This study presents a model to forecast the Indian summer monsoon rainfall（ISMR）（June-September）based on monthly and seasonal time scales. The ISMR time series data sets are classified into two parts for modeling ...This study presents a model to forecast the Indian summer monsoon rainfall（ISMR）（June-September）based on monthly and seasonal time scales. The ISMR time series data sets are classified into two parts for modeling purposes, viz.,（1） training data set（1871-1960）, and（2） testing data set（1961-2014）.Statistical analyzes reflect the dynamic nature of the ISMR, which couldn＇t be predicted efficiently by statistical and mathematical based models. Therefore, this study suggests the usage of three techniques,viz., fuzzy set, entropy and artificial neural network（ANN）. Based on these techniques, a novel ISMR time series forecasting model is designed to deal with the dynamic nature of the ISMR. This model is verified and validated with training and testing data sets. Various statistical analyzes and comparison studies demonstrate the effectiveness of the proposed model.展开更多
This study evaluates the simulation of summer rainfall changes in the Northern Indian Ocean (NIO) based on the fifth phase of Coupled Model Intercomparison Project (CMIP5). The historical runs of 20 CMIP5 coupled Gene...This study evaluates the simulation of summer rainfall changes in the Northern Indian Ocean (NIO) based on the fifth phase of Coupled Model Intercomparison Project (CMIP5). The historical runs of 20 CMIP5 coupled General Circulation Models (GCMs) are analyzed. The Multi-Model ensemble (MME) of the CMIP5 models well reproduces the general feature of NIO summer rainfall. For a short period 1979?2005, 14 out of 20 models show an increased trend in the mean rainfall and a similar spatial distri-bution to the Global Precipitation Climatology Project (GPCP) observations in MME. The increasing of the convergence in the equatorial IO results in the increase of rainfall significantly. The equatorial rainfall trend patterns seem modulated by the SST warm-ing in the tropical Indian Ocean, which confirm the mechanism of 'warmer-get-wetter' theory. For a long period 1950?2005, the trend of monsoon rainfall over India shows a decrease over the most parts of the India except an increase over the south corn er of the Indian Peninsula, due to a weakened summer monsoon circulation. The pattern is well simulated in half of the CMIP5 models. The rainfall over the north India is different for a short period, in which rainfall increases in 1979?2005, implying possible decadal varia-tion in the NIO summer climate.展开更多
In India,large-scale climatic oscillations have strong influences on the Indian summer monsoon rainfall(ISMR),which plays a crucial role in India’s agricultural production and economic growth.However,there are limite...In India,large-scale climatic oscillations have strong influences on the Indian summer monsoon rainfall(ISMR),which plays a crucial role in India’s agricultural production and economic growth.However,there are limited studies in India that explore the influences of decadal and multidecadal oscillations on the ISMR and associated El Niño–Southern Oscillation(ENSO).Therefore,in this study we carried out a comprehensive and detailed investigation to understand the influences of ENSO,Pacific decadal oscillation(PDO),and Atlantic multidecadal oscillation(AMO)on ISMR across different regions in India.The statistical significance of ISMR associated with different phases(positive/warm and negative/cold)of ENSO,PDO,and AMO(individual analysis),and combined ENSO–AMO,and ENSO–PDO(coupled analysis)were analysed by using the nonparametric Wilcoxon Rank Sum(WRS)test.The individual analysis results indicate that in addition to the ENSO teleconnection,AMO and PDO significantly affect the spatial patterns of ISMR.Coupled analysis was performed to understand how the phase shift of PDO and AMO has modulated the rainfall during El Niño and La Niña phases.The results indicate that the La Niña associated with a positive PDO phase caused excessive precipitation of about 21%–150%in the peninsular,west–central,and hilly regions compared to the individual effect of ENSO/PDO/AMO on ISMR;similarly,the west–central,coastal,and northwest regions received 15%–56%of excessive rainfall.Moreover,during the El Niño combined with PDO positive(AMO positive),above-normal precipitation was observed in hilly,northeast,and coastal(hilly,northeast,west–central,and coastal)regions,opposite to the results obtained from the individual ENSO analysis.This study emphasizes the importance of accounting the decadal and multidecadal forcing when examining variations in the ISMR during different phases of ENSO events.展开更多
