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EXPERIMENTAL APPLICATION OF A THINNING SCHEME FOR THE ASSIMILATION OF SURFACE OBSERVATION DATA IN GRAPES-3DVAR
  Revised:June 15, 2018
KeyWords:thinning  typical observation  data assimilation
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Author NameAffiliationE-mail
ZHAO Hong 1. Luhe Meteorological Bureau, Nanjing 211599 China
2. Jiangsu Meteorological Observation Center, Nanjing 210009 China
3. Jiangsu Institute of Meteorological Sciences, Nanjing 210009 China 
 
LIU Yin  liuyin200421@163.com 
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Abstract:
      To reduce the spatial correlation of representation error in observations and computational complexity, we propose a thinning scheme that can extract typical observations within a certain range. This scheme is applied to the Global/Regional Assimilation and Prediction System (GRAPES) with three-dimensional variation (3DVAR) to study the effect of the thinning radius on the assimilation results. The assimilation experiments indicate that when the ratio of the model resolution to the observational resolution is 1:3, the simulated results for precipitation are relatively good and have a relatively high equitable threat score (ETS). Moreover, the analysis errors in the temperature and the specific humidity are the smallest, the dependence of the norm gradient vector of the objective function on the number of iterations is slow, gentle, and close to 0, and the minimization results in improved conditions.
DOI10.16555/j.1006-8775.2018.03.007
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