Applications of SMAP data to retrieval of ocean surface wind and salinity

Simon Yueh; Alexander Fore; Wenqing Tang; Akiko Hayashi; Bryan Stiles; Fuqing Zhang; Yonghui Weng; Nicolas Real

doi:10.1117/12.2240710

Applications of SMAP data to retrieval of ocean surface wind and salinity

Simon Yueh, Alexander Fore, Wenqing Tang, Akiko Hayashi, Bryan Stiles, Fuqing Zhang, Yonghui Weng, Nicolas Real

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

We have examined the L-band radiometer and radar data from NASA's Soil Moisture Active Passive (SMAP) mission for ocean research and applications. We find that the SMAP data are in excellent agreement with the geophysical model function (GMF) derived from the Aquarius data up to a wind speed of 20 ms^-1. For severe wind conditions, the higher resolution data from SMAP allowed us to assess the sensitivity of L-band radiometer signals to hurricane force winds. We applied the L-band GMF to the retrieval of ocean surface wind and SSS from the SMAP data. Comparison with the European Center for Medium-Range Weather Forecasting, WindSat and RapidSCAT wind speeds suggests that SMAP's radiometer wind speed reaches an excellent accuracy of about 1.1-1.7 ms^-1 below a wind speed of 20 ms^-1. We have also found that the maximum wind speed derived from the SMAP radiometer data can reach 140 knots for severe storms and are generally in good agreement with the hurricane track analysis and operational aircraft Stepped Frequency Microwave Radiometer wind speeds. The spatial patterns of the SMAP SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features.

Original language	English (US)
Title of host publication	Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016
Editors	Oscar Aldred, Caroline Nichol, Charles R. Bostater, Xavier Neyt
Publisher	SPIE
ISBN (Electronic)	9781510604025
DOIs	https://doi.org/10.1117/12.2240710
State	Published - 2016
Event	Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016 - Edinburgh, United Kingdom Duration: Sep 26 2016 → Sep 27 2016

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9999
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Other

Other	Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016
Country/Territory	United Kingdom
City	Edinburgh
Period	9/26/16 → 9/27/16

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2240710

Cite this

Yueh, S., Fore, A., Tang, W., Hayashi, A., Stiles, B., Zhang, F., Weng, Y., & Real, N. (2016). Applications of SMAP data to retrieval of ocean surface wind and salinity. In O. Aldred, C. Nichol, C. R. Bostater, & X. Neyt (Eds.), Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016 Article 99990F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9999). SPIE. https://doi.org/10.1117/12.2240710

Yueh, Simon ; Fore, Alexander ; Tang, Wenqing et al. / Applications of SMAP data to retrieval of ocean surface wind and salinity. Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016. editor / Oscar Aldred ; Caroline Nichol ; Charles R. Bostater ; Xavier Neyt. SPIE, 2016. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{a49f8b09b81941b48a1d349f6ddf2cf1,

title = "Applications of SMAP data to retrieval of ocean surface wind and salinity",

abstract = "We have examined the L-band radiometer and radar data from NASA's Soil Moisture Active Passive (SMAP) mission for ocean research and applications. We find that the SMAP data are in excellent agreement with the geophysical model function (GMF) derived from the Aquarius data up to a wind speed of 20 ms-1. For severe wind conditions, the higher resolution data from SMAP allowed us to assess the sensitivity of L-band radiometer signals to hurricane force winds. We applied the L-band GMF to the retrieval of ocean surface wind and SSS from the SMAP data. Comparison with the European Center for Medium-Range Weather Forecasting, WindSat and RapidSCAT wind speeds suggests that SMAP's radiometer wind speed reaches an excellent accuracy of about 1.1-1.7 ms-1 below a wind speed of 20 ms-1. We have also found that the maximum wind speed derived from the SMAP radiometer data can reach 140 knots for severe storms and are generally in good agreement with the hurricane track analysis and operational aircraft Stepped Frequency Microwave Radiometer wind speeds. The spatial patterns of the SMAP SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features.",

author = "Simon Yueh and Alexander Fore and Wenqing Tang and Akiko Hayashi and Bryan Stiles and Fuqing Zhang and Yonghui Weng and Nicolas Real",

note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016 ; Conference date: 26-09-2016 Through 27-09-2016",

year = "2016",

doi = "10.1117/12.2240710",

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series = "Proceedings of SPIE - The International Society for Optical Engineering",

