Precipitation projection over Daqing River Basin (North China) considering the evolution of dependence structures.

ABSTRACT: Understanding dynamic future changes in precipitation can provide prior information for nonpoint source pollution simulations under global warming. However, the evolution of the dependence structure and the unevenness characteristics of precipitation are rarely considered. This study applied a two-stage bias correction to daily precipitation and max/min temperature data in the Daqing River Basin (DQRB) with the HadGEM3-RA climate model. Validated from 1981 to 2015, future scenarios under two emission paths covering 2031-2065 and 2066-2100 were projected to assess variations in both the amount and unevenness of precipitation. The results suggested that, overall, the two-stage bias correction could reproduce the marginal distributions of variables and the evolution process of the dependence

SUBMITTER: Gao X 

PROVIDER: S-EPMC8379070 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature