Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND Winter
Abstract We investigated the resolution sensitivity of the Global‐to‐Regional Integrated forecast SysTem global nonhydrostatic model characterized by explicit dynamics–microphysics coupling using varying uniform resolutions (120, 60, 30, 15, and 5 km). The experiments followed the DYnamics of the At...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2022-09-01
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| Series: | Earth and Space Science |
| Online Access: | https://doi.org/10.1029/2022EA002401 |
| _version_ | 1828384919247650816 |
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| author | Yi Zhang Xiaohan Li Zhuang Liu Xinyao Rong Jian Li Yihui Zhou Suyang Chen |
| author_facet | Yi Zhang Xiaohan Li Zhuang Liu Xinyao Rong Jian Li Yihui Zhou Suyang Chen |
| author_sort | Yi Zhang |
| collection | DOAJ |
| description | Abstract We investigated the resolution sensitivity of the Global‐to‐Regional Integrated forecast SysTem global nonhydrostatic model characterized by explicit dynamics–microphysics coupling using varying uniform resolutions (120, 60, 30, 15, and 5 km). The experiments followed the DYnamics of the Atmospheric general circulation Modeled On Non‐hydrostatic Domains (DYAMOND) winter protocol, which covers a 40‐day integration. These simulations did not activate parameterized convection. One 120 km test with parameterized convection was performed as a coarse‐resolution reference. Other model configurations for different simulations were kept as consistent as possible. Our results showed that the model gradually improved its representation of the fine‐scale features as the resolution increased. The 5 km simulation was overall close to a 3.75 km simulation during the first 12 days of the DYAMOND winter. With respect to the mean climate, the 5 km simulation had a more realistic rainfall distribution than the lower resolution explicit convection simulations. Cloud water and the related physical fields (e.g., shortwave cloud radiative forcing) had a large resolution sensitivity. The tropical rainfall frequency–intensity spectra became more realistic in the 5 km explicit convection simulation, but the 120 km run with parameterized convection showed a more realistic mean climate. As the resolution increases, the mean bulk effect of finely resolved model convection gradually converges to that of parameterized convection. The mean climate of this storm‐resolving model has slightly higher rainfall biases than a parameterized convection coarse‐resolution model, highlighting the importance of balancing resolved‐ and under‐resolved model convection for developing a unified multiscale global model. |
| first_indexed | 2024-12-10T05:11:33Z |
| format | Article |
| id | doaj.art-403f1f153ee849a3bf404f7f06285c5c |
| institution | Directory Open Access Journal |
| issn | 2333-5084 |
| language | English |
| last_indexed | 2024-12-10T05:11:33Z |
| publishDate | 2022-09-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Earth and Space Science |
| spelling | doaj.art-403f1f153ee849a3bf404f7f06285c5c2022-12-22T02:01:05ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842022-09-0199n/an/a10.1029/2022EA002401Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND WinterYi Zhang0Xiaohan Li1Zhuang Liu2Xinyao Rong3Jian Li4Yihui Zhou5Suyang Chen6State Key Laboratory of Severe Weather (LASW) Chinese Academy of Meteorological Sciences Beijing ChinaState Key Laboratory of Severe Weather (LASW) Chinese Academy of Meteorological Sciences Beijing ChinaDepartment of Earth System Science Tsinghua University Beijing ChinaState Key Laboratory of Severe Weather (LASW) Chinese Academy of Meteorological Sciences Beijing ChinaState Key Laboratory of Severe Weather (LASW) Chinese Academy of Meteorological Sciences Beijing ChinaState Key Laboratory of Severe Weather (LASW) Chinese Academy of Meteorological Sciences Beijing ChinaState Key Laboratory of Severe Weather (LASW) Chinese Academy of Meteorological Sciences Beijing ChinaAbstract We investigated the resolution sensitivity of the Global‐to‐Regional Integrated forecast SysTem global nonhydrostatic model characterized by explicit dynamics–microphysics coupling using varying uniform resolutions (120, 60, 30, 15, and 5 km). The experiments followed the DYnamics of the Atmospheric general circulation Modeled On Non‐hydrostatic Domains (DYAMOND) winter protocol, which covers a 40‐day integration. These simulations did not activate parameterized convection. One 120 km test with parameterized convection was performed as a coarse‐resolution reference. Other model configurations for different simulations were kept as consistent as possible. Our results showed that the model gradually improved its representation of the fine‐scale features as the resolution increased. The 5 km simulation was overall close to a 3.75 km simulation during the first 12 days of the DYAMOND winter. With respect to the mean climate, the 5 km simulation had a more realistic rainfall distribution than the lower resolution explicit convection simulations. Cloud water and the related physical fields (e.g., shortwave cloud radiative forcing) had a large resolution sensitivity. The tropical rainfall frequency–intensity spectra became more realistic in the 5 km explicit convection simulation, but the 120 km run with parameterized convection showed a more realistic mean climate. As the resolution increases, the mean bulk effect of finely resolved model convection gradually converges to that of parameterized convection. The mean climate of this storm‐resolving model has slightly higher rainfall biases than a parameterized convection coarse‐resolution model, highlighting the importance of balancing resolved‐ and under‐resolved model convection for developing a unified multiscale global model.https://doi.org/10.1029/2022EA002401 |
| spellingShingle | Yi Zhang Xiaohan Li Zhuang Liu Xinyao Rong Jian Li Yihui Zhou Suyang Chen Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND Winter Earth and Space Science |
| title | Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND Winter |
| title_full | Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND Winter |
| title_fullStr | Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND Winter |
| title_full_unstemmed | Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND Winter |
| title_short | Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND Winter |
| title_sort | resolution sensitivity of the grist nonhydrostatic model from 120 to 5 km 3 75 km during the dyamond winter |
| url | https://doi.org/10.1029/2022EA002401 |
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