Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method
The Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite provides continuous observations every 10 min. This study investigates the assimilation of every-10-min radiance from the AHI with the POD-4DEnVar method. Cloud detection is conducted in the AHI quality control procedu...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/18/3765 |
| _version_ | 1797517376334331904 |
|---|---|
| author | Jingnan Wang Lifeng Zhang Jiping Guan Xiaodong Wang Mingyang Zhang Yuan Wang |
| author_facet | Jingnan Wang Lifeng Zhang Jiping Guan Xiaodong Wang Mingyang Zhang Yuan Wang |
| author_sort | Jingnan Wang |
| collection | DOAJ |
| description | The Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite provides continuous observations every 10 min. This study investigates the assimilation of every-10-min radiance from the AHI with the POD-4DEnVar method. Cloud detection is conducted in the AHI quality control procedure to remove cloudy and precipitation-affected observations. Historical samples and physical ensembles are combined to construct four-dimensional ensembles according to the observed frequency of the Himawari-8 satellite. The purpose of this study was to test the potential impacts of assimilating high temporal resolution observations with POD-4DEnVar in a numerical weather prediction (NWP) system. Two parallel experiments were performed with and without Himawari-8 radiance assimilation during the entire month of July 2020. The results of the experiment with radiance assimilation show that it improves the analysis and forecast accuracy of geopotential, horizontal wind field and relative humidity compared to the experiment without radiance assimilation. Moreover, the equitable threat score (ETS) of 24-h accumulated precipitation shows that assimilating Himawari-8 radiance improves the rainfall forecast accuracy. Improvements were found in the structure, amplitude and location of the precipitation. In addition, the ETS of hourly accumulated precipitation indicates that assimilating high temporal resolution Himawari-8 radiance can improve the prediction of rapidly developed rainfall. Overall, assimilating every-10-min AHI radiance from Himawari-8 with POD-4DEnVar has positive impacts on NWP. |
| first_indexed | 2024-03-10T07:14:48Z |
| format | Article |
| id | doaj.art-c6cd2a2599c5432690ec353c28ea5df5 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T07:14:48Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-c6cd2a2599c5432690ec353c28ea5df52023-11-22T15:08:01ZengMDPI AGRemote Sensing2072-42922021-09-011318376510.3390/rs13183765Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar MethodJingnan Wang0Lifeng Zhang1Jiping Guan2Xiaodong Wang3Mingyang Zhang4Yuan Wang5College of Computer, National University of Defense Technology, Changsha 410000, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410000, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410000, ChinaCollege of Computer, National University of Defense Technology, Changsha 410000, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410000, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha 410000, ChinaThe Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite provides continuous observations every 10 min. This study investigates the assimilation of every-10-min radiance from the AHI with the POD-4DEnVar method. Cloud detection is conducted in the AHI quality control procedure to remove cloudy and precipitation-affected observations. Historical samples and physical ensembles are combined to construct four-dimensional ensembles according to the observed frequency of the Himawari-8 satellite. The purpose of this study was to test the potential impacts of assimilating high temporal resolution observations with POD-4DEnVar in a numerical weather prediction (NWP) system. Two parallel experiments were performed with and without Himawari-8 radiance assimilation during the entire month of July 2020. The results of the experiment with radiance assimilation show that it improves the analysis and forecast accuracy of geopotential, horizontal wind field and relative humidity compared to the experiment without radiance assimilation. Moreover, the equitable threat score (ETS) of 24-h accumulated precipitation shows that assimilating Himawari-8 radiance improves the rainfall forecast accuracy. Improvements were found in the structure, amplitude and location of the precipitation. In addition, the ETS of hourly accumulated precipitation indicates that assimilating high temporal resolution Himawari-8 radiance can improve the prediction of rapidly developed rainfall. Overall, assimilating every-10-min AHI radiance from Himawari-8 with POD-4DEnVar has positive impacts on NWP.https://www.mdpi.com/2072-4292/13/18/3765data assimilationHimawari-8 satellite radiancePOD-4DEnVarnumerical weather prediction |
| spellingShingle | Jingnan Wang Lifeng Zhang Jiping Guan Xiaodong Wang Mingyang Zhang Yuan Wang Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method Remote Sensing data assimilation Himawari-8 satellite radiance POD-4DEnVar numerical weather prediction |
| title | Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method |
| title_full | Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method |
| title_fullStr | Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method |
| title_full_unstemmed | Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method |
| title_short | Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method |
| title_sort | potential impacts of assimilating every 10 minute himawari 8 satellite radiance with the pod 4denvar method |
| topic | data assimilation Himawari-8 satellite radiance POD-4DEnVar numerical weather prediction |
| url | https://www.mdpi.com/2072-4292/13/18/3765 |
| work_keys_str_mv | AT jingnanwang potentialimpactsofassimilatingevery10minutehimawari8satelliteradiancewiththepod4denvarmethod AT lifengzhang potentialimpactsofassimilatingevery10minutehimawari8satelliteradiancewiththepod4denvarmethod AT jipingguan potentialimpactsofassimilatingevery10minutehimawari8satelliteradiancewiththepod4denvarmethod AT xiaodongwang potentialimpactsofassimilatingevery10minutehimawari8satelliteradiancewiththepod4denvarmethod AT mingyangzhang potentialimpactsofassimilatingevery10minutehimawari8satelliteradiancewiththepod4denvarmethod AT yuanwang potentialimpactsofassimilatingevery10minutehimawari8satelliteradiancewiththepod4denvarmethod |