Comparison of Statistical and Dynamic Downscaling methods for ...

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Variograms (spatial variability analysis) Wet season (Jun.‐Sep.) Dry season (Oct.‐May) Variogram (mm 2 ) 400 300 200 Gobs R2+RCM CCSM+RCM CCSM+BCSD CCSM+SDBC CCSM+BCSA Variogram (mm 2 ) 400 300 200 Gobs R2+RCM CCSM+RCM CCSM+BCSD CCSM+SDBC CCSM+BCSA 100 100 0 0 100 200 300 400 500 Separation distance (km) 0 0 100 200 300 400 500 Separation distance (km)
General circulation models 200~300km resolution reanalysis data 1 GCM 4 GCMs RCM (Misra et al) 10 km resolution BCSD,SDBC, BCSA 12 km resolution Evaluation <strong>of</strong> climate in<strong>for</strong>mation Integrated Hydrologic Model Applications The impact assessment 9
Page 1 and 2: Comparison of Statistical and Dynam
Page 3 and 4: General circulation models 200~300k
Page 5 and 6: Method Schematic representation of
Page 7: Transition Probability Wet to Wet D
Page 11 and 12: Method Study domain 11
Page 13 and 14: Mean of errors for monthly average
Page 15 and 16: Frequency of daily streamflow event
Page 17 and 18: Conclusions • Dynamically downsca

Comparison of Statistical and Dynamic Downscaling methods for ...

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