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本文利用2018年9—10月和2020年7—8月在南海北部海域获取的叶绿素a浓度和遥感反射率现场实测数据,对3种叶绿素a浓度标准算法(OC2v4、OC3M和OC4v4)及3种区域算法(OC4v4_TP、OC2_X、INOC3)进行了模型精度评估;根据我国自主海洋水色卫星(HY-1C和HY-1D卫星)搭载的水色水温扫描仪(COCTS)的波段设置,构建了适用于我国南海北部海域的两波段、三波段、四波段和五波段比值的叶绿素a浓度反演算法。研究结果表明:标准算法的反演精度优于区域算法;针对HY-1C和HY-1D卫星构建的五波段比值OC5_C算法反演精度较标准算法反演精度有很大提高,叶绿素a浓度反演值与实测值的平均绝对误差为0.08μg/L,平均相对误差为21.36%,可为我国海洋水色卫星遥感数据在南海及同类水体的定量化应用提供算法支撑。 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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利用多代卫星测高数据计算中国近海及邻域重力异常 总被引:1,自引:0,他引:1
为提高海洋重力场数据的精度和空间分辨率,联合Jason-1/2、T/P、Envisat、ERS-1/2、Geosat等多代卫星测高数据计算中国近海及邻域(0°~42°N,100°~140°E)2′×2′重力异常。对卫星测高数据分别进行共线处理和自交叉点平差,并以T/P卫星测高数据为基准进行多星数据联合平差,有效削弱了卫星测高数据的时变影响和不协调性;利用逆Vening-Meinesz公式计算重力异常,与船测重力相比,均方根误差为5.4 mgal。结果表明,通过引入高精度的卫星测高数据,结合多项平差处理手段,提高了海洋重力异常的计算精度。 相似文献
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联合Jason-1/2、T/P、Envisat、ERS-1/2、Geosat等多代卫星测高数据计算中国近海及邻域(0°~42°N,100°~140°E)2′×2′重力异常。对卫星测高数据分别进行共线处理和自交叉点平差,并以T/P卫星测高数据为基准进行多星数据联合平差,有效削弱了卫星测高数据的时变影响和不协调性;利用逆Vening-Meinesz公式计算重力异常,与船测重力相比,均方根误差为5.4mGal。结果表明,通过引入高精度的卫星测高数据,结合多项平差处理手段,提高了海洋重力异常的计算精度。 相似文献
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MERIS遥感数据特性及应用 总被引:2,自引:0,他引:2
中等分辨率成像频谱仪(M ER IS)是搭载于由欧洲空间局(ESA)发射的迄今为止最大的综合性环境卫星ENV ISAT-1上的主要传感器,由法国和荷兰共同研制,是目前水色传感器中最有优势的传感器之一。文中主要介绍了M ER IS遥感数据的特点,与M OD IS、SeaW IFS传感器相比,M ER IS在波段设置与辐射灵敏度等方面都有较大的优势,更适合于海洋水色的应用。针对M ER IS的波段设置,重点介绍了M ER IS数据在海洋水色的应用范围与应用原理,并简要介绍其在大气与陆地上的应用。 相似文献
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For ocean and climate research, it is essential to get long-term altimetric sea level data that is as accurate as possible. However, the accuracy of the altimetric data is frequently degraded in the interior of the Arctic Ocean due to the presence of seasonal or permanent sea ice. We have reprocessed ERS-1/2/Envisat satellite altimetry to develop an improved 20-year sea level dataset for the Arctic Ocean. We have developed both an along-track dataset and three-day gridded sea level anomaly (SLA) maps from September 1992 to April 2012. A major improvement in data coverage was gained by tailoring the standard altimetric editing criteria to Arctic conditions. The new reprocessed data has significant increased data coverage with between 4 and 10 times the amount of data in regions such as the Beaufort Gyre region compared with AVISO and RADS datasets. This allows for a more accurate estimation of sea level changes from satellite altimetry in the Arctic Ocean. The reprocessed dataset exhibit a mean sea level trend of 2.1 ± 1.3 mm/year (without Glacial Isostatic Adjustment correction) covering the Arctic Ocean between 66°N and 82°N with significant higher spatial coherency in the ice-covered regions than the RADS and DUACS datasets. 相似文献
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为弥补测高数据在近海区域因为编辑准则被剔除而导致近海测量数据质量不高的缺点,利用5参数模型的两种形式和Ice-2模型对Jason-2卫星在中国南海部分海域的海洋回波波形进行了波形重跟踪的研究,并选择20个海洋回波波形,依据最小二乘原理进行计算、分析、对比,发现5参数模型的指数形式的结果和Ice-2模型结果非常接近。研究结果表明,在开阔的海域,对Jason-2波形进行3种方法波形重跟踪时,可以优先考虑Ice-2模型。波形重跟踪技术能够提高卫星测高数据利用率,为科学研究提供可靠的数据保障。 相似文献
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The verification phase of the Jason-1 satellite altimeter mission presents a unique opportunity for comparing near-simultaneous, independent satellite measurements. Here we examine simultaneous significant wave height measurements by the Jason-1 and TOPEX/Poseidon altimeters. These data are also compared with in situ measurements from deep-ocean buoys and with predicted wave heights from the Wave Watch III operational model. The rms difference between Jason and TOPEX wave heights is 28 cm, and this can be lowered by half through improved outlier editing and filtering of high-frequency noise. Noise is slightly larger in the Jason dataset, exceeding TOPEX by about 7 cm rms at frequencies above 0.05 Hz, which is the frequency at which the coherence between TOPEX and Jason measurements drops to zero. Jason wave heights are more prone to outliers, especially during periods of moderate to high backscatter. Buoy comparisons confirm previous reports that TOPEX wave heights are roughly 5% smaller than buoy measurements for waves between 2 and 5 m; Jason heights in general are 3% smaller than TOPEX. Spurious dips in the TOPEX density function for 3- and 6-m waves, a problem that has existed since the beginning of the mission, can be solved by waveform retracking. 相似文献
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《Marine Geodesy》2013,36(3-4):367-382
