A New Method for Radar Altimeter Sea State Bias Estimation Based on Crossover Data and Three-dimensional Nonparametric Model

JIANG Maofei; XU Ke; LIU Yalong; WANG Lei

doi:10.11999/JEIT160195

Volume 38 Issue 11

Dec. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(11): 2731-2738

JIANG Maofei, XU Ke, LIU Yalong, WANG Lei. A New Method for Radar Altimeter Sea State Bias Estimation Based on Crossover Data and Three-dimensional Nonparametric Model[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2731-2738. doi: 10.11999/JEIT160195

Citation:

JIANG Maofei, XU Ke, LIU Yalong, WANG Lei. A New Method for Radar Altimeter Sea State Bias Estimation Based on Crossover Data and Three-dimensional Nonparametric Model[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2731-2738. doi: 10.11999/JEIT160195

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A New Method for Radar Altimeter Sea State Bias Estimation Based on Crossover Data and Three-dimensional Nonparametric Model

doi: 10.11999/JEIT160195

Received Date: 2016-03-03
Rev Recd Date: 2016-07-12
Publish Date: 2016-11-19

Abstract

Abstract

The Sea State Bias (SSB) is an important source of error in satellite altimetry. Operational SSB correction models are based on the altimeter-measured wind speed (U) and Significant Wave Height (SWH). This paper presents a new method to estimate the SSB from the crossover differences using a three-dimensional nonparametric model based on U, SWH, and the Mean Wave Period (MWP). Evaluated by the separate annual data sets from 2009 to 2011, the SSB values estimated with the presented method can decrease the variance of the crossover Sea Surface Height (SSH) differences by 1.64 cm2, or 1.28 cm RMS, and decrease the variance of the Sea Level Anomalies (SLA) by 0.92 cm2, or 0.96 cm RMS in comparison to the SSB values in the Geophysical Data Records (GDR) of Jason-2. It is of great significance for improving the precision of altimeter products.
- Radar altimeter,
- Sea state bias,
- Crossover,
- Three-dimensional nonparametric model

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References(25)

References

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