A New Variational Assimilation Method Based on Gradient Information from Satellite Data
Joint Authors
Wang, Yunfeng
Zhong, Bo
Ma, Gang
Ma, Xin-Yuan
Yang, Lu
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
With the development of meteorological observation technology, satellite data have found increasingly wide use in the numerical weather prediction field.
However, there are various observational biases in satellite data, including a random bias brought about by complex weather systems and a systematic bias caused by the instrument itself, which greatly influence the quality of satellite data.
A gradient information assimilation method is proposed in this paper to eliminate systematic bias.
This method uses a gradient operator for gradient transformation between the model variable and observation variable and reaches the objective of eliminating systematic bias.
An ideal experiment of variational data assimilation is conducted using the Community Radiative Transfer Model (CRTM) and Advanced Microwave Sounding Unit-A (AMSU-A) data, indicating that only assimilating gradient information can eliminate the smooth systematic bias in observation data.
Then, a numerical simulation of tropical cyclone (TC) Megi and data assimilation experiment are conducted using the Weather Research Forecast (WRF) and WRF Data Assimilation (WRFDA) model as well as the Atmospheric Infrared Sounder (AIRS) data.
The results show that the method of gradient information assimilation can improve the accuracy of TC tracks forecast and is also applicable for dealing with unreliable satellite data.
American Psychological Association (APA)
Zhong, Bo& Wang, Yunfeng& Ma, Gang& Ma, Xin-Yuan& Yang, Lu. 2017. A New Variational Assimilation Method Based on Gradient Information from Satellite Data. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1122700
Modern Language Association (MLA)
Zhong, Bo…[et al.]. A New Variational Assimilation Method Based on Gradient Information from Satellite Data. Advances in Meteorology No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1122700
American Medical Association (AMA)
Zhong, Bo& Wang, Yunfeng& Ma, Gang& Ma, Xin-Yuan& Yang, Lu. A New Variational Assimilation Method Based on Gradient Information from Satellite Data. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1122700
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122700