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1.
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   

2.
Latent and sensible heat fluxes based on observations from a Black Pearl wave glider were estimated along the main stream of the Kuroshio Current from the East China Sea to the east coast of Japan, from December 2018 to January 2019. It is found that the data obtained by the wave glider were comparable to the sea surface temperature data from the Operational Sea Surface Temperature and Sea Ice Analysis and the wind field data from WindSat. The Coupled Ocean Atmosphere Response Experiment 3.0 (COARE 3.0) algorithm was used to calculate the change in air-sea turbulent heat flux along the Kuroshio. The averaged latent heat flux (LHF) and sensible heat flux (SHF) were 235 W/m2 and 134 W/m2, respectively, and the values in the Kuroshio were significant larger than those in the East China Sea. The LHF and SHF obtained from Objectively Analyzed Air-Sea Fluxes for the Global Oceans (OAFlux) were closer to those measured by the wave glider than those obtained from National Centers for Environmental Prediction (NCEP) reanalysis products. The maximum deviation occurred in the East China Sea and the recirculation zone of the Kuroshio (deviation of SHF >200 W/m2; deviation of LHF >400 W/m2). This indicates that the NCEP and OAFlux products have large biases in areas with complex circulation. The wave glider has great potential to observe air-sea heat fluxes with a complex circulation structure.  相似文献   

3.
西北太平洋海气界面热通量时空分布特征研究   总被引:2,自引:0,他引:2       下载免费PDF全文
翟方国 《海洋科学》2009,33(7):37-42
基于第三版本HOAPs (Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data)海表面温度、潜热通量、感热通量、海表面空气比湿以及海表面风场5个参量的18 a(1988~2005年)逐月平均资料,利用经验正交函数和奇异值分解方法分析了异常潜热和感热通量场在西北太平洋的时空分布特征及造成这种分布的主要影响因素.EOF的分析结果表明,异常潜热通量场主要体现为第一第二两个模态的变化,第一模态显示整个海域呈同相变化且在时间上呈准年周期变化,第二模态则描述了分别位于10°N,25°N和40°N的3个极值中心并伴随多年振荡,由因子载荷分布可知热带太平洋是第二模态的行为中心,因此该模态可能与ENSO事件相关.异常感热通量场则主要表现为第一模态的变化,在时间上呈准年周期变化并伴随有多年时间尺度的振荡.奇异值分解方法的分析结果表明异常海表面风场是异常潜热和感热通量场时空变化的重要影响因素.  相似文献   

4.
Long term in situ atmospheric observation of the landfast ice nearby Zhongshan Station in the Prydz Bay was performed from April to November 2016. The in situ observation, including the conventional meteorological elements and turbulent flux, enabled this study to evaluate the sea ice surface energy budget process. Using in situ observations, three different reanalysis datasets from the European Centre for Medium-Range Weather Forecasts Interim Re-analysis(ERA-Interim), National Centers for Environmental Prediction Reanalysis2(NCEP R2), and Japanese 55-year Reanalysis(JRA55), and the Los Alamos sea ice model, CICE, output for surface fluxes were evaluated. The observed sensible heat flux(SH) and net longwave radiation showed seasonal variation with increasing temperature. Air temperature rose from the middle of October as the solar elevation angle increased.The ice surface lost more energy by outgoing longwave radiation as temperature increased, while the shortwave radiation showed obvious increases from the middle of October. The oceanic heat flux demonstrated seasonal variation and decreased with time, where the average values were 21 W/m~2 and 11 W/m~2, before and after August,respectively. The comparisons with in situ observations show that, SH and LE(latent heat flux) of JRA55 dataset had the smallest bias and mean absolute error(MAE), and those of NCEP R2 data show the largest differences.The ERA-Interim dataset had the highest spatial resolution, but performance was modest with bias and MAE between JRA55 and NCEP R2 compare with in situ observation. The CICE results(SH and LE) were consistent with the observed data but did not demonstrate the amplitude of inner seasonal variation. The comparison revealed better shortwave and longwave radiation stimulation based on the ERA-Interim forcing in CICE than the radiation of ERA-Interim. The average sea ice temperature decreased in June and July and increased after September,which was similar to the temperature measured by buoys, with a bias and MAE of 0.9°C and 1.0°C, respectively.  相似文献   

5.
冬季风期(11月—翌年3月)南海显著的气候特点是盛行东北季风并频繁地发生冷涌天气过程。使用2008年10月到2009年4月在西沙群岛永兴岛近海进行的海-气通量观测试验资料,分析了西沙海域冬季风期,尤其是冷涌时段的海-气通量交换和热量收支特征。结果表明:冬季风前期由于海-气温差增大,感热通量比西南季风期稍增加;潜热通量平均值与西南季风期接近;太阳总辐射明显降低,大气长波辐射减小,海洋热量净收入成为负值,使得秋季之后海面温度不断降低。冷涌期间海-气之间的感热通量高于冬季风期平均值,潜热通量大部分(1月份之前)也高于冬季风期平均值;由于潜热通量增大和太阳短波辐射减小,1月份之前的冷涌过程海洋热量净收支普遍出现较大负值,海洋失热量强于冬季风期,甚至强于2008年台风过程平均值。到了冬季后期太阳总辐射增强,海洋热量净收入转为正值,海水温度又逐渐升高。季节之间比较,观测区感热通量以冬季风期间最大,秋季次之,春季最小;而潜热通量夏季风期出现最大值,冬季次之,秋季最小。  相似文献   

