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1.
利用1979—2016年ERA-Interim有效波高（SWH）和海表风场数据,分析了南海-北印度洋极端海浪场分布和变化.结果表明：南海-北印度洋极端SWH分布和极端风速分布形态以及年际变化趋势高度一致,说明了涌浪为主的北印度洋和风浪为主的南海一样,极端SWH都由局地的极端风速控制;强极端SWH主要分布在阿拉伯海以及南海北部,阿拉伯海北部增长与该区域气旋强度增强有着密切关系,而南海的极端SWH主要受东北季风控制;东非沿岸极端SWH线性增长趋势则与索马里急流的年代际尺度上有逐渐增强的线性趋势有关.北印度洋及南海海域极端SWH距平场的EOF分析结果表明,南海极端SWH与北印度洋表现出反相变化的特征.北印度洋（南海海域）极端SWH多出现在西南季风（东北季风）期间,因为在西南季风（东北季风）期间,极端风速也相对增强. 相似文献
2.
采用1958年1月—2001年12月ECMWF ERA-40的10m风场资料,以及由该风场资料驱动WAVEWATCHⅢ得到的北印度洋—南海海域44a的海浪场资料,通过EOF分析、正交小波分析和M-K检测方法,分析了北印度洋—南海海域海面风场和有效波高的年代际变化特征。结果表明：北印度洋—南海海域存在3个大风、大浪区,其中亚丁湾以东洋面风力最强,有效波高最高;表面风场和有效波高存在35、15和3a的主周期变化,并自20世纪70年代中期以来,年平均风场和有效波高均存在明显增强趋势,1977年为突变起始年;年平均海表10m风速和有效波高随时间增大主要是由冬季和春季海表10m风速和有效波高随时间增大引起的;冬、秋季海面风场与有效波高的年际、年代际变化周期较一致,冬季以35～40a的周期为主,秋季以11～12a的周期为主。 相似文献
3.
The ensemble based forecast sensitivity to observation method by Liu and Kalnay is applied to the SPEEDY-LETKF system to estimate the observation impact of three types of simulated observations. The estimation results show that all types of observations have positive impact on short-range forecast. The largest impact in Northern Hemisphere is produced by rawinsondes, followed by satellite retrieved profiles and cloud drift wind data, which in Southern Hemisphere is produced by satellite retrieved profiles, rawinsondes and cloud drift wind data. Satellite retrieved profiles influence more on the Southern Hemisphere than on the Northern Hemisphere due to few observations from rawinsondes in the Southern Hemisphere. At the level of 200 to 300 hPa, the largest impact is attributed to wind observations from rawinsondes and cloud drift wind. 相似文献
4.
This study examines the variability of the monthly average significant wave height (SWH) field in the Mediterranean Sea, in
the period 1958–2001. The analysed data are provided by simulations carried out using the WAM model (WAMDI group, 1988) forced
by the wind fields of the ERA-40 (ECMWF Re-Analysis). Comparison with buoy observations, satellite data, and simulations forced
by higher resolution wind fields shows that, though results underestimate the actual SWH, they provide a reliable representation
of its real space and time variability. Principal component analysis (PCA) shows that the annual cycle is characterised by
two main empirical orthogonal functions (EOF) patterns. Most inter-monthly variability is associated with the first EOF, whose
positive/negative phase is due to the action of Mistral/Etesian wind regimes. The second EOF is related to the action of southerly
winds (Libeccio and Sirocco). The annual cycle presents two main seasons, winter and summer characterised, the first, by the
prevalence of eastwards and southeastwards propagating waves all over the basin, and the second, by high southwards propagating
waves in the Aegean Sea and Levantin Basin. Spring and fall are transitional seasons, characterised by northwards and northeastwards
propagating waves, associated to an intense meridional atmospheric circulation, and by attenuation and amplification, respectively,
of the action of Mistral. These wave field variability patterns are associated with consistent sea level pressure (SLP) and
surface wind field structures. The intensity of the SWH field shows large inter-annual and inter-decadal variability and a
statistically significant decreasing trend of mean winter values. The winter average SWH is anti-correlated with the winter
NAO (North Atlantic Oscillation) index, which shows a correspondingly increasing trend. During summer, a minor component of
the wave field inter-annual variability (associated to the second EOF) presents a statistically significant correlation with
the Indian Monsoon reflecting its influence on the meridional Mediterranean circulation. However, the SLP patterns associated
with the SWH inter-annual variability reveal structures different from NAO and Monsoon circulation. In fact, wave field variability
is conditioned by regional storminess in combination with the effect of fetch. The latter is likely to be the most important.
