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Precipitation simulation in global climate models: Impact of horizontal resolution and improved land surface scheme.

机译:全球气候模型中的降水模拟:水平分辨率和改进的地面方案的影响。

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This dissertation examines the improvement in the simulation of precipitation by using a high resolution model and a highly physically-based land surface scheme. To investigate the impact of the horizontal resolution on the simulated fields, six versions of NCAR's latest Community Climate Model (CCM2) are analyzed. The simulations were conducted for periods of 4-20 years. To study the effects of the improved land surface scheme in the model, the coupling of BATS to the standard model and a revised version of CCM2 with modified optical properties for clouds are compared.; It is evident that the refinement of the model resolution adds further accuracy to the simulation. The increased resolution of the model improves the definition of the major mountain ranges and the average surface topography of lands and oceans. The taller mountains in a high resolution model play an important role in modifying the vapor flux over the land surface. They obstruct more water flow and reduce the specific humidity and the total precipitable water over land. The vapor transport to the land surface is also partly influenced by the changes in the large scale circulation. The adjusted surface pressures over the sea surface levels simulate more closely the position and magnitude of the observed pressure systems.; A major problem in CCM2 is the excessive surface radiation, which is up to 50-100 Wm{dollar}sp{lcub}-2{rcub}{dollar} higher than the Surface Radiation Budget (SRB) dataset over vast areas in the summer hemisphere. At a high resolution, the lower land clouds reduce the planetary albedo and allow more solar radiation to reach the surface. But in spite of this, the high resolution model improves the amount and distribution of the land precipitation. The RCCM2-BATS model, which increases the optical thickness of the summer clouds, substantially reduces the overestimate of the surface radiation. This helps reduce the large discrepancies obtained in summer precipitation. The land surface scheme predicts the regional climate more accurately than the standard model, but its performance is restricted by the inputs and does not show any major improvement in precipitation predictions which are mainly controlled by various processes in the atmospheric model.
机译:本文通过高分辨率模型和高度物理化的地面方案研究了降水模拟的改进。为了调查水平分辨率对模拟场的影响,分析了NCAR最新的社区气候模型(CCM2)的六个版本。模拟进行了4-20年的时间。为了研究模型中改进的陆面方案的效果,比较了BATS与标准模型的耦合以及具有修改后的云光学特性的CCM2修订版。显然,模型分辨率的提高进一步提高了模拟的准确性。模型分辨率的提高改善了主要山脉的定义以及陆地和海洋的平均表面地形。高分辨率模型中的较高山峰在改变陆地表面的蒸气通量方面起着重要作用。它们阻碍了更多的水流,并降低了土地上的比湿度和总可沉淀水量。蒸气向陆地表面的输送还受到大规模循环变化的部分影响。在海平面上调整的表面压力更紧密地模拟了观测到的压力系统的位置和大小。 CCM2中的一个主要问题是过多的表面辐射,比夏季大面积的表面辐射预算(SRB)数据集高50-100 Wm {dollar} sp {lcub} -2 {rcub} {dollar}半球。在高分辨率下,较低的陆地云减少了行星反照率,并允许更多的太阳辐射到达地表。但是,尽管如此,高分辨率模型仍改善了土地降水的数量和分布。 RCCM2-BATS模型增加了夏云的光学厚度,从而大大降低了对表面辐射的高估。这有助于减少夏季降水中出现的较大差异。地表方案比标准模型更准确地预测了区域气候,但是其性能受到输入的限制,并且在降水预测中没有显示出任何重大改进,而降水预测主要由大气模型中的各种过程控制。

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