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1.
利用欧洲中期数值预报中心的ERA40再分析逐日的200 hPa风场资料,选取1958—1977年和1980—1999年各20年,对比分析了在全球变暖背景下前后两个时段热带大气季节内振荡(ISO)的特征及其变化。研究表明:近20 a来,原来在赤道中太平洋上活跃的ISO减弱,而在中印度洋、孟加拉湾地区ISO变得活跃;全球变暖背景下,ISO的强度变化幅度加大,表明ISO更加活跃,且季节变化明显,冬、春季强,夏、秋季弱;对流层上层的纬向风能量更集中于1—3波,ISO的频率有加大的趋势。还利用中国科学院大气物理研究所LASG发展的耦合气候系统模式FGOALS-1.0g中的控制试验及其二氧化碳浓度加倍试验结果,分别对应实测资料的前后20年进行对比分析。发现模式对ISO的空间结构模拟较好,但低估了ISO的强度;时空谱分析表明模式结果中包含有更多的纬向风的高频成分,由于能量的分散,导致对ISO活动强度的低估。但通过对模式的控制试验和温室气体增加试验结果的对比分析,发现耦合模式还是较好地反映出在全球变暖背景下ISO在中印度洋、孟加拉湾地区变得活跃、频率加大等变化特征。 相似文献
2.
基于1982—2013年逐月NCEP资料及GODAS资料,采用回归分析、合成分析以及2.5层简化海洋模式数值模拟等方法,研究了热带东印度洋的大气和海洋过程对印度洋海温偶极子(IOD,Indian Ocean Dipole)东极(IODE,IOD East pole)海温异常的影响。结果表明,IODE海温异常的演变超前IOD西极(IODW,IOD West pole)海温异常的演变,并对IOD事件的生成和发展起到关键作用。初夏,来自阿拉伯海、中南半岛地区以及孟加拉湾西南部的水汽输送,导致孟加拉湾东部出现强降水。降水释放的潜热在热带东印度形成了一个跨越赤道的经向环流,有利于加强赤道东印度洋的过赤道气流,并在苏门答腊沿岸形成偏南风异常。该异常偏南风通过影响混合层垂向夹卷混合过程和纬向平流过程,导致IODE海温迅速下降。随后赤道东南印度洋异常东南风迅速增强以及赤道中印度洋东风异常的出现,增强了自东南印度洋向西印度洋的水汽输送,削弱了向孟加拉湾的水汽输送,使西南印度洋的降水增强,孟加拉湾东部的降水减弱。因此,IOD达到盛期前孟加拉湾东部的降水通过局地经向环流在苏门答腊沿岸形成偏南风异常,导致苏门答腊沿岸迅速的降温,并最终导致IOD事件的发生。 相似文献
3.
利用四川省132个气象观测站降水资料和NOAA的逐日向外长波辐射(OLR)资料,分析了主汛期热带东印度洋MJO活动异常年低频对流传播的显著差异,及其影响四川盆地主汛期降水的物理过程。探讨了热带东印度洋MJO活跃年低频振荡向四川盆地传播的路径和源头,以及孟加拉湾西南季风系统、东亚副热带季风系统的低频振荡分别对四川盆地主汛期低频对流活动的影响。结果表明:热带印度洋的低频对流激发了孟加拉湾西南季风ISO进入活跃期,并在西南气流的引导下继续向四川盆地传播;低频对流先从热带印度洋东传至菲律宾群岛南部的热带洋面,并向东亚副热带地区北传,激发了东亚副热带季风ISO的活跃加强,进而向四川盆地西传。热带印度洋MJO活动异常对四川盆地降水的调制,正是通过两支季风系统(孟加拉湾夏季风和东亚副热带夏季风)的共同作用,影响了四川盆地主汛期异常的对流活动以及降水的多寡。 相似文献
4.
