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1.
1997年冬季南海南部海区不同天气过程下的湍流通量输送   总被引:9,自引:0,他引:9  
利用“九五”南沙群岛及其邻近海区综合科学考察 1 997年 1 1月 3— 2 6日期间的走航和定点连续观测获得的大气和海洋资料 ,探讨了调查海区的气象特征 ;使用考虑风速和大气稳定性影响并经高度订正的整体通量输送动力学公式 ,计算了动量、感热和潜热的湍流通量。结果表明 ,与其它天气过程相比 ,降水过程期间无论是大气向海洋输送的动量通量 ,还是海洋向大气输送的感热和潜热通量 ,其值都是最大的。  相似文献   

2.
史剑  闻斌  王凯 《海洋预报》2007,24(2):74-82
通过与浮标观测资料的对比分析,指出NCEP动量通量、再计算NCEP热通量更能够代表NCEP再分析数据库的数值模拟效果。当风速大于20m/s时,数值模拟的湍通量低于浮标块体湍通量,当风速在10~20m/s时,数值模拟的湍通量高于浮标块体湍通量。同时还发现数值模拟结果的延迟现象,以及不能反映大风过后快速的海气温差变化而引起的感热通量变化。  相似文献   

3.
1997年冬季南海南部海区不同天气过程下的湍汉通量输送   总被引:3,自引:0,他引:3  
利用“九五”南沙群岛及其邻近海区综合科学考察1997年11月3-26日期间的走航和定点连续观测获得的大气和海洋资料,探讨了调查海区的气象特征;使用考虑风速和大气稳定笥影响并经高度订正的整体通量输送动力学公式,计算了动量、感热和潜热的湍流通量。结果表明,与其它天气过程相比,降水过程期间无论是大气向海洋输送的动量通量,还是海洋向大气输送的感热通量,其值都是最大的。  相似文献   

4.
本文以2006年9月日本以南海域的台风YAGI为例,应用黑潮延伸体附近的KEO浮标观测资料,并结合卫星遥感等融合资料,分析海洋飞沫在台风不同发展阶段对海气界面间热量通量和动量通量的影响。首先,定量地分析台风期间海洋飞沫对海气热通量的影响。结果表明,在台风YAGI过境期间,海洋飞沫能够显著地加剧海气界面间的热量交换,尤其是潜热交换。海洋飞沫增加的热通量随着风速的增强而增大,随着波龄的增大而减小。随后,通过动量分析表明,在台风YAGI过境期间,海洋飞沫显著地增强了由大气向海洋的动量转移。当风速达到台风量级后,考虑海洋飞沫所增加的动量通量与界面动量通量大小相当,同时,在此风速条件下,海洋飞沫在海气界面形成极限饱和悬浮层,抑制风到海表面的动量转移,导致海气界面间总的动量通量的增长率随之减小。  相似文献   

5.
COARE算法估算海气界面热通量的个例对比分析   总被引:1,自引:1,他引:1  
本文先对NCEP分析风、QSCAT/NCEP混合风、MM5中尺度模式分析风场进行了比对分析,发现具有高分辨率的QSCAT/NCEP混合风资料给出的高风速数值较好,但给出的高风速开始时间相对较早;NCEP分析风资料给出的高风速数值明显偏小;MM5分析风场较为可信,只不过模拟的高风速数值还是相对偏小.使用COARE算法(版本3.0)计算了四种资料情况下的渤、黄海海域一次冷空气大风过程的海表面湍流热通量,并与MM5诊断分析结果进行了对比分析.结果发现相同资料情况下,MM5结果跟COARE算法所算海气热通量(包括感热和潜热)在区域分布和时间变化规律上均较为一致,中、低风速情况下,结果比较接近;但是高风速情况下两者差异显著.  相似文献   

6.
本文用中美海气联合考察3个航次的常规观测资料,分析了西太平洋赤道附近洋面上的边界层特性,平均情况下,ΔT(=T_(10)-T_s)小于-2℃,Δe(=e_(10)-e_s)近于-10hPa,近海面层的温度层结基本上呈现为不稳定层结.用层结订正后的整体输送系数方法,计算了动量通量,感热和潜热通量.在西太平洋10°N—10°S海面上,波纹比β小于0.1,潜热通量远大于感热通量,感热和潜热通量主要是从海面向大气输送.  相似文献   

7.
西太平洋暖池区海—气通量计算分析   总被引:4,自引:0,他引:4  
用J.Launiaimen和T.Vihma提出的近地面层湍流通量计算方法,对我国在1992年11月至1993年2月TOGA—COARE—IOP实验中所获资料计算处理。得出所在站位的海一气间显效、潜热及动量通量。指出西大平洋暖池海区游热通量与显效通量之比为10.14:1;风速大于8m/s后各通量随风速的变化率明显增加;动量与热量的块体通量系数Cd和Ce,h随风速变化有相似的规律;Monin—Obukhov大气稳定度参数Z/L与△T/U_(10)之间有较好的统计关系。  相似文献   

8.
本文利用2006年3~5月珠江口的海气热通量观测资料,结合NCEP再分析资料,分析了块体动力学在不同天气系统影响下计算海气热通量的特点,以及相对较准确的涡旋相关法的相对误差估计。结果表明,在海面为相对低压控制区域时,块体动力学计算的通量异常偏低,相对误差约为潜热通量95.8%;感热通量205.8%;在高压控制下,计算有所高估,相对误差约为潜热通量275.6%;感热通量156%。因此,利用块体法计算海气通量时,应注意根据不同天气系统特点对块体通量系数进行调整。  相似文献   

