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Impacts of the Two Biggest Lakes on Local Temperature and Precipitation in the Yellow River Source Region of the Tibetan Plateau

机译:青藏高原黄河源区两个最大湖泊对局部气温和降水的影响。

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摘要

The Tibetan Plateau harbors thousands of lakes; however few studies focus on impacts of lakes on local climate in the region. To investigate and quantify impacts of the two biggest lakes (Ngoring Lake and Gyaring Lake) of the Yellow River source region in the Tibetan Plateau on local climate, two simulations (with and without the two large lakes) from May 2010 to July 2011 are performed and analyzed using the WRF-CLM model (the weather research and forecasting model coupled with the community land model). Differences between simulated results show that the WRF-CLMmodel could provide realistic reproduction of surface observations and has better simulation after considering lakes. Lakes mostly reduce the maximum temperature all year round and increase the minimum temperature except in March due to the large heat capacity that makes lakes absorb (release) more energy for the same temperature change compared to land. Lakes increase precipitation over the lake area and in the nearby region, mostly during 02-14 BT (Beijing Time) of July to October when the warm lake surface induces the low level horizontal convergence and updraft over lake and provides energy and vapor to benefit the development of the convection for precipitation.
机译:青藏高原上有数千个湖泊。然而,很少有研究关注湖泊对该地区当地气候的影响。为了调查和量化青藏高原黄河源区两个最大的湖泊(恩戈林湖和耶林湖)对当地气候的影响,于2010年5月至2011年7月进行了两次模拟(有和没有这两个大湖)并使用WRF-CLM模型(天气研究和预报模型以及社区土地模型)进行了分析。模拟结果之间的差异表明,WRF-CLM模型可以真实地再现地表观测结果,并且在考虑湖泊之后具有更好的模拟效果。与三月份相比,除三月份外,湖泊大部分都会降低全年的最高温度,并提高最低温度,这是因为大的热容量使湖泊在相同温度变化下比陆地吸收(释放)更多的能量。湖泊增加了整个湖区及附近地区的降水,主要是在7月至10月的BT 02-14(北京时间)期间,温暖的湖面引起湖上的低水平水平汇聚和上升,并提供能量和蒸汽,从而使湖泊受益。降水对流的发展。

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