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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Improved Sea Surface Height From Satellite Altimetry in Coastal Zones: A Case Study in Southern Patagonia
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Improved Sea Surface Height From Satellite Altimetry in Coastal Zones: A Case Study in Southern Patagonia

机译:沿海地区卫星测高仪改善的海面高度:以巴塔哥尼亚南部为例

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摘要

High-resolution 20-Hz Jason-2 satellite altimetry data obtained from crossing tracks numbered 52 and 189 in San Matias Gulf, Argentina, are compared with a 22-month-long time series of sea level measured by a bottom pressure recorder. It was deployed 1.3 km from the nominal intersection of the two tracks and 0.9 km from the coast. Results show that by improving retracking and tidal modeling, satellite altimetry data become more accurate close to the coast. Indeed, a larger number of reliable data are obtained up to 1.6 km from the coast when satellite data are retracked using adaptive leading edge subwaveform retracker (ALES) rather than using the classic Brown model. The tidal model that showed the lowest root sum square (RSS) of the difference between the in situ and the modeled tidal amplitude and phase is TPXO8 (RSS 4.8 cm). Yet, the lowest difference from in situ tidal constituents is obtained by harmonic analysis of the available 23-year-long 1-Hz altimetry dataset (RSS 4.1 cm), highlighting the potential of altimetry data to compute tides. Considering ALES retracking and TPXO8 tidal correction for the 20-Hz Jason-2 data, we finally show that it is possible to retrieve 70% more data and to improve correlation with in situ measurements from 0.79 to 0.95. The sea level anomaly obtained this way has a root mean square difference from in situ data of only 13 cm as close as 4 km from the coast. Overall, the analysis performed indicates that satellite altimetry data can be greatly improved, even in complex macrotidal coastal regions.
机译:从阿根廷圣马蒂亚斯湾的52和189号交叉轨道获得的高分辨率20 Hz Jason-2卫星测高数据与底部压力记录仪测量的22个月的海平面时间序列进行了比较。它的部署距离两条轨道的标称交叉点1.3公里,距离海岸0.9公里。结果表明,通过改进回潮和潮汐模型,卫星测高仪数据在海岸附近变得更加准确。确实,当使用自适应前沿子波形跟踪器(ALES)而不是使用经典的布朗模型对卫星数据进行跟踪时,可以从海岸到1.6公里处获取大量可靠的数据。显示原位与模拟潮汐振幅和相位之差的最小均方根(RSS)的潮汐模型是TPXO8(RSS 4.8 cm)。然而,通过对现有的长达23年的1-Hz测高数据集(RSS 4.1 cm)进行谐波分析,可以得到与原位潮汐成分之间的最小差异,突出了测高数据在计算潮汐方面的潜力。考虑到20 Hz Jason-2数据的ALES重新跟踪和TPXO8潮汐校正,我们最终表明,有可能再检索70%的数据,并提高与原位测量值的相关性,从0.79到0.95。通过这种方式获得的海平面异常与实地数据的均方根差只有13 cm,距离海岸仅4 km。总体而言,所进行的分析表明,即使在复杂的巨潮沿海地区,卫星测高数据也可以得到极大改善。

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