Therefore, the inter-annual variability of the mean SWH is associated to SLP patterns, which present their most intense features
above or close to Mediterranean region, where they are most effective for wave generation.
相似文献
| P. LionelloEmail: |
5.
The first two leading modes of interannual variability of sea surface temperature in the Tropical Indian Ocean (TIO) are governed by El Niño Southern Oscillation and Indian Ocean Dipole (IOD) respectively. TIO subsurface however does not co-vary with the surface. The patterns of the first mode of TIO subsurface temperature variability and their vertical structure are found to closely resemble the patterns of IOD and El Niño co-occurrence years. These co-occurrence years are characterized by a north–south subsurface dipole rather than a conventional IOD forced east–west dipole. This subsurface dipole is forced by wind stress curl anomalies, driven mainly by meridional shear in the zonal wind anomalies. A new subsurface dipole index (SDI) has been defined in this study to quantify the intensity of the north–south dipole mode. The SDI peaks during December to February (DJF), a season after the dipole mode index peaks. It is found that this subsurface north–south dipole is a manifestation of the internal mode of variability of the Indian Ocean forced by IOD but modulated by Pacific forcing. The seasonal evolution of thermocline, subsurface temperature and the corresponding leading modes of variability further support this hypothesis. Positive wind stress curl anomalies in the south and negative wind stress curl anomalies in the north of 5°S force (or intensify) downwelling and upwelling waves respectively during DJF. These waves induce strong subsurface warming in the south and cooling in the north (especially during DJF) and assist the formation and/or maintenance of the north–south subsurface dipole. A thick barrier layer forms in the southern TIO, supporting the long persistence of anomalous subsurface warming. To the best of our knowledge the existence of such north–south subsurface dipole in TIO is being reported for the first time. 相似文献
6.
北冰洋地区海浪的生成和发展会受到海冰范围变化的显著影响。本文介绍了近年来基于浮标、潜标和走航观测,以及卫星遥感和数值模拟等方法开展的不同海冰覆盖度下北冰洋海浪的研究进展,包括海冰覆盖区海浪的传播机制等。北冰洋夏季开阔海域的平均有效波高可达3 m,在风暴期间,波弗特海有效波高可达5 m。除大西洋一侧,夏季北冰洋大部分海域海浪活动在过去几十年呈增强趋势,其中楚科奇-波弗特海有效波高增长趋势为1~3 cm/a。这一趋势主要是由海冰范围减少导致的风区增大和风暴的频率、强度增加共同导致的。基于CMIP5多模式集的预估结果显示,相比历史时期(1979—2005年),21世纪末(2081—2100年)北冰洋有效波高将以3 cm/a的速率持续增长,其中北冰洋中心地区东部海域增长最为明显。海浪活动增多会在消融期通过海浪-海冰正反馈机制促进海冰的消融。在沿岸地区,增多的海浪会加速海岸带侵蚀,促进沿岸冻土的崩解。极端海浪事件还会威胁航运安全。未来研究需基于更多的现场观测,加深对海冰范围和厚度变化影响下海浪的生成、发展、传播、衰减机制的认识,进一步提高冰区海浪模拟和预估水平。 相似文献
7.
