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1.
利用经验正交函数(EOF)对印度洋海表面温度距平(SSTA)进行分解，分析了印度洋海温场的时空分布特征，并通过合成分析、奇异值(SVD)分解等方法，结果表明，前期和同期的印度洋海表温度距平分布场与夏季高原降水相关显，西印度洋-非洲东海岸赤道地区的SSTA与高原夏季降水联系最密切；当春、夏季印度洋西部海温出现明显负(正)距平时，当年印度夏季风偏强(弱)，高原夏季降水普遍偏多(少)。 相似文献
2.
利用经验正交函数(EOF)对印度洋海表温度距平(SSTA)进行展开,分析印度洋海温场的时空特征及其与贵州夏季降水的关系.结果表明,同期的印度洋海表温度距平分布场与贵州夏季降水相关显著,西印度洋索马里海区的SSTA与贵州夏季降水关系最为密切,当夏季索马里海区海温偏高(低)时贵州夏季降水偏少(多). 相似文献
3.
印度季风的年际变化与高原夏季旱涝 总被引：11，自引：6，他引：5
根据NCEP／NCAR再分析资料和海表面温度距平资料,分析了西藏高原夏季降水5个多、少雨年春、夏季印度洋850hPa、200hPa合成风场和合成海温场,发现多、少雨年前期与同期印度洋高、低空风场和海温场均存在明显差异,主要表现为高原夏季降水偏多(少)年印度夏季风偏强(弱),在850hPa合成风场上印度半岛维持西(东)风距平,西印度洋—东非沿岸为南(北)风距平,夏季阿拉伯海区和孟加拉湾出现反气旋(气旋)距平环流;200hPa合成风场上印度半岛维持东(西)风距平,南亚高压偏强(弱),索马里沿岸为南(北)风距平。印度夏季风异常与夏季印度洋海温距平的纬向分布型有密切联系。当夏季海温场出现西冷(暖)东暖(冷)的分布型时,季风偏强(弱),高原降水普遍偏多(少)。相关分析指出,索马里赤道海区的风场异常与高原夏季降水的关系最为密切,在此基础上我们定义了一个索马里急流越赤道气流指数,用它识别高原夏季旱涝的能力较之目前普遍使用的印度季风指数有了明显的提高。 相似文献
4.
5.
利用大气环流模式模拟了赤道中印度洋海区夏季变温与海温本身异常对中国夏季降水的影响.结果表明:当该海区夏季正(负)海温距平值呈递增(递减)变化时,激发出的降水场的正(负)异常幅度比正(负)海温距平强迫下相应的降水场的正(负)异常幅度大;但当正(负)海温距平呈递减(递增)趋势变化时,激发出的降水异常场与正(负)海温距平强迫下相应的降水异常场的分布形势类似(不同),异常幅度也有所差异.夏季中印度洋不同类型的海温异常对大气加热的不同,导致东亚季风和印度季风的不同变异,暖海温异常下引起东亚季风的明显偏强,而冷海温异常下引起印度季风的明显偏强. 相似文献
6.
印度洋海温异常对南亚区域净初级生产力影响的数值模拟 总被引：2，自引：0，他引：2
利用中国科学院大气物理研究所发展的全球海洋-大气-动态植被耦合气候模式 (GOALS-AVIM) 的模拟结果, 分析了印度洋海表温度 (SST) 变化及其与南亚陆面净初级生产力 (NPP) 的关系。模式连续运行50年, 取后40年结果分析。对模拟的印度洋海表温度距平 (SSTA) 的经验正交分解 (EOF) 进行分析, 发现第一特征向量在全区域表现为一致变化的趋势, 表明在春夏秋冬四季中印度洋海温都有一致增暖或降温的趋势, 同时赤道印度洋海温一致变化与赤道太平洋Niño3指数有滞后的正相关, 太平洋的Niño3指数变化超前印度洋海温一致变化8个月左右。第二特征向量则表现为热带印度洋SST存在着东西方向振荡的偶极子型振荡特征, 而且偶极子强度有明显季节变化, 并有很明显的季节相位锁定。印度洋SSTA的一致变化的异常趋势与南亚地区的季节和年平均NPP变化表现出很强的同期和滞后相关性; 与南亚地区年平均NPP相关性较高的印度洋夏季SST的EOF第一模态正负相位对应着不同的850 hPa流场、 500 hPa高度场以及南亚地区降水场的异常。分析表明, 印度洋及南亚地区的夏季风加强或减弱导致受南亚地区降水异常, 并使该地区NPP产生异常的增加或减少。 相似文献
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8.
