共查询到19条相似文献，搜索用时 109 毫秒
1.
卫星高度计可获取有关海南流浪和粗糙度的信息，并可给出较高精度的海浪有效流高值。以１９８８年ＧＥＯＳＡＴ高度计资料为依据，研究了分析南海北部海域的有效波高特征，并与常规断面调查所得结论作了比较分析。 相似文献
2.
随着技术的进步和数据处理方法的完善,经过修正的卫星高度计数据已获得普遍认可。但在南大洋缺少波浪现场数据,卫星高度计在极端恶劣气候条件下获得数据的准确度仍受到一定程度的质疑。中国于2020年第36次南极考察中,在南大洋布放了一套感应耦合漂流浮标,可提供可靠的南大洋现场波浪数据。本文利用该漂流浮标2020年1月27日至9月29日共246天的有效波高数据与7颗卫星的高度计资料进行对比,研究了空间窗口的选取对卫星高度计与浮标数据比较的影响。选定了30 min、160 km的时空窗口,对两种波高数据进行了对比,两者具有较高的一致性,但存在一定的差异。最终得出了经过其他海域现场波浪数据修正的卫星高度计资料,不一定能准确刻画南大洋有效波高特征,需要更多的现场资料进行再次修正的结论。 相似文献
3.
4.
利用TOPEX卫星高度计资料分析东中国海的风、浪场特征 总被引：3，自引：0，他引：3
利用TOPEX卫星高度计和日本气象厅浮标观测资料,对东中国海的有效波高和风速进行比较,分析了卫星高度计资料的有效性。利用有效波高和风速的3种概率密度函数分布,结合TOPEX卫星高度计资料,并采用最大似然方法对统计分布参数进行估计,结果表明,有效波高的对数-正态概率密度分布与观测资料的直方图在有效波高的整个范围内符合较好,风速的直方图与Weibul概率密度分布符合较好。同时,分析了有效波高大于4 m的巨浪在东中国海的时空分布特征,表明巨浪多出现在冬、秋两季,平均有效波高最大值出现在夏季,且主要分布在东中国海东南部。 相似文献
5.
本文采用国际上广泛应用的3种再分析风场驱动WAVEWATCH III模型得到了南海波浪后报数据,并基于全球卫星高度计波高数据和我国沿海浮标实测数据对不同的风场计算结果进行了对比分析,分析表明3种风场的误差特征相差明显,其中ERA-40风场偏小,CFSR风场非常适合模拟常见天气的波浪过程,NCDC风场适合模拟大浪过程。论文重点以NCDC风场后报波浪数据分析了波浪模型模拟误差特点,发现在台风频发的的南海北部海域,再分析风场易低估大值波高,而在季风影响明显的南海南部海域,再分析风场易高估波高。浮标周边2°范围海域内的卫星高度计波高模拟误差趋势与浮标波高模拟误差趋势相似,浮标波高数据的统计特征值与"2度法"提取的卫星高度计数据统计特征值具有较高一致性。 相似文献
6.
在分析1987—1988年两年间Geosat卫星高度计遥感资料的基础上,给出了南海海面月平均风速和月平均有效波高的分布,以及沿南海NE－SW向的风、浪年变化特征;并与船舶报资料作了对比分析,其结果显示该高度计遥感资料与常规资料（船舶报资料）基本一致。 相似文献
7.
卫星高度计实现了对全球性或区域性的海洋参量的实时监测,TOPEX卫星高度计提供了迄今为止时间序列最长、数据质量最高的全球海面风速和有效波高的同步观测资料。利用TOPEX卫星高度计资料,分析了有效波高4m以上的巨浪在台湾岛周边海域的时空分布特征,结果表明台湾岛周边海域巨浪的分布具有明显的季节特征。每年平均有效波高最大值大多数出现在夏季,春季是1a中有效波高最小的季节,而秋季和冬季是巨浪出现频率最高的季节。波高大于6m的巨浪大都出现在台湾岛东部及东北部海域,在南部海域出现较少。 相似文献
8.
卫星高度计实现了对全球性或区域性的海洋参量的实时监测，TOPEX卫星高度计提供了迄今为止时间序列最长、数据质量最高的全球海面风速和有效波高的同步观测资料。利用TOPEX卫星高度计资料，分析了有效波高4 m以上的巨浪在台湾岛周边海域的时空分布特征，结果表明台湾岛周边海域巨浪的分布具有明显的季节特征。每年平均有效波高最大值大多数出现在夏季，春季是1 a中有效波高最小的季节，而秋季和冬季是巨浪出现频率最高的季节。波高大于6 m的巨浪大都出现在台湾岛东部及东北部海域，在南部海域出现较少。 相似文献
9.
