Hemin Sun

TL;DR: To assess future drought losses, the regional gross domestic product under shared socioeconomic pathways instead of using a static socioeconomic scenario is predicted and increasing precipitation and evapotranspiration patterns are identified for the 1.5 °C and 2.0 °C global warming above the preindustrial at 2020–2039 and 2040–2059, respectively.

TL;DR: In this article, the authors used the regional climate model COSMO-CLM (CCLM) to assess changes in precipitation patterns under two scenarios in which the global mean temperature increases by 1.5°C and 2.0°C relative to pre-industrial levels.

TL;DR: Based on outputs from regional climate model COSMO-CLM (CCLM), climate conditions in the Haihe River Basin (HRB) under the 1.5 and 2.0°C global warming scenarios were projected.

TL;DR: In this paper, the impacts of climate change on hydrological regime in the Upper Yangtze River Basin based on four downscaled and bias-corrected Global Climate Model outputs from Coupled Model Intercomparison Project Phase 5 under four Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, and RCP8.5) were evaluated.

TL;DR: In this paper, the authors used daily maximum temperature data (1986-2100) from the COSMO-CLM regional climate model and the population statistics for China in 2010 to determine the frequency, intensity, coverage, and population exposure of extreme maximum temperature events (EMTEs) with the intensity-area-duration method.