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1.
A comparative study of the Indian summer monsoon hydroclimate and its variations in three reanalyses
This study examines the Indian summer monsoon hydroclimate in the National Centers for Environmental Prediction (NCEP)-Department of Energy (DOE) Reanalysis (R2), the Climate Forecast System Reanalysis (CFSR), and the Modern Era Retrospective-Analysis for Research and Applications (MERRA). The three reanalyses show significant differences in the climatology of evaporation, low-level winds, and precipitable water fields over India. For example, the continental evaporation is significantly less in CFSR compared to R2 and MERRA. Likewise the mean boreal summer 925?hPa westerly winds in the northern Indian Ocean are stronger in R2. Similarly the continental precipitable water in R2 is much less while it is higher and comparable in MERRA and CFSR. Despite these climatological differences between the reanalyses, the climatological evaporative sources for rain events over central India show some qualitative similarities. Major differences however appear when interannual variations of the Indian summer monsoon are analyzed. The anomalous oceanic sources of moisture from the adjacent Bay of Bengal and Arabian Sea play a significant role in determining the wet or dry year of the Indian monsoon in CFSR. However in R2 the local evaporative sources from the continental region play a more significant role. We also find that the interannual variability of the evaporative sources in the break spells of the intraseasonal variations of the Indian monsoon is stronger than in the wet spells. We therefore claim that instead of rainfall, evaporative sources may be a more appropriate metric to observe the relationship between the seasonal monsoon strength and intraseasonal activity. These findings are consistent across the reanalyses and provide a basis to improve the predictability of intraseasonal variability of the Indian monsoon. This study also has a bearing on improving weather prediction for tropical cyclones in that we suggest targeting enhanced observations in the Bay of Bengal (where it is drawing the most moisture from) for improved analysis during active spells of the intraseasonal variability of the Indian monsoon. The analysis suggests that the land–atmosphere interactions contribute significant uncertainty to the Indian monsoon in the reanalyses, which is consistent with the fact that most of the global reanalyses do not assimilate any land-surface data because the data are not available. Therefore, the land–atmosphere interaction in the reanalyses is highly dependent on the land-surface model and it’s coupling with the atmospheric model. 相似文献
2.
Prediction skill of the Madden and Julian Oscillation in dynamical extended range forecasts 总被引：1，自引：0，他引：1
The Madden and Julian Oscillation (MJO) is the most prominent mode of intraseasonal variations in the tropical region. It
plays an important role in climate variability and has a significant influence on medium-to-extended ranges weather forecasting
in the tropics. This study examines the forecast skill of the oscillation in a set of recent dynamical extended range forecasts
(DERF) experiments performed by the National Centers for Environmental Prediction (NCEP). The present DERF experiments were
done with the reanalysis version of the medium range forecast (MRF) model and include 50-day forecasts, initialized once-a-day
(0Z) with reanalyses fields, for the period between 1 January, 1985, and 31 December, 1989. The MRF model shows large mean
errors in representing intraseasonal variations of the large-scale circulation, especially over the equatorial eastern Pacific
Ocean. A diagnostic analysis has considered the different phases of the MJO and the associated forecast skill of the MRF model.
Anomaly correlations on the order of 0.3 to 0.4 indicate that skillful forecasts extend out to 5 to 7 days lead-time. Furthermore,
the results show a slight increase in the forecast skill for periods when convective anomalies associated with the MJO are
intense. By removing the mean errors, the analysis shows systematic errors in the representation of the MJO with weaker than
observed upper level zonal circulations. The examination of the climate run of the MRF model shows the existence of an intraseasonal
oscillation, although less intense (50–70%) and with faster (nearly twice as fast) eastward propagation than the observed
MJO. The results indicate that the MRF model likely has difficulty maintaining the MJO, which impacts its forecast. A discussion
of future work to improve the representation of the MJO in dynamical models and assess its prediction is presented.
