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1基于WRF驱动的CLM模型对青藏高原地区陆面过程模拟研究显示文摘NCAR-CLM是目前国际上发展较为完善的陆面过程模型.鉴于大多数研究利用气象站点的数据驱动CLM模型,尝试将WRF气候模型的模拟结果作为驱动CLM的面上强迫场数据来对青藏高原陆面能量特征进行模拟研究.对WRF气候模型模拟的输出结果与青藏高原气象站观测数据进行比较分析表明,WRF模拟输出的气温和向下短波辐射数值与观测值的相关系数大于0.92(p>0.05),气压和比湿的R2在0.80以上(p>0.05),降雨和风速的模拟性能不稳定,但WRF模拟输出的强迫场也可以作为CLM模型的驱动数据.CLM模拟的地表温度、感热和潜热通量与青藏高原气象站观测的地表温度以及涡度通量数据验证分析表明,虽然CLM对地表温度的模拟在合理范围内,但模拟与观测值还是有较大偏差,潜热和感热之间的相关系数分别为0.87和0.68(p>0.05),表明CLM的模拟结果在单点上是可靠的.据此,在此模拟结果基础上分析了青藏高原地区的陆面能量时空分布特征.罗立辉 张耀南 周剑 潘小多 孙维君 2013冰川冻土2013,35,3:14
2Snow depth simulated by BATS-SAST model and its improvement显示文摘A BATS-SAST model was employed to simulate the snow processes in four snow cases of Sk_OJP 2001/2002, 2002/2003, 2003/2004 and Sk_HarvestJP 2003/2004 of Canada. At Sk_OJP site we modified the long-wave radiation and precipitation schemes. Considering the different interceptions between rain and snow and the effect of wind and canopy temperature on snow download, we improved the canopy interception model. At Sk_HarvestJP site we modified the snow cover fraction scheme. Results show that the model reasonably simulates the basic processes of snow cover. The modified model, which considers the part of the long-wave radiation and precipitation transmitted through the canopy at Sk_OJP site, can increase the simulation of snow depth which is closer to the observations. The improved canopy interception model, which influences the variation of snow depth under the canopy by changing canopy interception, is a great improvement on simulation of snow depth, especially on the ablation of snow cover. At Sk_HarvestJP site, there are obvious improvements on simulation of snow depth on the ablation of snow cover.Kun Xia Yong Luo WeiPing Li 2010Research in Cold and Arid Regions2010,2,4:0
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