This study examines wave disturbances on submonthly (6–30-day) timescales over the tropical Indian Ocean during Southern Hemisphere summer using Japanese Reanalysis (JRA25-JCDAS) products and National Oceanic and Atmospheric Administration outgoing longwave radiation data. The analysis period is December–February for the 29 years from 1979/1980 through 2007/2008. An extended empirical orthogonal function (EEOF) analysis of daily 850-hPa meridional wind anomalies reveals a well-organized wave-train pattern as a dominant mode of variability over the tropical Indian Ocean. Daily lagged composite analyses for various atmospheric variables based on the EEOF result show the structure and evolution of a wave train consisting of meridionally elongated troughs and ridges along the Indian Ocean Intertropical Convergence Zone (ITCZ). The wave train is oriented in a northeast–southwest direction from Sumatra toward Madagascar. The waves have zonal wavelengths of about 3,000–5,000 km and exhibit westward and southwestward phase propagation. Individual troughs and ridges as part of the wave train sequentially travel westward and southwestward from the west of Sumatra into Madagascar. Meanwhile, eastward and northeastward amplification of the wave train occurs associated with the successive growth of new troughs and ridges over the equatorial eastern Indian Ocean. This could be induced by eastward and northeastward wave energy dispersion from the southwestern to eastern Indian Ocean along the mean monsoon westerly flow. In addition, the waves modulate the ITCZ convection. Correlation statistics show the average behavior of the wave disturbances over the tropical Indian Ocean. These statistics and other diagnostic measures are used to characterize the waves obtained from the composite analysis. The waves appear to be connected to the monsoon westerly flow. The waves tend to propagate through a band of the large meridional gradient of absolute vorticity produced by the mean monsoon westerly flow. This suggests that the monsoon westerly flow provides favorable background conditions for the propagation and maintenance of the waves and acts as a waveguide over the tropical Indian Ocean. The horizontal structure of the wave train may be interpreted as that of a mixture of equatorial Rossby waves and mixed Rossby-gravity wavelike gyres. 相似文献
8.
The empirical orthogonal function (EOF) analysis of subsurface temperature shows a dominant north-south mode of interannual variability in the Tropical Indian Ocean (TIO) at around 100 m depth (thermocline). This subsurface mode (SSM) of variability evolves in September-November (SON) as a response to Indian Ocean Dipole and intensifies during December-February (DJF) reinforced by El Niño and Southern Oscillation (ENSO) forcing. The asymmetry in the evolution of positive and negative phases of SSM and its impacts on the modulation of surface features are studied. The asymmetry in the representation of anomalous surface winds along the equator and off-equatorial wind stress curl anomalies are primarily responsible for maintaining the asymmetry in the subsurface temperature through positive and negative phases of the SSM. During the positive phase of SSM, downwelling Rossby waves generated by anticyclonic wind stress curl propagate towards the southwestern TIO (SWTIO), the thermocline ridge region of mean upwelling. The warmer subsurface water associated with the downwelling Rossby waves upwells in the region of mean upwelling and warms the surface resulting in strong subsurface-surface coupling. Such interaction processes are however weak during the negative phase of SSM. The asymmetry in the subsurface-surface interaction during the two phases of SSM and its impact on the modulation of surface features of TIO are also reported. In addition to the ENSO forcing, self-maintenance of SSM during DJF season is evident in the positive SSM (PSSM) years through modulation of subsurface surface coupling and air-sea coupling. This positive feedback during PSSM years is maintained by the deepening thermocline, warm SSTs and convection. The asymmetry in the thermocline evolution is more evident in the SWTIO and southern TIO. 相似文献
9.
