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为得到中国近海及邻域精度较高的海面地形,同时尽可能减少滤波对海面地形精度的影响,提出了联合卫星测高潮汐分析与XGM2019e地球重力场模型确定海面地形的方法,首先通过T/P系列(包括Jason-1、Jason-2、Jason-3)卫星测高数据潮汐分析得到沿迹点平均海面高,从中扣除根据XGM2019e重力场模型计算相应沿迹点上的大地水准面高得到沿迹点海面地形,最后通过Kriging插值和Gauss滤波得到研究区域内30′×30′海面地形模型。与DTU22同区域海面地形对比整体差异为±4.49 cm,与沿岸长期验潮站实测海面地形对比整体精度为±4.56 cm,高精度的海面地形为研究海流的变化提供了现实依据。 相似文献
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验潮站资料为评定卫星测高海面高度观测值的精度提供了有效途径。基于数据编辑准则筛选出HY-2A数据，通过引入NCEP实时大气压模型，解决了HY-2A卫星任务后期测高数据产品中部分干对流层延迟项和大气逆压校正项不可用的问题。在此基础上，将HY-2A海面高观测值与验潮站数据进行时空匹配，在选取的9个站点上进行了相关系数和标准差计算。结果表明，两者相关系数平均约为0.676 9，最优可达0.898 7，平均标准差为0.089 5 m。整体验证结果表明，HY-2A卫星测高数据质量符合设计指标，达到预期水平，为海洋重力场反演等应用研究提供了新的可靠数据源。 相似文献
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联合HY-2A、Geosat、ERS1/2、Envisat、T/P、Jason1/2等多颗测高卫星,通过共线处理和交叉点平差削弱海面时变效应和径向轨道误差等影响,以Jason-1测高卫星作为参考,对多代测高卫星进行基准统一,消除测高数据的不一致性,基于全球EGM2008重力场模型,采用移去恢复技术和逆Vening-Meinesz公式反演中国南海(0°~23°N,103°~120°E)2'×2'重力异常,与船测重力数据比较,均方根误差为4.9m Gal。 相似文献
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利用T/P卫星测高资料构造中国近海及邻域平均海平面和海面地形 总被引：13，自引：4，他引：9
在对T／P卫星4年1992年10月-1996年10月测高数据的编辑及预处理基础上,采用stacking处理技术构造出中国近海及邻域（0°—40°N,105°—135°E）相对于GRS80参考椭球的30’×30’年平均海平面,其总体精度达到±83cm（均方根）水平。验证了中国近海及邻域的平均海平面在总体上呈东南高、西北低的趋势。利用JGM-3和OSU91A混合模型的重力大地水准面,直接从平均海平面中扣除大地水准面起伏的影响,并采用“剪切”法得到中国近海及邻域完整到20阶次的海面地形模型的球谐函数表达式,验证了中国近海及邻域海面地形在总体上为正的格局,并对其构造特征作了初步探讨。 相似文献
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利用T/P卫星测高资料构造中国近海及邻域平均海平面和海面地形 总被引：1，自引：0，他引：1
在对T/P卫星4年1992年10月–1996年10月测高数据的编辑及预处理基础上,采用stacking处理技术构造出中国近海及邻域（0°–40°N,105°–135°E）相对于GRS80参考椭球的30'×30'年平均海平面,其总体精度达到±8.3cm（均方根）水平。验证了中国近海及邻域的平均海平面在总体上呈东南高、西北低的趋势。利用JGM-3和OSU91A混合模型的重力大地水准面,直接从平均海平面中扣除大地水准面起伏的影响,并采用“剪切”法得到中国近海及邻域完整到20阶次的海面地形模型的球谐函数表达式,验证了中国近海及邻域海面地形在总体上为正的格局,并对其构造特征作了初步探讨。 相似文献
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中国海及邻近海域卫星观测资料同化试验 总被引：4，自引：0，他引：4
利用1个基于POMgcs海洋模式和多重网格三维变分同化方法建立的中国海及邻近海域海面高与三维温盐流数值预报模型,通过一系列数值试验,研究了同化卫星测高和卫星遥感海面温度观测资料对该模型预报能力的影响。试验结果表明,同化卫星测高资料可明显改善海面高度与三维温度和盐度的分析预报效果,使1 200 m以上的温度预报误差减小0.16℃,并能有效提高对海洋中尺度现象的预报能力;同化卫星遥感海面温度对100 m以上的温度和盐度的预报效果有所改善,可使海面温度的预报误差减小10%。 相似文献
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The sea surface dynamic topography (the sea surface height relative to the geoid; hereafter abbreviated SSDT) can be divided into the temporal mean SSDT and the fluctuation SSDT around the mean. We use the optimal interpolation method to reduce the satellite radial orbit error and estimate the fluctuation SSDT southeast of Japan from Seasat altimetry data during the 17-day near-repeat mission. The fluctuation SSDT is further combined with the mean geopotential anomalies estimated from hydrographic data during the Seasat mission in order to give the approximated total SSDT, called here the composite SSDT (the approximated mean plus fluctuation SSDT's). The fluctuation SSDT is in accord with the low-frequency sea-level fluctuation recorded at tide gauge stations in the Japanese islands. The composite SSDT describes thoroughly variations of the location of the Kuroshio axis south of Japan determined on the basis of the GEK (Geomagnetic Electro-Kinematograph) surface velocities and the horizontal temperature distribution. The composite SSDT also agrees with oceanic variations east of Japan found in the temperature distribution at the depth of 200 m. These results confirm that the SSDT derived from altimetry data can provide fairly precise synoptic views of low-frequency oceanic phenomena. 相似文献
