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Advances in Earth Science  2019, Vol. 34 Issue (11): 1120-1130    DOI: 10.11867/j.issn.1001-8166.2019.11.1120
Overview of Researches on All-Sky Satellite Microwave Data Variational Assimilation
Fangli Dou1,2,3(),Qifeng Lu3(),Yang Guo3
1. Chinese Academy of Meteorological Sciences, Beijing 100081, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Key Laboratory of Radiometric Calibration and Validation for Environment Satellites, National Satellite Meteorological Center, Beijing 100081, China
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As the important components of the earth’s atmospheric system, cloud and precipitation strongly affect the global hydrology and energy cycles through the interaction of solar and infrared radiation with cloud droplets and the release of latent heat in precipitation development. The microwave observations in cloudy and rainy conditions have a large amount of information closely related to the development of weather systems, especially the severe weather systems like typhoon and rainstorm. Nevertheless, satellite microwave observations are usually only assimilated in clear-sky above the ocean and their cloud and precipitation content is discarded. Over the past two decades, several Numerical Weather Prediction (NWP) centers have gradually developed the “all-sky” approach to make use of the cloud- and precipitation-affected microwave radiances. It’s been proved that the all-sky assimilation can be used to improve the first guessed mass, wind, humidity, cloud and precipitation through the tracer effect. For providing an investigated reference for the future research of all-weather assimilation in domestic numerical weather forecast, this paper reviewed the all-sky assimilation methods using microwave observation data, analyzed the advantages and disadvantages of each method, and discussed the key technical problems and the existing difficulties and challenges in this field. With the development and application of the new generation of NWP model in China, advancing the domestic research of all-weather data assimilation technology will bring more scientific and practical benefits in the future.

Key words:  All-sky      Cloud and precipitation      Microwave      Data assimilation      1 DVar.     
Received:  01 July 2019      Published:  31 December 2019
ZTFLH:  P456.7  
Fund: the National Natural Science Foundation of China ”Research on improving the high-frequency microwave scattering radiative transfer model in the microwave all-sky assimilation”(41905034)
Corresponding Authors:  Qifeng Lu     E-mail:;
About author:  Dou Fangli (1986-), female, Binzhou City, Shandong Province, Assistant professor. Research areas include microwave remote sensing, data assimilation.
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Fangli Dou
Qifeng Lu
Yang Guo

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Fangli Dou,Qifeng Lu,Yang Guo. Overview of Researches on All-Sky Satellite Microwave Data Variational Assimilation. Advances in Earth Science, 2019, 34(11): 1120-1130.

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Fig.1  Flowchart describing the “1D+4DVar”(solid lines) and the direct 4DVar(dotted lines) methods for the all-sky assimilation
Table 1  The status of all-sky assimilation operation in global NWP centers
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