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Xu Ying

Researcher at China Meteorological Administration

Publications -  11
Citations -  277

Xu Ying is an academic researcher from China Meteorological Administration. The author has contributed to research in topics: China & Precipitation. The author has an hindex of 7, co-authored 11 publications receiving 205 citations.

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Projected changes in temperature and precipitation extremes over China as measured by 50-yr return values and periods based on a CMIP5 ensemble.

TL;DR: In this paper, future changes in the 50-yr return level for temperature and precipitation extremes over mainland China are investigated based on a CMIP5 multi-model ensemble for RCP2.6, RCP4.5 and RCP8.5 scenarios.
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Future changes in thermal comfort conditions over China based on multi-RegCM4 simulations

TL;DR: A set of high resolution (25 km) 21st century climate change projections using the regional climate model RegCM4 driven by four global model simulations were conducted over East Asia under the mid-1990s.
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Response of precipitation and its extremes over china to warming: cmip5 simulation and projection

TL;DR: Based on 24 Coupled Model Intercomparison Project Phase 5 (CMIP5) models simulations, the responses of annual precipitation and precipitation extremes (R95p and R99p defined by ETCCDI) to warming in China are analyzed as discussed by the authors.
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Change in Extreme Climate Events over China Based on CMIP5

TL;DR: The changes in a selection of extreme climate indices (maximum of daily maximum temperature (TXx), minimum of daily minimum temperature (TNn), annual total precipitation when the daily precipitation exceeds the 95th percentile of wet-day precipitation (Very wet days, R95p), and the maximum number of consecutive days with less than 1 mm of precipitation (consecutive dry days, CDD)) were projected using multi-model results from phase 5 of the Coupled Model Intercomparison Project in the early, middle, and latter parts of the 21st century under different Representative
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Projected Flood Risks in China Based on CMIP5

TL;DR: Based on the simulations of 22 CMIP5 models in combination with socio-economic data and terrain elevation data, the spatial distribution of risk levels of flood disaster and the vulnerability to flood hazards in China are projected under the RCP85 greenhouse gas emissions scenario as mentioned in this paper.