Improvements of Sea Fog Forecasting Based on CMA-TYM
Based on the operational version of the China Meteorological Administration Typhoon Model (CMA-TYM, formerly known as GRAPES_TYM), a series of numerical tests are conducted by optimizing the boundary layer parameterization scheme, vertical resolution, and boundary conditions. Instead of the sea surf...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.854438/full |
| _version_ | 1819105248389627904 |
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| author | Bin Huang Jin Zhang Jin Zhang Yuenan Cao Xiaoyu Gao Suhong Ma Suhong Ma Chenghu Sun Chenghu Sun |
| author_facet | Bin Huang Jin Zhang Jin Zhang Yuenan Cao Xiaoyu Gao Suhong Ma Suhong Ma Chenghu Sun Chenghu Sun |
| author_sort | Bin Huang |
| collection | DOAJ |
| description | Based on the operational version of the China Meteorological Administration Typhoon Model (CMA-TYM, formerly known as GRAPES_TYM), a series of numerical tests are conducted by optimizing the boundary layer parameterization scheme, vertical resolution, and boundary conditions. Instead of the sea surface temperature (SST) from the Global Forecast System (GFS) model, more accurate daily SST data reflecting the daily SST variation are used as the boundary condition. The new SST dataset is capable of representing the key points in the area, including the low coastal SST related to upwelling, the intrusion of the Yellow Sea (YS) Warm Current, and the ocean front between the YS and the East China Sea. An analysis of the performances of two boundary layer parameterization schemes (the Yonsei University scheme and the Medium-Range Forecast scheme) in characterizing turbulent heat exchange reveals that the former can more accurately reflect offshore turbulence and forecast the fog area. By increasing the number of vertical layers of the model to 68 and reducing the height of the bottom layer to approximately 10 m, the model presents a better performance in simulating the rapid formation and dissipation of sea fog. With the above improvements, the equitable threat score (ETS) for the hindcasting of eleven sea fog cases in the spring of 2018 increases by 61%, mainly due to the increase in the correctly forecasted fog area. |
| first_indexed | 2024-12-22T02:19:14Z |
| format | Article |
| id | doaj.art-dab8e02c2bb0496aa781f3370139e6c4 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-12-22T02:19:14Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-dab8e02c2bb0496aa781f3370139e6c42022-12-21T18:42:11ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632022-03-011010.3389/feart.2022.854438854438Improvements of Sea Fog Forecasting Based on CMA-TYMBin Huang0Jin Zhang1Jin Zhang2Yuenan Cao3Xiaoyu Gao4Suhong Ma5Suhong Ma6Chenghu Sun7Chenghu Sun8National Meteorological Center, China Meteorological Administration, Beijing, ChinaCMA Earth System Modeling and Prediction Centre (CEMC), Beijing, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaNational Meteorological Center, China Meteorological Administration, Beijing, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaCMA Earth System Modeling and Prediction Centre (CEMC), Beijing, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaState Key Laboratory of Severe Weather and Institute of Climate System, Chinese Academy of Meteorological Sciences, Beijing, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, ChinaBased on the operational version of the China Meteorological Administration Typhoon Model (CMA-TYM, formerly known as GRAPES_TYM), a series of numerical tests are conducted by optimizing the boundary layer parameterization scheme, vertical resolution, and boundary conditions. Instead of the sea surface temperature (SST) from the Global Forecast System (GFS) model, more accurate daily SST data reflecting the daily SST variation are used as the boundary condition. The new SST dataset is capable of representing the key points in the area, including the low coastal SST related to upwelling, the intrusion of the Yellow Sea (YS) Warm Current, and the ocean front between the YS and the East China Sea. An analysis of the performances of two boundary layer parameterization schemes (the Yonsei University scheme and the Medium-Range Forecast scheme) in characterizing turbulent heat exchange reveals that the former can more accurately reflect offshore turbulence and forecast the fog area. By increasing the number of vertical layers of the model to 68 and reducing the height of the bottom layer to approximately 10 m, the model presents a better performance in simulating the rapid formation and dissipation of sea fog. With the above improvements, the equitable threat score (ETS) for the hindcasting of eleven sea fog cases in the spring of 2018 increases by 61%, mainly due to the increase in the correctly forecasted fog area.https://www.frontiersin.org/articles/10.3389/feart.2022.854438/fullsea fognumerical forecastboundary layer parameterization schemevertical resolutionbottom boundary conditions |
| spellingShingle | Bin Huang Jin Zhang Jin Zhang Yuenan Cao Xiaoyu Gao Suhong Ma Suhong Ma Chenghu Sun Chenghu Sun Improvements of Sea Fog Forecasting Based on CMA-TYM Frontiers in Earth Science sea fog numerical forecast boundary layer parameterization scheme vertical resolution bottom boundary conditions |
| title | Improvements of Sea Fog Forecasting Based on CMA-TYM |
| title_full | Improvements of Sea Fog Forecasting Based on CMA-TYM |
| title_fullStr | Improvements of Sea Fog Forecasting Based on CMA-TYM |
| title_full_unstemmed | Improvements of Sea Fog Forecasting Based on CMA-TYM |
| title_short | Improvements of Sea Fog Forecasting Based on CMA-TYM |
| title_sort | improvements of sea fog forecasting based on cma tym |
| topic | sea fog numerical forecast boundary layer parameterization scheme vertical resolution bottom boundary conditions |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.854438/full |
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