TRMM资料观测的低、高频季内模态在印度夏季风降水中的时空结构及其作用

N. Karmakar, A. Chakraborty, R. Nanjundiah
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引用次数: 2

摘要

本研究利用热带降雨测量任务的降水估计来估计印度季风区北方夏季季节内时间尺度模式的强度和时空格局。利用多通道奇异谱分析,在季节内时间尺度上发现了两种主要的振荡模式,周期分别为10 - 20天和20- 60天。20 - 60天模式显示从赤道印度洋向北传播与热带对流系统向东传播模式有关。10 - 20日模态结构非常复杂,呈从印尼海岸向印度中部向西北方向传播的异常型。这种模式被发现可能与高纬度地区出现的向东传播的结构相互作用。两种季节内模态对总降水变率的贡献相当。20- 60天(10 - 20天)模态强度与全印度6 - 9月降水呈显著的负相关,且两模态强度在年际尺度上均表现出较强的变异性。该研究还表明,如果两个季节内模式在该地区表现出正(负)异常,那么在印度中部地区获得大量降雨(无降雨)的可能性会显著增加。本文还讨论了ISO强度与海温的关系。这项研究指出了这样一个事实,即对ISO阶段的了解可以提高印度降雨概率预报的技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The spatio-temporal structures and role of low- and high-frequency intraseasonal modes in Indian Summer monsoon rainfall observed in TRMM data
This study uses precipitation estimates from the Tropical Rainfall Measuring Mission to estimate the intensity and examine the spatiotemporal patterns in the modes found in intraseasonal timescale over the Indian monsoon region during boreal summer. Here, using multichannel singular spectrum analysis, two dominant modes of oscillations are found in the intraseasonal timescale with periodicity of 10–20-days and 20–60-days, respectively. 20–60-days mode shows northward propagation from the equatorial Indian Ocean linked with the eastward propagating modes of convective systems over the tropics. 10–20-days mode shows very complex structure with a northwestward propagating anomaly pattern emanating from the Indonesian coast moving towards central India. This pattern is found to have a possible interaction with a structure emerging from higher latitudes propagating southeastwards. The two intraseasonal modes contribute comparable amount to the total rainfall variability. The intensity of the 20–60-days (10–20-days) mode show significantly strong inverse (direct) relationship with all- India June–September rainfall and both the modes exhibit profound variability in their intensity in interannual scale. This study also establishes that the probability of getting good amount of rainfall (no rainfall) over central India increases significantly if the two intraseasonal modes exhibit positive (negative) anomalies over the region. Relation between the ISO intensities and sea surface temperature is also discussed. This study points towards the fact that the knowledge of ISO phases can increase the skill in the probabilistic forecasting of rainfall over India.
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