A. G. Nidheesh Matthieu Lengaigne Jérôme Vialard A. S. Unnikrishnan H. Dayan 《Climate Dynamics》2013,41(2):381-402
In this study, we analysed decadal and long-term steric sea level variations over 1966–2007 period in the Indo-Pacific sector, using an ocean general circulation model forced by reanalysis winds. The simulated steric sea level compares favourably with sea level from satellite altimetry and tide gauges at interannual and decadal timescales. The amplitude of decadal sea level variability (up to ~5 cm standard deviation) is typically nearly half of the interannual variations (up to ~10 cm) and two to three times larger than long-term sea level variations (up to 2 cm). Zonal wind stress varies at decadal timescales in the western Pacific and in the southern Indian Ocean, with coherent signals in ERA-40 (from which the model forcing is derived), NCEP, twentieth century and WASWind products. Contrary to the variability at interannual timescale, for which there is a tendency of El Niño and Indian Ocean Dipole events to co-occur, decadal wind stress variations are relatively independent in the two basins. In the Pacific, those wind stress variations drive Ekman pumping on either side of the equator, and induce low frequency sea level variations in the western Pacific through planetary wave propagation. The equatorial signal from the western Pacific travels southward to the west Australian coast through equatorial and coastal wave guides. In the Indian Ocean, decadal zonal wind stress variations induce sea level fluctuations in the eastern equatorial Indian Ocean and the Bay of Bengal, through equatorial and coastal wave-guides. Wind stress curl in the southern Indian Ocean drives decadal variability in the south-western Indian Ocean through planetary waves. Decadal sea level variations in the south–western Indian Ocean, in the eastern equatorial Indian Ocean and in the Bay of Bengal are weakly correlated to variability in the Pacific Ocean. Even though the wind variability is coherent among various wind products at decadal timescales, they show a large contrast in long-term wind stress changes, suggesting that long-term sea level changes from forced ocean models need to be interpreted with caution. 相似文献
10.
对比两个同化资料GODAS（Global Ocean Data Assimilation System）和SODA（Simple Ocean Data Assimilation）,考察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发展的气候系统海洋模式LICOM（LASG/IAP Climate system Ocean Model）模拟的北印度洋经向环流及热输送的气候态。LICOM能抓住北印度洋大尺度环流的季节变化特征,模拟的年平均越赤道热输送为-0.24 PW （1 PW=1015W）,较之以往的数值模式结果更接近观测和同化资料。与同化资料的差异主要体现在季节变化强度,北半球夏季在赤道以南偏弱0.5 PW,这与模式夏季的纬向风应力偏弱,热输送中的大项Ekman热输送模拟偏弱,从而模拟的经圈翻转环流较浅有关。 相似文献
11.
Radar measurements of wave height are compared with independent measurements made during the JONSWAP-2 experiment by Waverider and pitch-roll buoys, a shipborne wave recorder and a laser profilometer. The radar data were recorded by a Naval Research Laboratory (NRL) nanosecond-pulse X-band radar altimeter flown in a NASA C-54 aircraft at 3-km altitude under various wind and sea conditions. Averages of 800 pulses of the pulse-limited altimeter data were used to calculate maximum-likelihood estimates of significant wave height (SWH) and skewness of the sea-surface height distribution. The mean values of the radar-estimated SWH were in good agreement with the other measurements. The standard deviation of the values of the radar measurements was typically 10% of the average wave height. A two-dimensional computer simulation of the sea surface indicates that the major portion of the observed standard deviation is attributable to the relatively small sea-surface area illuminated by the radar (125 m × 900 m) rather than to instrumental error. Increasing the number of pulses averaged reduced the variance in the estimates without changing the means. The mean value of the skewness parameter was generally near zero but the standard deviation was typically 0.25. The estimate of SWH did not change when the skewness parameter was constrained to zero. 相似文献
12.