海表温度和地表温度与中国东部夏季异常降水 总被引：18，自引：2，他引：16
主要研究太平洋与印度洋海表温度和地表温度场与中国东部夏季降水的相关关系,以及异常大降水产生的下垫面条件.研究结果表明:(1)夏季黑潮区海温与同期长江流域的降水存在明显正相关,北方地区夏季降水与靠近非洲东岸的印度洋海域存在明显负相关.(2)夏季海温异常与同期中国降水异常场之间的相关分析(SVDI)表明,20世纪70年代后期当海温由La Nina多发期向El Nino多发期转变后,长江流域向异常多雨转变,而其北方和南方地区则向异常少雨方向发展.(3)中国东部区域降水与陆面温度的明显相关区有:(a)春,夏季热带非洲和夏季亚洲大陆部分地区地表温度与当年长江流域夏季降水存在显著正相关;(b)春季4、5月份部分亚洲大陆地表温度与当年华北地区夏季降水有明显负相关.(4)通过对比分析发现:长江(1954,1998和1999年)或江淮(1991年)流域几次特大异常降水的下垫面条件是黑潮区为海温正距平,同期欧亚大陆主要为正地表温度距平场. 相似文献
9.
中国南方夏季降水与热带印度洋偶极型海温异常的联系 总被引：4，自引：1，他引：4
利用1979-1999年GISST和CMAP月平均资料,用线性回归滤除印度洋偶极子(IOD)指数和ENSO的相互干扰,定义纯IOD指数和纯Nino3指数,将海温距平处理为相对独立的3个部分,通过相关和合成分析得到:6-8月印度洋偶极型海温及热带中印度洋海温异常与中国南方夏季降水都有很好的正相关关系,并且二者对南方夏季降水序列的拟合方差贡献显著,表明热带印度洋海温异常与中国南方夏季降水的关系密切;5月份热带印度洋海温年际变化可以解释60 %左右的南方夏季降水异常,这对南方降水的预测具有非常好的指导意义.在正(负)IOD年,热带印度洋SSTA引起我国南方地区大气异常上升(下沉)运动,中国南方为整层水汽的异常辐合(辐散)区,从而使中国南方夏季降水异常偏多(偏少). 相似文献
10.
利用NOAA长波辐射OLR，NCEP/NCAR再分析格点资料，探讨了热带太平洋、印度洋海温等环境场变化与高原季风发展的联系。揭示了春季孟加拉湾和南海以及西太平洋暖池附近海表增温、赤道东太平洋降温有利于高原夏季风发展。分析了高原季风强弱年同期和前期SST场、风场和OLR场演变特征。结果表明，高原季风强弱年热带环境场存在明显差异。高原夏季风发展时SSTA从春季到夏季, 孟加拉湾经南海到西太平洋SST呈正距平, 赤道中东太平洋SST负距平发展, 表现为La Ni?a特征。反之，高原夏季风减弱时SSTA在孟加拉湾和南海地区SST呈负距平，东南太平洋SST正距平发展。表现为El Ni?o特征。 相似文献
11.
Ramesh Kumar Yadav 《Climate Dynamics》2013,41(1):105-116
This study examines the emerging role of Indian Ocean sea surface temperature (SST) on the inter-annual variability (IAV) of Indian north-east monsoon rainfall (NEMR). The IAV of NEMR is associated with the warm SST anomaly over east Bay-of-Bengal (BoB) (88.5oE–98.5oE; 8.5oN–15.5oN) and cool SST anomaly over east equatorial Indian Ocean (80.5oE–103.5oE; 6.5oS–3.5oN). The gradient of SST between these boxes (i.e. northern box minus southern box) shows strong and robust association with the Indian NEMR variability in the recent decades. For establishing the teleconnections, SST, mean sea level pressure, North Indian Ocean tropical storm track, and circulation data have been used. The study reveals that during the positive SST gradient years, the inter-tropical convergence zone (ITCZ) shifts northwards over the East Indian Ocean. The tropical depressions, storms and cyclones formed in the North Indian Ocean moves more zonally and strike the southern peninsular India and hence excess NEMR. While, during the negative SST gradient years, the ITCZ shifts southwards over the Indian Ocean. The tropical depressions, storms and cyclones formed in the North Indian Ocean moves more northwestward direction and after crossing 15oN latitude re-curve to north-east direction towards head BoB and misses southern peninsular India and hence, deficient NEMR. 相似文献
12.