The Tibetan Plateau(TP)is considered to be the‘‘Third Pole”of the earth because of its huge area(5 million km2),its high elevation(>4000 m average altitude),and the presence of more than 100,000 km2 of glaciers ...The Tibetan Plateau(TP)is considered to be the‘‘Third Pole”of the earth because of its huge area(5 million km2),its high elevation(>4000 m average altitude),and the presence of more than 100,000 km2 of glaciers in this northern mid-latitude region.As a result of these factors,the TP influences both short-term regional and large-scale atmospheric circulation and long-term climate change[1].More than ten large rivers originate from the TP and constitute an essential water supply for nearly one sixth of the global population.Hence the TP is often referred to as‘‘the water tower of Asia”[1,2].Variations of summer rainfall over the TP greatly impact inland closed lakes,river discharge,glaciers,plant phenology,and natural hazards[2].展开更多
The Indian Ocean （IO） sea surface temperature （SST） was analyzed by using empirical orthogonal function （EOF）, and the leading mode of Indian Ocean （LMIO） SST was extracted. The major spatial and temporal char...The Indian Ocean （IO） sea surface temperature （SST） was analyzed by using empirical orthogonal function （EOF）, and the leading mode of Indian Ocean （LMIO） SST was extracted. The major spatial and temporal characters of LMIO were discussed, and the relationships between LMIO with Indian summer monsoon （ISM） and with China summer rainfalls （CSR） were investigated, then the impacts of LMIO on Asian summer monsoon （ASM） circulation were explored. Some notable results are obtained： The significant evolutional characters of LMIO are the consistent warming trend of almost the whole IO basin, the distinctive quasi-3- and quasi-ll-yr oscillations and remarkably interdecadal warming in 1976/1977 and 1997/1998, respectively. The LMIO impaired the lower level circulation of ISM and was closely related with the climate trend of CSR. It was associated with the weakening of South Asian high, the easterly winds south of the Tibetan Plateau, and the cross-equatorial flows over 10°-20°N, 40°-110°E at the upper level; with the strengthening of Somali cross-equatorial jet but the weakening of the circulation of ISM in the sector of India, the strengthening of south wind over the middle and lower reaches of Yangtze River and South China but the weakening of southwesterly winds over North China at lower level and with the increasing of surface pressure over the Asian Continent. Changes in the moisture flux transports integrated vertically over the whole troposphere associated with LMIO are similar to those in the lower level circulation. To sum up, the significant SST increasing trend of IO basin was one of the important causes for weakening of the ASM circulation and the southwards shifting of China summer rainband.展开更多
利用国家气候中心160站月平均降水资料、印度热带气象研究所的全印度月平均降水资料和NCEP/NCAR的再分析资料,从年际和年代际角度分别研究了欧亚遥相关型(Eurasian teleconnection,EU)对印度夏季风与华北夏季降水关系的影响,并探究其物...利用国家气候中心160站月平均降水资料、印度热带气象研究所的全印度月平均降水资料和NCEP/NCAR的再分析资料,从年际和年代际角度分别研究了欧亚遥相关型(Eurasian teleconnection,EU)对印度夏季风与华北夏季降水关系的影响,并探究其物理机制。结果表明,EU与印度夏季风之间的相关系数只有-0.078,二者相互独立。印度夏季风与华北夏季降水有正相关关系(Indian Summer Monsoon and North China Summer Rainfall,ISM-NCSR),且在正EU位相时,ISM-NCSR关系较弱;负EU位相时,ISM-NCSR关系较强。这是由于EU负位相时,贝加尔湖右侧存在反气旋环流,有利于北风及冷空气南下。因此,强印度季风时北上的暖湿气流在华北地区与偏北风相遇形成锋面,有利于华北降水;弱印度季风时华北地区完全被强北风控制,水汽输送通道被阻断,不利于降水,从而导致ISM-NCSR关系强。正EU位相时与此相反,相关关系弱。展开更多
The monthly mean geostrophic wind fields for January during 1951 - 1990 period are calculated by using data of500 hpa monthly mean height. The relation between Asia jetstream in winter and the important seasonal preci...The monthly mean geostrophic wind fields for January during 1951 - 1990 period are calculated by using data of500 hpa monthly mean height. The relation between Asia jetstream in winter and the important seasonal precipitationin East China is analysed. The analysis shows that the south branch of jetstream is stronger (weaker) in winter, therainfall will be more (less) than normal in the subsequent spring in South China, and summer rainfall in North Chinawill be more (less). too; these important rainy seasons are related to each other; the indian summer monsoon is notonly related to the summer rainfall in North China, but also related to the spring rainfall in South China and thesouth branch of jetstream in winter.展开更多
基金supported by the Department of Science and Technology (DST)-SERB, Government of India, under Grant EEQ/ 2016/000021
文摘This study presents a model to forecast the Indian summer monsoon rainfall（ISMR）（June-September）based on monthly and seasonal time scales. The ISMR time series data sets are classified into two parts for modeling purposes, viz.,（1） training data set（1871-1960）, and（2） testing data set（1961-2014）.Statistical analyzes reflect the dynamic nature of the ISMR, which couldn＇t be predicted efficiently by statistical and mathematical based models. Therefore, this study suggests the usage of three techniques,viz., fuzzy set, entropy and artificial neural network（ANN）. Based on these techniques, a novel ISMR time series forecasting model is designed to deal with the dynamic nature of the ISMR. This model is verified and validated with training and testing data sets. Various statistical analyzes and comparison studies demonstrate the effectiveness of the proposed model.