Received: 28 December 1998 / Accepted: 27 September 1999 相似文献
3.
Wanqiu Wang Pingping Xie Soo-Hyun Yoo Yan Xue Arun Kumar Xingren Wu 《Climate Dynamics》2011,37(7-8):1601-1620
This paper analyzes surface climate variability in the climate forecast system reanalysis (CFSR) recently completed at the National Centers for Environmental Prediction (NCEP). The CFSR represents a new generation of reanalysis effort with first guess from a coupled atmosphere?Cocean?Csea ice?Cland forecast system. This study focuses on the analysis of climate variability for a set of surface variables including precipitation, surface air 2-m temperature (T2m), and surface heat fluxes. None of these quantities are assimilated directly and thus an assessment of their variability provides an independent measure of the accuracy. The CFSR is compared with observational estimates and three previous reanalyses (the NCEP/NCAR reanalysis or R1, the NCEP/DOE reanalysis or R2, and the ERA40 produced by the European Centre for Medium-Range Weather Forecasts). The CFSR has improved time-mean precipitation distribution over various regions compared to the three previous reanalyses, leading to a better representation of freshwater flux (evaporation minus precipitation). For interannual variability, the CFSR shows improved precipitation correlation with observations over the Indian Ocean, Maritime Continent, and western Pacific. The T2m of the CFSR is superior to R1 and R2 with more realistic interannual variability and long-term trend. On the other hand, the CFSR overestimates downward solar radiation flux over the tropical Western Hemisphere warm pool, consistent with a negative cloudiness bias and a positive sea surface temperature bias. Meanwhile, the evaporative latent heat flux in CFSR appears to be larger than other observational estimates over most of the globe. A few deficiencies in the long-term variations are identified in the CFSR. Firstly, dramatic changes are found around 1998?C2001 in the global average of a number of variables, possibly related to the changes in the assimilated satellite observations. Secondly, the use of multiple streams for the CFSR induces spurious jumps in soil moisture between adjacent streams. Thirdly, there is an inconsistency in long-term sea ice extent variations over the Arctic regions between the CFSR and other observations with the CFSR showing smaller sea ice extent before 1997 and larger extent starting in 1997. These deficiencies may have impacts on the application of the CFSR for climate diagnoses and predictions. Relationships between surface heat fluxes and SST tendency and between SST and precipitation are analyzed and compared with observational estimates and other reanalyses. Global mean fields of surface heat and water fluxes together with radiation fluxes at the top of the atmosphere are documented and presented over the entire globe, and for the ocean and land separately. 相似文献
4.
Based on various statistical indices, the abilities of multi-generation reanalyses, namely the NCEP/NCAR
Reanalysis 1 (R1), the NCEP-DOE Reanalysis 2 (R2) and the NCEP Climate Forecast System Reanalysis (CFSR), to
reproduce the spatiotemporal characteristics of precipitation over Zhejiang Province are comprehensively compared. The
mean absolute bias percentages for three reanalyses are 20% (R1), 10% (R2) and 37% (CFSR). R2 (R1) gives the best
(worst) general depiction of the spatial characteristics of the observed precipitation climatology, whereas a significant
wet bias is noticed in CFSR. All reanalyses reasonably reproduce the interannual variability with the correlation
coefficients of 0.72 (R1), 0.72 (R2) and 0.84 (CFSR). All reanalyses well represent the first two modes of the observed
precipitation through Empirical Orthogonal Function analysis, with CFSR giving the best capture of the principal
components. The root-mean-square error (RMSE) is the largest (smallest) in CFSR (R2). The large RMSE of CFSR in
summer (especially in June) contributes mostly to its systematic wet bias. After 2001, the wet-bias of CFSR substantially
weakens, probably attributed to increasing observations assimilated in the CFSR. On a monthly basis, the percentage of
neutral bias cases are similar for all reanalyses, while the ratio of positive (negative) bias cases for CFSR is distinctly
larger (smaller) than that of R1 and R2. The proportions of negative bias cases for R1 and R2 begin to increase after
2001 while keeping stable for CFSR. On a daily basis, all reanalyses give good performances of reproducing light rain;
however, the reflection of moderate rain and heavier rain by CFSR is better than R1 and R2. Overall, despite being a
third-generation reanalysis product, CFSR does not exhibit comprehensive superiorities over R1 and R2 in all aspects on
a regional scale. 相似文献
5.