Summary The interannual variability of North-West India Winter Precipitation (NWIWP) has been examined in association with the variability
of sea surface temperature (SST), surface air temperature (SAT) and upper tropospheric (200 hPa) wind patterns over India
and the surrounding regions. We have considered data for a period of 54 years (1950–2003). During the years of excess NWIWP,
the SST was above normal over the equatorial Indian Ocean, SAT was below normal over east Mediterranean Sea and over the Himalayan
region and upper tropospheric westerlies strengthen and shift southwards. Upper tropospheric westerlies over north and central
India was found to be related with the SST anomalies over the equatorial Indian Ocean. The decrease of SAT over north India
and surroundings may largely be a manifestation of cooling brought about by excessive precipitation and sweep of cold air
advection in rear of the storms. The intensifying of upper troposphere westerlies embedded with a jet increases the upper
level divergence over north India due to increased horizontal shear resulting in intense anticyclone at upper troposphere. 相似文献
13.
D. R. Kothawale A. A. Munot H. P. Borgaonkar 《Theoretical and Applied Climatology》2008,92(1-2):31-45
Summary The present study examines the long term trend in sea surface temperatures (SSTs) of the Arabian Sea, Bay of Bengal and Equatorial
South India Ocean in the context of global warming for the period 1901–2002 and for a subset period 1971–2002. An attempt
has also been made to identify the relationship between SST variations over three different ocean areas, and All-India and
homogeneous region summer monsoon rainfall variability, including the role of El-Ni?o/Southern Oscillation (ENSO). Annual
sea surface temperatures of the Arabian Sea, Bay of Bengal and Equatorial South India Ocean show a significant warming trend
of 0.7 °C, 0.6 °C and 0.5 °C per hundred years, respectively, and a relatively accelerated warming of 0.16 °C, 0.14 °C and
0.14 °C per decade during the 1971–2002 period.
There is a positive and statistically significant relationship between SSTs over the Arabian Sea from the preceding November
to the current February, and Indian monsoon rainfall during the period 1901–2002. The correlation coefficient increases from
October and peaks in December, decreasing from February to September. This significant relationship is also found in the recent
period 1971–2002, whereas, during 1901–70, the relationship is not significant. On the seasonal scale, Arabian Sea winter
SSTs are positively and significantly correlated with Indian monsoon rainfall, while spring SSTs have no significant positive
relationship. Nino3 spring SSTs have a negative significant relationship with Indian monsoon rainfall and it is postulated
that there is a combined effect of Nino3 and Arabian Sea SSTs on Indian monsoon. If the Nino3 SST effect is removed, the spring
SSTs over the Arabian Sea also have a significant relationship with monsoon rainfall. Similarly, the Bay of Bengal and Equatorial
South Indian Ocean spring SSTs are significantly and positively correlated with Indian monsoon rainfall after removing the
Nino3 effect, and correlation values are more pronounced than for the Arabian Sea.
Authors’ address: Dr. D. R. Kothawale, A. A. Munot, H. P. Borgaonkar, Climatology and Hydrometeorology divisions, Indian Institute
of Tropical Meteorology, Pune 411008, India. 相似文献
14.