基于MASNUM海浪数值预报系统的全球10 a后报数据库资料,分析了北印度洋区域波浪分布特征.由于该地区受季风控制显著,夏季波浪大于冬季;在空间分布上,西部比东部风大、浪大,在亚丁湾、索马里外海波浪最大.基于Janson-1卫星高度计有效波高观测资料,对MASNUM海浪预报系统的预报性能进行了检验,检验结果表明,预报波高均方根误差在0.5 m左右,短期的24 h预报效果好于48 h和72 h,冬季好于夏季.另外,对预报误差进行了相应的概率分布分析. 相似文献
10.
采用卫星高度计资料分析南海风,浪的月平均特征 总被引：4，自引：0，他引：4
在分析１９８７－１９８８年两年间Ｇｅｏｓａｔ卫星高度计遥感资料的基础上,给出了南海海面月平均风速和月平均有效波高的分布,以及沿南海ＮＥ－ＳＷ向的风,浪年变化特征;并与船舶报资料作了对比分析,其结果显示该高度计遥感资料与常规资料基本一致。 相似文献
11.
利用机器学习的方法,对14个周期HY-2A卫星高度计数据:风速、有效波高和海面高度差值进行训练,探究海况偏差和风速、有效波高之间的关系,创建海况偏差核函数非参数模型(NPSSB),并与参数模型中具有代表性的BM3、BM4模型进行对比。研究表明:(1)核函数NPSSB模型能够很好的反映SSB与U、SWH之间的关系,SSB与U呈二次函数关系,SSB与SWH呈反比例函数关系;(2)核函数NPSSB模型对SSB的模拟能力与训练数据集相关,数据量越多,模拟能力越好;(3)核函数NPSSB模型与BM3、BM4模型都存在0^-0.03 m的差值,随着风速和有效波高的增加,差值的绝对值越大。 相似文献
12.
The significant wave height (SWH) is one of the main parameters that describe wave characteristics and is widely used in wave research fields. Wave parameters measured by radar are influenced by the offshore distance and sea state. Validation and calibration are of great significance for radar data applications. The nadir beam of surface wave investigation and monitoring (SWIM) detects the global-ocean-surface SWH. To determine the product quality of SWIM SWH, this paper carried out time-space matching between SWIM and buoy data. The data qualities were evaluated under different offshore distances and sea states. An improved calibration method was proposed based on sea state segmentation, which considered the distribution of the point collocation numbers in various sea states. The results indicate that (1) the SWIM SWH accuracy at offshore distances greater than 50 km is higher than that at distances less than 50 km, with an root mean squared error (RMSE) of 0.244 4 m, scatter index (SI) of 0.115 6 and relative error (RE) of 9.97% at distances greater than 50 km and those of 0.446 0 m, 0.223 0 and 18.66% at distances less than 50 km. (2) SWIM SWH qualities are better in moderate and rough sea states with RMSEs of 0.284 8 m and 0.316 9 m but are worse in slight and very rough sea states. (3) The effect of the improved calibration method is superior to the traditional method in each sea state and overall data, and the RMSE of SWIM SWH is reduced from the raw 0.313 5 m to 0.285 9 m by the traditional method and 0.198 2 m by the improved method. The influence of spatiotemporal window selection on data quality evaluation was analyzed in this paper. This paper provides references for SWIM SWH product applications. 相似文献
13.
利用Jason-3卫星在国外4个主要卫星高度计定标场所在海域的测量数据,分析了这些海域的有效波高变化特性。在我国大陆沿岸选取了Jason-3卫星经过的12个海域,分析了它们的有效波高变化特性,给出了在我国大陆沿岸建设卫星测高定标场的选址建议。Bass、Corsica、Gavdos等3个定标场海域的平均有效波高约为1.1 m,说明平均有效波高1.1 m及以下的海域适用于建设定标场。选定的12个沿岸海域中,渤海及黄海海域平均有效波高小于0.8 m,显著小于东海及南海1.3～1.5 m平均有效波高,单独从有效波高的角度渤海及黄海海域更适合于建设卫星高度计定标场。 相似文献
14.
时空窗口的选择是卫星高度计有效波高产品检验的主要影响因素。采用Monte Carlo(MC)数学模拟的方法 ,研究了时空窗口对HY-2高度计有效波高检验的影响,并采用现场浮标测量数据验证了MC模拟的可靠性。MC模拟结果表明,采用浮标测量数据对HY-2高度计有效波高检验时,必须分海况选取对应的最优空间窗口进行,并给出不同海况下的最优的时空窗口。对于高海况需采用小的空间窗口,在1 m,2 m,3 m,4 m有效波高的海况下,其理想的时空窗口为0 min,117 km,30 km,18 km和13 km。 相似文献
15.