The Atlantic Warm Pool (AWP) region, which is comprised of the Gulf of Mexico, Caribbean Sea and parts of the northwestern tropical Atlantic Ocean, is one of the most poorly observed parts of the global oceans. This study compares three ocean reanalyses, namely the Global Ocean Data Assimilation System of National Centers for Environmental Prediction (NCEP), the Climate Forecast System Reanalysis (CFSR) of NCEP, and the Simple Ocean Data Assimilation (SODA) for its AWP variation. The surface temperature in these ocean reanalyses is also compared with that from the Extended Range SST version 3 and Optimally Interpolated SST version 2 SST analyses. In addition we also compare three atmospheric reanalyses: NCEP-NCAR (R1), NCEP-DOE (R2), and CFSR for the associated atmospheric variability with the AWP. The comparison shows that there are important differences in the climatology of the AWP and its interannual variations. There are considerable differences in the subsurface ocean manifestation of the AWP with SODA (CFSR) showing the least (largest) modulation of the subsurface ocean temperatures. The remote teleconnections with the tropical Indian Ocean are also different across the reanalyses. However, all three oceanic reanalyses consistently show the absence of any teleconnection with the eastern equatorial Pacific Ocean. The influence of the AWP on the tropospheric temperature anomalies last for up to a one season lead and it is found to be relatively weak in R1 reanalyses. A simplified SST anomaly equation initially derived for diagnosing El Niño Southern Oscillation variability is adapted for the AWP variations in this study. The analysis of this equation reveals that the main contribution of the SST variation in the AWP region is from the variability of the net heat flux. All three reanalyses consistently show that the role of the ocean advective terms, including that associated with upwelling in the AWP region, is comparatively much smaller. The covariance of the SST tendency in the AWP with the net heat flux is large, with significant contributions from the variations of the surface shortwave and longwave fluxes. 相似文献
6.
Summary Although variability is a fundamental aspect of the climate system, the interaction of different time scales of variability
remains difficult to assess and verbalize. Two well-documented examples of tropical variability on different time scales are
the El Ni?o/Southern Oscillation (ENSO) and the Madden-Julian Oscillation (MJO). Using the fifteen-year ECMWF Re-analysis
(ERA) data archive and outgoing longwave radiation (OLR) data, some of the ENSO modulations of the intraseasonal MJO are examined.
During El Ni˜o years, the MJO convection is able to propagate farther eastward into the central Pacific than it typically
does during normal years. The corresponding intraseasonal circulation anomalies are similarly translated farther east. However,
not all changes are this straight forward; for example, MJO convection is found to occur within westerly wind bursts during
the Normal years, but somewhat ahead of the winds during El Ni˜o.
ENSO-induced changes to the large-scale upper-tropospheric state provide different environments for outflow from MJO convection
across the North Pacific. During the El Ni?o years, the eastward shift of the local Hadley circulation means that MJO convection
must propagate farther east to reach an environment in which its meridional outflow can produce an appropriate Rossby wave
source for the extension of the east Asian jet and subsequent midlatitude height falls.
Received December 1, 1998 相似文献
7.