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Ship-board global navigation satellite system (GNSS) measurements are widely used to determine sea surface heights, marine geoid validation, and/or satellite altimetry calibration. However, the use of a vessel could be complicated near coastal areas due to shallow water. Therefore, in the area of sea ice formation, GNSS measurements on the ice surface could be a viable alternative to vessel-borne surveys. Importantly, the ice-covered water is not affected by short-term winds, which otherwise could have systematic influence on the instantaneous sea surface topography. This study tackles methodology and validation of marine geoid models by profile-wise GNSS measurements on ice in an archipelago of the Baltic Sea. The GNSS measurements were carried out on the three ice roads with total length 48 kilometers. The along-route standard deviation between the gravimetric geoid model and profile-wise GNSS heights remained within ±2.1 centimeters. 相似文献
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基于多源资料进行海面风场的同化融合或插值融合,目前受到计算能力的较大制约。本文提出在多源卫星数据和ERA-5再分析数据重叠区域,训练基于XGBoost的机器学习ERA-5数据修正融合模型。然后基于该模型快速修正ERA-5数据（机器学习推理）。由于机器学习推理的快速性,ERA-5全区域修正融合的时间仅需2 s左右,可以较小计算代价构建整个海面融合风场。本文以10 m风速、10 m风向、U10分量和V10分量等典型风场变量展开,考虑了海陆分布差异使用陆地掩膜消除陆地区域,分别构建D_S_A_XGBoost、D_S_O_XGBoost、U_V_A_XGBoost、U_V_O_XGBoost 4个ERA-5修正模型,并最终生成海面融合风场。通过修正前后的ERA-5再分析数据与卫星数据进行比较,上述4个模型均减小了ERA-5再分析数据与卫星数据的差距。特别是在风速方面,不论是均方根误差（RMSE）还是绝对误差（MAE）都得到有效降低。在风向方面上,RMSEd以及MAEd也呈现降低趋势。在利用热带大气海洋观测计划（Tropical Atmosphere Ocean Array,TAO）浮标数据对4种XGBoost模型进行评价发现,U_V_O_XGBoost模型对于ERA-5数据的修正结果最好,其相关性达到0.893,提高了约0.011,结果表明本文在保证风场精度的情况下较大地提高了融合速度。 相似文献
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Remote measurements of the spatial mean ocean wind speeds were obtained using Doppler spectra resolved to 0.08 Hz from high-resolution HF skywave-radar backscatter measurements of the ocean surface. A standard deviation of 2.4 m/s resulted from the correlation of observed winds over the ocean and the broadening of the Doppler spectra in the vicinity of the higher first-order Bragg line. This broadening, for Doppler spectra unperturbed by the ionospheric propagation, is proportional to the increase in power caused by higher order hydrodynamic and electromagnetic effects in the vicinity of the Bragg line and inversely proportional to the square root of the radio frequency. A lower bound on the measure of wind speed was established at 5 m/s by the low resolution spectral processing and low second-order power. An upper limit is suggested by the steep slope in the region of the sea backscatter spectrum outside the square root of two times the first-order Bragg line Doppler. 相似文献
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基于Himawari-8卫星的逐时次海表温度融合 总被引：1，自引：0，他引：1
Himawari-8卫星是日本气象厅发射的新一代地球同步静止气象卫星,为获取逐时次海表温度产品提供了有力数据支持。本文以Himawari-8 AHI海表温度为基础,利用最优插值法融合GCOM-W1 AMSR2海表温度和NERA-GOOS现场观测资料,生成逐时次海表温度融合产品。为了充分利用邻近时刻的海表温度观测资料,利用Himawari-8 AHI海表温度和欧洲中期天气预报中心海面风速数据建立匹配数据集,研究建立海表温度日变化模型,实现邻近时刻海表温度的订正;为了消除多源海表温度间的系统偏差,以Himawari-8 AHI海表温度为目标数据,利用泊松方程对GCOM-W1 AMSR2海表温度进行偏差订正。实验验证结果表明,利用逐时次海表温度融合产品计算的日增温情况与海面风速具有较好的相关性,间接证实了逐时次海表温度融合产品的准确性;另外,逐时次海表温度融合产品与现场观测海表温度的偏差为0.09℃、均方根误差为0.89℃,二者具有较好的一致性,说明逐时次海表温度融合产品具有较高的精度。 相似文献