6.
2000年南海季风爆发前后西沙海域海-气热量交换特征   总被引:14,自引:3,他引:14       下载免费PDF全文
利用2000年5月6日至6月17日在西沙海域进行的第二次南海海-气通量观测资料,计算了南海季风爆发前后海洋-大气间的辐射收支、感热通量、潜热通量及海洋热量净收支;发现季风爆发后海-气热量交换突然发生变化,其中潜热通量、海洋热量净收支变化尤为显著。讨论了季风爆发前后各种天气过程影响下海-气热量、水汽交换特点和海洋热量净收支变化,说明季风爆发前海洋是一个能量积累过程,季风爆发期海洋是一个能量释放过程,季风中断期海洋是一个能量再积累过程;季风爆发后西南大风期持续时间和强度,强烈影响水汽蒸发量大小,进而影响我国大陆上夏季降水,通过南海与阿拉伯海、孟加拉湾、西太平洋暖池等不同海域资料对比,分析了它们在海-气热量交换上的差别,指出这种差别是爆发后南海SST基本稳定而阿拉伯海、孟加拉湾SST明显降低的主要原因。  相似文献   

7.
20世纪90年代后期南海上层海温变化趋势的转折   总被引:1,自引:1,他引:0  
In this paper, the interdecadal variability of upper-ocean temperature in the South China Sea(SCS) is investigated based on several objectively analyzed data sets and two reanalysis data sets. The trends of the SCS sea surface temperature(SST) have changed from warming to cooling since the late 1990 s. A heat budget analysis suggests that the warming of the surface mixed layer during 1984–1999 is primarily attributed to the horizontal heat advection and the decrease of upward long wave radiation, with the net surface heat flux playing a damping role due to the increase of upward latent and sensible heat fluxes. On the other hand, the cooling of the surface mixed layer during 2000–2009 is broadly controlled by net surface heat flux, with the radiation flux playing the dominant role. A possible mechanism is explored that the variation of a sea level pressure(SLP) over the North Pacific Ocean may change the prevailing winds over the SCS, which contributes to the change of the SST in the SCS through the horizontal heat advection and heat fluxes.  相似文献   

8.
太平洋海域海气热通量地理分布和时间变化的研究   总被引:6,自引:1,他引:6  
应用美国宇航局Goddard地球观测系统四维资料同化系统计算和分析了太平洋海域感热通量和潜热通量随时间的变化规律和地理分布特征.研究结果表明,太平洋西北部海域热通量有明显的季节性变化,其余海域这种现象不明显.在太平洋海域总是存在潜热通量最高值区域,而感热通量除冬季20°N以北海域数值稍高外,其余海域数值都很小,没有出现最高值区域.纬度不同热通量随经度的变化规律不同,经度不同,热通量随纬度的分布规律也不同,同时各断面热通量随纬度的分布趋势随季节而改变.  相似文献   

9.
I~IOXThe bulk tranSfer method, direct measurement or gradient measurement method are usuallyused for the flux observation and calculation. These methods provide the flux values only in thelOCation where the measurements are carried out. In recent years scientists began to use medelcombined with remote sensing data for the calculation of heat flux. Its main poverty is tO obtainthe flux distribution over the wide ocean area simultaneously. Li Shiming et al. (1997) analyzedthe sensible and la…  相似文献   

10.
COARE算法估算海气界面热通量的个例对比分析   总被引:2,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   

11.
基于2016-02-01—2016-05-21在南海博贺海洋气象观测平台观测的实验资料,首先利用整体空气动力学算法分别计算海气界面处感热通量与潜热通量,同时利用涡动相关法计算液滴蒸发层处总的感热通量与潜热通量。然后比较海气界面处热通量与液滴蒸发层处热通量的值,并利用差比法分别对2处感热通量和潜热通量进行做差计算。结果表明:液滴蒸发层处热通量与海气界面处热通量存在明显差异。通过与海洋飞沫引起的热通量值比较,结果表明液滴蒸发层处热通量与海气界面处热通量的差值由海洋飞沫作用引起;且在中低风速条件下,海洋飞沫引起的热通量与风速呈正相关;相比感热通量而言,潜热通量随着风速的变化更为显著。  相似文献   

