首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Future climate projection under IPCC A1B scenario in the source region of Yellow River with complex topography using RegCM3
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Future climate projection under IPCC A1B scenario in the source region of Yellow River with complex topography using RegCM3

机译:使用RegCM3的IPCC A1B情景下黄河源区复杂地形下的未来气候预测

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Located on the Tibetan Plateau, the source region of Yellow River has experienced remarkable climate change over past a few decades, which affects the regional ecosystem, agricultural development, and water availability. In this paper, high-resolution RegCM3 driven by ECHAM5 is applied to generate both control climate for 1980-2000 and regional climate projections for the 21st century (2010-2098) under the Intergovernmental Panel on Climate Change (IPCC) A1B emission scenario. For control climate, RegCM3 can well reproduce the spatial patterns of precipitation and surface air temperature with more detailed representation of fine scale topography. Wet and cold biases are produced in the simulation, but overall improvement by RegCM3 is evident compared to the driving global climate model (GCM) of ECHAM5. In the future projection, the model demonstrates significant warming over the whole analysis domain. Precipitation on the other hand shows mixed signals of reduction and increase over simulation domain, while the areas of precipitation reduction extend with increasing integration time and finally covermost parts of the domain at the end of 21~(st) century. As projection time increases, high altitude region will experience more precipitation reduction in summer and less reduction or even increase in winter. The winter warming at the high elevation area gets more evident than that at the low elevation area, which may be due to the snow feedback. Analyzing the change of probability distributions of surface climate, it can be concluded that the frequency of heavy precipitation in winter tends to increase with time indicating more extreme precipitation events in the future. The spectrum of temperature probability density functions (PDFs) moves toward higher end.
机译:黄河源区位于青藏高原,在过去的几十年中经历了显着的气候变化,这影响了该地区的生态系统,农业发展和水资源供应。在政府间气候变化专门委员会(IPCC)A1B排放情景下,本文使用ECHAM5驱动的高分辨率RegCM3生成1980-2000年的控制气候和21世纪(2010-2098)的区域气候预测。对于控制气候,RegCM3可以很好地再现降水和地表气温的空间格局,并能更精细地表示精细的地形。模拟中会产生湿偏和冷偏,但与ECHAM5的驱动全球气候模型(GCM)相比,RegCM3的整体改进是显而易见的。在未来的预测中,该模型将显示整个分析域的显着升温。另一方面,降水显示了模拟域减少和增加的混合信号,而降水减少的区域随着积分时间的增加而扩展,并最终在21世纪末覆盖了该域的大部分。随着投影时间的增加,高海拔地区的夏季降水减少更多,冬季减少甚至减少。高海拔地区的冬季变暖比低海拔地区的变暖更加明显,这可能是由于降雪反馈造成的。通过分析地表气候概率分布的变化,可以得出结论,冬季强降水的频率倾向于随时间增加,这表明将来会有更多的极端降水事件发生。温度概率密度函数(PDF)的频谱向高端发展。

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