The satellite-derived wind from cloud and moisture features of geostationary satellites is an important data source for numerical weather prediction(NWP) models. These datasets and global positioning system radio occultation(GPSRO)satellite radiances are assimilated in the four-dimensional variational atmospheric data assimilation system of the UKMO Unified Model in India. This study focuses on the importance of these data in the NWP system and their impact on short-term24-h forecasts. The quality of the wind observations is compared to the short-range forecast from the model background. The observation increments(observation minus background) are computed as the satellite-derived wind minus the model forecast with a 6-h lead time. The results show the model background has a large easterly wind component compared to satellite observations. The importance of each observation in the analysis is studied using an adjoint-based forecast sensitivity to observation method. The results show that at least around 50% of all types of satellite observations are beneficial. In terms of individual contribution, METEOSAT-7 shows a higher percentage of impact(nearly 50%), as compared to GEOS, MTSAT-2and METEOSAT-10, all of which have a less than 25% impact. In addition, the impact of GPSRO, infrared atmospheric sounding interferometer(IASI) and atmospheric infrared sounder(AIRS) data is calculated. The GPSRO observations have beneficial impacts up to 50 km. Over the Southern Hemisphere, the high spectral radiances from IASI and AIRS show a greater impact than over the Northern Hemisphere. The results in this study can be used for further improvements in the use of new and existing satellite observations. 相似文献
13.
利用美国西海岸7个近岸浮标2012年全年和中国近岸8个气象浮标2012年1—6月的风场观测数据,检验了卫星散射计ASCAT近岸风场产品中的风速和风向在近岸海域的精度。检验结果表明:在美国西海岸近岸海域,ASCAT近岸风场产品中的风速与浮标的风速一致性高,但ASCAT近岸风场产品中风向的精度受离岸距离、风速和风向等因素的影响,在离岸近的海域ASCAT近岸风场产品与浮标观测风场的一致性较差。统计发现,将低风速 (不超过3 m·s-1) 剔除可明显提高ASCAT近岸风场产品在近岸海域的精度。另外,ASCAT近岸风场产品的风向精度在不同风向上存在差异,表现为从陆地吹向海洋风向精度较小,而从海洋吹向陆地风向精度较高。在中国近岸海域,受地形影响,渤海海域ASCAT近岸风场产品与气象浮标观测的风向差异大,在其他近岸海域的ASCAT近岸风场产品和气象浮标的观测风场的对比结果与美国西海岸风场的对比结果特征相似。 相似文献
14.
A detailed study of long-term variability of winds using 30 years of data from the European Centre for Medium-range Weather Forecasts global reanalysis (ERA-Interim) over the Indian Ocean has been carried out by partitioning the Indian Ocean into six zones based on local wind extrema. The trend of mean annual wind speed averaged over each zone shows a significant increase in the equatorial region, the Southern Ocean, and the southern part of the trade winds. This indicates that the Southern Ocean winds and the southeast trade winds are becoming stronger. However, the trend for the Bay of Bengal is negative, which might be caused by a weakening of the monsoon winds and northeast trade winds. Maximum interannual variability occurs in the Arabian Sea due to monsoon activity; a minimum is observed in the subtropical region because of the divergence of winds. Wind speed variations in all zones are weakly correlated with the Dipole Mode Index (DMI). However, the equatorial Indian Ocean, the southern part of the trade winds, and subtropical zones show a relatively strong positive correlation with the Southern Oscillation Index (SOI), indicating that the SOI has a zonal influence on wind speed in the Indian Ocean. Monsoon winds have a decreasing trend in the northern Indian Ocean, indicating monsoon weakening, and an increasing trend in the equatorial region because of enhancement of the westerlies. The negative trend observed during the non-monsoon period could be a result of weakening of the northeast trade winds over the past few decades. The mean flux of kinetic energy of wind (FKEW) reaches a minimum of about 100?W?m?2 in the equatorial region and a maximum of about 1500?W?m?2 in the Southern Ocean. The seasonal variability of FKEW is large, about 1600?W?m?2, along the coast of Somalia in the northern Indian Ocean. The maximum monthly variability of the FKEW field averaged over each zone occurs during boreal summer. During the onset and withdrawal of monsoon, FKEW is as low as 50?W?m?2. The Southern Ocean has a large variation of about 1280?W?m?2 because of strong westerlies throughout the year. 相似文献
15.