The paths and sources of moisture supplied to South China during two periods of the presummer rainy season (April–June) of 1979–2014, i.e., before and after the onset of the summer monsoon over the South China Sea (SCS), are investigated by using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. During the premonsoon-onset period, the moisture transport trajectories are clustered into 6 groups, with four ocean-originating paths providing 83.9% and two continent-originating paths (originating over Lake Baikal and the Persian Gulf) contributing the remaining 16.1% of the total moisture. The two Pacific-originating paths, from the western Pacific Ocean and the East China Sea, combined account for about 46%, the SCS-originating path contributes about 24.3%, while the Bay of Bengal-originating path accounts for 13.6% of the total moisture over South China. The trajectories during the postmonsoon-onset period are clustered into 4 groups, with three southwesterly paths (from the Arabian Sea, the central Indian Ocean, and the western Indian Ocean, respectively) accounting for more than 76% and the sole Pacific-originating path accounting for 23.8% of the total moisture. The formation of the moisture transport trajectories is substantially affected by the topography, especially the Tibetan Plateau and the Indian and Indo–China Peninsulas. The SCS region contributes the most moisture during both periods (35.3% and 31.1%). The Pacific Ocean is ranked second during the former period (about 21.0%) but its contribution is reduced to 5.0% during the latter period, while the contribution from the Bay of Bengal and the Indian Ocean combined increases from 17.1% to 43.2%. 相似文献
5.
The time series of the sea surface temperature(SST) anomaly,covering the eastern (western) equatorial Pacific,central Indian Ocean,Arabian Sea.Bay of Bengal and South China Sea(SCS),have been analyzed by using wavelet transform.Results show that there exists same interdeeadal variability of SST in the tropical Pacific and tropical Indian Ocean,and also show that the last decadal abrupt change occurred in the 1970s.On the interannual time scale,there is a similar interannual variability among the equatorial central Indian Ocean and the adjacent three sea basins(Arabian Sea.Bay of Bengal and South China Sea).but the SST interannual changes of the Indian Ocean lagged 4-5 months behind that of the equatorial central-east Pacific.Meanwhile,the interannual variability and long-range change between SST anomaly and Indian summer monsoon rainfall in recent decades have been explained and analyzed.It indicates that there existed a wet(dry) period in India when the tropical SST was lower(higher)than normal,but there was a lag of phase between them. 相似文献
6.
Indian Ocean sea surface salinity variations in a coupled model 总被引：2，自引：0，他引：2
The variability of the sea surface salinity (SSS) in the Indian Ocean is studied using a 100-year control simulation of the Community Climate System Model (CCSM 2.0). The monsoon-driven seasonal SSS pattern in the Indian Ocean, marked by low salinity in the east and high salinity in the west, is captured by the model. The model overestimates runoff into the Bay of Bengal due to higher rainfall over the Himalayan–Tibetan regions which drain into the Bay of Bengal through Ganga–Brahmaputra rivers. The outflow of low-salinity water from the Bay of Bengal is too strong in the model. Consequently, the model Indian Ocean SSS is about 1 less than that seen in the climatology. The seasonal Indian Ocean salt balance obtained from the model is consistent with the analysis from climatological data sets. During summer, the large freshwater input into the Bay of Bengal and its redistribution decide the spatial pattern of salinity tendency. During winter, horizontal advection is the dominant contributor to the tendency term. The interannual variability of the SSS in the Indian Ocean is about five times larger than that in coupled model simulations of the North Atlantic Ocean. Regions of large interannual standard deviations are located near river mouths in the Bay of Bengal and in the eastern equatorial Indian Ocean. Both freshwater input into the ocean and advection of this anomalous flux are responsible for the generation of these anomalies. The model simulates 20 significant Indian Ocean Dipole (IOD) events and during IOD years large salinity anomalies appear in the equatorial Indian Ocean. The anomalies exist as two zonal bands: negative salinity anomalies to the north of the equator and positive to the south. The SSS anomalies for the years in which IOD is not present and for ENSO years are much weaker than during IOD years. Significant interannual SSS anomalies appear in the Indian Ocean only during IOD years. 相似文献
7.
采用美国联合台风警报中心（JTWC）提供的北印度洋1977-2008年热带气旋资料、NOAA提供的1982-2008年高分辨率合成资料和NCEP提供的1982-2008年全球再分析资料,对北印度洋上167个热带气旋个例进行了统计分析,结果表明：1）北印度洋热带气旋通常发生在阿拉伯海东部和孟加拉湾中部,阿拉伯海上活动的热... 相似文献
8.
Intraseasonal Oscillation in the Tropical Indian Ocean 总被引：1，自引：1，他引：1
1. Introduction The intraseasonal oscillation (ISO or Madden- Julian Oscillation, MJO) in the tropical atmosphere has been studied extensively, including its existence, structure, evolution and propagation (Madden and Ju- lian, 1971; Murakami, et al., 198… 相似文献
9.
