Premium
Stochastic interpolation of rainfall data from rain gages and radar using Cokriging: 2. Results
Author(s) -
Seo DongJun,
Krajewski Witold F.,
AzimiZonooz Ali,
Bowles David S.
Publication year - 1990
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr026i005p00915
Subject(s) - estimator , radar , interpolation (computer graphics) , rain gauge , estimation , environmental science , meteorology , statistics , mathematics , remote sensing , computer science , geography , engineering , animation , telecommunications , computer graphics (images) , systems engineering
Various estimation procedures using ordinary, universal, and disjunctive cokriging are evaluated in merging rain gage measurements and radar rainfall data. The estimation procedures and the simulation experiments were described in part 1 (Seo et al., this issue) of this two‐part work. In this part, the experiments are described in detail. An objective comparison scheme, devised to compare a large number of estimators, is also described. The results are presented focusing upon (1) the potential of radar‐gage estimation using cokriging over radar‐only estimation and gage‐only estimation under widely varying conditions of gage network density and the error characteristics of radar rainfall, (2) the potential for using universal or disjunctive cokriging over ordinary cokriging, (3) how the uncertain second‐order statistics affect the estimators, due to lack of rain gage measurements, and (4) how the statistical characteristics of ground truth rainfall affect the estimators.