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An ocean model was used to examine whether the scatterometer winds can improve the model performance both dynamically and thermodynamically. Comparisons were done using QuikSCAT and NCEP2 winds for both the mean and variability from 2000 to 2004. The comparisons showed that the model forced by QuikSCAT winds gives more realistic mean SST, 20 °C isotherm depth (Z20), and latent heat flux than NCEP2 winds do. Sensitivity experiments indicated that QuikSCAT mean wind stress is important for the improved mean SST, Z20, and latent heat release to the atmosphere in the eastern Pacific. QuikSCAT wind speed, through its effect on the turbulent heat fluxes, is most important for the mean SST in the western Pacific. Finally, there were comparable correlations with observations of both SST and Z20 on the intra-seasonal time scale between the model forced with QuikSCAT winds and the model forced with NCEP2 winds. 相似文献
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Upper Ocean Sensitivity to Wind Forcing in the South China Sea 总被引：2，自引：0，他引：2
E. Joseph Metzger 《Journal of Oceanography》2003,59(6):783-798
The Naval Research Laboratory (NRL) Layered Ocean Model (NLOM) has been used to investigate the sensitivity of the upper South
China Sea (SCS) circulation to various atmospheric wind forcing products. A 1/16° 6-layer, thermodynamic Pacific Ocean north
of 20°S version of NLOM has been integrated using observed climatological monthly mean winds (Hellerman and Rosenstein, 1983)
and climatologies based on two atmospheric prediction models: the European Centre for Medium-Range Weather Forecasts (ECMWF)
and the National Centers for Environmental Prediction (NCEP). ECMWF products include the 10 meter winds (at both 1.125° and
2.5° resolution) and surface stresses (1.125°). The NCEP forcing (1.875°) is a surface stress product. Significant differences
exist in the wind stress curl patterns and this is reflected in the upper ocean model response, which is compared to observational
data. The model experiments suggest the generation of the West Luzon Eddy is controlled by positive wind stress curl. The
degree of Kuroshio intrusion into the SCS, however, is not affected by wind stress curl but is governed by the coastline geometry
of the island chain within Luzon Strait. The summertime offshore flow from the Vietnamese coast is present in all simulations
but the dipole structure on either side of the jet is variable, even among experiments with similar wind stress curl patterns.
The ECMWF surface stresses exhibit spurious coastal wind stress curl patterns, especially in locations with significant orographic
features. This manifests itself in unrealistic small scale coastal gyres in NLOM. High resolution basin-scale and coastal
models might be adversely affected by these stresses.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
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The geophysical model function (GMF) describes the relationship between a backscattering and a sea surface wind, and enables a wind vector retrieval from backscattering measurements. It is clear that t... 相似文献
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Evaluation of ENVISAT ASAR data for sea surface wind retrieval in Hong Kong coastal waters of China 总被引：2，自引：1，他引：1
The C-band wind speed retrieval models, CMOD4, CMOD - IFR2, and CMOD5 were applied to retrieval of sea surface wind speeds from ENVISAT （European environmental satellite） ASAR （advanced synthetic aperture radar） data in the coastal waters near Hong Kong during a period from October 2005 to July 2007. The retrieved wind speeds are evaluated by comparing with buoy measurements and the QuikSCAT （quick scatterometer） wind products. The results show that the CMOD4 model gives the best performance at wind speeds lower than 15 m/s. The correlation coefficients with buoy and QuikSCAT winds are 0.781 and 0.896, respectively. The root mean square errors are the same 1.74 m/s. Namely, the CMOD4 model is the best one for sea surface wind speed retrieval from ASAR data in the coastal waters near Hong Kong. 相似文献
6.