This study aims to explore the relative role of oceanic dynamics and surface heat fluxes in the warming of southern Arabian Sea and southwest Indian Ocean during the development of Indian Ocean Dipole (IOD) events by using National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) daily reanalysis data and Global Ocean Data Assimilation System (GODAS) monthly mean ocean reanalysis data from 1982 to 2013, based on regression analysis, Empirical Orthogonal Function (EOF) analysis and combined with a 2? layer dynamic upper-ocean model. The results show that during the initial stage of IOD events, warm downwelling Rossby waves excited by an anomalous anticyclone over the west Indian Peninsula, southwest Indian Ocean and southeast Indian Ocean lead to the warming of the mixed layer by reducing entrainment cooling. An anomalous anticyclone over the west Indian Peninsula weakens the wind over the Arabian Sea and Somali coast, which helps decrease the sea surface heat loss and shallow the surface mixed layer, and also contributes to the sea surface temperature (SST) warming in the southern Arabian Sea by inhibiting entrainment. The weakened winds increase the SST along the Somali coast by inhibiting upwelling and zonal advection. The wind and net sea surface heat flux anomalies are not significant over the southwest Indian Ocean. During the antecedent stage of IOD events, the warming of the southern Arabian Sea is closely connected with the reduction of entrainment cooling caused by the Rossby waves and the weakened wind. With the appearance of an equatorial easterly wind anomaly, the warming of the southwest Indian Ocean is not only driven by weaker entrainment cooling caused by the Rossby waves, but also by the meridional heat transport carried by Ekman flow. The anomalous sea surface heat flux plays a key role to damp the warming of the west pole of the IOD. 相似文献
16.
It has been hypothesized (Moore et al., 1978; O'Brien et al., 1978), that equatorial upwelling and subsequent coastal upwelling on the eastern boundary of the Atlantic Ocean are the result of eastward propagating equatorially trapped Kelvin waves in the Atlantic. Concurrent satellite and ship sea surface temperature observations taken during the GATE experiment permit validation of the satellite data as well as relating sea surface temperature (SST) variability to the local current dynamics. A method based on cross-correlations and cross-spectra of the SST field at various locations is utilized to test the Kelvin wave hypothesis. Significant periodic variation of time lags in the SST variability in the eastern Atlantic is observed by the spectral techniques. Satellite data for the 1974 summer show periodic variability which fits either eastward or westward propagating waves with 1 m s-1 phase speed, i.e., SST supports the quasi-continuous presence of Kelvin or Yanai waves. We find no evidence for a seasonally solitary eastward propagating signal in the eastern Atlantic from SST. 相似文献
17.
对近30年南极海冰密集度资料的EOF和SVD分析，发现南极地区在罗斯海外围和别林斯高晋海的海冰密集度场存在着“翘翘板”的变化特征，并与ENSO有密切联系。由此定义两个海冰关键区的差值为南极海冰涛动指数（ASOI），ASOI超前SOI和Nino3指数2个月时，其正、负相关系数达到最大，并通过α=0.001的信度检验。ASOI高、低指数阶段对应的南半球海平面气温、气压场和风场的合成分析表明，海冰关键区的异常变化可能引起温度、气压、风场的响应而影响南太平洋的洋流，进而对ENSO的发生、发展产生影响。 相似文献
18.