Mark R. Jury 《大气与海洋》2013,51(5):322-331
ABSTRACTSouth Indian Ocean Rossby waves (SIO-RW) are identified in the Global Ocean Data Assimilation System (GODAS) 1.5–7?yr filtered sea surface height (SSH) time series. There is a persistent three-year oscillation in the 5°–15°S latitude band from 55° to 85°E. Field correlations show little coupling at 90°E, but as the SIO-RW undulates westward at approximately 0.19?m?s?1 across the mid-basin, a northwest–southeast axis of warm sea surface temperatures (SSTs) and deep convection forms. Many teleconnections in earlier work are confirmed: interannual pulses of zonal wind in the eastern basin trigger the SIO-RW via anticyclonic wind stress curl. New insights derive from an understanding of links with the upper troposphere. As the SIO-RWs move westward with the onset of an El Niño in the Pacific, increased convection over the north Indian Ocean corresponds to reduced evaporation and SST warming. Mid-tropospheric heating T′?>?2°C over the northwest Indian Ocean accelerates the southern sub-tropical jet to greater than 10?m?s?1 over the southeast Indian Ocean, reinforcing the anticyclonic vorticity. The downstream acceleration of the jet generates upper-level divergence and moist convection over the western basin, anchoring an atmospheric Rossby wave in a northwest–southeast alignment underpinned by differential propagation of the SIO-RW. As the ocean Rossby wave reaches Africa, the coupling fades and transitions. What distinguishes Indian Ocean from Pacific Ocean Rossby waves are their southern latitude and higher frequency. The tropical mid-tropospheric heating that accelerates the southern sub-tropical jet shifts westward in tandem with the SIO-RW. 相似文献
15.
《Global Environmental Change》2001,11(2):147-154
This study estimates the relationship between farm level net-revenue and climate variables in India using cross-sectional evidence. Using the observed reactions of farmers, the study seeks to understand how they have adapted to different climatic conditions across India. District level data is used for the analysis. The study also explores the influence of annual weather and crop prices on the climate response function. The estimated climate response function is used to assess the possible impacts of a ‘best-guess’ climate change scenario on Indian agriculture. 相似文献
16.
Influence of ENSO and of the Indian Ocean Dipole on the Indian summer monsoon variability 总被引：1，自引：0，他引：1
Indian summer monsoon (ISM) variability is forced from external factors (like the El Niño Southern Oscillation, ENSO) but it contains also an internal component that tends to reduce its potential for predictability. Large-scale and local monsoon indices based on precipitation and atmospheric circulation parameters are used as a measure of ISM variability. In a 9-members ensemble of AMIP-type experiments (with same boundary SST forcing and different initial conditions) their potential predictability is comparable using both local and large-scale monsoon indices. In the sample analyzed, about half of more predictable monsoon years coincide with El Niño and/or positive Indian Ocean Dipole (IOD) events. Summer monsoon characteristics during ENSO and IOD years are analyzed through composites computed over a three years period (i.e. one year before and one year after the event peak) to investigate the mutual relationship between the events lagged in time. The connection between ISM and IOD is mostly confined in the summer and autumn, while that with ENSO is stronger and extends more in time. In the coupled model results the IOD influence on the monsoon is large, even because in the model IOD events are intense and easily reproduced due to a strong air-sea feedback in the eastern side of the basin. Monsoon seasons preceding or following an El Niño or a La Niña event are not exactly symmetric, even in terms of their biennial character. In most of the cases, both in reanalysis and model, El Niño and positive IOD events tend to co-occur with larger anomalies either in the Indo-Pacific ocean sector or over India, while La Niña and negative IOD do not. From the observed record, the ENSO-IOD correlation is positive strong and significant since mid-60s and it may correspond with either strong or weak ENSO-monsoon relationship and with strong or weak IOD-monsoon relationship. A main difference between those periods is the relationship between Indian monsoon rainfall and SST in other ocean basins rather than the Indo-Pacific sector alone. 相似文献
17.
The present study attempts to formulate a regression model to predict summer rainfall over Peninsular India (PIR) using some regional predictors. Parameters having significant correlation (99%) with PIR were identified for the period 1975–1997 (training), and a 15-year sliding correlation (90%) was found to check the consistency of the relationship between PIR and predictors. From a set of 14 candidate predictors, 4 were selected using a stepwise regression method and tested over a period from 1998 to 2006. The predictors selected are sea surface temperature during March over Indian Ocean, air temperature at 850?hPa during May over Peninsular India, zonal, and meridional wind at 700?hPa during February and January, respectively, over the Arabian Sea. The model captures a variance of 77.7% and has a multiple correlation of 0.88. The root mean square error, absolute mean error, and bias for the training (test) period were 7.6% (21.5%), 6.6% (17.9%), and 0% (11.4%) of mean rainfall, respectively. Results of the climatological predictions show that the model developed is useful. 相似文献
18.