New satellite-derived latent and sensible heat fluxes are performed by using Wind Sat wind speed, Wind Sat sea surface temperature, the European Centre for Medium-range Weather Forecasting(ECMWF) air humidity, and ECMWF air temperature from 2004 to 2014. The 55 moored buoys are used to validate them by using the 30 min and 25 km collocation window. Furthermore, the objectively analyzed air-sea heat fluxes(OAFlux) products and the National Centers for Environmental Prediction-National Center for Atmospheric Research reanalysis 2(NCEP2) products are also used for global comparisons. The mean biases of sensible and latent heat fluxes between Wind Sat flux results and buoy flux data are –0.39 and –8.09 W/m~2, respectively. In addition, the rootmean-square(RMS) errors of the sensible and latent heat fluxes between them are 5.53 and 24.69 W/m~2,respectively. The RMS errors of sensible and latent heat fluxes are observed to gradually increase with an increasing buoy wind speed. The difference shows different characteristics with an increasing sea surface temperature, air humidity, and air temperature. The zonal average latent fluxes have some high regions which are mainly located in the trade wind zones where strong winds carry dry air in January, and the maximum value centers are found in the eastern waters of Japan and on the US east coast. Overall, the seasonal variability is pronounced in the Indian Ocean, the Pacific Ocean, and the Atlantic Ocean. The three sensible and latent heat fluxes have similar latitudinal dependencies; however, some differences are found in some local regions. 相似文献
7.
3种海面风场资料在台湾海峡的比较和评估 总被引：7，自引：3，他引：4
本文对3种海面风场资料(CCMP、NCEP、ERA)在台湾海峡风场的平面分布和时间变化特征进行了相互比较,并应用2011年浮标观测的风速和风向资料分别对3种风场的误差进行了分析及评估。主要结论如下:(1)3种资料风场的平面分布、季节变化和年际变化特征基本一致,差异主要表现在冬季NCEP资料在海峡中部和南部的风速相对CCMP和ERA资料较大;(2)CCMP资料的风速偏差、风速均方根误差和风向均方根误差分别为-0.62m/s、1.67m/s和31°,NCEP分别为0.15m/s、1.64m/s和31°,ERA分别为-1.36m/s、2.4m/s和33°;NCEP资料的风速整体略偏大、CCMP略偏小、ERA偏小明显,CCMP和NCEP资料比ERA资料更接近观测;(3)在西南季风影响期以及风速较小时(风速不大于10m/s)CCMP资料的风速可信度较高、NCEP资料的风速偏大;在东北季风影响期以及风速较大时(大于10m/s)NCEP资料的风速可信度较高、CCMP资料的风速偏小;(4)3种资料的风向误差接近,均在低风速时(风速小于5m/s)误差较大。本文的结论可以为台湾海峡的海洋和大气科学研究选择合适的海面风场资料提供借鉴和参考。 相似文献
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Eleven years (1997–2007) of SeaWiFS observations and Ocean General Circulation Model sensitivity experiments are used to understand chlorophyll–a variability in the southern tropical Indian Ocean. The strong offshore Ekman transport forced by anomalous southeasterly winds are responsible for inducing higher chlorophyll-a in the eastern equatorial Indian Ocean. In the case of the southwest tropical Indian Ocean, Rossby waves and local upwelling are responsible for lifting the phytoplankton from deep chlorophyll maxima to the surface. Both intraseasonal dynamical response and interannual forcing are responsible for the phytoplankton blooming in the western basin, whereas the interannual forcing is mainly responsible in the east. 相似文献
10.
A. V. Garmashov A. A. Kubryakov M. V. Shokurov S. V. Stanichny Yu. N. Toloknov A. I. Korovushkin 《Izvestiya Atmospheric and Oceanic Physics》2016,52(3):309-316
Wind-velocity data obtained from in situ measurements at the Golitsyno-4 marine stationary platform have been compared with QuikSCAT scatterometer data; NCEP, MERRA, and ERA-Interim global reanalyses and MM5 regional atmospheric reanalysis. In order to adjust wind velocity measured at a height of 37 m above the sea surface to a standard height of 10 m with stratification taken into account, the Monin–Obukhov theory and regional atmospheric reanalysis data are used. Data obtained with the QuikSCAT scatterometer most adequately describe the real variability of wind over the Black Sea. Errors in reanalysis data are not high either: the regression coefficient varies from 0.98 to 1.06, the rms deviation of the velocity amplitude varies from 1.90 to 2.24 m/s, and the rms deviation of the direction angle varies from 26° to 36°. Errors in determining the velocity and direction of wind depend on its amplitude: under weak winds (<3 m/s), the velocity of wind is overestimated and errors significantly increase in determining its direction; under strong winds (>12 m/s), its velocity is underestimated. The influence of these errors on both spatial and temporal estimates of the characteristics of wind over the Black Sea is briefly considered. 相似文献
11.
