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1.
The results of the tropical Pacific response to the sudden onset of the equatorial wind stress anomalies are discussed. The ocean model is a barotropic, non-linearized one that includes reduced-gravity and an equation for the temperature of the ocean mixed-layer. The experiments are based on a state of equilibrium reached through a long running under the action of annual mean wind stress. There are two kinds of westward wind intensity regions: the whole tropical Pacific and the western tropical Pacific, which are all between latitude 6. 8癗 and 6. 8癝.In these cases, the results show that the positive sea surface temperature (SST) anomalies in the Eastern Pacific and the negative SST anomalies in the Western Pacific are produced, and the positive SST anomalies propagate eastward, just as those observed during the actual El Nino phenomena. The propagations of the Kelvin waves and Rossby waves in the ocean are discussed.Another experiment is also carried out in simulating the process of the decay of El Ni 相似文献
2.
How does the Indian Ocean subtropical dipole trigger the tropical Indian Ocean dipole via the Mascarene high？ 总被引：1，自引：0，他引：1
The variation in the Indian Ocean is investigated using Hadley center sea surface temperature(SST)data during the period 1958–2010.All the first empirical orthogonal function(EOF)modes of the SST anomalies(SSTA)in different domains represent the basin-wide warming and are closely related to the Pacific El Ni o–Southern Oscillation(ENSO)phenomenon.Further examination suggests that the impact of ENSO on the tropical Indian Ocean is stronger than that on the southern Indian Ocean.The second EOF modes in different domains show different features.It shows a clear east-west SSTA dipole pattern in the tropical Indian Ocean(Indian Ocean dipole,IOD),and a southwest-northeast SSTA dipole in the southern Indian Ocean(Indian Ocean subtropical dipole,IOSD).It is further revealed that the IOSD is also the main structure of the second EOF mode on the whole basin-scale,in which the IOD pattern does not appear.A correlation analysis indicates that an IOSD event observed during the austral summer is highly correlated to the IOD event peaking about 9 months later.One of the possible physical mechanisms underlying this highly significant statistical relationship is proposed.The IOSD and the IOD can occur in sequence with the help of the Mascarene high.The SSTA in the southwestern Indian Ocean persists for several seasons after the mature phase of the IOSD event,likely due to the positive wind–evaporation–SST feedback mechanism.The Mascarene high will be weakened or intensified by this SSTA,which can affect the atmosphere in the tropical region by teleconnection.The pressure gradient between the Mascarene high and the monsoon trough in the tropical Indian Ocean increases(decreases).Hence,an anticyclone(cyclone)circulation appears over the Arabian Sea-India continent.The easterly or westerly anomalies appear in the equatorial Indian Ocean,inducing the onset stage of the IOD.This study shows that the SSTA associated with the IOSD can lead to the onset of IOD with the aid of atmosphere circulation and also explains why some IOD events in the tropical tend to be followed by IOSD in the southern Indian Ocean. 相似文献
3.
This paper proposes a rain considered geophysical model function (GMF), to be noted as GMF plus Rain. GMF plus Rain is based on the basic raidative transfer model with attenuation and scattering effects of rain on radar signal considered. Combined with the NSCAT2 GMF and the rain correction model, the GMF plus Rain model is used to retrieve the ocean wind vectors from the collocated QuikSCAT and SSM/I rain rate data for typhoon Melor. The resulting wind speed estimates of typhoon Melor show improved agreement with the wind fields derived from the best track analysis of Japan Meteorological Agency (JMA). The results imply that compared with the GMF model, the GMF plus Rain model can improve the precision of wind retrieval under the rain condition. Then, a new general algorithm of locating the eye of typhoon through the normalized radar cross section (NRCS) is proposed. The implementation of this algorithm in the ten QuikSCAT observations of typhoon Melor suggests that this algorithm is effective. 相似文献
4.
基于浮标实测数据的WindSat海洋反演产品精度分析 总被引：1，自引：1，他引：0
To evaluate the ocean surface wind vector and the sea surface temperature obtained from Wind Sat, we compare these quantities over the time period from January 2004 to December 2013 with moored buoy measurements. The mean bias between the Wind Sat wind speed and the buoy wind speed is low for the low frequency wind speed product(WSPD_LF), ranging from –0.07 to 0.08 m/s in different selected areas. The overall RMS error is 0.98 m/s for WSPD_LF, ranging from 0.82 to 1.16 m/s in different selected regions. The wind speed retrieval result in the tropical Ocean is better than that of the coastal and offshore waters of the United States. In addition, the wind speed retrieval accuracy of WSPD_LF is better than that of the medium frequency wind speed product. The crosstalk analysis indicates that the Wind Sat wind speed retrieval contains some cross influences from the other geophysical parameters, such as sea surface temperature, water vapor and cloud liquid water. The mean bias between the Wind Sat wind direction and the buoy wind direction ranges from –0.46° to 1.19° in different selected regions. The overall RMS error is 19.59° when the wind speed is greater than 6 m/s. Measurements of the tropical ocean region have a better accuracy than those of the US west and east coasts. Very good agreement is obtained between sea surface temperatures of Wind Sat and buoy measurements in the tropical Pacific Ocean; the overall RMS error is only 0.36°C, and the retrieval accuracy of the low latitudes is better than that of the middle and high latitudes. 相似文献
5.
