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Simple physical-empirical model of the precipitation distribution based on a tropical sea surface temperature threshold and the effects of climate change

机译:基于热带海表温度阈值和气候变化影响的降水分布的简单物理经验模型

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The observed nonlinear relationship between tropical sea surface temperature () and precipitation (P) on climate timescales, by which a threshold () must be exceeded by in order for deep convection to occur, is the basis of a physical-empirical model (PEM) that we fitted to observational data and CMIP5 climate model output and used to show that, with essentially only two constant parameters ( and the sensitivity of P to ), it provides a useful first-order description of the climatological and interannual variability of the large-scale distribution of tropical P given , as well as of the biases of the Global Climate Models (GCMs). A substantial limitation is its underestimation of the peak P in the convergence zones, as the necessary processes associated with the atmospheric circulation are not considered. The pattern of the intermodel correlation between the mean for each GCM and the average P distribution is in agreement with the double ITCZ bias, featuring roughly zonally-symmetric off-equatorial maxima, rather than being regionally or hemispherically restricted. The inter-comparison of GCMs indicates a relationship between with the near-equatorial low-level (850 hPa) tropospheric temperature, consistent with the interpretation that it is a measure of the convective inhibition (CIN). The underestimation of is linked to the cold free tropospheric bias in the GCMs. However, the discrepancy among the observational datasets is a limitation for assessing the GCM biases from the PEM framework quantitatively. Under the RCP4.5 climate change scenario, increases slightly more than the mean tropical , implying a stabilizing trend consistent with the amplified free tropospheric warming relative to the surface. However, since increases by 10-50%/C with the surface warming, its effect dominates and results in generally positive precipitation change () in the equatorial regions. In the equatorial eastern-central Pacific cold tongue, is positive, but the absolute remains small, which explains the double band pattern of along the equatorial flanks of the spuriously strong double ITCZs. When the GCM biases are corrected in the PEM, the positive in the southeast Pacific and Atlantic oceans is substantially reduced.
机译:物理经验模型(PEM)的基础是,在气候时间尺度上观察到的热带海表温度()和降水(P)之间的非线性关系,必须超过该阈值才能发生深对流,我们拟合到观测数据和CMIP5气候模型的输出,并用来表明,基本上只有两个常数参数(以及P对的敏感性),它为大气候的气候和年际变化提供了有用的一阶描述。给定的热带P的尺度分布以及全球气候模型(GCM)的偏差。一个主要的限制是它低估了会聚区中的峰值P,因为未考虑与大气环流相关的必要过程。每个GCM的平均值与平均P分布之间的模型间相关性模式与ITCZ双偏差一致,该特征具有大致纬向对称的赤道最大值,而不是受到区域或半球约束。 GCM的比对表明与对流层近赤道低层温度(850 hPa)之间的关系,这与对流抑制(CIN)的量度的解释一致。的低估与GCM中的冷对流层偏向有关。但是,观测数据集之间的差异是从PEM框架定量评估GCM偏差的局限性。在RCP4.5气候变化情景下,其增幅略高于热带平均水平,这意味着稳定趋势与对流层相对于地表的自由变暖相一致。但是,由于随着表面变暖而增加10-50%/ C,因此其作用起主导作用,并导致赤道区域的降水变化总体呈正值。在赤道中东部的太平洋冷舌中,它是正的,但绝对值仍然很小,这解释了假性强的双ITCZ沿赤道侧面的双波段模式。当在PEM中纠正GCM偏差时,东南太平洋和大西洋的正值将大大减少。

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