The verification phase of the Jason-1 satellite altimeter mission presents a unique opportunity for comparing near-simultaneous, independent satellite measurements. Here we examine simultaneous significant wave height measurements by the Jason-1 and TOPEX/Poseidon altimeters. These data are also compared with in situ measurements from deep-ocean buoys and with predicted wave heights from the Wave Watch III operational model. The rms difference between Jason and TOPEX wave heights is 28 cm, and this can be lowered by half through improved outlier editing and filtering of high-frequency noise. Noise is slightly larger in the Jason dataset, exceeding TOPEX by about 7 cm rms at frequencies above 0.05 Hz, which is the frequency at which the coherence between TOPEX and Jason measurements drops to zero. Jason wave heights are more prone to outliers, especially during periods of moderate to high backscatter. Buoy comparisons confirm previous reports that TOPEX wave heights are roughly 5% smaller than buoy measurements for waves between 2 and 5 m; Jason heights in general are 3% smaller than TOPEX. Spurious dips in the TOPEX density function for 3- and 6-m waves, a problem that has existed since the beginning of the mission, can be solved by waveform retracking. 相似文献
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HY-2A卫星海面高度数据质量评估 总被引:1,自引:0,他引:1
对HY-2A卫星雷达高度计数据进行筛选获取有效的观测点,利用HY-2A卫星第18~23周期数据和同时在轨的Jason-2数据进行交叉点选取,对两颗卫星在交叉点海面高度异常值的差值进行统计与分析,提出了基于交叉点差值统计特征的筛除HY-2A轨道数据方法,评估了HY-2A卫星雷达高度数据质量。结果显示,HY-2A卫星18~23周期阈值筛选去除的点个数占总海洋观测点约12%,HY-2A海面高度异常与Jason-2海面高度异常的标准偏差在7.0 cm,数据精度满足设计精度要求。 相似文献
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J. Carter Tate 《Marine Geodesy》2013,36(2-3):141-149
The Hydrographic Department and the Information Systems Department at the Naval Oceanographic Office (NAVOCEANO) successfully transmitted coastal area sounding and position data collected by USNS John McDonnell, a recently built survey vessel, from the Gulf of Mexico to NAVOCEANO at Stennis Space Center, Mississippi. Two external modems were used to modulate and demodulate the data that were received from a MICROVAX 3400 aboard USNS McDonnell and sent to the Intergraph Interactive Workstation at NAVOCEANO via the MARISTAT communication satellite. The Kermit file transfer protocol was used to bridge the different operating environments between input/output (I/O) devices and central processors. Office processors were able to evaluate the data prior to the departure of the survey platform from the area. From this data, smooth sheets‐were produced. Equipment upgrades and more efficient use of satellite availability within the entire INMARSAT system should allow near‐real‐time editing and validation of field hydro‐graphic data. 相似文献
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A mean sea surface model is used as the frame of reference in processing altimeter data. This article focuses on ascertaining the extent to which results depend on the different mean sea surface models used. In particular, we have analyzed the results from the OSU95MSS and the CLS_SHOMv.98.2 models in an area in the North Atlantic Ocean comprising the Canary and Azores Islands. Special attention has been paid to data editing and several criteria were proposed. The amount of detected data is quite small because we used a well corrected data set. However, it was enough to show important relations between the applied criteria and the kind of area. Therefore we analyzed the best way to apply these criteria according to the areas where the points have been found. Singular areas related to several factors have been detected by all the suggested criteria. In particular, rough sea bottom features, dynamic circulation, and amphidromic points of the tidal waves, among others. As a result of this analysis, we have not considered it appropriate to remove all the detected points. Two time-averaged and corrected mean sea surfaces were determined in the test area. 相似文献
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A mean sea surface model is used as the frame of reference in processing altimeter data. This article focuses on ascertaining the extent to which results depend on the different mean sea surface models used. In particular, we have analyzed the results from the OSU95MSS and the CLS_SHOMv.98.2 models in an area in the North Atlantic Ocean comprising the Canary and Azores Islands. Special attention has been paid to data editing and several criteria were proposed. The amount of detected data is quite small because we used a well corrected data set. However, it was enough to show important relations between the applied criteria and the kind of area. Therefore we analyzed the best way to apply these criteria according to the areas where the points have been found. Singular areas related to several factors have been detected by all the suggested criteria. In particular, rough sea bottom features, dynamic circulation, and amphidromic points of the tidal waves, among others. As a result of this analysis, we have not considered it appropriate to remove all the detected points. Two time-averaged and corrected mean sea surfaces were determined in the test area. 相似文献