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Yueh, S, Fore, A, Tang, W, Hayashi, A, Stiles, B, Zhang, F, Weng, Y & Real, N 2016, Applications of SMAP data to retrieval of ocean surface wind and salinity. in O Aldred, C Nichol, CR Bostater & X Neyt (eds), Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016., 99990F, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9999, SPIE, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016, Edinburgh, United Kingdom, 9/26/16. https://doi.org/10.1117/12.2240710

Applications of SMAP data to retrieval of ocean surface wind and salinity. / Yueh, Simon; Fore, Alexander; Tang, Wenqing et al.
Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016. ed. / Oscar Aldred; Caroline Nichol; Charles R. Bostater; Xavier Neyt. SPIE, 2016. 99990F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9999).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Applications of SMAP data to retrieval of ocean surface wind and salinity

AU - Yueh, Simon

AU - Fore, Alexander

AU - Tang, Wenqing

AU - Hayashi, Akiko

AU - Stiles, Bryan

AU - Zhang, Fuqing

AU - Weng, Yonghui

AU - Real, Nicolas

PY - 2016

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N2 - We have examined the L-band radiometer and radar data from NASA's Soil Moisture Active Passive (SMAP) mission for ocean research and applications. We find that the SMAP data are in excellent agreement with the geophysical model function (GMF) derived from the Aquarius data up to a wind speed of 20 ms-1. For severe wind conditions, the higher resolution data from SMAP allowed us to assess the sensitivity of L-band radiometer signals to hurricane force winds. We applied the L-band GMF to the retrieval of ocean surface wind and SSS from the SMAP data. Comparison with the European Center for Medium-Range Weather Forecasting, WindSat and RapidSCAT wind speeds suggests that SMAP's radiometer wind speed reaches an excellent accuracy of about 1.1-1.7 ms-1 below a wind speed of 20 ms-1. We have also found that the maximum wind speed derived from the SMAP radiometer data can reach 140 knots for severe storms and are generally in good agreement with the hurricane track analysis and operational aircraft Stepped Frequency Microwave Radiometer wind speeds. The spatial patterns of the SMAP SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features.

AB - We have examined the L-band radiometer and radar data from NASA's Soil Moisture Active Passive (SMAP) mission for ocean research and applications. We find that the SMAP data are in excellent agreement with the geophysical model function (GMF) derived from the Aquarius data up to a wind speed of 20 ms-1. For severe wind conditions, the higher resolution data from SMAP allowed us to assess the sensitivity of L-band radiometer signals to hurricane force winds. We applied the L-band GMF to the retrieval of ocean surface wind and SSS from the SMAP data. Comparison with the European Center for Medium-Range Weather Forecasting, WindSat and RapidSCAT wind speeds suggests that SMAP's radiometer wind speed reaches an excellent accuracy of about 1.1-1.7 ms-1 below a wind speed of 20 ms-1. We have also found that the maximum wind speed derived from the SMAP radiometer data can reach 140 knots for severe storms and are generally in good agreement with the hurricane track analysis and operational aircraft Stepped Frequency Microwave Radiometer wind speeds. The spatial patterns of the SMAP SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features.

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M3 - Conference contribution

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BT - Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016

A2 - Aldred, Oscar

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PB - SPIE

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Yueh S, Fore A, Tang W, Hayashi A, Stiles B, Zhang F et al. Applications of SMAP data to retrieval of ocean surface wind and salinity. In Aldred O, Nichol C, Bostater CR, Neyt X, editors, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016. SPIE. 2016. 99990F. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2240710

Applications of SMAP data to retrieval of ocean surface wind and salinity

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