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Precipitation projections over the Indus River Basin of Pakistan for the 21st century using a statistical downscaling framework
Author(s) -
Pomee Muhammad Saleem,
Hertig Elke
Publication year - 2022
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.7244
Subject(s) - downscaling , climatology , precipitation , environmental science , indus , monsoon , structural basin , spatial ecology , common spatial pattern , climate change , meteorology , geology , geography , mathematics , statistics , paleontology , ecology , oceanography , biology
We estimate future changes in precipitation over the entire Indus basin of Pakistan with a particular focus on the high‐elevation upper indus basin (UIB). A statistical downscaling approach is used. We consider the spatial variability of observed precipitation on seasonal scales. Large‐scale atmospheric patterns are employed for general circulation model (GCM) selection and subsequent projections. Firstly, we identify the precipitation governing predictors from ERA‐Interim reanalysis. We further quantify the robustness of governing predictors against other reanalysis datasets (ERA5 and NCEP‐NCAR‐II) to assess future projections' fidelity. We perform S‐mode Principal Component Analysis on predictor fields and compare loading patterns using Taylor diagrams to assess predictor correspondence between different reanalysis. Similarly, we compare ERA‐Interim variables with model‐simulated fields during the historical period to select better performing GCMs and quantify model uncertainty. The regional suitability of available GCMs in our study is also demonstrated. Ensemble (median) changes in regional precipitation derived through atmospheric fields show an elevation‐dependent response of the UIB at representative concentration pathway (RCP) scenarios RCP4.5 and RCP8.5, where increased precipitation will mostly fall at high elevations. However, the positive signals are more distinct during the winter and monsoon seasons, particularly over the central Karakoram. Meanwhile, a decrease in precipitation is robust during the pre‐monsoon period, particularly over the northwestern regions. These signals intensify and become more robust during 2071–2100 under RCP8.5, and the better‐performing models and signal‐to‐noise ratios further support this finding. The spatial patterns of projected changes suggest stronger (weaker) and further northward penetrating westerly systems during the winter (pre‐monsoon) season. Increased warming will also strengthen monsoon circulations, and these will penetrate further into the northwestern and trans‐Himalayan regions. The Lower Indus shows a mixed seasonal response that is more uncertain. The present analysis provides an alternative perspective to the ongoing research of assessing climate responses in complex regions.