多套大气再分析资料的南亚高压强度变化特征及其与海表温度异常关系的比较分析 总被引：1，自引：0，他引：1
以往的研究中多采用NCE/NCAR再分析资料来讨论南亚高压的变化特征及其与海表温度的关系,鉴于其分析结果具有一定的片面性,本文采用ERA40、ERA—Interim、NCEWNCAR、NCEP—DOE和JRA．25五套再分析资料,以及应用全球、热带印度洋和热带大西洋1978--2008年逐月观测海表温度分别驱动NCARCAM5．1全球大气环流模式的数值模拟结果,比较了它们的夏季南亚高压强度变化特征及其与海表温度的关系。再分析资料问的比较结果表明,NCEWNCAR、NCEP—DOE两套再分析资料与ERA40、ERA—Interim、JRA-25三套再分析资料的南亚高压强度变化在20世纪70年代末至90年代初存在非常明显的差异,前两套再分析资料揭示的该时段南亚高压强度显著偏高,可能是不真实的,进而导致南亚高压强度与海表温度异常的关系与后三套再分析资料的结果差异明显。ERA40、ERA—Interim和JRA-25三套再分析资料和数值试验结果均表明,20世纪70年代末以后,夏季南亚高压强度异常与前期冬季、春季及同期夏季的热带印度洋海表温度异常关系持续密切,表明热带印度洋是影响夏季南亚高压强度变化的关键海区。当热带印度洋偏暖时,热带地区对流层温度增暖,南亚高压强度增强、面积增大、南扩、东伸西展,反之亦然。 相似文献
8.
The summer monsoon rainfall over India exhibits strong intraseasonal variability. Earlier studies have identified Madden Julian Oscillation (MJO) as one of the most influencing factors of the intraseasonal variability of the monsoon rainfall. In this study, using India Meteorological Department (IMD) high resolution daily gridded rainfall data and Wheeler?CHendon MJO indices, the intra-seasonal variation of daily rainfall distribution over India associated with various Phases of eastward propagating MJO life cycle was examined to understand the mechanism linking the MJO to the intraseasonal variability. During MJO Phases of 1 and 2, formation of MJO associated positive convective anomaly over the equatorial Indian Ocean activated the oceanic tropical convergence zone (OTCZ) and the resultant changes in the monsoon circulation caused break monsoon type rainfall distribution. Associated with this, negative convective anomalies over monsoon trough zone region extended eastwards to date line indicating weaker than normal northern hemisphere inter tropical convergence zone (ITCZ). The positive convective anomalies over OTCZ and negative convective anomalies over ITCZ formed a dipole like pattern. Subsequently, as the MJO propagated eastwards to west equatorial Pacific through the maritime continent, a gradual northward shift of the OTCZ was observed and negative convective anomalies started appearing over equatorial Indian Ocean. During Phase 4, while the eastwards propagating MJO linked positive convective anomalies activated the eastern part of the ITCZ, the northward propagating OTCZ merged with monsoon trough (western part of the ITCZ) and induced positive convective anomalies over the region. During Phases 5 and 6, the dipole pattern in convective anomalies was reversed compared to that during Phases 1 and 2. This resulted active monsoon type rainfall distribution over India. During the subsequent Phases (7 and 8), the convective and lower tropospheric anomaly patterns were very similar to that during Phase 1 and 2 except for above normal convective anomalies over equatorial Indian Ocean. A general decrease in the rainfall was also observed over most parts of the country. The associated dry conditions extended up to northwest Pacific. Thus the impact of the MJO on the monsoon was not limited to the Indian region. The impact was rather felt over larger spatial scale extending up to Pacific. This study also revealed that the onset of break and active events over India and the duration of these events are strongly related to the Phase and strength of the MJO. The break events were relatively better associated with the strong MJO Phases than the active events. About 83% of the break events were found to be set in during the Phases 7, 8, 1 and 2 of MJO with maximum during Phase 1 (40%). On the other hand, about 70% of the active events were set in during the MJO Phases of 3 to 6 with maximum during Phase 4 (21%). The results of this study indicate an opportunity for using the real time information and skillful prediction of MJO Phases for the prediction of break and active conditions which are very crucial for agriculture decisions. 相似文献
9.
