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Estimating polar marine free-air gravity anomalies from dense radar altimeter data

机译:从密集雷达高度计数据估算极地海洋自由重力异常

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Geological free-air gravity anomalies of the polar marine areas were estimated from dense ERS1 radar altimeter data. Data processing techniques were developed to deal with data gaps from the seasonal ice coverage, directional variations of the ascending and descending orbital data tracks, and other high-latitude mapping problems. To reduce along-track data distortions, the ERS1 168 altimetry data were geodetically co-phased and spectral correlation filtered. Geoid undulations were first estimated and converted to the free-air gravity anomalies by Brun’s formula and the fundamental equation of geodesy. The results in the open waters of the Barents and Kara Seas of the Russian Arctic show good coherence with global model and shipborne data, whereas along the coastline, strong ocean currents, possible tidal model inaccuracies, and poor data coverage limit the coherence. The approach uses local satellite altimetry to update reference gravity models in the polar regions. It thus has considerable utility for resolving details of the polar marine gravity field as global warming removes the ice cover and the cross-track distance of altimeter missions decreases.
机译:根据密集的ERS1雷达高度计数据估算了极地海洋区域的地质自由重力异常。开发了数据处理技术以应对季节性冰盖,上升和下降轨道数据轨道的方向变化以及其他高纬度映射问题造成的数据缺口。为了减少沿轨数据失真,对ERS1 168高程数据进行了大地同相并过滤了频谱相关性。首先估算大地水准面的起伏,然后通过布伦公式和大地测量的基本方程将其转换为自由重力异常。俄罗斯北极圈的巴伦支海和喀拉海域的开阔水域的结果与全球模型和船载数据显示出良好的一致性,而沿海岸线,强烈的洋流,可能的潮汐模型不准确以及数据覆盖率差限制了一致性。该方法使用本地卫星测高仪来更新极地地区的参考重力模型。因此,由于全球变暖消除了冰盖并且高度计任务的跨轨距离减小,它在解决极地海洋重力场的细节方面具有相当大的实用性。

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