000031594 001__ 31594
000031594 041__ $$aEnglish
000031594 100__ $$aDahri, Z. H.
000031594 245__ $$aAn Appraisal of Precipitation Distribution in the High-Altitude Catchments of the Indus Basin
000031594 260__ $$c2016
000031594 300__ $$a289-306
000031594 507__ $$aHiAware
000031594 511__ $$aIndus, IndusARTICLES
000031594 520__ $$aScarcity of in-situ observations coupled with high orographic influences has prevented a comprehensive assessment of precipitation distribution in the high-altitude catchments of Indus basin. Available data are generally fragmented and scattered with different organizations and mostly cover the valleys. Here, we combine most of the available station data with the indirect precipitation estimates at the accumulation zones of major glaciers to analyse altitudinal dependency of precipitation in the high-altitude Indus basin. The available observations signified the importance of orography in each sub-hydrological basin but could not infer an accurate distribution of precipitation with altitude. We used Kriging with External Drift (KED) interpolation scheme with elevation as a predictor to appraise spatiotemporal distribution of mean monthly, seasonal and annual precipitation for the period of 1998–2012. The KED-based annual precipitation estimates are verified by the corresponding basin-wide observed specific runoffs, which show good agreement. In contrast to earlier studies, our estimates reveal substantially higher precipitation in most of the sub-basins indicating two distinct rainfall maxima; 1st along southern and lower most slopes of Chenab, Jhelum, Indus main and Swat basins, and 2nd around north-west corner of Shyok basin in the central Karakoram. The study demonstrated that the selected gridded precipitation products covering this region are prone to significant errors. In terms of quantitative estimates, ERA-Interim is relatively close to the observations followed by WFDEI and TRMM, while APHRODITE gives highly underestimated precipitation estimates in the study area. Basin-wide seasonal and annual correction factors introduced for each gridded dataset can be useful for lumped hydrological modelling studies, while the estimated precipitation distribution can serve as a basis for bias correction of any gridded precipitation products for the study area.
000031594 653__ $$aBias Correction
000031594 653__ $$aGridded Precipitation Products
000031594 653__ $$aHigh-Altitude Areas
000031594 653__ $$aIndus Basin
000031594 653__ $$aPrecipitation Distribution
000031594 700__ $$aLudwig, F.
000031594 700__ $$aMoors, E.
000031594 700__ $$aAhmad, B.
000031594 700__ $$aKhan, A.
000031594 700__ $$aKabat, P.
000031594 773__ $$pScience of The Total Environment
000031594 773__ $$v548-549 
000031594 773__ $$a10.1016/j.scitotenv.2016.01.001
000031594 8564_ $$uhttp://www.sciencedirect.com/science/article/pii/S0048969716300018$$yExternal link (open access)
000031594 8564_ $$uhttp://lib.icimod.org/record/31594/files/AnAP-15.pdf
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000031594 8564_ $$uhttp://lib.icimod.org/record/31594/files/STE-hiaware.pdf
000031594 8564_ $$uhttp://lib.icimod.org/record/31594/files/STE-hiaware.ps.gz
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000031594 980__ $$aARTICLE