Dong Longhuan Wang Yan Wang Bin Liu Si Chen Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 Journal of Advances in Modeling Earth Systems freezing and thawing fronts spatial and temporal distribution climate system model active layer thickness |
| title | Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 |
| title_full | Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 |
| title_fullStr | Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 |
| title_full_unstemmed | Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 |
| title_short | Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 |
| title_sort | simulated spatial and temporal distribution of freezing and thawing fronts in cas fgoals g3 |
| topic | freezing and thawing fronts spatial and temporal distribution climate system model active layer thickness |
| url | https://doi.org/10.1029/2020MS002152 |
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