利用再分析资料分析了MJO（Madden-Julian Oscillation）不同位相对春季中国东部降水的影响。结果表明：MJO处于位相3时对应长江及其以南地区降水增多,处于位相7时该区域降水减小。当热带MJO对流从位相1东传至位相4,与其相伴的北向辐散辐合流会在印度东北部—长江及副热带西北太平洋地区的对流层中低层产生明显的辐合异常,且在MJO位相3时中国东部的辐合异常达到最大。从Rossby波源角度分析,这种辐合异常会增强对流层中低层气旋性环流,导致MJO处于位相3时长江流域及其以南地区降水增多。同时,利用现代次季节和季节预报业务系统探讨了MJO与降水的关系对降水预报技巧的影响,发现预报降水和再分析产品的相关系数在MJO处于位相3和7时有所增加。 相似文献
10.
基于1979—2008年NCEP/CFSR再分析耦合数据集,研究了冬季MJO对ENSO事件的影响。结果表明,在年际时间尺度以及长期的年代际时间尺度上,热带印度洋MJO活动的强弱性都可以影响热带中东太平洋ENSO事件的发生和发展。在年际时间尺度上,ENSO发生前期征兆的赤道中东太平洋的西风爆发事件(Westerly Wind Burst,WWB),作为MJO影响ENSO的主要途径,存在着显著的次季节时间尺度的变化。相对于气候平均的赤道太平洋西部暖池区上升而东部下沉的Walker环流,MJO正位相东传后的西风异常,减弱了低层东风和赤道东太平洋海水上翻。这一上升海流的减弱导致了中东赤道太平洋的海温升高,从而有利于ENSO暖海温事件的发生。而在年代际时间尺度上,MJO范围和强度在1998年前后出现了明显的转变,1998年之前MJO的东移范围更东,强度更强,从而导致了西太平洋西风爆发区的次季节西风异常事件更加显著,在Bjeknes正反馈机制下对应了年代际时间尺度下的强尼诺事件出现,1998年之后则与之相反。冬季MJO对ENSO影响的这一年代际特征主要体现在晚冬季节,而在早冬伴随着印度洋的增暖,MJO强度一直在逐年增加。 相似文献
11.
通过双线性插值、相关分析、Morlet小波分析等分析方法,围绕新高分辨率再分析资料MERRA的可用性,对比分析了NASA高分辨率再分析资料MERRA和NCEP-DOE（NCEP-2）再分析资料中100hPa南亚高压的活动特征.结果表明：100hPa上,NCEP-2和MERRA资料南亚高压的特征线数值不同,NCEP-2资料为1680dgpm,比MERRA资料大4dgpm,但MERRA资料南亚高压的范围明显大于NCEP-2资料.除东伸指数外,NCEP-2和MERRA资料反映的南亚高压同一特征指数年际变化趋势基本一致,特别是两种资料南亚高压脊线指数的年际变化曲线基本重合.以20世纪90年代初为界,之前,NCEP-2资料南亚高压东伸指数、面积指数和强度指数正异常,MERRA资料南亚高压东伸指数、面积指数和强度指数负异常,NCEP-2中的指数值大于MERRA中对应的指数值;之后,反之.NCEP-2和MERRA资料南亚高压面积指数、强度指数的气候均值间存在显著差异.NCEP-2和MERRA资料南亚高压强度指数的方差间存在显著差异.两种资料反映的夏季南亚高压同一特征指数的显著周期在1979～2009年有很好的一致性：都具有相同的显著周期,并且位相也基本吻合,但两种资料在反映南亚高压主周期特征上存在一定差异：南亚高压面积指数、强度指数在MERRA资料中以准4年周期为主,在NCEP-2资料中则同时表现为准4年和8～9年两个周期. 相似文献
12.