The long-term trend of the sea surface wind speed and the wave height (wind wave, swell, mixed wave)in global ocean during the last 44 a 总被引：2，自引：1，他引：1
Utilizing the 45 a European Centre for Medium-Range Weather Forecasts(ECMWF)reanalysis wave data(ERA-40),the long-term trend of the sea surface wind speed and(wind wave,swell,mixed wave)wave height in the global ocean at grid point 1.5×1.5 during the last 44 a is analyzed.It is discovered that a majority of global ocean swell wave height exhibits a significant linear increasing trend(2–8 cm/decade),the distribution of annual linear trend of the significant wave height(SWH)has good consistency with that of the swell wave height.The sea surface wind speed shows an annually linear increasing trend mainly concentrated in the most waters of Southern Hemisphere westerlies,high latitude of the North Pacific,Indian Ocean north of 30 S,the waters near the western equatorial Pacific and low latitudes of the Atlantic waters,and the annually linear decreasing mainly in central and eastern equator of the Pacific,Juan.Fernandez Archipelago,the waters near South Georgia Island in the Atlantic waters.The linear variational distribution characteristic of the wind wave height is similar to that of the sea surface wind speed.Another find is that the swell is dominant in the mixed wave,the swell index in the central ocean is generally greater than that in the offshore,and the swell index in the eastern ocean coast is greater than that in the western ocean inshore,and in year-round hemisphere westerlies the swell index is relatively low. 相似文献
12.
Naoto Ebuchi 《Journal of Oceanography》2000,56(2):161-172
In order to validate wind vectors derived from the NASA scatterometer (NSCAT), statistical distributions of wind speeds and directions retrieved by the NSCAT-2 geophysical model function have been investigated by comparison with wind data retrieved by the other model functions such as SASS-2 and NSCAT-1 and those derived from the wind analyses of the European Centre for Medium Range Weather Forecasts (ECMWF). The histogram of the NSCAT-2 wind speeds has a similar shape to those of the ECMWF and NSCAT-1 winds, but is slightly shifted toward higher wind speed to adjust negative bias which has been found in the NSCAT-1 winds by previous buoy comparison studies. Variations of the standard deviation of the NSCAT-2 wind speeds with incidence angle are greater than those of the ECMWF and NSCAT-1 winds. The frequency distribution of wind directions relative to spacecraft flight direction has been calculated to assess the self-consistency of the wind directions. It was found that the NSCAT-2 wind vectors exhibit systematic directional preference relative to antenna beams. This artificial directivity is considered to be caused by imperfections in the antenna beam balancing and the geophysical model function. The skill of the ambiguity removal procedure is discussed as a function of wind speed and incidence angle, and is found to be improved compared to the NSCAT-1 winds, especially at high incidence angles. It is concluded that systematic errors in wind directions might be increased by modifications from NSCAT-1 to NSCAT-2, though the wind speed bias is removed and the ambiguity removal skill is improved. 相似文献
13.
利用小波分析方法,对2003-2008年周平均的Argo(地转海洋学实时观测阵)海温资料进行了分析,给出了全球上层海温年周期和半年周期振荡的空间分布特征.结果表明,南北半球中高纬地区以表层海温的年周期变化为主,在低纬度地区,表层海温以半年周期为主,而温跃层附近海温既有年周期也有半年周期(赤道太平洋、东南印度洋和赤道西大西洋以年周期为主;赤道东、西印度洋以半年周期为主).南北半球中高纬的年周期海温和北半球中纬度的半年周期海温在表层范围最大,显著性最高,强度最强,位相最前.随深度的增加,范围减小,显著性降低,强度减弱,位相滞后.信号主要集中在水深50 m以上,影响深度在150m以浅;赤道附近的太平洋和热带东南印度洋的年周期海温以及赤道东、西印度洋的半年周期海温在水深100m范围最大,显著性最高,强度最强,位相最前,信号主要集中在温跃层附近,影响深度均可达500m. 相似文献
14.
