supported in part by the National Key Research and Development Program of China under Grant No.2018YFC1507302;in part by the National Natural Science Foundation of China under Grant No.41975028。
A physical retrieval approach based on the one-dimensional variational(1 D-Var) algorithm is applied in this paper to simultaneously retrieve atmospheric temperature and humidity profiles under both clear-sky and part...
partially supported by the JPSS PGRR science program(NA15NES4320001);the NOAA Joint Technology Transfer Initiative(NA19OAR4590240)at CIMSS/University of Wisconsin-Madison。
Satellite infrared(IR)sounder and imager measurements have become one of the main sources of data used by data assimilation systems to generate initial conditions for numerical weather prediction(NWP)models and atmosp...
supported by the China Scholarship Council;primarily sponsored by the National Key R&D Program of China (Grant No.2018YFC1506702 and Grant No.2017YFC1502000)。
The existence of outliers can seriously influence the analysis of variational data assimilation.Quality control allows us to effectively eliminate or absorb these outliers to produce better analysis fields.In particul...
Forecasting convective storms using NWP models is an important goal and a highly active area of ongoing research. Skillful and reliable NWP of convective storms could allow for severe weather warnings with longer lead...
primarily supported by the National Fundamental Research 973 Program of China(Grant No.2013CB430101);the National Natural Science Foundation of China(Grant Nos.41275031,41322032 and 41475015);the Social Commonwealth Research Program(Grant Nos.GYHY201506004 and GYHY201006007);the Program for New Century Excellent Talents in Universities of China
This paper examines how assimilating surface observations can improve the analysis and forecast ability of a four- dimensional Variational Doppler Radar Analysis System (VDRAS). Observed surface temperature and wind...
supported by the Chinese Academy of Science(Contract No. KZCX2-YW-202);the 973 Pro-gram (Grant No. 2006CB403606);the National Natural Science Foundation of China (Grant Nos. 40606008,40776011)
In order to improve the efficiency of the Ocean Variational Assimilation System (OVALS), which has been widely used in various applications, an improved OVALS (OVALS2) is developed based on the recursive filter ...
Acknowledgements. The authors would like to thank Mr. R. W. Reynolds for providing the guess error variance of the OISST data. All computations of this work were completed on IAP1801 computer. This work was supported jointly by the Key Direction Project of the Chinese Academy of Sciences Knowledge Innovation Program (Grant No. KZCX-SW-230), the 973 Project (Grant No. 2005CB321703), and the National Natural Science Foundation of China (Grant No. 40221503).
A four-dimensional variational data assimilation (4DVar) system of the LASG/IAP Climate Ocean Model, version 1.0 (LICOM1.0), named LICOM-3DVM, has been developed using the three-dimensional variational data assimi...
In order to obtain an accurate tide description in the China Seas, the 2-dimensional nonlinear numerical Princeton Ocean Model (POM) is employed to incorporate in situ tidal measurements both from tide gauges and TO...
This work was supported by the National Natural Science Foundation of China under Grant No.E-D0119-90202014;the National Key Programme for Developing Basic Sciences of China under Great No.G1998040902.
A variational technique (VT) is applied to estimate surface sensible and latent heat fluxes based on observations of air temperature, wind speed, and humidity, respectively, at three heights (1 m, 4 m, and 10 m), and ...
The recent progresses in the research and development of (NWP) in China are reviewed in this paper. The most impressive achievements are the development of direct assimilation of satellite irradiances with a 3DVAR (th...