共查询到18条相似文献，搜索用时 93 毫秒
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利用美国NOAA/NCEP环境模拟中心海洋模拟小组近年新开发的一个准业务化的海浪数值模式WAVEWATCH Ⅲ(以下简称WWATCH),以每天4次的NOAA/NCEP再分析风场资料为输入,模拟了1996年的南海海域的海面风浪场,通过分析TOPEX/Poseidon(以下简称T/P)高度计的上升和下降轨道在南海海域的交叉点位置处的风、浪观测资料与NCEP风场和WWATCH模式模拟的有效波高大小,可以看出,NCEP风场基本与T/P高度计的风速观测结果一致,相应的模式模拟的有效波高也基本与卫星高度计的有效波高观测结果相一致,但从空间上看,在计算区域中心附近海域的结果一致性较好,靠近计算边界附近海域的结果相对较差,但这种因边界而影响模拟结果的范围很有限;从时间上看,冬季风期间的结果一致性较好,而夏季风期间的结果偏小的趋势明显,并且这种偏小主要出现在夏季风期间的极小风速值附近。 相似文献
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基于1987年9月到1988年8月期间南海北部的一个浮标资料,首先分析了美国环境预报中心(NCEP)和国家大气研究中心(NCAR)联合推出的再分析风场在南海北部海域的适用性,结果表明NCEP/NCAR再分析风场在一定程度上与浮标观测结果相一致。然后利用NCEP/NCAR再分析风场作为海浪模式输入场,评估了WAVEWATCHⅢ(WW3)和Simulating Waves Nearshore(SWAN)这2个海浪模式在南海北部海域模拟海浪的能力,结果表明在季风和季风转换期间,WW3模式和SWAN模式对有效波高的模拟能力几乎一致。在季风期间,WW3模式对平均波周期的模拟能力优于SWAN模式;而在季风转换时期,SWAN模式模拟平均波周期的能力较好。此外,还利用WW3模拟结果分析了南海北部海域海浪的空间分布特征,分析结果表明有效波高受季风影响呈显著的季节变化,平均波周期呈现相对显著的半年变化。 相似文献
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WAVEWATCH和SWAN嵌套模拟台风浪场的结果分析 总被引：1，自引：0，他引：1
利用WAVEWATCH和SWAN嵌套模拟2007年8月墨西哥湾飓风迪安的波浪场.将QSCAT/NCEP混合风场与台风模型风场合成为背景风场.修改WAVEWATCH和SWAN嵌套接口以使WAVEWATCH和SWAN2种海浪预报模式能够有效地嵌套运行.利用WAVEWATCH和SWAN嵌套模拟飓风迪安的波浪场,采用浮标资料检验模拟结果,以验证WAVEWATCH和SWAN模拟的准确性及修改后嵌套接口的可用性.结果表明,修改嵌套接口之后模式运行平稳,2种模式的结果与浮标及高度计观测数据均基本吻合.嵌套模拟结果好于单纯使用WAVEWATCH模拟的结果,体现了利用2种模式嵌套模拟台风浪场的科学性. 相似文献
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海浪搅拌混合对北太平洋海表面温度模拟的影响 总被引：1，自引：1，他引：0
利用NCEP再分析风场驱动WAVEWATCH III海浪模式对北太平洋海域的海浪过程进行模拟,利用浮标观测资料对模拟出的海浪要素有效波高进行验证,发现他们之间具有很好的一致性。基于模式输出的有效波高等波浪要素,利用特征波参数化理论,在海洋环流模式中引入海浪搅拌混合作用,分析其对北太平洋海表面温度模拟的影响,初步数值模拟结果表明,sbPOM模式在考虑海浪搅拌混合作用以后,模拟精度进一步提升,这对提供一个准确的大气模式下边界条件具有重要作用。 相似文献
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东中国海海浪数值模式的研究 总被引：7，自引：1，他引：7
为建立适应东中国海的海浪数值模式，主要基于目前广泛使用的WAVEWATCHⅡⅠ海浪数值模式进行东中国海海域的海浪数值模拟。以NCEP和NCEP与QSCAT的混合风场资料为输入，模拟了两个时间段的东中国海海域的海面风浪场。选取的两个有实测资料的输出点分别在渤海和东海。从所得结果来看，使用NCEP与QSCAT混合风场模拟的东海观测点处的波高和风场的观测值和模拟值符合的较好；利用1998年相应时间段的NCEP风场模拟的上述两点结果与实测比较也是可以接受的。研究结果说明，在目前情况下，运用NCEP与QSCAT混合风场建立统一的东中国海海浪数值预报模式是可行的，同时为东中国海波气候学研究及海洋大气耦合作用研究奠定了模式基础。 相似文献
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《热带海洋学报》2017,(4)
赤道太平洋冷舌模拟偏低且过于西伸是一个共性问题。基于特征波参数化理论,利用美国国家环境预报中心(National Centers for Environmental Prediction,NCEP)再分析风场驱动海浪模式WAVEWATCHⅢ模拟所得的有效波高、波周期、波长等海浪要素,计算出海浪混合作用引起的垂直涡动动量系数和热混合系数,将其引入到SBPOM(Stony Brook Parallel Ocean Model)环流模式的动量控制方程中,由此探究海浪混合作用对热带海洋海表面温度模拟的影响。初步数值模拟研究结果表明,海浪混合作用的考虑,有效地改进了环流模式模拟热带海洋海表面温度偏低和赤道冷舌偏冷且过于西伸的现象,使得环流模式对热带海洋的模拟效果更好。 相似文献
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This study analyses a 4.5 year (September 2009–March 2014) time-series of remotely-sensed data of altimeter significant wave heights to describe the temporal and spatial variability of ocean swells along the northern coast of the Gulf of Guinea. The NOAA WAVEWATCH III (NWW3) wave model data were used with altimeter data to determine the origin of the swells that occur along the coast of Côte d'Ivoire in West Africa. We show that the ocean swells along the northern coast of the Gulf of Guinea are generated in the Southern Ocean and then propagate from south to north in the South Atlantic Ocean, before turning south-west to north-east close to the coast. This finding corroborates previous studies in this area. The remotely-sensed and NWW3 significant wave height data captured the strong swells observed along the coast of Côte d'Ivoire from the period 28 August–3 September 2011, which were responsible for an extreme erosion event of more than 12?m along that country's coastline. This extreme event was triggered by a strong storm in the region between 40° and 60° S that occurred eight days previously in the South Atlantic. The waves propagated as swells at a speed of about 875?km day–1 before reaching the northern African coast. 相似文献
