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Estimating the sea state bias of HY-2A radar altimeter by using a three-dimentional nonparametric model

Abstracts

The sea state bias (SSB) has become the dominant source of error in satellite altimetry. The operational SSB correction models are two-dimensional (2-D) nonparametric models based on the wind speed (U) and the significant wave height (SWH) that can be directly measured by the altimeters. This paper estimates the sea state bias of HY-2A radar altimeter using a three-dimensional (3-D) nonparametric model based on SWH from HY-2A interim geophysical dataset records (IGDR), U and the mean wave period (MWP) from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis project ERA-Interim. The 3-D SSB estimates can increase the explained variance by 1.72 cm2, or 1.31 cm RMS relative to the traditional 2-D SSB estimates based on U and SWH. ?2016 IEEE.
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Journal:International Geoscience and Remote Sensing Symposium (IGARSS)
Recommended references: Jiang, Maofei,Xu, Ke,Liu, Yalong,Wang, Lei.(2017).Estimating the sea state bias of HY-2A radar altimeter by using a three-dimentional nonparametric model.International Geoscience and Remote Sensing Symposium (IGARSS).[ChinaXiv:201703.00289] (Click&Copy)
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[V1] 2017-03-10 11:31:19 chinaXiv:201703.00289V1 Download
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