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1.
南黄海海气热通量观测及其与OAflux数据集比较研究   总被引:1,自引:0,他引:1       下载免费PDF全文
2007年在南黄海进行了3个航次的热通量观测,包括长、短波辐射,近海表空气温度、湿度,风速,海表皮温等观测数据。依据计算的冬季、春季、秋季三个航次的海气热通量分析了热通量不同季节特征,南黄海海域冬季、春季和秋季平均潜热通量分别为80.7W/m2,5.6W/m2和142.1W/m2,感热通量分别为32.0W/m2,-12.5W/m2和18.9W/m2(海洋向大气传递为正)。将国际较为通用的OAflux数据集与3个季节观测数据做了逐点的比对,作为对OAflux数据集在南黄海海域的评估,结果显示:OAflux数据集热通量结果与观测数据在2006—2007年冬季最为接近,感热和潜热通量均方差是15.3W/m2和21.4W/m2。春季的潜热通量存在明显偏差,均方差为28.4W/m2。秋季的感热和潜热通量均存在显著偏差,均方差分别为20.5W/m2和57.5W/m2。导致春季偏差的主要原因是OAflux数据集和现场观测的近海表空气湿度差异,而秋季偏差则应主要归因于海表温度的偏差。  相似文献   

2.
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   

3.
潜热是大气能量的重要来源,海气界面潜热通量对于海气相互作用的研究具有重要意义。本文比较了1996—2005年J-OFURO2、HOAPS3、GSSTF3、OAFLUX、NCEP/NCAR再分析资料5种产品,研究结果表明5种月平均潜热通量产品基本一致,其中J-OFURO2、HOAPS3、GSSTF3较为接近,OAFLUX与NCEP/NCAR较为接近。比较不同的月平均潜热通量产品的统计特征,均方根误差最小的是GSSTF3与HOAPS3(14.08W/m~2),最大的是GSSTF3与NCEP/NCAR(25.98W/m~2),相关系数最小的是HOAPS3与NCEP/NCAR(0.87)、GSSTF3与OAFLUX(0.87)、最大的是GSSTF3与HOAPS3(0.97),5种潜热通量产品多年平均的纬向分布虽然基本相似但仍然存在差异,基于遥感数据的3种产品与OAFLUX、NCEP/NCAR再分析资料之间较大差值主要分布在太平洋和大西洋赤道区域、西北太平洋、印度洋北部。  相似文献   

4.
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   

5.
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   

6.
海气热通量算法的改进及应用   总被引:1,自引:0,他引:1  
COARE模型是国际上常用的计算海气热通量的算法,其风速适用范围可达20m/s,但未包含飞沫等高风速下的影响因子,将其直接扩展到20m/s以上风速的海况存在不合理性。本文提出了适合各种风速条件下的包含飞沫影响的海面动力粗糙度长度参数化方案,并利用该方案改进了COARE 3.0模型。利用南海浮标的观测数据,根据改进的COARE 3.0模型计算了海气热通量,分析了飞沫对海气热通量的影响。结果表明,在0~20m/s风速范围内,感热通量与潜热通量主要由海气温差和海气湿差决定,与波龄的相关性很小,飞沫对热通量无显著影响。当风速大于20m/s,感热通量和潜热通量与海气温差和海气湿差的相关性减小,与波龄的相关性增加,潜热通量与波龄呈现负相关。考虑飞沫的效应后,总热通量明显增加,飞沫所增加的感热通量平均可占界面感热通量的38.89%,飞沫所增加的潜热通量平均占界面潜热通量的39.19%。  相似文献   

7.
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   

8.
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   

9.
本文对极区通量观测系统作了介绍,在国际极地年(IPY)全球协同观测中,极区通量观测系统在南极中山站进行了连续14个月的观测。结果表明,中山站年净辐射通量为12.9 W/m2。感热通量夏半年(10~2月)为正值,冬半年(3~9月)为负值,年平均1.9 W/m2。潜热通量全年都为正值,年平均11.2 W/m2。总体而言,地表通过净辐射获得热能,又通过感热和潜热方式向大气输送。观测得到的CO2通量全为负值,年平均为-0.031 mg/m2,表明南极中山站是CO2汇。  相似文献   

10.
本文应用高风速条件下海面动力粗糙度长度,拓展了COARE3.0块体通量算法,考虑高风速下,海洋飞沫对热通量的贡献。利用GSSTF3(Goddard Satellite-based Surface Turbulent Fluxes Version 3)遥感产品、GSSTF_NCEP(National Centers Environmental Prediction)再分析资料和浮标KEO实测数据,探讨了中国南海台风LEO和西北太平洋台风SOULIK期间湍流热通量的变化。研究结果表明:感热通量与潜热通量相比很小;台风的轨迹与潜热通量的分布密切相关且在台风轨迹的东偏北区域潜热通量数值大;在热带低压之前,原潜热通量与改进后潜热通量的差值即飞沫热通量很小,随着台风等级的增加,飞沫热通量也增加。当台风LEO达到最高即台风级别时原潜热通量达到300W/m2,飞沫热通量与原通量的比值高达12%,而台风SOULIK达到强台风级别时原潜热通量达到1000W/m2,飞沫热通量与原通量的比值达到20%,显著高于台风LEO,飞沫效应更明显。  相似文献   