利用3种百年时间尺度的海温资料,探讨了印度洋偶极子(India Ocean Dipole,IOD)向海盆一致模(Indian Ocean Basin,IOB)年际转变的年代际变化,结果发现1940—1970年几乎不存在这一转变现象,1970年以后该现象则十分显著。研究表明,IOD与ENSO之间海气耦合作用的年代际变化是这一转变现象的主要原因,1940—1970年IOD与ENSO之间发生发展相互独立,而1970年以后联系密切。通过进一步对物理量场的诊断分析,揭示了其中主要的动力机理:1970年以前,热带印度洋上空形成的季风环流异常无法与热带太平洋的沃克环流异常进行耦合,IOD事件发生时无法与热带太平洋产生联系。反之,1970年以后,热带两大洋上空两个纬圈环流异常之间耦合作用强烈,正(负) IOD事件发生时,通过海气相互作用,促进El Niño (La Niña)发展,印度洋又会受到来自ENSO的正反馈作用。因此这种“齿轮式”耦合模型能一直持续到冬季和次年春季,热带印度洋上空持续受到东(西)风异常的影响和低层环流的引导,西印度洋有次表层暖水的流入(出),加上印度洋本身海盆尺度较小,西边的暖(冷)水区显著增大,东西海温异常差异迅速减小并向海盆一致变暖(冷)转变,导致了后期冬季、春季正(负) IOB事件的出现。 相似文献
19.
Livestock constitutes an integral component of Indian agriculture sector and also a major source of GHGs emissions. The study presents a detailed inventory of GHG emissions at district/state level from different age-groups, indigenous and exotic breed of different Indian livestock categories estimated using the recent census 2003 and country-specific emission coefficients based on IPCC guidelines. The total methane emission including enteric fermentation and manure management of livestock was estimated at 11.75 Tg/year for the year 2003. Enteric fermentation constitutes ~91 % of the total methane emissions from Indian livestock. Dairy buffalo and indigenous dairy cattle together contribute 60 % of the methane emissions. The total nitrous oxide emission from Indian livestock for the year 2003 is estimated at 1.42 Gg/year, with 86.1 % contribution from poultry. The total GHGs emission from Indian livestock is estimated at 247.2 Mt in terms of CO2 equivalent emissions. Although the Indian livestock contributes substantially to the methane budget, the per capita emission is only 24.23 kgCH4/animal/year. Using the remote sensing derived potential feed/fodder area available for livestock, the average methane flux was calculated as 74.4 kg/ha. The spatial patterns derived in GIS environment indicated the regions with high GHGs emissions that need to be focused subsequently for mitigation measures. The projected estimates indicate a likely increase of 40 % in methane emissions from buffalo population. 相似文献
20.
Summary The objective of this study is to examine critically the relationship between solar cycles and Indian monsoon rainfall, for the period 1871–1984, and to search for significant periodicities, by utilizing the maximum entropy spectral technique (MEST). The results of this study using MEST show clearly a significant 11-year cycle in solar activity and rainfall. Also present is a significant 7.33-year cycle in rainfall. The double (Hale) sunspot cycle is not discernible here either in sunspot number or in rainfall. The cross-spectral analysis between the sunspot number and rainfall confirms the existence of a reasonable correlation over an 11-year cycle with a relative phase lag of 0.16 year (sun lead).
On leave from the Indian Institute of Tropical Meteorology, Pune, India.
With 3 Figures 相似文献
Zusammenfassung Zweck dieser Studie ist die kritische Überprüfung des Zusammenhangs zwischen Sonnenzyklus und dem indischen Monsunregen im Zeitraum 1871–1984 und die Festlegung spezifischer Periodizitäten mittels der Maximal-Entropie-Analyse (MEST). Die Resultate zeigen einen signifikanten 7,33-jährigen Niederschlagszyklus. Der doppelte (Hale) Sonnenfleckenzyklus ist hierbei nicht ausnehmbar, weder bei der Anzahl der Sonnenflecken, noch beim Niederschlag. Die Kreuz-Spektralanalyse zwischen Sonnenfleckenzyklus und Niederschlag bestätigt die Existenz einer Korrelation über einen 11jährigen Zyklus mit einer relativen Phasenverzögerung von 0,16 Jahren.
On leave from the Indian Institute of Tropical Meteorology, Pune, India.
With 3 Figures 相似文献