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Dynamically Downscaled Precipitation over Northern California Based on CMIP5 Future Climate Projections

机译:基于CMIP5未来气候预测的北加州降水动态下降

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Precipitation over Northern California under future climate conditions was obtained by dynamically downscaling IPCC CMIP5 future climate projection realizations. Six different future climate projection realizations from three general circulation models (GCMs: CCSM4, HadGEM2ES and MIROC5) based on two CMIP5 future climate scenarios (RCP4.5 and RCP8.5) were dynamically downscaled at 9 km resolution grids over eight study watersheds in Northern California for a period of 90 water years (2011 through 2100) by means of a regional climate model, the weather research and forecasting (WRF) model. Before investigating future climate change impacts based on the projections, model biases were corrected by comparing the dynamically downscaled precipitation based on the historical runs of the GCMs with the corresponding observations. The bias-corrected results were used to calculate basin-average precipitation over the eight study watersheds. Here some results of basin-average precipitation over the eight stud watershed are presented.
机译:通过动态缩小IPCC CMIP5未来气候预测的实现范围,获得了未来气候条件下北加州的降水。在两个北部IPCM5未来气候情景(RCP4.5和RCP8.5)的基础上,基于三个常规循环模型(GCM:CCSM4,HadGEM2ES和MIROC5)的六个不同的未来气候预测实现以9 km的分辨率网格在北部的八个研究流域上动态缩小通过区域气候模型,天气研究和预报(WRF)模型,加利福尼亚州经历了90个水年(从2011年到2100年)。在根据预测调查未来气候变化影响之前,通过将基于GCM历史运行的动态降尺度降水与相应观测值进行比较来校正模型偏差。偏差校正后的结果用于计算八个研究流域的流域平均降水量。这里介绍了八个螺柱流域的流域平均降水量的一些结果。

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