不同分辨率再分析资料对浙江省气温刻画能力的对比评估 总被引：1，自引：0，他引：1
利用浙江省66个基本气象站1979—2010年的日平均气温数据,系统评估了三套再分析资料R1、R2和CFSR对浙江省气温的刻画能力。结果表明:三套再分析资料的气候平均态与观测均存在一定差异,其中R1、R2的空间分布型与观测较为接近,CFSR与观测差异较大;三套再分析资料均存在系统性冷偏差且这一偏差在32年中稳定存在,其中CFSR的冷偏差更显著,浙南地区是其冷偏差的重要来源。三套资料的均方根误差均存在季节变化:冬季（特别是1月）误差较小而夏季（特别是7-8月）误差较大,R1和R2的季节差异强于CFSR。CFSR对浙江省气温变率的把握能力优于R1和R2,其距平场EOF分解前三模态的空间型态和时间系数与观测更为接近。系统误差订正后,三套再分析资料的可信度得到显著改善,CFSR的改善效果最明显,说明系统性误差是三套再分析资料偏差的重要来源。改善后三套再分析资料的均方根误差和空间相关系数大体相当。CFSR网格点气温插值到观测站点时因海拔差异导致的误差以及CFSR在浙江省的模式地形偏高可能是其有较大冷偏差的重要原因。 相似文献
13.
Alain Tchakoutio Sandjon Armand Nzeukou Clément Tchawoua 《Meteorology and Atmospheric Physics》2012,117(3-4):167-179
The spatial and temporal structures of the intraseasonal atmospheric variability over central Africa is investigated using 2.5°?×?2.5° daily outgoing longwave radiation (OLR) and National Centers for Environmental Prediction (NCEP) Reanalysis zonal winds for the period 1980–2010. The study begins with an overview of the Central African rainfall regime, noting in particular the contrast amongst Western and Eastern parts, with different topography and surface conditions features. The annual mean rainfall and OLR over the region revealed a zone of intense convective activity centered on the equator near 30°E, which extends southward and covers almost all the Congo forest. The annual cycle of rainfall reflects the classical bi-annual shift of Inter-Tropical Convergence Zone across the equatorial belt, between 10°S and 10°N. The result of the empirical orthogonal functions (EOFs) analysis has shown that the three leading EOF modes explain about 45?% of total intraseasonal variability. The power spectra of all the three corresponding principal components (PCs) peak around 45–50?days, indicating a Madden–Julian Oscillation (MJO) signal. The first mode exhibits high positive loadings over Northern Congo, the second over Southern Ethiopia and the third over Southwestern Tanzania. The PCs time series revealed less interannual modulation of intraseasonal oscillations for the Congo mode, while Ethiopian and Tanzanian modes exhibit strong interannual variations. H?vmoller plots of OLR, 200 and 850?hPa NCEP zonal winds found the eastward propagating features to be the dominant pattern in all the three times series, but this propagation is less pronounced in the OLR than in the 850 and 200?hpa zonal wind anomalies. An index of MJO strength was built by averaging the 30–50?day power for each day. A plot of MJO indices and El Ni?o Southern Oscillation (ENSO) cycle confirm a strong interannual modulation of MJO over Eastern central Africa partially linked with the ENSO events (El Ni?o and La Ni?a). Strong MJO activity is observed during La Ni?a years or during ENSO-neutral years, while weak or absent MJO activity is typically associated with strong El Ni?o episodes. 相似文献
14.
15.