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The accurate surface wind in the equatorial Indian Ocean is crucial for modeling ocean circulation over this region. In this study, the surface wind analysis generated at the European Center for Medium Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction (NCEP) are compared with NASA QuikSCAT satellite derived Level2B (swath level) and Level3 (gridded) surface winds for the year 2005. It is observed that the ECMWF winds exhibit speed bias of 1.5 m/s with respect to QuikSCAT Level3 in the southern equatorial Indian Ocean. The NCEP winds are found to exhibit speed bias (1.0–1.5 m/s) in the southern equatorial Indian Ocean specifically during January–February 2005. The biases are also observed in the analysis when compared with Level2B product as well; however, it is less in comparison to Level3 products. The amplitude of daily variations of both ECMWF and NCEP wind speed in Bay of Bengal and parts of the Arabian Sea is about 80% of that in QuikSCAT, while in the equatorial Indian Ocean it is about 60% of that of QuikSCAT. 相似文献
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Surface layer atmospheric and ocean observations have been collected along the cruise track from a special scientific expedition to Antarctica. Bulk estimates of surface momentum flux, sensible heat flux and latent heat flux have been computed applying bulk algorithms from the data collected along cruise track during the time period January 27 to March 31, 2006, and compared the results with National Centre for Environmental Prediction (NCEP) reanalysis. Underestimation of surface momentum flux in roaring forties (40°S–50°S) area of Indian Ocean is seen from NCEP reanalysis. Systemic differences in sensible and latent heat fluxes between observed and NCEP reanalysis have been found. Along the cruise track, the average sensible (latent) heat flux was 9.45 Wm?2 (67.46 Wm?2) and 3.75 Wm?2 (64.45 Wm?2) from the direct measurement and NCEP reanalysis, respectively. The NCEP reanalysis is being widely used in numerical modeling studies, and the discrepancies shown in the NCEP reanalysis in present study will be of immense use to the modeling community of the Indian Ocean in general and Southern Indian Ocean in particular. 相似文献
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Vadlamudi Brahmananda Rao Emanuel Giarolla Clóvis Monteiro do Espírito Santo Sergio Henrique Franchito 《Journal of Oceanography》2008,64(4):551-560
A comparison of monthly wind stress derived from winds of NCEP/NCAR (National Centers for Environmental Prediction/National
Center for Atmospheric Research) reanalysis and UWM/COADS (The University of Wisconsin-Milwaukee/Comprehensive Ocean-Atmosphere
Data Set) dataset (1950–1993), and of NCEP/NCAR reanalysis and satellite-based QuikSCAT dataset (2000–2006), is made over
the South Atlantic (10°N–40°S). On a mean seasonal scale, the comparison shows that these three wind stress datasets have
qualitatively similar patterns. Quantitatively, in general, from about the equator to 20°S in the mid-Atlantic the wind stress
values are stronger in NCEP/NCAR data than those in UWM/COADS data. On the other hand, in the Intertropical Convergence Zone
(ITCZ) area the wind stress values in NCEP/NCAR data are slightly weaker than those in UWM/COADS data. In the South Atlantic,
between 20° S–40°S, the QuikSCAT dataset presents complex circulation structures which are not present in NCEP/NCAR and UWM/COADS
data. The wind stress is used in a numerical ocean model to simulate ocean currents, which are compared to a drifting-buoy
observed climatology. The modeled South Equatorial Current agrees better with observations between March–May and June–August.
