supported by the National Natural Science Foundation of China (Grant Nos.41205013 and 41105012)
This paper established a geophysical retrieval algorithm for sea surface wind vector, sea surface temperature, columnar atmospheric water vapor, and columnar cloud liquid water from WindSat, using the measured brightn...
supported by National Natural Science Foundation of China(Grants Nos.41230421,41005029,41105012,41375106 and 41105065);National Public Benefit(Meteorology)Research Foundation of China(Grant No.GYHY 201106004)
Traditional variational data assimilation (VDA) with only one regularization parameter constraint cannot produce optimal error tuning for all observations. In this paper, a new data assimilation method of "four dim...
Project supported by the National Natural Science Foundation of China(Grant No. 41105012);Startup Fund Scientific Research from the Institute of Meteorology, PLA University of Science and Technology(Grant No. 2009QX08)
In this paper, a new approach to the optimal retrieval of the ocean color based on the variational method is developed by setting up a rational target functional combining with the Broydor Fletcher, Goldfarb, Shanno ...