Andrew K. Laing 《新西兰海洋与淡水研究杂志》2013,47(4):727-744
Wave data derived from radar altimeters carried on four satellite missions are combined into a wave climatology for New Zealand waters. These data provide extensive observations of wave conditions around New Zealand, where the paucity of measurements has previously hindered definition of the wave climate. The data span the period 1985 to the present with the exception of a 2‐year gap in 1989–91. The spatial distribution of the long‐term mean of significant wave heights (SWH) indicates a strong latitudinal variation in the south‐west Pacific, with values of over 4 m at latitudes of 50–60°S and under 2.5 m towards the tropics. The shadowing of New Zealand is quite marked; a result of the dominant contribution of south‐westerly wave events. The annual range of the mean SWH also varies over the region; within 0.6 m in the north and 1.3 m in the south. A principal component analysis of the monthly anomalies in mean SWH identifies spatial patterns of variation. Some components vary with the local wind more than others suggesting that some anomalies are associated with wind sea and some with swell. Some patterns also appear to vary with the Southern Oscillation Index and can be related to the wind anomalies associated with El Nino events. Frequency distributions of SWH are also determined, and it is noted that in the north of the region the spatial pattern of the high waves differs considerably from the means. 相似文献
16.
17.
The main objective of this paper is to propose a newly developed ocean Significant Wave Height(SWH) retrieval method from Envisat Advanced Synthetic Aperture Radar(ASAR) imagery. A series of wave mode imagery from January, April and May of 2011 are collocated with ERA-Interim reanalysis SWH data. Based on the matched datasets, a simplified empirical relationship between 22 types of SAR imagery parameters and SWH products is developed with the Genetic Algorithms Partial Least-Squares(GA-PLS) model. Two major features of the backscattering coefficient σ_0 and the frequency parameter S_(10) are chosen as the optimal training feature subset of SWH retrieval by using cross validation. In addition, we also present a comparison of the retrieval results of the simplified empirical relationship with the collocated ERA-Interim data. The results show that the assessment index of the correlation coefficient, the bias, the root-mean-square error of cross validation(RMSECV) and the scattering index(SI) are 0.78, 0.07 m, 0.76 m and 0.5, respectively. In addition, the comparison of the retrieved SWH data between our simplifying model and the Jason-2 radar altimeter data is proposed in our study.Moreover, we also make a comparison of the retrieval of SWH data between our developed model and the wellknown CWAVE_ENV model. The results show that satisfying retrieval results are acquired in the low-moderate sea state, but major bias appears in the high sea state, especially for SWH5 m. 相似文献
18.
We present the results of retracking 18 cycles (15 from the Jason-TOPEX collinear period) of Jason-1 data. We used the retracking method of Rodriguez which simultaneously solves for all relevant waveform parameters using a 26 Gaussian model of the altimeter point target response. We find significant differences from the Jason-1 Project retracking in the key parameters of range and significant wave height (SWH) in the second version of the Project SGDRs. The differences from the Jason-1 data have a strong dependence on off-nadir angle and some dependence on SWH. The dependence of range on SWH is what is called sea state bias. The retracking technique also estimates surface skewness. For Jason-1 with its very clean waveforms we make the first direct estimates of the skewness effect on altimeter data. We believe that the differences found here and thus in overall sea surface height are the result of the standard project processing using a single Gaussian approximation to the Point Target Response (PTR) and not solving simultaneously for off nadir angle. We believe that the relatively large sea state bias errors estimated empirically for Jason-1 during the cal/val phase result from sensitivity of quantities, particularly SWH, in project GDRs to off nadir angle. The TOPEX-Jason-1 bias can be determined only when a full retracking of Jason-1 is done for the collinear period. 相似文献
19.
Retracking of Jason-1 Data 总被引：1，自引：0，他引：1
We present the results of retracking 18 cycles (15 from the Jason-TOPEX collinear period) of Jason-1 data. We used the retracking method of Rodriguez which simultaneously solves for all relevant waveform parameters using a 26 Gaussian model of the altimeter point target response. We find significant differences from the Jason-1 Project retracking in the key parameters of range and significant wave height (SWH) in the second version of the Project SGDRs. The differences from the Jason-1 data have a strong dependence on off-nadir angle and some dependence on SWH. The dependence of range on SWH is what is called sea state bias. The retracking technique also estimates surface skewness. For Jason-1 with its very clean waveforms we make the first direct estimates of the skewness effect on altimeter data. We believe that the differences found here and thus in overall sea surface height are the result of the standard project processing using a single Gaussian approximation to the Point Target Response (PTR) and not solving simultaneously for off nadir angle. We believe that the relatively large sea state bias errors estimated empirically for Jason-1 during the cal/val phase result from sensitivity of quantities, particularly SWH, in project GDRs to off nadir angle. The TOPEX-Jason-1 bias can be determined only when a full retracking of Jason-1 is done for the collinear period. 相似文献