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Assessment of CMIP5 climate models over South Asia and climate change projections over Pakistan under representative concentration pathways

机译:在代表性浓度途径下评估南亚和南亚气候模型的CMIP5气候模型和气候变化预测

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摘要

Future climate change projections from global climate models (GCMs) are the primary drivers of regional downscaling and impacts research. Climate projections are also in increased demand from disaster management agencies, policymakers, and other stakeholders. A set of 36 global climate models from the Coupled Model Inter-Comparison Project Phase 5 (CMIP5) is assessed for their performance over South Asia region for making future climate projection with a focus on Pakistan and its sub-regions. A suite of statistics was calculated to assess the credibility of GCMs with the observed statistics. The results show that GCMs have the ability to approximately capture the spatial patterns of temperature; however, the accuracy of precipitation simulation is relatively low. The future projection generated by the GCMs shows that temperature in Pakistan will increase in the 21st century by around 6.7 degrees C under the RCP 8.5 scenarios and with increasing latitude, this warming is getting accelerated.
机译:来自全球气候模型(GCMS)的未来气候变化预测是区域缩小和影响研究的主要驱动因素。灾难管理机构,政策制定者和其他利益攸关方的需求也增加了气候预测。从耦合模型相互比较项目阶段5(CMIP5)的一组36个全球气候模型被评估了他们对南亚地区的表现,以便将来的气候预测重点放在巴基斯坦及其子地区。计算出一套统计数据,以评估GCMS与观察到的统计数据的可信度。结果表明,GCM能够大致捕获温度的空间模式;然而,降水模拟的准确性相对较低。 GCMS产生的未来投影显示,巴基斯坦的温度将在RCP 8.5场景下大约6.7摄氏度和纬度越来越大,这一变暖正在加速。

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