QIN Bangyong ZHOU Xuan ZHANG Honglei YANG Xiaofeng LU Rong YU Yang SHI Lijian 《海洋学报(英文版)》2014,33(7):83-88
Rain effect and lack of in situ validation data are two main causes of tropical cyclone wind retrieval errors. The National Oceanic and Atmospheric Administration＇s Climate Prediction Center Morphing technique （CMORPH） rain rate is introduced to a match-up dataset and then put into a rain correction model to remove rain effects on ＂Jason-1＂ normalized radar cross section （NRCS）; Hurricane Research Division （HRD） wind sPeed, which integrates all available surface weather observations, is used to substitute in situ data for establishing this relationship with ＂Jason-l＂ NRCS. Then, an improved ＂Jason-l＂ wind retrieval algorithm under tropical cyclone conditions is proposed. Seven tropical cyclones from 2003 to 2010 are studied to validate the new algorithm. The experimental results indicate that the standard deviation of this algorithm at C-band and Ku-band is 1.99 and 2.75 m/s respectively, which is better than the existing algorithms. In addition, the C-band algorithm is more suitable for sea surface wind retrieval than Ku-band under tropical cyclone conditions. 相似文献
6.
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
7.
The mean seasonal variability of turbulent heat fluxes in the tropical Atlantic Ocean is examined using the Woods Hole Oceanographic Institution(WHOI) flux product.The most turbulent heat fluxes occur during winter seasons in the two hemispheres,whose centers are located at 10°~20°N and 5°～15°S respectively.In climatological ITCZ,the turbulent heat fluxes are the greatest from June to August,and in equatorial cold tongue the turbulent heat fluxes are the greatest from March to May.Seasonal variability of sensible heat flux is smaller than that of latent heat flux and mainly is dominated by the variations of air-sea temperature difference.In the region with larger climatological mean wind speed(air-sea humidity difference),the variations of air-sea humidity difference(wind speed) dominate the variability of latent heat flux.The characteristics of turbulent heat flux yielded from theory analysis and WHOI dataset is consistent in physics which turns out that WHOI's flux data are pretty reliable in the tropical Atlantic Ocean. 相似文献
8.
Interannual variations of the air-sea CO 2 exchange from 1965 to 2000 in the Pacific Ocean are studied with a Pacific Ocean model.Two numerical experiments are performed,including the control run that is forced by climatological monthly mean physical data and the climate-change run that is forced by interannually varying monthly mean physical data.Climatological monthly winds are used in both runs to calculate the coefficient of air-sea CO 2 exchange.The analysis through the differences between the two runs shows that in the tropical Pacific the variation of export production induced by interannual variations of the physical fields is negatively correlated with that of the air-sea CO 2 flux,while there is no correlation or a weak positive correlation in the subtropical North and South Pacific.It indicates that the variation of the physical fields can modulate the variation of the air-sea CO 2 flux in converse ways in the tropical Pacific by changing the direct transport and biochemical process.Under the interannually varying monthly mean forcing,the simulated EOF1 of the air-sea CO 2 flux is basically consistent with that of sea surface temperature(SST) in the tropical Pacific,but contrary in the two subtropical Pacific Ocean.The correlation coefficient between the regionally integrated air-sea CO 2 flux and area-mean SST shows that when the air-sea CO 2 flux lags SST by about 5 months,the positive coefficient in the three regions is largest,indicating that in the tropical Pacific or on the longer time scale in the three regions,physical processes control the flux-SST relationship. 相似文献
9.
Variations of monsoon wind field in the sea area along the southeastern coast of China during the ENSO events and its influence on the sea level and sea surface temperature (SST) are explored mainly on the basis of the data of monthly mean wind at 850 hPa and five coastal stations during 1973-1987. The results from the analyses of the data and theoretical estimation show that the southwest wind anomalies appeared in the study area during the events, and northeast wind anomalies occurred in general before the events. With the coastline of the area being parallel basically to the direction of the wind, an Ekman transport will result in an accumulation of the water near the coast or a departure of the water from the coast. As a result , the sea level and SST there will be affected markedly. During the events, southwest wind will intensify in the summer, and northeast wind will weaken in the winter. Their total effect is that a large negative anomaly of the sea level and SST will occur. The estimations indi 相似文献
10.
