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首页> 外文期刊>Atmosphere >Influence of ENSO on Regional Indian Summer Monsoon Precipitation—Local Atmospheric Influences or Remote Influence from Pacific
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Influence of ENSO on Regional Indian Summer Monsoon Precipitation—Local Atmospheric Influences or Remote Influence from Pacific

机译：ENSO对印度夏季风区域降水的影响-局部大气影响或太平洋偏远影响

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Using CMIP5 model outputs in different El Ni?o-Southern Oscillation (ENSO) phases, this work investigates the indicator that could be used as an Index to characterise regional Indian Summer Monsoon (ISM) precipitation. Dividing the Indian subcontinent into five arbitrarily chosen regions, viz. Central North East (CNE) (18°N–31°N, 86°E–75°E), Hilly (H) (28°N–38°N, 85°E–70°E), North West (NW) (21°N–31°N, 79°E–67°E), North East (NE) (21°N–31°N, 86°E–97°E) and Southern India (S) (18°N–7°N, 73°E–85°E), local wind field and remote influences from the tropical Pacific are considered to improve understanding of regional monsoon rainfall. Results are also compared with observations/reanalysis data to pinpoint areas of shortcomings and agreements. Model results suggest that regional wind velocity, viz. meridional wind component (V) at 850 mb level (V850) and zonal component at 200 mb (U200) and 850 mb (U850) can yield better estimation of local precipitation in regions CNE, H and NW, agreeing well with earlier proposed monsoon Indices. Such observations are independent of different subcategories of ENSO phases and models show good correspondence with observations. Analyses with V at 200 mb (V200) indicate circulation of the upper branch of Hadley cells in regions CNE and S, though suggest the best agreement among models in comparison with other fields, but there are some deviations from observations, indicating a missing mechanism in the models. Using models, this study identified the best parameter in different regions that could be used for the regional monsoon Index, irrespective of various ENSO subcategories; for CNE it is the U200, for H it is U200 and U850, and for NW it is U850. The current analysis, however, fails to indicate anything clearly about the NE region. When focusing on the remote influence from the eastern Pacific region, it is found that atmospheric contribution to regional ISM precipitation fails to indicate consistent roles among models, but sea surface temperature suggests strong connection. However, remote influence from the Central Pacific is captured uniformly in models via zonal components of wind in the H and NW regions.
机译：使用不同El Ni？o-南方涛动（ENSO）阶段的CMIP5模型输出，这项工作研究了可用作指标的指标，以表征印度夏季风（ISM）区域的降水。将印度次大陆划分为五个任意选择的区域，即。东北中部（CNE）（18°N–31°N，86°E–75°E），丘陵（H）（28°N–38°N，85°E–70°E），西北（NW ）（21°N–31°N，79°E–67°E），东北（NE）（21°N–31°N，86°E–97°E）和印度南部（S）（18° N-7°N，73°E-85°E），局部风场和热带太平洋的遥远影响被认为有助于增进对区域季风降雨的了解。还将结果与观察/再分析数据进行比较，以找出缺点和协议的领域。模型结果表明区域风速，即。 850 mb（V850）的子午风分量（V）和200 mb（U200）和850 mb（U850）的纬向分量可以更好地估计CNE，H和NW地区的局部降水，这与较早提出的季风指数非常吻合。这些观测结果与ENSO阶段的不同子类别无关，并且模型显示出与观测值的良好对应性。 V在200 mb（V200）处的分析表明，CNE和S区域Hadley细胞的上部分支循环，尽管与其他领域相比，模型之间的一致性最佳，但与观测值存在一些偏差，表明该机制缺失模型。使用模型，本研究确定了可用于区域季风指数的不同区域的最佳参数，而与ENSO的各个子类别无关。 CNE是U200，H是U200和U850，而NW是U850。但是，当前的分析未能清楚地表明有关NE区的任何信息。当关注东太平洋地区的远程影响时，发现大气对区域ISM降水的贡献未能表明各模式之间的一致作用，但海表温度表明存在强联系。但是，通过H和NW区域中风的纬向分量在模型中统一捕获了来自中太平洋的远程影响。

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