对2018年5 km分辨率中国地面气象要素2 m温度、10 m风速和24 h累积降水格点融合产品进行非独立和独立检验。非独立检验结果表明:(1)相比于站点观测,2 m温度格点融合产品整体偏暖,各月平均均方根误差在1℃左右,35℃以上高温和-20℃以下低温天气时均方根误差分别在1℃和2℃以上。(2)10 m风速格点融合产品可准确地描述0~2级风速,但对3级以上,特别是6级以上大风风速描述能力偏弱,主要表现为比实际偏小。(3)卫星-地面观测的二源融合和卫星-雷达-地面观测的三源融合降水格点产品在0~0.1 mm降水区间出现降水面积过大的现象;随着降水量级的增加,两种产品的均方根误差和平均偏差均随之增加,主要表现为降水融合产品的量级比观测偏小。相对而言,三源融合降水格点产品的准确性优于二源融合产品的。独立检验结果表明,三种要素的检验指标随时间或阈值的变化趋势与非独立检验基本一致,且更能表明格点融合产品与观测之间的偏差。主要是因为独立检验中使用到的观测均未参与格点融合产品的制作过程。综上所述,中国地面气象要素格点融合产品对一般天气描述较好,但在高低温、大风或强降水等极端天气时误差较大。 相似文献
19.
By analyzing the climatologically averaged wind stress during 2000-2007,it is found that the easterly wind stress in the northern tropical Pacific Ocean from Quick Scatterometer(QSCAT) data was stronger than those from Tropical Atmosphere Ocean(TAO) data and from National Centers for Environmental Prediction/National Center for Atmospheric Research(NCEP/NCAR) reanalysis I.As a result,the Intertropical Convergence Zone(ITCZ) in the Pacific Ocean is more southward in the QSCAT data than in the NCEP/NCAR data.Relative to the NCEP wind,the southern shift of the ITCZ in the QSCAT data led to negative anomaly of wind stress curl north of a latitude of 6 N.The negative anomaly results in downward Ekman pumping in the central Pacific.The excessive local strong easterly wind also contributes to the downward Ekman pumping.This downward Ekman pumping suppresses the thermocline ridge,reduces the meridional thermocline slope and weakens the North Equatorial Countercurrent(NECC).These effects were confirmed by numerical experiments using two independent ocean general circulation models(OGCMs).Furthermore,the excessive equatorial easterly wind stress was also found to contribute to the weaker NECC in the OGCMs.A comparison between the simulations and observation data indicates that the stronger zonal wind stress and its southern shift of QSCAT data in the ITCZ region yield the maximum strength of the simulated NECC only 33% of the magnitude derived from observation data and even led to a "missing" NECC in the western Pacific. 相似文献
20.
M. G. Sotillo A. W. Ratsimandresy J. C. Carretero A. Bentamy F. Valero F. González-Rouco 《Climate Dynamics》2005,25(2-3):219-236
A 44-year (1958–2001) high-resolution atmospheric hindcast for the whole Mediterranean Basin was performed within the EU-funded
Hindcast of Dynamic Processes of the Ocean and Coastal Areas of Europe (HIPOCAS) Project. The long-term hindcasted data set,
which comprises several atmospheric parameters at different levels, was produced by means of dynamical downscaling from the
NCEP/NCAR global reanalysis using the atmospheric limited area model REMO. The REMO hindcast has been exhaustively validated.
On that score, various hindcasted surface parameters, such as 10-m wind field, 2-m temperature and mean sea level pressure,
have been compared to satellite data (ERS-1/2 scatterometer) and in-situ measurements from offshore stations. In addition,
two ocean models (waves and sea level) have been forced with REMO hindcasted fields (mean sea level pressure and 10-m wind
field). The validation of these ocean runs, performed through comparisons of simulated waves and sea level with oceanographic
measurements, allows to evaluate "indirectly" the quality of the REMO hindcasted data used as atmospheric forcing. Once the
quality of the hindcasted data was verified, the efficiency of the regional enhancement performed through dynamical downscaling
on the NCEP global reanalysis was assessed. The regional improvement was evaluated through comparisons of REMO and NCEP performance
in reproducing observations. The important improvement obtained in the characterization of extreme wind events is particularly
remarkable. 相似文献