9.
2008年南海季风爆发前后西沙海域海气通量变化特征   总被引:3,自引:1,他引:3  
基于2008年4至5月在南海西沙永兴岛进行的海气通量观测试验资料和NCEP资料,应用COARE3.0通量算法计算了海气通量,分析了季风爆发前后西沙海域天气变化特点和海气通量对南海季风爆发的响应。结果表明:2008年南海季风首先于5月第1候在南海南部爆发,受热带气旋等因素的影响,北部海区季风爆发推迟到5月18日。季风爆发和热带气旋活动对西沙海域的风速和海气通量影响较大,其中热带气旋的影响更强烈。热带气旋来临之前,潜热通量、感热通量以及动量通量均较小;在气旋活动及此后的季风爆发时期,大风使潜热通量和动量通量显著增强,感热通量则在降水期间变化明显;动量通量的最大值出现在热带气旋活动期间,其在此过程中的均值是观测初期均值的3倍以上。在整个观测过程中,潜热通量明显大于感热通量,后者是前者的16∶1。不同类型天气过程中,潜热通量的日变化相似,而感热通量的日变化有差异。湍流交换系数与风速有较好的相关关系。  相似文献   

10.
用2006年夏~2007年秋在北部湾获得的船测气象资料,由块体公式计算了海-气通量.结果表明:北部湾春、夏季节获得热通量,而秋、冬季节失去热通量.春季通过湍流交换造成的热通量对海面热平衡的贡献最小,其次是夏季、冬季和秋季.在年平均尺度上感热通量和潜热通量分别占净辐射通量的7.4%和77.4%,15.2%的净辐射热量通过海洋过程消耗掉.感热通量随海-气温差的加大而增大,而与风速之间呈现复杂的非线性关系.海-气温差增加1 ℃,感热通量增加6.7~12.7 W/m2;较大的感热通量(>30 W/m2)容易出现在5~10 m/s风速条件下.潜热通量与风速和相对湿度呈明显的相关关系:风速增加1 m/s,潜热通量增加约18 W/m2,而相对湿度下降1%会导致6 W/m2潜热通量的增加.  相似文献   

11.
NCEP再分析资料和浮标观测资料计算海气热通量的比较   总被引:1,自引:0,他引:1  
黄艳松  宋金宝 《海洋科学》2011,35(12):113-120
对来自于美国国家环境预报中心公布的NCEP1、NCEP2 再分析资料和来自于定点布放在黄海北部的浮标观测资料进行了比较和分析。结果是: NCEP 再分析资料中的海表气象参数(风速、湿度、气温、海表温度)是可信的。在统计意义上, NCEP2 给出的海表气象参数比NCEP1 与浮标观测值更接近,而净辐射通量则是NCEP1 ...  相似文献   

12.
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   

13.
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   

14.
海-气界面热通量算法的研究及在中国近海的应用   总被引:7,自引:0,他引:7  
对计算海-气界面湍流热通量的Bulk算法的一些参数进行了改进。使用西沙实测资料、GSSTF2资料和NCEP/NCAR再分析资料以及改进后的算法,计算了中国近海地区的感热通量、潜热通量。计算结果与西沙实测资料、长年代的GSSTF2资料和NCEP/NCAR再分析资料进行比较验证,证明改进后的方法精度较高,基本可以保证湍流热通量的平均标准偏差在10W/m2左右,与多年的月平均做比较,相对偏差为25%左右;同时,不仅首次将计算热通量的空间尺度精确到0·1°×0·1°,而且基本模拟出了南海季风暴发期间热通量变化的主要特点以及中国近海热通量随季节、纬度和海岸地形的变化特征。  相似文献   

15.
南海西南季风期NCEP2湍流热通量的质量分析   总被引:3,自引:2,他引:3  
以5次南海现场观测试验数据(Xisha2002,Xisha2000,Xisha1998,Kexue 1和Shiyan 3)为参照,对NCEP2再分析资料中湍流热通量在南海西南季风期的精度进行了评估.结果表明NCEP2估算的潜热通量的平均值在试验Xisha2000,Xisha1998,Kexue 1和Shiyan 3期间分别高估了6(11%),2(2%),7(7%)和13W/m2(16%),而在Xisha2002试验中低估了10 W/m2(11%).在5个试验中低估的感热通量分别为7(130%),3(64%),7(170%),5(53%)和5 W/m2(72%).NCEP2与5个现场观测试验的时间序列的相关系数均没有达到95%的置信度.模式中湍流热通量损失的误差来源于基本变量和算法,基本变量中以海表温度和海面风速的误差产生的影响最大.应用COARE2.6a算法和NCEP2的基本变量重新计算的湍流热通量更加符合物理意义.  相似文献   

16.
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   

17.
A motion correction on direct estimations of air-sea fluxes from a buoy   总被引:1,自引:1,他引:0  
A flux system deployed on a moored buoy has been described, which is capable of directly estimating the airsea fluxes after removing the contamination in the signal due to buoy motion. A triple loop fitting method has been demonstrated for determining the three angular offsets between measurement axes of the sonic anemometer and motion pack. The data collected in an experiment in the Northern Huanghai Sea is used to correct the three sonic anemometer measurements of turbulent wind for buoy motion. The effective removal of wave-scale motion from the spectra and cospectra are demonstrated. Estimates of along-wind momentum flux, sensible heat flux and latent heat flux calculated by the eddy correlation method based on data obtained by sonic anemometer 81000V are shown to be in the same trend and scale with those determined by the bulk aerodynamic method after motion correction. The motion correction not only greatly improve the estimation of the momentum flux but also has a great impact on the calculated sensible heat flux.  相似文献   

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