The study presents a comprehensive assessment of the key terrestrial water budget (TWB) components and their recent temporal trends using observed and gridded datasets across Upper Jhelum Basin (UJB) for the period of 2003–2014. Different gridded datasets were used for precipitation-P (APHRODITE, CHIRPS, PGMFD, ERA-5, and MSWEP), evapotranspiration-ET (MOD16A2, SSEBop, GLDAS-NOAH, TERRACLIMATE and DOLCE), Gravity Recovery and Climate Experiment (GRACE) derived terrestrial water storage (TWS) and observed discharge (Q) measurements. Firstly, gridded P and ET datasets were assessed through detailed spatiotemporal analysis against reference datasets and considering their adequacy to close the TWB. The imbalance in TWB and associated uncertainties of each component were also computed to understand the potential of gridded datasets for water budget studies. Finally, TWB components were subjected to trend analysis to evaluate temporal trends and their statistical significance over the study period. Overall, ERA5-Pand DOLCE-ET relatively performed better and hence considered to be the most appropriate to present the hydrological spatiotemporal variability across UJB. The imbalance in water budget was mainly associated with higher uncertainties in P especially during wet periods. The results of temporal trend analysis showed a) insignificant mixed trends for annual P with increase and decrease in monsoon and winter P, respectively b) mixed yet statistically significant trends for ET in different parts of basin at annual and seasonal scale c) significant decreasing trends for TWS throughout the UJB in winter and annual scale d) increasing trends for Q in all months of the year except January and February. Despite the imbalance in water budget estimation due to large uncertainties in gridded P, ET, and TWS datasets, the study underlines the important information about TWB dynamics and their spatiotemporal variability over UJB which can be used as the knowledge base for further impact assessment studies.
Evaluation of gridded datasets for terrestrial water budget assessment in the Upper Jhelum River Basin-South Asia
Ansari R.
;Grossi G.
2022-01-01
Abstract
The study presents a comprehensive assessment of the key terrestrial water budget (TWB) components and their recent temporal trends using observed and gridded datasets across Upper Jhelum Basin (UJB) for the period of 2003–2014. Different gridded datasets were used for precipitation-P (APHRODITE, CHIRPS, PGMFD, ERA-5, and MSWEP), evapotranspiration-ET (MOD16A2, SSEBop, GLDAS-NOAH, TERRACLIMATE and DOLCE), Gravity Recovery and Climate Experiment (GRACE) derived terrestrial water storage (TWS) and observed discharge (Q) measurements. Firstly, gridded P and ET datasets were assessed through detailed spatiotemporal analysis against reference datasets and considering their adequacy to close the TWB. The imbalance in TWB and associated uncertainties of each component were also computed to understand the potential of gridded datasets for water budget studies. Finally, TWB components were subjected to trend analysis to evaluate temporal trends and their statistical significance over the study period. Overall, ERA5-Pand DOLCE-ET relatively performed better and hence considered to be the most appropriate to present the hydrological spatiotemporal variability across UJB. The imbalance in water budget was mainly associated with higher uncertainties in P especially during wet periods. The results of temporal trend analysis showed a) insignificant mixed trends for annual P with increase and decrease in monsoon and winter P, respectively b) mixed yet statistically significant trends for ET in different parts of basin at annual and seasonal scale c) significant decreasing trends for TWS throughout the UJB in winter and annual scale d) increasing trends for Q in all months of the year except January and February. Despite the imbalance in water budget estimation due to large uncertainties in gridded P, ET, and TWS datasets, the study underlines the important information about TWB dynamics and their spatiotemporal variability over UJB which can be used as the knowledge base for further impact assessment studies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