Summary The distribution of cloud radiative forcing (CRF) at the top of the atmosphere over the Indian Ocean is investigated using satellite observations. Two key regions are considered: The eastern Indian Ocean and the Bay of Bengal which experience maximum upper-level cloudiness in winter and summer respectively. It is found that longwave CRF in the Bay of Bengal during summer is similar to that over the eastern Indian Ocean during winter. On the other hand shortwave CRF magnitude is larger in the Bay of Bengal. These differences explain the net CRF difference between the two regions. The stronger shortwave forcing seems to be related to the Upper-Level Cloudiness being larger over the Bay than over the eastern Indian Ocean. The reasons for the longwave CRF similarities are analysed in more details. Using the results from a convective system classification method, it is first shown that the longwave radiative properties of the individual systems do not vary much from one region to another. The distribution of the different kind of systems, a proxy for the vertical cloudiness structure, does not either indicate strong difference between the regions. It is then proposed that the substantial precipitable water vapour amount observed over the Bay of Bengal damps the effects of the upper-level cloudiness on radiation compared to the relatively dryer eastern Indian Ocean area; yielding to similar LW CRF in both region despite more Upper-Level Cloudiness over the Bay of Bengal. These observations are supported by idealised radiative transfer computations. The distribution of cloudiness and radiative forcing is then analysed over the whole tropical Indian Ocean for each season. July is characterized by a low longwave CRF regime (relative to January) over the most convectively active part of the Ocean. The non linear damping effect of water vapor on longwave CRF is also shown to contribute to this regime. Overall, this study reaffirms the need for simultaneous documentation of the cloud systems properties together with their moist environment in order to understand the overall net radiative signature of tropical convection at the top of the atmosphere (TOA). 相似文献
10.
陈红 《南京气象学院学报》2020,12(4):442-449
利用NCEP/NCAR再分析环流资料、CMAP降水量和NOAA海温资料研究了热带印度洋夏季水汽输送的时空变化特征,并考察其对南亚季风区夏季降水的影响.热带印度洋夏季异常水汽输送第一模态表现为异常水汽从南海向西到达孟加拉湾后分成两支,其中一支继续往西到达印度次大陆和阿拉伯海,对应印度半岛南端和中南半岛的西风水汽输送减弱,导致这些区域降水减少;第二模态表现为异常水汽从赤道东印度洋沿赤道西印度洋、阿拉伯海、印度半岛、中南半岛的反气旋输送,印度和孟加拉湾南部为反气旋异常水汽输送,水汽辐散、降水减少,而印度东北部为气旋性水汽输送,水汽辐合、降水增多.就水汽输送与局地海温的关系而言,水汽输送第一模态与热带印度洋海温整体增暖关系密切,而第二模态与同期印度洋偶极子关系密切. 相似文献
11.
J. S. Chowdary C. Gnanaseelan Soumi Chakravorty 《Theoretical and Applied Climatology》2013,113(1-2):329-336
Influence of northwest (NW) Pacific anticyclone on the Indian summer monsoon (ISM), particularly over the head Bay of Bengal and monsoon trough region, is investigated. Strong NW Pacific anticyclone during summer induces negative precipitation anomalies over the head Bay of Bengal and Gangetic Plain region. Westward extension of moisture divergence and dry moisture transport from NW Pacific associated with anticyclone (ridge) and local Hadley cell-induced subsidence are responsible for these negative precipitation anomalies. The impact is maximum when the anticyclone and Indian Ocean basin warming co-occur. This contributes significantly to year-to-year variability of ISM. 相似文献
12.