Using data of wind speed, air temperature and humidity recorded simultaneously on board and the on the small buoy, the latter is considered as criterion, the paper has discussed the influence of the body of ship on the meteorological data. Owing to the disturbance and the influence of heat radiation from the body of ship, the temperature observed on board is higher by about 2癈 than on buoy, and the relative humidity lower by 10%, wind speed observed on the mast is not only irregular but is less than that on the buoy, the error of which would be 3 m/s. The paper therefore suggests that the data observed on the deck in daytime, especially in fair weather after midday, is less reliable. The reliability of data decreases simultaneously with the increase of the body of ship in size.In addition, this paper also proposes that more reasonable observing points chosen on board should be the key to obtain reliable data. By analysis, it is believed that the meteorological data observed on ship's bow or upwind outs 相似文献
11.
基于QuikSCAT卫星遥感风场的台风最大风速半径反演及个例分析 总被引：1，自引：0，他引：1
建立了一种卫星遥感风场的最大风速半径(Rmax )反演方法.该方法基于 QuikSCAT 风场,结合 JTWC 台风参数资料,将遥感平均风剖面与 Holland 台风模型进行最小二乘法拟合来反演 Rmax.2001-2009年13个台风69幅数据反演结果统计分析表明:用气压表征台风强度的 P 算法遥感反演结果与 JTWC 分析结果的标准差为10.7 km,效果较好.此外,通过0513、0519和0221 3个典型台风过程的 Rmax 演变情况分析表明:对于对称性结构较好的成熟台风,反演结果能较好地反映出不同台风的 Rmax 尺寸差别,台风过程中 Rmax 的演变情况符合台风发展情况;台风风场对称性差、地形以及背景流场的影响,是导致 Rmax 反演出现较大偏差主要因素. 相似文献
12.
利用日本气象厅"best track data"热带气旋数据、QuikSCAT(Quick Scatterometer)卫星风场数据和SCUD(Surface Currents from a Diagnostic model)表层流场数据,估算了热带气旋对南海表层流和波浪的能量输入。结果显示,由于热带气旋基本都位于南海中北部,热带气旋对表层流和波浪的能量输入也集中在南海中北部;能量输入最大的月份均在8月和11月,而在9月对总能量输入贡献最大。5～12月,热带气旋对南海表层流的能量输入为1.26GW,占风对表层流总能量输入的9.87%;热带气旋对表层波浪的能量输入为11.60GW,占风对表层波浪总能量输入的5.42%。如果只考虑10°N以北区域,则热带气旋对表层流和波浪能量输入的贡献分别达到11.29%和6.87%。 相似文献
13.
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
14.
北黄海QuikSCAT 卫星风速与浮标风速的对比分析 总被引：1，自引：0，他引：1
对北黄海QuikSCAT散射计矢量风资料与黄海实测浮标站风速资料进行对比分析,结果表明:北黄海QuikSCAT卫星风速和浮标观测风速的大小基本吻合,二者平均偏差是0.26 m/s,相关系数是0.74;风向偏差较大,平均偏差是117.52°。根据卫星风速和浮标风速的对比分析结果,提出了修正方案。修正后的QuikSCAT风向与实测浮标站风向的平均偏差显著提高到20.44°。该修正方案实施简单,修正效果显著,为更准确地使用卫星资料提供了保证。 相似文献
15.
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
16.
2008年冬季台湾海峡及其邻近海域QuikSCAT卫星遥感风场的检验及应用分析 总被引：2，自引：0，他引：2
采用布放在台湾海峡及其邻近海域的2个浮标对2008年冬季（2008年12月至2009年2月）QuikSCAT卫星遥感观测的风场资料进行了检验.结果表明,这两者风速的相关系数为0.93,平均偏差为-0.03 m/s,均方根误差为1.10 m/s,平均绝对误差为1.54 m/s;风向平均偏差为-9.53°,均方根误差为22.83°,平均绝对误差为33.84.°这表明QuikSCAT卫星遥感风场资料在台湾海峡及其邻近海域冬季风观测中具有很高的适用性.本文利用2008年冬季QuikSCAT卫星遥感的平均风速场,分析了在＂狭管效应＂影响下台湾海峡及其邻近海域的风速特征.结果显示其平均风速具有3个基本特征：（1）台湾海峡中部存在着明显高于附近其他海域的高风速区,平均风速高出1~4m/s,风速高值区更贴近海峡东岸.（2）台湾海峡南部平均风速大于北部.（3）台湾岛东北角和西南角各有一个风速低值区.结合对2009年2月15~18日一次冷空气大风过程的分析发现,风速越大台湾海峡＂狭管效应＂越明显. 相似文献
17.
18.
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