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Decrease in the summer rainfall of the southern United States coast and the Caribbean due to climate change

机译:由于气候变化,美国南部海岸和加勒比海的夏季降雨量减少

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Simulations from the North American Regional Climate Change Assessment Program(NARCAPP) Geophysical Fluid Dynamics Laboratory (GFDL) AM2.1 timeslice experiment, forcurrent climate (1971-2000) and future climate (2041-2070), were compared and contrasted toassess how May through October accumulated rainfall is responding to climate change along thesouthern United States coast and in the Caribbean under the Intergovernmental Panel on ClimateChange (IPCC) A2 emissions scenario (a scenario of relatively high emissions increase). Thesimulations were done on a global domain at a horizontal resolution of roughly 50 km.There is an overall decrease of about 200 mm (30 percent) in the May through Octoberrainfall in the region of the southern United States coast and the Caribbean. The absolutedecrease is larger in the regions that receive the most rain. However, proportionally, the decreaseis larger in the regions that receive the least rain. For the subregion of Florida, rainfall time seriesindicate a delay of the region?s late wet period in the future climate. This shift needs to be furtherexamined to determine its significance and underlying physical processes. Florida also receivedless rainfall in future climate, but the standard deviation of the early and late wet periods wasfound to be larger. This is in accord with the findings of the IPCC of an increase in globalextremes as a result of climate change. In a future study, the time series for four other subregionswill be analyzed.
机译:来自北美区域气候变化评估计划的模拟 (NARCAPP)地球物理流体动力学实验室(GFDL)AM2.1时间片实验,用于 比较并对比了当前气候(1971-2000年)和未来气候(2041-2070年) 评估五月至十月的累积降雨量如何响应沿途的气候变化 政府间气候小组领导下的美国南部海岸和加勒比海地区 变更(IPCC)A2排放情景(排放增加相对较高的情景)。这 在全球范围内以大约50 km的水平分辨率进行了模拟。 从五月到十月,总体减少了约200毫米(30%) 美国南部海岸和加勒比海地区的降雨。绝对的 在降雨最多的地区,降幅更大。但是,按比例减少 在降雨最少的地区更大。对于佛罗里达州次区域,降雨时间序列 表明未来气候中该地区的后期潮湿期有所延迟。这种转变需要进一步 检查以确定其重要性和潜在的物理过程。佛罗里达州也收到了 未来气候中的降雨较少,但早期和晚期湿润期的标准偏差为 发现更大。这符合IPCC的调查结果,即全球 气候变化导致的极端情况。在未来的研究中,其他四个次区域的时间序列 将进行分析。

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