孟加拉湾西南季风与南海热带季风季节内振荡特征的比较 总被引：4，自引：2，他引：2
采用美国国家环境预报中心的向外长波辐射和风场资料及日本气象厅的降水资料,用30-60d滤波后的夏季风指数在孟加拉湾和南海的区域平均值分别代表孟加拉湾西南季风和南海热带季风季节内振荡,对两支季风的季节内振荡特征进行比较分析,发现孟加拉湾西南季风的季节内振荡和南海热带季风的季节内振荡在夏季风期间(5-10月)都有约3次半的波动.夏季风期间,在阿拉伯海-西太平洋纬带上,夏季风的季节内振荡有4次从阿拉伯海的东传和3次从西太平洋的西传,其中7月后东传可直达西太平洋.孟加拉湾和南海在夏季风期间都有4次季节内振荡的经向传播,但孟加拉湾在约15°N以南为季节内振荡从热带东印度洋的北传,在约15°N以北则为副热带季风季节内振荡的南传;而在南海则是4次季节内振荡从热带的北传.在以孟加拉湾西南季风季节内振荡和南海热带季风季节内振荡分别划分的6个位相中,都存在1-3位相和4-6位相中低频对流、环流形势相反的特征,这是由热带东印度洋季节内振荡的东传和北传所致.热带印度洋季节内振荡沿西南-东北向经过约14d传到孟加拉湾,激发了孟加拉湾西南季风季节内振荡的东传,经过约6d到达南海,激发了南海热带季风季节内振荡的北传,经过约25d到达华南,形成热带印度洋季节内振荡向华南的经纬向接力传播(45d).孟加拉湾西南季风季节内振荡所影响的降水主要是在20°N以南的热带雨带随低频对流的东移而东移;而南海热带季风季节内振荡所影响的降水除了这种热带雨带随低频对流的东移外,还有在20°N以北的东亚副热带地区存在雨带随南海低频对流的北移而北移. 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.
Wilhelm May 《Climate Dynamics》2011,37(9-10):1843-1868
In this study the potential future changes in different aspects of the Indian summer monsoon associated with a global warming of 2°C with respect to pre-industrial times are assessed, focussing on the role of the different mechanisms leading to these changes. In addition, these changes as well as the underlying mechanisms are compared to the corresponding changes associated with a markedly stronger global warming exceeding 4.5°C, associated with the widely used SRES A1B scenario. The study is based on two sets of four ensemble simulations with the ECHAM5/MPI-OM coupled climate model, each starting from different initial conditions. In one set of simulations (2020?C2200), greenhouse gas concentrations and sulphate aerosol load have been prescribed in such a way that the simulated global warming dioes not exceed 2°C with respect to pre-industrial times. In the other set of simulations (1860?C2200), greenhouse gas concentrations and sulphate aerosol load have been prescribed according to observations until 2000 and according to the SRES A1B scenario after 2000. The study reveals marked changes in the Indian summer monsoon associated with a global warming of 2°C with respect to pre-industrial conditions, namely an intensification of the summer monsoon precipitation despite a weakening of the large-scale monsoon circulation. The increase in the monsoon rainfall is related to a variety of different mechanisms, with the intensification of the atmospheric moisture transport into the Indian region as the most important one. The weakening of the large-scale monsoon circulation is mainly caused by changes in the Walker circulation with large-scale divergence (convergence) in the lower (uppper) troposphere over the Indian Ocean in response to enhanced convective activity over the Indian Ocean and the central and eastern Pacific and reduced convective activity over the western tropical Pacific. These changes in the Walker circulation induce westerly (easterly) wind anomalies at lower (upper) level in the Indian region. The comparison with the changes in the Indian summer monsoon associated with a global warming of 4.5°C reveals that both the intensification of the monsoon precipitation and the weakening of the large-scale monsoon circulation (particularly in the lower troposphere) are relatively strong (with respect to the magnitude of the projected global warming by the end of the twentieth century for the two scenarios) in the scenario with a global warming of 2°C. The relatively strong intensification of the monsoon rainfall is related to rather strong increases in evaporation over the Arabian Sea and the Bay of Bengal, while a rather weak amplification of the meridional temperature gradient between the Indian Ocean and the land areas to the north contributes to the relatively strong reduction of the large-scale monsoon flow. 相似文献
15.
Summary Changes in the frequency of tropical cyclones developing over the Arabian Sea and the Bay of Bengal have been studied utilizing
122 year (1877–1998) data of tropical cyclone frequency. There have been significant increasing trends in the cyclone frequency
over the Bay of Bengal during November and May which are main cyclone months. During transitional monsoon months; June and
September however, the frequency has decreased. The results have been presented for five months, i.e., May-November which
are relevant as far as tropical cyclone frequency over the Arabian Sea and the Bay of Bengal are concerned. The tropical cyclone
frequency in the Arabian Sea has not shown any significant trend, probably due to small normal frequency.