12.
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   

13.
以渤中8号采油平台为基地,对海上大气表面层的风速、温度和湿度廓线进行了同步测量。据测量数据的统计分析,确定了较好适用于渤海中部大气表面层的大气稳定度函数模式(不稳定状态),从而确定了一种海上大气表面层风湿廓线的参量化模式。依此模式,可由实测风温湿廓线数据计算海-气动量、感热和水汽通量。  相似文献   

14.
收集了1963—1996年长江口外海域水温的观测数据,分析了该海域冬、春季表层、10m层、20m层和30m层不同层次水温的季节和年际变化规律,以及其间水温垂向结构的变化。季节变化上,表层多年平均水温在8月最高,3月最低,底层多年平均水温9月最高,3月最低。年际变化上,冬季在1979年存在一个由冷到暖的跃迁;4月水温的年际变化较冬季复杂,表层、10m层、20m层和30m层水温分别在1979、1973、1973和1975年发生从冷到暖的跃迁。水平分布上,冬季除东南角小范围表层水温降低外,沿岸及北部海区表层水温均升高,春季北部和南部中间海域水温升高,升温幅度由表层至30m层逐渐变小。垂向结构上,冬季表底混合均匀,表层与20m层的年际变化相关系数高达0.97,春季表层与20m层的水温差存在10年左右的变化周期。本文将一些可能影响春季水温年际变化的因素与海温进行了比较并发现,在冷期,春季表层海温与长江口外海域气温相关较暖期好,相关指数为0.79;而暖期的春季表层与20m层的水温差与净热通量相关系数较高,为0.65。  相似文献   

15.
东海沿海季节性海平面异常成因   总被引:1,自引:0,他引:1  
Based on the analysis of sea level, air temperature, sea surface temperature(SST), air pressure and wind data during 1980–2013, the causes of seasonal sea level anomalies in the coastal region of the East China Sea(ECS) are investigated. The research results show:(1) sea level along the coastal region of the ECS takes on strong seasonal variation. The annual range is 30–45 cm, larger in the north than in the south. From north to south, the phase of sea level changes from 140° to 231°, with a difference of nearly 3 months.(2) Monthly mean sea level(MSL)anomalies often occur from August to next February along the coast region of the ECS. The number of sea level anomalies is at most from January to February and from August to October, showing a growing trend in recent years.(3) Anomalous wind field is an important factor to affect the sea level variation in the coastal region of the ECS. Monthly MSL anomaly is closely related to wind field anomaly and air pressure field anomaly. Wind-driven current is essentially consistent with sea surface height. In August 2012, the sea surface heights at the coastal stations driven by wind field have contributed 50%–80% of MSL anomalies.(4) The annual variations for sea level,SST and air temperature along the coastal region of the ECS are mainly caused by solar radiation with a period of12 months. But the correlation coefficients of sea level anomalies with SST anomalies and air temperature anomalies are all less than 0.1.(5) Seasonal sea level variations contain the long-term trends and all kinds of periodic changes. Sea level oscillations vary in different seasons in the coastal region of the ECS. In winter and spring, the oscillation of 4–7 a related to El Ni?o is stronger and its amplitude exceeds 2 cm. In summer and autumn, the oscillations of 2–3 a and quasi 9 a are most significant, and their amplitudes also exceed 2 cm. The height of sea level is lifted up when the different oscillations superposed. On the other hand, the height of sea level is fallen down.  相似文献   

16.
利用HOAPS资料研究南海海气界面热通量时空分布   总被引:6,自引:3,他引:6  
基于第二版本HOAPS(Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite data)潜热、感热和海表温度(SST)3个参量的15 a(1988~2002年)逐月平均资料,利用经验正交方法分解分析了这3个参量在南海的时空分布.结果表明,在夏季模态,潜热表现为南高北低,感热表现为中间低两边高,两者主要都是海洋向大气输送热量,但大气有时也向南海中部输送感热;在冬季模态,潜热和感热的高值区都在南海北部,东北部有一强中心,该中心主要是由风场引起的;夏季SST的变化导致全年SST呈准半年周期变化.冬季SST的变化滞后于潜热变化1个月;除夏季和冬季模态外,冬夏转换季节模态也十分明显;HOAPS与NCEP(National Center of Environment Prediction)资料相比,两者3个参量的时空分布大体一致,区别在于HOAPS资料能更好地反映参量的一些细微特征.  相似文献   

17.
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   

18.
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   

19.
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   

20.
利用COADS资料,首先计算了1949-1979年逐月北太平洋洋面的潜热通量与感热通量之和,并进行EOF分解,然后分析它们的时空变化特征。结果表明:1、在北太平洋,季平均热通值的季节变化具有两种形式,而且主要决定于风速值的季节变化,尤以东亚季风的效应为最明显。2、暖池区全年平均的多年月平均热通量及其标准差都居北太平洋诸洋流区之首。3、北太平洋异常热通量场具有最重要的两种类型。1月异常热通量主要类型  相似文献   

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