Improved Himawari‐8/AHI Radiance Data Assimilation With a Double Cloud Detection Scheme

Author:

Li Xin123,Zou Xiaolei4ORCID,Zhuge Xiaoyong5ORCID,Zeng Mingjian123ORCID,Wang Ning6,Tang Fei123ORCID

Affiliation:

1. Key Laboratory of Transportation Meteorology, CMA Nanjing China

2. Jiangsu Research Institute of Meteorological Sciences Nanjing China

3. Nanjing Joint Institute for Atmospheric Sciences Nanjing China

4. The Joint Center for Data Assimilation Research and Applications Nanjing University of Information Science and Technology Nanjing China

5. School of Atmospheric Sciences and Key Laboratory of Mesoscale Severe Weather of the Ministry of Education Nanjing University Nanjing China

6. Jiangsu Climate Center Nanjing China

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Reference53 articles.

1. Ackerman S. Strabala K. Menzel P. Frey R. Moeller C. &Gumley L.(2010).Discriminating clear‐sky from cloud with MODIS algorithm theoretical basis document (MOD35) Cooperative Institute for Meteorological Satellite Studies Tech. Rep. 125 pp. [available online athttp://modisatmos.gsfc.nasa.gov/_docs/MOD35:MYD35_ATBD_C005.pdf]

2. Multivariate Minimum Residual Method for Cloud Retrieval. Part I: Theoretical Aspects and Simulated Observation Experiments

3. Adaptive bias correction for satellite data in a numerical weather prediction system

4. An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological Satellites

5. Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity

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