The frequency time series has been subjected to the spectral analysis to obtain the significant periods. The cyclone frequency
over the Bay of Bengal during May has shown a 29 year cycle. A significant 44 year cycle has been found during November. Over
the Arabian Sea significant cycles of 13 and 10 years have been observed during May-June and November, respectively. The tropical
cyclone frequency in the North Indian Ocean has a prominent El Ni?o-Southern Oscillation (ENSO) scale cycle (2–5 years) during
all above five months. The annual cyclone frequency exhibits 29 year and ENSO scale (2–4 years) oscillations. There is a reduction
in tropical cyclone activity over the Bay of Bengal in severe cyclone months May and November during warm phases of ENSO.
Examination of the frequencies of severe cyclones with maximum sustained winds ≥ 48 knots has revealed that these cyclones
have become more frequent in the North Indian Ocean during intense cyclone period of the year. The rate of intensification
of tropical disturbances to severe cyclone stage has registered an upward trend.
Received June 7, 1999/Revised March 20, 2000 相似文献
16.
The Weather Research and Forecasting model with Chemistry (WRF-Chem) is utilized to examine the radiative effects of black carbon (BC) aerosols on the Indian monsoon, for the year 2010. Five ensemble simulations with different initial conditions (1st to 5th December, 2009) were performed and simulation results between 1st January, 2010 to 31st December, 2010 were used for analysis. Most of the BC which stays near the surface during the pre-monsoon season gets transported to higher altitudes with the northward migration of the Inter Tropical Convergence Zone (ITCZ) during the monsoon season. In both the seasons, strong negative SW anomalies are present at the surface along with positive anomalies in the atmosphere, which results in the surface cooling and lower tropospheric heating, respectively. During the pre-monsoon season, lower troposphere heating causes increased convection and enhanced meridional wind circulation, bringing moist air from Indian Ocean and Bay of Bengal to the North-East India, leading to increased rainfall there. However, during the monsoon season, along with cooling over the land regions, a warming over the Bay of Bengal is simulated. This differential heating results in an increased westerly moisture flux anomaly over central India, leading to increased rainfall over northern parts of India but decreased rainfall over southern parts. Decreased rainfall over southern India is also substantiated by the presence of increased evaporation over Bay of Bengal and decrease over land regions. 相似文献
17.
The present study investigates the relationship between extreme north-east (NE) monsoon rainfall (NEMR) over the Indian peninsula region and El Niño forcing. This turns out to be a critical science issue especially after the 2015 Chennai flood. The puzzle being while most El Niños favour good NE monsoon, some don’t. In fact some El Niño years witnessed deficit NE monsoon. Therefore two different cases (or classes) of El Niños are considered for analysis based on standardized NEMR index and Niño 3.4 index with case-1 being both Niño-3.4 and NEMR indices greater than +1 and case-2 being Niño-3.4 index greater than +1 and NEMR index less than −1. Composite analysis suggests that SST anomalies in the central and eastern Pacific are strong in both cases but large differences are noted in the spatial distribution of SST over the Indo-western Pacific region. This questions our understanding of NEMR as mirror image of El Niño conditions in the Pacific. It is noted that the favourable excess NEMR in case-1 is due to anomalous moisture transport from Bay of Bengal and equatorial Indian Ocean to southern peninsular India. Strong SST gradient between warm western Indian Ocean (and Bay of Bengal) and cool western Pacific induced strong easterly wind anomalies during NE monsoon season favour moisture transport towards the core NE monsoon region. Further anomalous moisture convergence and convection over the core NE monsoon region supported positive rainfall anomalies in case-1. While in case-2, weak SST gradients over the Indo-western Pacific and absence of local low level convergence over NE monsoon region are mainly responsible for deficit rainfall. The ocean dynamics in the Indian Ocean displayed large differences during case-1 and case-2, suggesting the key role of Rossby wave dynamics in the Indian Ocean on NE monsoon extremes. Apart from the large scale circulation differences the number of cyclonic systems land fall for case-1 and case-2 have also contributed for variations in NE monsoon rainfall extremes during El Niño years. This study indicates that despite having strong warming in the central and eastern Pacific, NE monsoon rainfall variations over the southern peninsular India is mostly determined by SST gradient over the Indo-western Pacific region and number of systems formation in the Bay of Bengal and their land fall. The paper concludes that though the favourable large scale circulation induced by Pacific is important in modulating the NE monsoon rainfall the local air sea interaction plays a key role in modulating or driving rainfall extremes associated with El Niño. 相似文献
18.