赤道印度洋海温偶极子的气候影响及数值模拟研究 总被引：5，自引：0，他引：5
在分析研究印度洋海温变化的基本特征,尤其是在分析赤道印度洋海温偶极子及其影响的基础上,利用IAP9L大气环流模式模拟研究了赤道印度洋海温偶极子异常对亚洲季风区气候变化的影响.其结果表明,印度洋、亚洲南部和东部地区的流场和降水都对印度洋海温异常的强迫作用比较敏感.正位相印度洋偶极子的作用使得赤道东印度洋-印度次大陆南部-阿拉伯海一带出现距平东风,孟加拉湾-中南半岛出现异常反气旋性环流,从而对减少印度南部和中南半岛南部、印度尼西亚地区的夏季降水,以及增加中国南部和东非的夏季降水有十分重要的作用.与此相反,负位相印度洋偶极子的作用将使赤道东印度洋附近出现西风异常,孟加拉湾-中南半岛存在异常气旋性环流,从而使印度次大陆和中南半岛南部、印度尼西亚地区的降水增加,使中国西部和孟加拉湾的降水减少.数值模拟结果与资料分析相互映证,切实地揭示了印度洋海温偶极子对亚洲季风区的气候变化有重要影响. 相似文献
15.
印度洋上层海气相互作用对印度洋和太平洋气候系统有重要影响。目前针对印度洋气候态环流特征已有较为全面的研究,但针对印度洋环流的年际变化及其季节性差异的特征分析和具体作用机制,仍缺乏深入的研究。本文利用1979—2007年Simple Ocean Data Assimilation(SODA)再分析资料研究了赤道印度洋表层辐合辐散的年际变异及其季节依赖性。结果表明,以赤道为中心,印度洋上层异常海流,在经向上形成显著的辐合(辐散)现象,究其原因主要是赤道纬向风异常形成的Ekman流所导致。进一步分析表明,热带印度洋异常纬向风的成因与太平洋-印度洋的热力强迫过程作用有关,并且不同的热力强迫过程呈现出显著的季节差异性。此热力强迫过程,具体可分为3种类型:第一类是太平洋纬向海表热力差异的遥强迫作用,主要发生在冬末春初,热带太平洋的纬向热力差异通过调节Walker环流,在印度洋激发出一个异常的次级环流,对应的大气低层形成纬向风异常;第二类是东-西印度洋海表热力差异的局地强迫作用导致的局地环流,使赤道印度洋上空形成纬向风异常,此过程在春末夏初较为显著;第三类是太平洋-印度洋热力差协同作用的结果,使赤道印度洋盛行异常的纬向风,此过程在秋季起主导作用。 相似文献
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Spatio-temporal variability in sea surface wind stress near and off the east coast of Korea 总被引：1，自引：1，他引：0
Sea surface wind stress variabilities near and off the east coast of Korea, are examined using 7 kinds of wind datasets from measurements at 2 coastal (land) stations and 2 ocean buoys,satellite scatterometer (QuikSCAT), and global reanalyzed products (ECMWF,NOGAPS,and NCEP/NCAR). Temporal variabilities are analyzed at 3 frequency bands; synoptic (2-20 d), intra-seasonal (20-90 d),and seasonal (>90 d).Synoptic and intra-seasonal 相似文献
17.
印度洋-太平洋暖池季节变化及其相应的大气环流形式 总被引：1，自引：1，他引：0
首先通过对英国大气科学数据中心海表面温度资料和Levitus随深度变化的海温资料的分析,给出了印度洋-太平洋暖池季节变化的详细描述.另外,利用NCEP/NCAR再分析大气资料中的风场数据,采取将水平风场分量分解为无辐散分量和无旋分量的方法,分析了相应于暖池季节变化的大气环流形式.得到了这样的结论：第一,印度洋-太平洋暖池的位置随季节变化南北移动;暖池面积在北半球的5月和9月达到两个极大值;无论就海表面温度还是深度而言,该暖池分别存在一或两个强度中心.第二,尽管印度洋-太平洋暖池中间被南亚大陆所间隔,但是暖池上空对流层大气运动对于暖池的季节变化却是作为一个整体响应的. 相似文献
18.
