Retrieval of sea surface winds under hurricane conditions from GNSS-R observations

JING Cheng; YANG Xiaofeng; MA Wentao; YU Yang; DONG Di; LI Ziwei; XU Cong

doi:10.1007/s13131-016-0933-7

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Article Navigation > Acta Oceanologica Sinica > 2016 > 35(9): 91-97

JING Cheng, YANG Xiaofeng, MA Wentao, YU Yang, DONG Di, LI Ziwei, XU Cong. Retrieval of sea surface winds under hurricane conditions from GNSS-R observations[J]. Acta Oceanologica Sinica, 2016, 35(9): 91-97. doi: 10.1007/s13131-016-0933-7

Citation:

JING Cheng, YANG Xiaofeng, MA Wentao, YU Yang, DONG Di, LI Ziwei, XU Cong. Retrieval of sea surface winds under hurricane conditions from GNSS-R observations[J]. Acta Oceanologica Sinica, 2016, 35(9): 91-97. doi: 10.1007/s13131-016-0933-7

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Retrieval of sea surface winds under hurricane conditions from GNSS-R observations

doi: 10.1007/s13131-016-0933-7

1.
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
2.
National Engineering Center for Geoinformatics, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Received Date: 2015-10-14
Rev Recd Date: 2016-01-11

Abstract

Abstract

Reflected signals from global navigation satellite systems (GNSSs) have been widely acknowledged as an important remote sensing tool for retrieving sea surface wind speeds. The power of GNSS reflectometry (GNSS-R) signals can be mapped in delay chips and Doppler frequency space to generate delay Doppler power maps (DDMs), whose characteristics are related to sea surface roughness and can be used to retrieve wind speeds. However, the bistatic radar cross section (BRCS), which is strongly related to the sea surface roughness, is extensively used in radar. Therefore, a bistatic radar cross section (BRCS) map with a modified BRCS equation in a GNSS-R application is introduced. On the BRCS map, three observables are proposed to represent the sea surface roughness to establish a relationship with the sea surface wind speed. Airborne Hurricane Dennis (2005) GNSS-R data are then used. More than 16 000 BRCS maps are generated to establish GMFs of the three observables. Finally, the proposed model and classic one-dimensional delay waveform (DW) matching methods are compared, and the proposed model demonstrates a better performance for the high wind speed retrievals.
- global navigation satellite system-reflectometry,
- Hurricane Dennis,
- delay doppler maps,
- bistatic radar cross section map,
- sea surface wind speed

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References(31)

References

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