A MODEL FOR QUANTITATIVELY ESTIMATING SHORT-RANGE PRECIPITATION BASED ON GMS DIGITALIZED CLOUD MAPS—PART Ⅰ: ANALYSIS OF QUANTITATIVE CLOUD-PRECIPITATION RELATIONS AND MODEL DESIGN

On the basis of gradient data of the surface layer obtained from four sets of Automatic Weather Station (AWS) installed in Lhasa,Nagqu,Xigaze and Nyingchi on the Tibetan Plateau from July 1993 to March 1999 according to the project of PRC-Japan Asia monsoon mechanism cooperative research,the seasonal surface roughness lengths and diurnal bulk trans fer coefficientsat each station are estimated.Then the surface fluxes of momentum,sensible heat and latent heat are calculated by using bulk formulation,Moreover,the composite characteristics of diurnal and monthly variation of surface fluxes are emphatically analyzed in this paper.