Statistics – Computation
Scientific paper
Oct 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009acasn..50..415h&link_type=abstract
Acta Astronomica Sinica, vol. 50, no. 4, p.415-424
Statistics
Computation
Earth, Atmospheric Effects, Techniques: Miscellaneous, Methods: Numerical, Miscellaneous
Scientific paper
The vertical profiles of water vapor and temperature retrieved from GPS/LEO occultation data are potentially valuable data source for the meteorological and atmospheric science. The assimilation of GPS/LEO occultation data may effectively improve the vertical profiles and hence improve the accuracy of the current numerical weather prediction (NWP). At present, the largest problem for applying variational assimilation retrieval technique to the current NWP model is the enormous computation. By the improvements of cost function of one-dimensional variational assimilation and the re-design of iteration process, the new algorithm adopted in this paper avoids repeated calculations of large dimensional matrix. Therefore, the computational efficiency of variational assimilation can be improved. In the numerical simulation discussion, the retrieval results from CHAMP occultation refractivity profile is tested when taking ECMWF analytical model added the Gaussian white noise as the true value.
Chen Wan-Hai
Hong Zhen-Jie
Li Jiying
Zhang Yan-Ping
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