11.
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   

12.
This study quantifies uncertainties in closing the seasonal cycle of diabatic heat storage (DHS) over the Pacific Ocean from 20°S to 60°N through the synthesis of World Ocean Circulation Experiment (WOCE) reanalysis products from 1993 to 1999. These products are DHS from Scripps Institution of Oceanography (SIO); near-surface geostrophic and Ekman currents from Earth and Space Research (ESR); and air-sea heat fluxes from Comprehensive Ocean-Atmosphere Data Set (COADS), National Centers for Environmental Prediction (NCEP), and European Center for Mid-Range Weather Forecasts (ECMWF). With these products, we compute residual heat budget components by differencing long-term monthly means from the long-term annual mean. This allows the seasonal cycle of the DHS tendency to be modeled. Everywhere latent heat flux residuals dominate sensible heat flux residuals, shortwave heat flux residuals dominate longwave heat flux residuals, and residual Ekman heat advection dominates residual geostrophic heat advection, with residual dissipation significant only in the Kuroshio-Oyashio current extension. The root-mean-square (RMS) of the differences between observed and model residual DHS tendencies (averaged over 10° latitude-by-20° longitude boxes) is <20 W m−2 in the interior ocean and <100 W m−2 in the Kuroshio-Oyashio current extension. This reveals that the residual DHS tendency is driven everywhere by some mix of residual latent heat flux, shortwave heat flux, and Ekman heat advection. Suppressing bias errors in residual air-sea turbulent heat fluxes and Ekman heat advection through minimization of the RMS differences reduces the latter to <10 W m−2 over the interior ocean and <25 W m−2 in the Kuroshio-Oyashio current extension. This reveals air-sea temperature and specific humidity differences from in situ surface marine weather observations to be a principal source of bias error, overestimated over most of ocean but underestimated near the Intertropical Convergence Zone.  相似文献   

13.
We selected surface flux datasets to investigate the heat fluxes during “hot events”; (HEs), defined as short-term, large-scale phenomena involving very high sea surface temperature (SST). Validation of the heat fluxes against in-situ ones, which are estimated from in-situ observation in HE sampling conditions, shows the accuracies (bias ± RMS error) of net shortwave radiation, net long wave radiation, latent heat and sensible heat fluxes are 20 ± 45.0 W m−2, −9 ± 12.3 W m−2, −2.3 ± 31.5 W m−2 and 1.5 ± 5.0 W m−2, respectively. Statistical analyses of HEs show that, during these events, net solar radiation remains high and then decreases from 246 to 220 W m−2, while latent heat is low and then increases from 100 W m−2 to 124 W m−2. Histogram peaks indicate net solar radiation of 270 W m−2 and latent heat flux of 90 W m−2 during HEs. Further, HEs are shown to evolve in three phases: formation, mature, and ending phases. Mean heat gain (HG) in the HE formation phase of 60 W m−2 is larger than the reasonably estimated annual mean HG range of 0–25 W m−2 in the Indo-Pacific Warm Pool. Such large daily HG in the HE formation phase can be expected to increase SSTs and produce large amplitudes of diurnal SST variations during HEs, which have been observed by both satellite and in-situ measurements in our previous studies.  相似文献   

14.
Air–sea exchange plays a vital role in the development and maintenance of tropical cyclones(TCs). Although studies have suggested the dependence of air–sea fluxes on surface waves and sea spray, how these processes modify those fluxes under TC conditions have not been sufficiently investigated based on in-situ observations.Using continuous meteorological and surface wave data from a moored buoy in the northern South China Sea,this study examines the effects of surface waves and sea spray on air–sea fluxes during the passage of Typhoon Hagupit. The mooring was within about 40 km of the center of Hagupit. Surface waves could increase momentum flux to the ocean by about 15%, and sea spray enhanced both sensible and latent heat fluxes to the atmosphere,causing Hagupit to absorb 500 W/m~2 more heat flux from the ocean. These results have powerful implications for understanding TC–ocean interaction and improving TC intensity forecasting.  相似文献   

15.
2016年8月7-14日中国第七次北极科学考察期间,在83°N附近设立的长期浮冰站开展了辐射和湍流通量观测研究。结果表明,观测期间反照率变化范围为0.64~0.92,平均反照率为0.78;基于现场观测数据评估了PW79、HIRHAM、ARCSYM和CCSM3 4种不同复杂度的反照率参数化方案在天气尺度的表现,最为复杂的CCSM3结果优于其他参数化方案,但不能体现降雪条件下的反照率快速增长。浮冰区冰雪面平均净辐射为18.10 W/m2,平均感热通量为1.73 W/m2,平均潜热通量为5.55 W/m2,海冰表面消融率为(0.30±0.22) cm/d,表明此时北冰洋浮冰正处于快速消融期。冰面的平均动量通量为0.098(kg·m/s)/(m2·s),动量通量与风速有很好的对应关系,相关系数达0.80。  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.
With the data observed from the Second SCS Air-Sea Flux Experiment on the Xisha air-sea flux research tower, the radiation budget, latent, sensible heat fluxes and net oceanic heat budgets were caculated before and after summer monsoon onset. It is discovered that, after summer monsoon onset, there are considerable changes in air-sea fluxes, especially in latent heat fluxes and net oceanic heat budget. Furthermore, the analyzed results of five synoptic stages are compared. And the characteristics of the flux transfer during different stages around onset of South China Sea monsoon are discussed. The flux change shows that there is an oceanic heat accumulating process during the pre-onset and the break period, as same as oceanic heat losing process during the onset period. Moreover, latent fluxes, the water vapor moving to the continent, even the rainfall appearance in Chinese Mainland also can be influenced by southwester. Comparing Xisha fluxes with those obtained from the Indian Ocean and the western Pacific Ocean, their differences may be obeerved. It is the reason why SSTs can keep stableover the South China Sea while they decrease quickly over the Arabian Sea and the Bay of Bengal aftermonsoon onset.  相似文献   

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