Multimodel-based hydrological sensitivity analysis in Indian river basins
Abstract
Climate change has significantly influenced global water resources in recent decades.Understanding the sensitivity of hydrological variables to climate change is crucial forreliable water supply and management. Parametrization and process representation can causeuncertainty in hydrological model estimates. Despite the profound importance of multimodel-hydrological modeling, the multimodel framework for the robust estimates of runoffsensitivity over the Indian region has not yet been examined. We simulate the hydrologicalvariables using observed meteorological observations from the Indian MeteorologicalDepartment (IMD) in five hydrological models (VIC, H08, CLM, CWatM, and Noah-MP)for the 1951-2020 period. We perturbed temperature and precipitation by uniform amountsof each day of the year to estimate the runoff using each hydrological models (HMs). We willfurther examine the relative incremental change against the reference climate. We will alsoexamine the uncertainty focusing to variations in HMs simulated runoff change concerningprecipitation and temperature. Overall, understanding basin-scale runoff sensitivity to awarming climate is vital for water planning and management.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFM.H52I0559K