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Regional patterns of sea surface temperature change: a source of uncertainty in future projections of precipitation and atmospheric circulation.

机译:海面温度变化的区域格局:未来降水和大气环流预测的不确定性来源。

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Precipitation change in response to global warming has profound impacts on environment for life but is highly uncertain. Effects of sea surface temperature (SST) warming on the response of rainfall and atmospheric overturning circulation are investigated using Coupled Model Intercomparison Project simulations. The SST warming is decomposed into a spatially uniform SST increase (SUSI) and deviations from it. The SST pattern effect is found to be important in explaining both the multimodel ensemble mean distribution and intermodel variability of rainfall change over tropical oceans. In the ensemble mean, the annual rainfall change follows a "warmer-get-wetter" pattern, increasing where the SST warming exceeds the tropical mean, and vice versa. Two SST patterns stand out both in the ensemble mean and intermodel variability: an equatorial peak anchoring a local precipitation increase and a meridional dipole mode with increased rainfall and weakened trade winds over the warmer hemisphere. These two modes of intermodel variability in SST account for one-third of intermodel spread in rainfall projection. The SST patterns can explain up to four-fifths of the intermodel variability in intensity changes of overturning circulations. SUSI causes both the Hadley and Walker circulations to slow down, as articulated by previous studies. The weakening of the Walker circulation is robust across models as the SST pattern effect is weak. The Hadley circulation change, by contrast, is significantly affected by SST warming patterns. As a result, near and south of the equator, the Hadley circulation strength change is weak in the multimodel ensemble mean and subject to large intermodel variability due to the differences in SST warming patterns.
机译:响应全球变暖的降水变化对生活环境产生了深远影响,但不确定性很高。利用耦合模型比较项目模拟研究了海表温度变暖对降雨和大气翻转环流响应的影响。 SST升温被分解为空间均匀的SST增量(SUSI)并与其偏离。发现SST模式效应对于解释热带海洋降水变化的多模型集合平均分布和模型间变化都具有重要意义。在总体平均水平上,年降水量的变化遵循“变暖—变暖”的模式,当SST变暖超过热带平均水平时,降水量会增加,反之亦然。总体均值和模式间的变化都表现出两种SST模式:赤道峰锚定了局部降水的增加,子午偶极子模式伴随着降雨的增加和较温暖的半球上减弱的贸易风。 SST的这两种模式间变异性模式占降雨预测模型间分布的三分之一。 SST模式最多可以解释倾覆环流强度变化中模型间差异的五分之四。如先前的研究所述,SUSI导致Hadley和Walker的循环减慢。由于SST模式效应较弱,因此Walker循环的减弱在各个模型中均很可靠。相比之下,哈德利环流的变化受SST升温模式的影响很大。结果,在赤道附近和南部,哈德利环流强度变化在多模式集合均值中较弱,并且由于海表温度变暖模式的差异而受到较大的模式间差异。

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