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提高海洋表层流的精度与分辨率对于相关应用领域至关重要。研究引入海表面温度(sea surface temperature,SST)信息对高度计导出流场的改进效果,计算了2018年每日无间隔的全球海洋表层流速度。通过增加热量守恒方程约束,引入卫星测温产品,在地转流基础上生成表层流产品,并与现场漂流浮标速度比较,评估了使用多源卫星遥感获取海流的质量。研究表明,本文方法在不改变沿等温线的切向流速分量的前提下,沿等温线的法向流速分量得到了改进,方法能充分利用海表温度信息提取流场特征信息;方法不适用于海表面温度梯度较小区域,在梯度较大区域可获得明显改进;优化流场能更好地刻画海面海流变化,证明结合卫星测高与卫星测温可改善海洋表层流动;存在强烈中尺度活动和热梯度区域,增加SST观测能够弥补测高资料的不足。 相似文献
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基于卫星高度计的北极海冰厚度变化研究 总被引：5，自引：3，他引：2
A modified algorithm taking into account the first year(FY) and multiyear(MY) ice densities is used to derive a sea ice thickness from freeboard measurements acquired by satellite altimetry ICESat(2003–2008). Estimates agree with various independent in situ measurements within 0.21 m. Both the fall and winter campaigns see a dramatic extent retreat of thicker MY ice that survives at least one summer melting season. There were strong seasonal and interannual variabilities with regard to the mean thickness. Seasonal increases of 0.53 m for FY the ice and 0.29 m for the MY ice between the autumn and the winter ICESat campaigns, roughly 4–5 month separation, were found. Interannually, the significant MY ice thickness declines over the consecutive four ICESat winter campaigns(2005–2008) leads to a pronounced thickness drop of 0.8 m in MY sea ice zones. No clear trend was identified from the averaged thickness of thinner, FY ice that emerges in autumn and winter and melts in summer. Uncertainty estimates for our calculated thickness, caused by the standard deviations of multiple input parameters including freeboard, ice density, snow density, snow depth, show large errors more than 0.5 m in thicker MY ice zones and relatively small standard deviations under 0.5 m elsewhere. Moreover, a sensitivity analysis is implemented to determine the separate impact on the thickness estimate in the dependence of an individual input variable as mentioned above. The results show systematic bias of the estimated ice thickness appears to be mainly caused by the variations of freeboard as well as the ice density whereas the snow density and depth brings about relatively insignificant errors. 相似文献
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V. V. Knysh S. G. Demyshev G. K. Korotaev A. S. Sarkisyan 《Izvestiya Atmospheric and Oceanic Physics》2007,43(3):363-377
A method for combined assimilation of climatic hydrologic fields of temperature, salinity, and the climatic dynamic level of the Black Sea into a model of sea dynamics is proposed. The monthly mean fields of the dynamic sea level were obtained from the results of assimilation of satellite altimetry data into the model. The statistical characteristics of errors in the forecasts of the level, salinity, and temperature were assumed to be proportional to the statistical characteristics of the differences between monthly mean climatic fields of temperature, salinity, and sea level calculated by means of assimilating altimetry observations of the sea level and analogous climatic hydrologic fields. The climatic fields of currents are reconstructed and analyzed. The assimilation of the climatic altimetry level allows the reproduction (in current fields) of quasi-stationary synoptic anticyclonic eddies located along the periphery of the Black Sea Rim Current. 相似文献
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海底地形是全球地形的重要组成部分,对地球物理科学研究、经济活动等具有重要作用。基于Parker公式,利用卫星测高重力异常和船测水深数据,采用频域的方法反演了疑似马航MH370失事区域的留尼汪海域的10°×10°的海底地形。最后将反演的水深和船测水深、国际通用的海深模型ETOPO1作比较进行精度评估,结果表明:本文反演结果与船测水深相比误差平均值为-26.038 m,标准差为176.588 m;与ETOPO1相比,差异平均值为-33.541 m,标准差为160.769 m。这表明采用重力异常数据,结合船测数据能较高精度地反演海底地形。 相似文献