Daehyun Kim Myong-In Lee Dongmin Kim Siegfried D. Schubert Duane E. Waliser Baijun Tian 《Climate Dynamics》2014,43(1-2):517-534
Tropical subseasonal variability of precipitation from five global reanalyses (RAs) is evaluated against Global Precipitation Climatology Project (GPCP) and Tropical Rainfall Measuring Mission (TRMM) observations. The RAs include the three generations of global RAs from the National Center for Environmental Prediction (NCEP), and two other RAs from the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Aeronautics and Space Administration/Goddard Space Flight Center (NASA/GSFC). The analysis includes comparisons of the seasonal means and subseasonal variances of precipitation, and probability densities of rain intensity in selected areas. In addition, the space–time power spectrum was computed to examine the tropical Madden-Julian Oscillation (MJO) and convectively coupled equatorial waves (CCEWs). The modern RAs show significant improvement in their representation of the mean state and subseasonal variability of precipitation when compared to the two older NCEP RAs: patterns of the seasonal mean state and the amplitude of subseasonal variability are more realistic in the modern RAs. However, the probability density of rain intensity in the modern RAs show discrepancies from observations that are similar to what the old RAs have. The modern RAs show higher coherence of CCEWs with observed variability and more realistic eastward propagation of the MJO precipitation. The modern RAs, however, exhibit common systematic deficiencies including: (1) variability of the CCEWs that tends to be either too weak or too strong, (2) limited coherence with observations for waves other than the MJO, and (3) a systematic phase lead or lag for the higher-frequency waves. 相似文献
16.
Guojun Gu 《Climate Dynamics》2009,32(4):457-471
Intraseasonal (30–80 days) variability in the equatorial Atlantic-West African sector during March–June is investigated using
various recently-archived satellite measurements and the NCEP/DOE AMIP-II reanalysis daily data. The global connections of
regional intraseasonal signals are first examined for the period of 1979–2006 through lag-regression analyses of convection
(OLR) and other dynamic components against a regional intraseasonal convective (OLR) index. The eastward-propagating features
of convection can readily be seen, accompanied by coherent circulation anomalies, similar to those for the global tropical
intraseasonal mode, i.e., the Madden–Julian oscillation (MJO). The regressed TRMM rainfall (3B42) anomalies during the TRMM
period (1998–2006) manifest similar propagating features as for the regressed OLR anomalies during 1979–2006. These coherent
features hence tend to suggest that the regional intraseasonal convective signals might be mostly a regional response to,
or closely associated with the MJO, and probably contribute to the MJO’s global propagation. Atmospheric and surface intraseasonal
variability during March–June of 1998–2006 are further examined using the high-quality TRMM Microwave Imager (TMI) sea surface
temperature (SST), columnar water vapor, and cloud liquid water, and the QuikSCAT oceanic winds (2000–2006). Enhanced (suppressed)
convection or positive (negative) rainfall anomalies approximately cover the entire basin (0°–10°N, 30°W–10°E) during the
passage of intraseasonal convective signals, accompanied by anomalous surface westerly (easterly) flow. Furthermore, a unique
propagating feature seems to exist within the tropical Atlantic basin. Rainfall anomalies always appear first in the northwestern
basin right off the coast of South America, and gradually extend eastward to cover the entire basin. A dipolar structure of
rainfall anomalies with cross-equatorial surface wind anomalies can thus be observed during this evolution, similar to the
anomaly patterns on the interannual time scale discovered in past studies. Coherent intraseasonal variations and patterns
can also be found in other physical components.
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| Guojun GuEmail: |
17.
Intraseasonal Oscillation of the South China Sea Summer Monsoon and Its Influence on Regionally Persistent Heavy Rain over Southern China 
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下载免费PDF全文 The intraseasonal oscillation（ISO） in the South China Sea summer monsoon（SCSSM） and its influence on regionally persistent heavy rain（RPHR） over southern China are examined by using satelhte outgoing long wave radiation,NCEP/NCAR reanalysis,and gridded rainfall station data in China from 1981 to 2010.The most important feature of the ISO in SCSSM,contributing to the modulation of RPHR,is found to be the fluctuation in the western Pacific subtropical high（WPSH）,along with a close link to the Madden-Julian oscillation（MJO）.Southern China is divided into three regions by using rotated empirical orthogonal functions（REOFs）for intraseasonal rainfall,where the incidence rate of RPHR is closely linked to the intraseasonal variation in rainfall.It is found that SCSSM ISOs are the key systems controlling the intraseasonal variability in rainfall and can be described by the leading pair of empirical orthogonal functions（EOFs） for the 850-hPa zonal wind over the SCS and southern China.Composite analyses based on the principal components（PCs） of the EOFs indicate that the ISO process in SCSSM exhibits as the east-west oscillation of the WPSH,which is coupled with the northward-propagating MJO,creating alternating dry and wet phases over southern China with a period of 40 days.The wet phases provide stable and lasting circulation conditions that promote RPHR.However,differences in the ISO structures can be found when RPHR occurs in regions where the WPSH assumes different meridional positions.Further examination of the meridional-phase structure suggests an important role of northward-propagating ISO and regional air-sea interaction in the ISO process in SCSSM. 相似文献
18.
