ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||4|
|Section||Session 3: Computer|
|Published online||05 September 2017|
Retrieval of Cloud Water Variables by 1D-Var Algorithm
1 Academy of Ocean Science and Engineering National University of Defense Technology, Changsha, China
2 College of Computer, National University of Defense Technology, Changsha, China
3 Weather Center of PLA Air Force, PLA Air Force, Beijing, China
4 Meteorological Observatory, Fourteen Suboffice of Jiuquan, No. 435, Jiuquan, China
Data assimilation of satellite observations in cloud and rain regions is a worldwide problem. In the paper, we designed the background field and their error covariance of three cloud water variables (cloud cover, cloud liquid water and cloud ice water) at first. The experiment results demonstrate that 1D-Var (One-dimensional variational data assimilation) can retrieve the three variables efficiently. The cloud liquid water and cloud ice water can be obviously improved by 1D-Var. However, the retrieved effect of low cloud cover is still to be improved. It has the positive potential to assimilate the satellite observations in cloud and rain regions.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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