Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1569-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1569-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assimilation of Himawari-8 imager radiance data with the WRF-3DVAR system for the prediction of Typhoon Soudelor
Feifei Shen
The Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China
Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu, China
The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110000, China
Aiqing Shu
The Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China
Hong Li
Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China
Dongmei Xu
CORRESPONDING AUTHOR
The Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China
Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu, China
The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110000, China
Jinzhong Min
The Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China
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Cited
12 citations as recorded by crossref.
- Impact of all‐sky water vapour channel radiance from INSAT‐3D/3DR satellite over South Asia region using WRF model P. Kumar et al. 10.1002/qj.4323
- Impacts of Fengyun-4A and Ground-Based Observation Data Assimilation on the Forecast of Kaifeng’s Heavy Rainfall (2022) and Mechanism Analysis of the Event J. Zhang et al. 10.3390/rs16101663
- Application of Radar Radial Velocity Data Assimilation Based on Different Momentum Control Variables in Forecasting Typhoon Kompasu G. Yang et al. 10.3390/atmos14010039
- Effects of joint assimilation of FY-4A AGRI and ground-based microwave radiometer on heavy rainfall prediction Y. Shi et al. 10.3389/fenvs.2023.1083517
- Role of assimilation of microwave humidity sounder (MHS) satellite radiance in forecast of structure and intensity of VSCS Vardah 2016 A. Thankachan & K. Satya Singh 10.1016/j.asr.2024.06.068
- Sensitivity analysis of the physics options in the Weather Research and Forecasting model for typhoon forecasting in Japan and its impacts on storm surge simulations T. Shirai et al. 10.1080/21664250.2022.2124040
- COMPARISON OF THE EFFICIENCY OF OPTICAL FLOW TECHNIQUES FOR THE AUTOMATED ESTIMATION OF METEOROLOGICAL FIELD DISPLACEMENT А. Колкер 10.55235/0320359X_2023_108_43
- Impact of the combined assimilation of GPM/IMGER precipitation and Himawari-8/AHI water vapor radiance on snowfall forecasts using WRF model and 4Dvar system J. Ren et al. 10.1016/j.atmosres.2024.107726
- The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea C. Yang et al. 10.3390/rs16214105
- Assimilating FY-4A AGRI Radiances with a Channel-Sensitive Cloud Detection Scheme for the Analysis and Forecasting of Multiple Typhoons F. Shen et al. 10.1007/s00376-023-3072-z
- The added value of Himawari-8 satellite radiance data assimilation for very heavy rainfall prediction in the Indonesian Maritime Continent (Case study: East Kalimantan) H. Mukhsinin et al. 10.1088/1755-1315/1350/1/012036
- Impact of AMSU-A and MHS radiances assimilation on Typhoon Megi (2016) forecasting C. Liu & J. Gong 10.1515/geo-2022-0460
11 citations as recorded by crossref.
- Impact of all‐sky water vapour channel radiance from INSAT‐3D/3DR satellite over South Asia region using WRF model P. Kumar et al. 10.1002/qj.4323
- Impacts of Fengyun-4A and Ground-Based Observation Data Assimilation on the Forecast of Kaifeng’s Heavy Rainfall (2022) and Mechanism Analysis of the Event J. Zhang et al. 10.3390/rs16101663
- Application of Radar Radial Velocity Data Assimilation Based on Different Momentum Control Variables in Forecasting Typhoon Kompasu G. Yang et al. 10.3390/atmos14010039
- Effects of joint assimilation of FY-4A AGRI and ground-based microwave radiometer on heavy rainfall prediction Y. Shi et al. 10.3389/fenvs.2023.1083517
- Role of assimilation of microwave humidity sounder (MHS) satellite radiance in forecast of structure and intensity of VSCS Vardah 2016 A. Thankachan & K. Satya Singh 10.1016/j.asr.2024.06.068
- Sensitivity analysis of the physics options in the Weather Research and Forecasting model for typhoon forecasting in Japan and its impacts on storm surge simulations T. Shirai et al. 10.1080/21664250.2022.2124040
- COMPARISON OF THE EFFICIENCY OF OPTICAL FLOW TECHNIQUES FOR THE AUTOMATED ESTIMATION OF METEOROLOGICAL FIELD DISPLACEMENT А. Колкер 10.55235/0320359X_2023_108_43
- Impact of the combined assimilation of GPM/IMGER precipitation and Himawari-8/AHI water vapor radiance on snowfall forecasts using WRF model and 4Dvar system J. Ren et al. 10.1016/j.atmosres.2024.107726
- The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea C. Yang et al. 10.3390/rs16214105
- Assimilating FY-4A AGRI Radiances with a Channel-Sensitive Cloud Detection Scheme for the Analysis and Forecasting of Multiple Typhoons F. Shen et al. 10.1007/s00376-023-3072-z
- The added value of Himawari-8 satellite radiance data assimilation for very heavy rainfall prediction in the Indonesian Maritime Continent (Case study: East Kalimantan) H. Mukhsinin et al. 10.1088/1755-1315/1350/1/012036
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
The Advanced Himawari Imager (AHI) on Himawari-8 can continuously monitor high-impact weather events with high frequency in space and time. The assimilation of AHI radiance data was implemented with the three-dimensional variational data assimilation system of the Weather Research and Forecasting Model for the analysis and prediction of Typhoon Soudelor (2015) in the Pacific typhoon season.
The Advanced Himawari Imager (AHI) on Himawari-8 can continuously monitor high-impact weather...
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