南海夏季风爆发日期在1993/1994年出现年代际偏早的转变,利用海温和再分析资料的研究证实西北太平洋增暖和两类海温型的年代际差异可能是导致此种变化的重要成因。进一步的研究揭示出在南海夏季风爆发出现年代际变化的背景下,南海夏季风爆发日期与太平洋海温的关系也出现明显的变化:1993/1994年之前的第一年代东太平洋(EP)型海温异常起主导作用,而1993/1994年之后的第二年代两类海温型均影响了季风爆发,但以中太平洋(CP)型海温异常为主。第一年代,东太平洋型增温(EPW)通过抑制西北太平洋-孟加拉湾的对流活动,在菲律宾海、孟加拉湾西部激发出两个距平反气旋,使越赤道气流建立偏晚、孟加拉湾低槽填塞、西北太平洋副热带高压增强,进而导致南海夏季风爆发偏晚,且其影响可从4月维持到5月;而中太平洋型增温(CPW)对季风爆发前期的流场无显著影响。第二年代,CPW通过抑制菲律宾-孟加拉湾东部的对流活动,在菲律宾-孟加拉湾激发出一个距平反气旋,使孟加拉湾低槽填塞、南海地区副高增强,进而阻碍季风爆发,且显著影响仅出现在4月;EPW对4月大气环流场的影响与第一年代较为接近,在菲律宾-孟加拉湾一带产生的风场、对流场异常稍弱于CPW,但其影响无法持续到5月。 相似文献
19.
Summary The adjoint technique has been widely used over the last two decades in applications involving the dynamics of the Atmosphere
and Ocean. This present study applies this technique in the assimilation of oceanic parameters such as temperature and net-surface
heat flux, in a variable resolution Ocean General Circulation Model (OGCM). The National Center for Environmental Prediction
(NCEP) 1999 July–August global data (sea-surface temperature and derived surface heat flux) and vertical temperature profiles
collected from ORV Sagar Kanya and INS Sagardhwani during the Bay of Bengal Monsoon Experiment (BOBMEX 1999) are used for
assimilation over the Bay of Bengal. The net-surface heat flux and temperature obtained after assimilation show good agreement
with their respective seasonal patterns over the whole Indian Ocean, though there are some differences in the numerical values
of heat fluxes. The vertical profiles of temperature after assimilation over the Bay of Bengal show strong resemblance with
the corresponding ship observations, emphasizing the importance of the adjoint technique in ocean data assimilation. 相似文献
20.
海洋环流对全球增暖趋势的调制：基于FGOALS-s2的数值模拟研究 总被引：1，自引：0，他引：1
在工业革命以来全球长期增暖趋势背景下,全球平均表面气温还同时表现出年代际变化特征,二者叠加在一起使得全球平均气温在某些年份增暖相对停滞(如1999～2008年)或者增暖相对较快(如1980～1998年).利用中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室(LASG)发展的耦合气候模式FGOALS-s2历史气候和典型路径浓度(RCPs)模拟试验结果研究了可能造成全球增暖的年代际停滞及加速现象的原因,特别是海洋环流对全球变暖趋势的调制作用.该模式模拟的全球平均气温与观测类似,即在长期增暖趋势之上,还叠加了显著的年代际变化.对全球平均能量收支分析表明,模拟的气温年代际变化与大气顶净辐射通量无关,意味着年代际表面气温变化可能与能量在气候系统内部的重新分配有关.通过对全球增暖加速和停滞时期大气和海洋环流变化的合成分析及回归分析,发现全球表面气温与大部分海区海表温度(SST)均表现出几乎一致的变化特征.在增暖停滞时期,SST降低,更多热量进入海洋次表层和深层,使其温度增加;而在增暖加速时期,更多热量停留在表层,使得大部分海区SST显著增加,次表层海水和深海相对冷却.进一步分析表明,热带太平洋表层和次表层海温年代际变化主要是由于副热带—热带经圈环流(STC)的年代际变化所致,然后热带太平洋海温异常可以通过风应力和热通量强迫作用引起印度洋、大西洋海温的年代际变化.在此过程中,海洋环流变化起到了重要作用,例如印度尼西亚贯穿流(ITF)年代际异常对南印度洋次表层海温变化起到关键作用,而大西洋经圈翻转环流(AMOC)则能直接影响到北大西洋深层海温变化. 相似文献