基金supported by the National Basic Research Program of China(2012CB955603,2010CB-950302)the Chinese Academy of Sciences(XDA 05090404,LTOZZ1202)
文摘This study evaluates the simulation of summer rainfall changes in the Northern Indian Ocean (NIO) based on the fifth phase of Coupled Model Intercomparison Project (CMIP5). The historical runs of 20 CMIP5 coupled General Circulation Models (GCMs) are analyzed. The Multi-Model ensemble (MME) of the CMIP5 models well reproduces the general feature of NIO summer rainfall. For a short period 1979?2005, 14 out of 20 models show an increased trend in the mean rainfall and a similar spatial distri-bution to the Global Precipitation Climatology Project (GPCP) observations in MME. The increasing of the convergence in the equatorial IO results in the increase of rainfall significantly. The equatorial rainfall trend patterns seem modulated by the SST warm-ing in the tropical Indian Ocean, which confirm the mechanism of 'warmer-get-wetter' theory. For a long period 1950?2005, the trend of monsoon rainfall over India shows a decrease over the most parts of the India except an increase over the south corn er of the Indian Peninsula, due to a weakened summer monsoon circulation. The pattern is well simulated in half of the CMIP5 models. The rainfall over the north India is different for a short period, in which rainfall increases in 1979?2005, implying possible decadal varia-tion in the NIO summer climate.
基金supported by the National Key Research and Development Program of China [grant number2017YFC1502304]the National Natural Science Foundation of China [grant numbers 41675083 and 41522503]the Chinese Academy of Sciences–Peking University Joint Research Program
文摘In India,large-scale climatic oscillations have strong influences on the Indian summer monsoon rainfall(ISMR),which plays a crucial role in India’s agricultural production and economic growth.However,there are limited studies in India that explore the influences of decadal and multidecadal oscillations on the ISMR and associated El Niño–Southern Oscillation(ENSO).Therefore,in this study we carried out a comprehensive and detailed investigation to understand the influences of ENSO,Pacific decadal oscillation(PDO),and Atlantic multidecadal oscillation(AMO)on ISMR across different regions in India.The statistical significance of ISMR associated with different phases(positive/warm and negative/cold)of ENSO,PDO,and AMO(individual analysis),and combined ENSO–AMO,and ENSO–PDO(coupled analysis)were analysed by using the nonparametric Wilcoxon Rank Sum(WRS)test.The individual analysis results indicate that in addition to the ENSO teleconnection,AMO and PDO significantly affect the spatial patterns of ISMR.Coupled analysis was performed to understand how the phase shift of PDO and AMO has modulated the rainfall during El Niño and La Niña phases.The results indicate that the La Niña associated with a positive PDO phase caused excessive precipitation of about 21%–150%in the peninsular,west–central,and hilly regions compared to the individual effect of ENSO/PDO/AMO on ISMR;similarly,the west–central,coastal,and northwest regions received 15%–56%of excessive rainfall.Moreover,during the El Niño combined with PDO positive(AMO positive),above-normal precipitation was observed in hilly,northeast,and coastal(hilly,northeast,west–central,and coastal)regions,opposite to the results obtained from the individual ENSO analysis.This study emphasizes the importance of accounting the decadal and multidecadal forcing when examining variations in the ISMR during different phases of ENSO events.