1957～2002年南海—北印度洋海浪场波候特征分析 总被引：2，自引：0，他引：2
利用ERA-40海表10 m风场驱动第三代海浪数值模式WAVEWATCH-Ⅲ,得到南海—北印度洋1957年9月至2002年8月的海浪场,并分析其波候(风候)特征.研究发现如下主要特征:(1)该海域的波高波向、风速风向受季风影响显著;(2)北印度洋大部分海域的海表风速呈显著性逐年线性递增趋势,大约0.01～0.02 m/(s·a),南海线性递增的区域则较少,有效波高呈显著性逐年线性递增的区域主要集中在低纬度中东印度洋(约0.003～0.006 m/a)、索马里附近海域(大约0.002～0.005 m/a)、南海大部分海域(约0.002～0.004 m/a),线性递减的区域主要集中在孟加拉湾海域(约-0.002 m/a);(3)Nino3指数与南海—北印度洋的海表风场、浪场存在密切的关系;(4)南海—北印度洋的海表风速与有效波高存在5.2a左右的共同周期,南海的海表风速、有效波高还存在2.0a左右的共同周期,北印度洋的海表风速、有效波高还存在26.0a的长周期震荡. 相似文献
19.
QuikSCAT卫星遥感风场可靠性分析及其揭示的中国近海风速分布 总被引：3，自引：0，他引：3
利用2000—2009年美国国家航空航天局(NASA)在中国近海海域(0°~45°N,105°~135°E)的QuikSCAT卫星遥感风场资料与近海测风塔(位于上海近海)、海上石油平台(位于东海和渤海)、岛屿站(南海珊瑚岛和西沙海边观测塔)的实测风场资料进行对比分析,检验了QuikSCAT卫星遥感风场资料在中国近海海域的可靠性。研究结果如下:各站点实测风速与站点位置以及站点附近的QuikSCAT卫星遥感风场资料相关系数均在0.7以上;QuikSCAT卫星遥感风场资料与海上石油平台的风速均方根误差较小(约1.5 m/s);其年均值均大于实测值,差值范围是0.1~1.3 m/s;其Weibull形状参数K与海上石油平台以及近海测风塔的K值较为接近,表明QuikSCAT卫星遥感风场资料各风速段的频次分布形态与观测站的实测值基本吻合,QuikSCAT卫星遥感风场资料能基本合理地反映出中国近海风速的分布状况。利用QuikSCAT卫星遥感风场资料分析了中国近海及其邻近水域风速的空间分布特征:(1)台湾海峡是中国近海风速最大的区域,从台湾海峡向东北至日本海,往西南至南海北部115°E附近和巴林塘海峡为风速的次大值区;(2)28°N到长江入海口的东海海域年均风速为7.0~7.5 m/s,在黄海和渤海为5.5~7.0 m/s,在南海北部自东向西由8.5 m/s递减为6.0 m/s,北部湾最大风速区位于东方附近海域。 相似文献
20.
Three archived reanalysis wind vectors at 10 m height in the wind speed range of 2–15 m/s, namely, the second version of the National Centres for Environmental Prediction(NCEP) Climate Forecast System Reanalysis(CFSv2), European Centre for Medium-Range Weather Forecasting Interim Reanalysis(ERA-I) and NCEPDepartment of Energy(DOE) Reanalysis 2(NCEP-2) products, are evaluated by a comparison with the winds measured by moored buoys in coastal regions of the South China Sea(SCS). The buoy data are first quality controlled by extensive techniques that help eliminate degraded measurements. The evaluation results reveal that the CFSv2 wind vectors are most consistent with the buoy winds(with average biases of 0.01 m/s and 1.76°). The ERA-I winds significantly underestimate the buoy wind speed(with an average bias of –1.57 m/s), while the statistical errors in the NCEP-2 wind direction have the largest magnitude. The diagnosis of the reanalysis wind errors shows the residuals of all three reanalysis wind speeds(reanalysis-buoy) decrease with increasing buoy wind speed, suggesting a narrower wind speed range than that of the observations. Moreover, wind direction errors are examined to depend on the magnitude of the wind speed and the wind speed biases. In general, the evaluation of three reanalysis wind products demonstrates that CFSv2 wind vectors are the closest to the winds along the north coast of the SCS and are sufficiently accurate to be used in numerical models. 相似文献