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Pacific sea surface temperature linkages with Tanzania's multi-season drying trends

机译:与坦桑尼亚的多季干燥趋势太平洋海面温度联系

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摘要

During 1999-2014, Tanzania experienced below average precipitation in two important seasons: December to February (DJF) in the south and during March to June (MAMJ) in the northeast. We explore DJF and MAMJ precipitation in the areas with drying trends and examine their relationships with anomalous sea surface temperatures (SSTs) in the Indo-Pacific and corresponding circulation patterns. At seasonal time scales, precipitation in DJF and MAMJ trend areas appears inversely related to diabatic forcing in the equatorial Pacific. Dominant influence for droughts in DJF is eastern Pacific SST while for droughts in MAMJ it is West Pacific SST. A bivariate regression model with West Pacific and Nino3.4 region SST as predictors is found to recreate multidecadal DJF variability after the 1950s and the extreme drying in MAMJ during the 2000s. The regression model coefficients also indicate differential eastern versus western Pacific forcing for DJF versus MAMJ. Thus, we suggest that recent La Nina-like conditions, characterized by an enhanced Pacific SST gradient due to cooling in the eastern Pacific and warming in the western Pacific, played a substantial role in Tanzania's recent multi-season drying trends. SST change scenarios (difference between 2023-2037 and 2000-2014 means) based on CMIP5 projections and observed trends illustrate the uncertainty of future precipitation outcomes, as well as the potential implications of contrasting linkages to eastern versus western Pacific SSTs. These scenarios are mainly optimistic for the DJF southern Tanzania trend area, because it appears dominated by Nino3.4 cooling at both seasonal and decadal time scales. Conversely, our scenarios are quite pessimistic for the MAMJ northeastern Tanzania trend area, because we find a dominant negative influence of warming West Pacific SST.
机译:在1999 - 2014年期间,坦桑尼亚在两个重要季节的平均降水量以下:12月到2月(DJF)在南部和3月至6月(MAMJ)的东北部。我们在具有干燥趋势的地区探索DJF和MAMJ降水,并在印度 - 太平洋和相应的循环模式中检查其与异常海面温度(SST)的关系。在季节性尺度上,DJF和MAMJ趋势地区的降水与赤道太平洋的糖尿病迫使呈现与糖尿病迫使。 DJF中干旱的主导影响是东太平洋SST,而MAMJ的干旱是西太平洋SST。与西太平洋和NINO3.4区域SST的一款双重变量回归模型作为预测因子被发现在20世纪50年代之后重新创建多型DJF变异,并在2000年代MAMJ中的极端干燥。回归模型系数还表示差分东部与西太平洋对DJF而不是MAMJ。因此,我们建议最近的La Nina样条件,其特点是由于在西太平洋东部的冷却和在西太平洋的变暖而引起了增强的太平洋SST梯度,在坦桑尼亚最近的多赛季干燥趋势中发挥了重要作用。 SST改变情景(2023-2037和2000-2014的差异)基于CMIP5预测和观察到的趋势说明了未来降水结果的不确定性,以及对比联系与西太平洋SST的潜在影响。这些方案主要对坦桑尼亚DJF Southern趋势区域持乐观态度,因为它似乎在季节性和截止时间尺度的Nino3.4冷却。相反,我们的情景对于坦桑尼亚·东北趋势地区的Mamj东北趋势地区非常悲观,因为我们发现温暖的西太平洋SST的主导负面影响。

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