Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring
Weather radars play a crucial role in the monitoring of severe convective weather. However, due to their limited detection range, they cannot conduct an effective monitoring in remote offshore areas. Therefore, this paper utilized UNet++ to establish a model for retrieving radar composite reflectivi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/1/56 |
| _version_ | 1797358289545068544 |
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| author | Bingcheng Wan Chloe Yuchao Gao |
| author_facet | Bingcheng Wan Chloe Yuchao Gao |
| author_sort | Bingcheng Wan |
| collection | DOAJ |
| description | Weather radars play a crucial role in the monitoring of severe convective weather. However, due to their limited detection range, they cannot conduct an effective monitoring in remote offshore areas. Therefore, this paper utilized UNet++ to establish a model for retrieving radar composite reflectivity based on Himawari-9 satellite datasets. In the process of comparative analysis, we found that both satellite and radar data exhibited significant diurnal cycles, but there were notable differences in their variation characteristics. To address this, we established four comparative models to test the influence of latitude and diurnal cycles on the inversion results. The results showed that adding the distribution map of the minimum brightness temperature at the corresponding time in the model could effectively improve the model’s performance in both spatial and temporal dimensions, reduce the root-mean-square error (RMSE) of the model, and enhance the accuracy of severe convective weather monitoring. |
| first_indexed | 2024-03-08T14:58:46Z |
| format | Article |
| id | doaj.art-d404210e7b9f45dda999832ae5c74238 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T14:58:46Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d404210e7b9f45dda999832ae5c742382024-01-10T15:07:15ZengMDPI AGRemote Sensing2072-42922023-12-011615610.3390/rs16010056Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather MonitoringBingcheng Wan0Chloe Yuchao Gao1School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaDepartment of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, ChinaWeather radars play a crucial role in the monitoring of severe convective weather. However, due to their limited detection range, they cannot conduct an effective monitoring in remote offshore areas. Therefore, this paper utilized UNet++ to establish a model for retrieving radar composite reflectivity based on Himawari-9 satellite datasets. In the process of comparative analysis, we found that both satellite and radar data exhibited significant diurnal cycles, but there were notable differences in their variation characteristics. To address this, we established four comparative models to test the influence of latitude and diurnal cycles on the inversion results. The results showed that adding the distribution map of the minimum brightness temperature at the corresponding time in the model could effectively improve the model’s performance in both spatial and temporal dimensions, reduce the root-mean-square error (RMSE) of the model, and enhance the accuracy of severe convective weather monitoring.https://www.mdpi.com/2072-4292/16/1/56radar composite reflectivityHimawari-9UNet++ |
| spellingShingle | Bingcheng Wan Chloe Yuchao Gao Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring Remote Sensing radar composite reflectivity Himawari-9 UNet++ |
| title | Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring |
| title_full | Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring |
| title_fullStr | Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring |
| title_full_unstemmed | Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring |
| title_short | Improving Radar Reflectivity Reconstruction with Himawari-9 and UNet++ for Off-Shore Weather Monitoring |
| title_sort | improving radar reflectivity reconstruction with himawari 9 and unet for off shore weather monitoring |
| topic | radar composite reflectivity Himawari-9 UNet++ |
| url | https://www.mdpi.com/2072-4292/16/1/56 |
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