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人工智能拓展火灾安全研究的进展
From The Sky To The Sea
清华大学材料科学与工程研究院《材料科学论坛》:基于拓扑缺陷理论的轻合金组织设计新...
Quantum information processing based on bosonic modes
报告题目:
全球变化科学紫荆论坛(第201期):A new mechanism for warm-season precipitation response to global warming
 报告人:
Prof. Aiguo Dai
Depeartment of Atmospheric and Environmental Sciences, 
University at Albany, SUNY, Albany, New York, USA
报告时间:
2017-06-22 10:30
报告地点:
蒙民伟科技大楼南楼S1021
主办单位:
地球系统科学系
  简介:
Climate models project increasing precipitation intensity but decreasing frequency as greenhouse gases (GHGs) increase. However, the exact mechanism for the frequency decrease remains unclear. Here we investigate this by analyzing hourly data from regional climate change simulations with 4km grid spacing covering most of North America using the Weather Research and Forecasting (WRF) model. The model was forced with present and future boundary conditions, with the latter being derived by adding the CMIP5 19-model ensemble mean changes to the ERA-interim reanalysis. The model reproduces well the observed seasonal and spatial variations in precipitation frequency and histograms, and the dry interval between rain events over the contiguous U.S. (CONUS). Results show that overall precipitation frequency indeed decreases during the warm season mainly due to fewer light-moderate precipitation (0.1£2.0mm/hr) events, while heavy (2£10mm/hr) to very heavy precipitation (P>10mm/hr) events increase.
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