This study examines the forecast performance of tropical intraseasonal oscillation (ISO) in recent dynamical extended range
forecast (DERF) experiments conducted with the National Centers for Environmental Prediction (NCEP) Global Forecasting System
(GFS) model. The present study extends earlier work by comparing prediction skill of the northern winter ISO (Madden-Julian
Oscillation) between the current and earlier experiments. Prediction skill for the northern summer ISO is also investigated.
Since the boreal summer ISO exhibits northward propagation as well as eastward propagation along the equator, forecast skill
for both components is computed. For the 5-year period from 1 January, 1998 through 31 December, 2002, 30-day forecasts were
made once a day. Compared to the previous DERF experiment, the current model has shown some improvements in forecasting the
ISO during winter season so that the skillful forecasts (anomaly correlation>0.6) for upper-level zonal wind anomaly extend
from the previous shorter-than 5 days out to 7 days lead-time. A similar level of skill is seen for both northward and eastward
propagation components during the summer season as in the winter case. Results also show that forecasts from extreme initial
states are more skillful than those from null phases for both seasons, extending the skillful range by 3–6 days. For strong
ISO convection phases, the GFS model performs better during the summer season than during the winter season. In summer forecasts,
large-scale circulation and convection anomalies exhibit northward propagation during the peak phase. In contrast, the GFS
model still has difficulties in sustaining ISO variability during the northern winter as in the previous DERF run. That is,
the forecast does not maintain the observed eastward propagating signals associated with large-scale circulation; rather the
forecast anomalies appear to be stationary at their initial location and decay with time. The NCEP Coupled Forecast System
produces daily operational forecasts and its predication skill of the MJO will be reported in the future. 相似文献
19.
20.
Takeshi Izumo Sébastien Masson Jérome Vialard Clément de Boyer Montegut Swadhin K. Behera Gurvan Madec Keiko Takahashi Toshio Yamagata 《Climate Dynamics》2010,35(4):669-683
The Madden–Julian oscillation (MJO) is the main component of intraseasonal variability of the tropical convection, with clear
climatic impacts at an almost-global scale. Based on satellite observations, it is shown that there are two types of austral-summer
MJO events (broadly defined as 30–120 days convective variability with eastward propagation of about 5 m/s). Equatorial MJO
events have a period of 30–50 days and tend to be symmetric about the equator, whereas MJO events centered near 8°S tend to
have a longer period of 55–100 days. The lower-frequency variability is associated with a strong upper-ocean response, having
a clear signature in both sea surface temperature and its diurnal cycle. These two MJO types have different interannual variations,
and are modulated by the Indian Ocean Dipole (IOD). Following a negative IOD event, the lower-frequency southern MJO variability
increases, while the higher-frequency equatorial MJO strongly diminishes. We propose two possible explanations for this change
in properties of the MJO. One possibility is that changes in the background atmospheric circulation after an IOD favour the
development of the low-frequency MJO. The other possibility is that the shallower thermocline ridge and mixed layer depth,
by enhancing SST intraseasonal variability and thus ocean–atmosphere coupling in the southwest Indian Ocean (the breeding
ground of southern MJO onset), favour the lower-frequency southern MJO variability. 相似文献