基金supported by the National Natural Science Foundation of China(41671006)
文摘The Tibetan Plateau(TP)is considered to be the‘‘Third Pole”of the earth because of its huge area(5 million km2),its high elevation(>4000 m average altitude),and the presence of more than 100,000 km2 of glaciers in this northern mid-latitude region.As a result of these factors,the TP influences both short-term regional and large-scale atmospheric circulation and long-term climate change[1].More than ten large rivers originate from the TP and constitute an essential water supply for nearly one sixth of the global population.Hence the TP is often referred to as‘‘the water tower of Asia”[1,2].Variations of summer rainfall over the TP greatly impact inland closed lakes,river discharge,glaciers,plant phenology,and natural hazards[2].
基金the National Basic Key Research Program(973)under Grant Nos.2006CB403604 and 2006CB403606the National Natural Science Foundation of China under Grant No.40705033
文摘The Indian Ocean （IO） sea surface temperature （SST） was analyzed by using empirical orthogonal function （EOF）, and the leading mode of Indian Ocean （LMIO） SST was extracted. The major spatial and temporal characters of LMIO were discussed, and the relationships between LMIO with Indian summer monsoon （ISM） and with China summer rainfalls （CSR） were investigated, then the impacts of LMIO on Asian summer monsoon （ASM） circulation were explored. Some notable results are obtained： The significant evolutional characters of LMIO are the consistent warming trend of almost the whole IO basin, the distinctive quasi-3- and quasi-ll-yr oscillations and remarkably interdecadal warming in 1976/1977 and 1997/1998, respectively. The LMIO impaired the lower level circulation of ISM and was closely related with the climate trend of CSR. It was associated with the weakening of South Asian high, the easterly winds south of the Tibetan Plateau, and the cross-equatorial flows over 10°-20°N, 40°-110°E at the upper level; with the strengthening of Somali cross-equatorial jet but the weakening of the circulation of ISM in the sector of India, the strengthening of south wind over the middle and lower reaches of Yangtze River and South China but the weakening of southwesterly winds over North China at lower level and with the increasing of surface pressure over the Asian Continent. Changes in the moisture flux transports integrated vertically over the whole troposphere associated with LMIO are similar to those in the lower level circulation. To sum up, the significant SST increasing trend of IO basin was one of the important causes for weakening of the ASM circulation and the southwards shifting of China summer rainband.
文摘利用国家气候中心160站月平均降水资料、印度热带气象研究所的全印度月平均降水资料和NCEP/NCAR的再分析资料,从年际和年代际角度分别研究了欧亚遥相关型(Eurasian teleconnection,EU)对印度夏季风与华北夏季降水关系的影响,并探究其物理机制。结果表明,EU与印度夏季风之间的相关系数只有-0.078,二者相互独立。印度夏季风与华北夏季降水有正相关关系(Indian Summer Monsoon and North China Summer Rainfall,ISM-NCSR),且在正EU位相时,ISM-NCSR关系较弱;负EU位相时,ISM-NCSR关系较强。这是由于EU负位相时,贝加尔湖右侧存在反气旋环流,有利于北风及冷空气南下。因此,强印度季风时北上的暖湿气流在华北地区与偏北风相遇形成锋面,有利于华北降水;弱印度季风时华北地区完全被强北风控制,水汽输送通道被阻断,不利于降水,从而导致ISM-NCSR关系强。正EU位相时与此相反,相关关系弱。
文摘The monthly mean geostrophic wind fields for January during 1951 - 1990 period are calculated by using data of500 hpa monthly mean height. The relation between Asia jetstream in winter and the important seasonal precipitationin East China is analysed. The analysis shows that the south branch of jetstream is stronger (weaker) in winter, therainfall will be more (less) than normal in the subsequent spring in South China, and summer rainfall in North Chinawill be more (less). too; these important rainy seasons are related to each other; the indian summer monsoon is notonly related to the summer rainfall in North China, but also related to the spring rainfall in South China and thesouth branch of jetstream in winter.