Between December–February, the South Equatorial Current from UWM/COADS and QuikSCAT experiments is stronger and more developed
than that from NCEP/NCAR experiment. The Brazil Current, in turn, is better represented in the QuikSCAT experiment. Comparison
of the annual migration of ITCZ at 20° and 30°W in UWM/COADS and NCEP/NCAR data sources show that the southernmost position
of ITCZ at 30°W in February, March and April coincides with the rainy season in NE Brazil, while the northernmost position
of ITCZ at 20°W in August coincides with the maximum rainfall of Northwest Africa. 相似文献
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南海夏季风暴发过程的低频特征 总被引：7，自引：2，他引：5
应用1979～1996年共18a的NOAA卫星OLR资料及NCEP/NCAR再分析850hPa风场资料,分析了夏季南海地区及南海季风暴发过程的某些低频特征。认为北半球夏季南海地区的低频活动较活跃,并且具有明显的年际变化,这种年际变化同南海季风的暴发时间有联系。南海地区的低频振荡在南海季风暴发后增强。通过对18a 及K*的时段叠加合成图的分析,发现南海夏季风的暴发同赤道印度洋低频振荡的东传及西太平洋低频扰动西传有密切联系,南海夏季风暴发期间南海地区将印度洋与西太平洋之间的低频活动联系在一起。 相似文献
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Sensitivity of the Interannual Kuroshio Transport Variation South of Japan to Wind Dataset in OGCM Calculation 总被引：1，自引：2，他引：1
Hiroshi Yoshinari Motoyoshi Ikeda Kiyoshi Tanaka Yukio Masumoto 《Journal of Oceanography》2004,60(2):341-350
Numerical experiments were carried out using OGCM (Ocean General Circulation Model), MOM2.2 (Modular Ocean Model Ver. 2.2),
over realistic topography data, ETOPO5 (Earth Topography - 5 Minute), to investigate the interannual variability of the Kuroshio
transport in 1960–2000 south of Japan; 1) the PN line located off the East China Sea, and 2) the ASUKA (Affiliated Surveys
of the Kuroshio off Cape Ashizuri) line located off Cape Ashizuri. We adopted two wind datasets as driving forces of the OGCM:
1) the NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research) reanalysis monthly
mean wind stress data, and 2) the ECMWF (European Centre for Medium-range Weather Forecasts) daily wind data. In the ECMWF
experiments we replaced the NCEP/NCAR data only in 1979–1993 because of the availability of the data. The OGCMs and observation
basically agree on the temporal variation patterns of the transports until 1986 on the PN line with correlation coefficients
of about 0.6. During the 1990s, when data were collected on the ASUKA line, the NCEP/NCAR experiments give lower correlation
coefficients (less than 0.3), on both PN and ASUKA lines, while the ECMWF experiments have a higher value on the ASUKA line
(0.5). One of the reasons for the disagreement between the observations and OGCMs during the 1990s might arise from the NCEP/NCAR
data. An additional analysis of a wind-driven circulation was performed to examine the sensitivity of integrated Sverdrup
transport along the western boundary to the propagation speed of a baroclinic Rossby wave, which is varied by stratification.
A variation of the stratification, which might be induced by variability of air-sea heat and freshwater fluxes, cannot be
a main cause of the disagreement.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
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Suchandra Aich Bhowmick Ruchi Modi K. G. Sandhya M. Seemanth T. M. Balakrishnan Nair Raj Kumar 《Marine Geodesy》2015,38(3):396-408
The current study aims to analyze the wind and wave parameters over Indian Ocean region obtained from first Ka –band altimeter AltiKa onboard SARAL, a collaborative mission of Indian Space Research Organization (ISRO) and Centre National d'Etudes Spatiales (CNES), France. It also demonstrates a real time application of SARAL data by assimilating the wave height in a wave model operational at the Space Applications Centre, ISRO. State-of–the art coastal wave model Simulating Wave Near shore (SWAN) is used for this purpose. The well-tested optimal interpolation technique is adopted for assimilation. Before proceeding to the assimilation per se, SARAL/AltiKa Wind and Significant Wave Height (SWH) have been validated using in- situ observations and WAVEWATCH III model. Apart from assessment of wind and wave data quality, this also served the purpose of providing error covariance to be used in assimilation. Supremacy of the assimilation run over parallel control run without assimilation has been judged by comparing the results with buoy observations at Indian National Centre for Ocean Information System (INCOIS). The statistics of validation of the assimilation run has been found to be extremely encouraging and interesting. 相似文献