Validation of ocean wind vector retrievals from WindSat polarimetric measurements

Zorana Jelenak; Timothy P. Mavor; Laurence Connor; Nai Yu Wang; Paul Chang; Peter Gaiser

doi:10.1117/12.578828

Validation of ocean wind vector retrievals from WindSat polarimetric measurements

Zorana Jelenak
, Timothy P. Mavor
, Laurence Connor
, Nai Yu Wang
, Paul Chang
, Peter Gaiser

Cooperative Programs for the Advancement of Earth System Science

National Oceanic and Atmospheric Administration
STG Inc.
University Corporation For Atmospheric Res
Naval Research Laboratory

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

Using several months of WindSat measurements collocated with the NCEP Global Data Assimilation System model field, the Special Sensor Microwave Imager (SSM/I) measurements and QuikScat scatterometry measurements, we have derived an empirical geophysical model that describes radiometric vector for all WindSat channels, as a function of surface parameters: wind speed, wind direction and sea surface temperature, and atmospheric parameters: total precipitable water and cloud liquid water. This model function was then used to develop an ocean surface wind vector retrieval algorithm from WindSat polarimetric measurements. The accuracy of the retrieved wind vectors was quantified using several months of WindSat measurements collocated with the Special Sensor Microwave Imager (SSM/I) measurements and QuikSCAT scatterometry measurements.

Original language	English
Article number	14
Pages (from-to)	111-121
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5656
DOIs	https://doi.org/10.1117/12.578828
State	Published - 2005
Event	Active and Passive Remote Sensing of the Oceans - Honolulu, HI, United States Duration: Nov 8 2004 → Nov 9 2004

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title = "Validation of ocean wind vector retrievals from WindSat polarimetric measurements",

abstract = "Using several months of WindSat measurements collocated with the NCEP Global Data Assimilation System model field, the Special Sensor Microwave Imager (SSM/I) measurements and QuikScat scatterometry measurements, we have derived an empirical geophysical model that describes radiometric vector for all WindSat channels, as a function of surface parameters: wind speed, wind direction and sea surface temperature, and atmospheric parameters: total precipitable water and cloud liquid water. This model function was then used to develop an ocean surface wind vector retrieval algorithm from WindSat polarimetric measurements. The accuracy of the retrieved wind vectors was quantified using several months of WindSat measurements collocated with the Special Sensor Microwave Imager (SSM/I) measurements and QuikSCAT scatterometry measurements.",

author = "Zorana Jelenak and Mavor, \{Timothy P.\} and Laurence Connor and Wang, \{Nai Yu\} and Paul Chang and Peter Gaiser",

year = "2005",

doi = "10.1117/12.578828",

language = "English",

volume = "5656",

pages = "111--121",

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

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publisher = "SPIE",

note = "Active and Passive Remote Sensing of the Oceans ; Conference date: 08-11-2004 Through 09-11-2004",

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TY - JOUR

T1 - Validation of ocean wind vector retrievals from WindSat polarimetric measurements

AU - Jelenak, Zorana

AU - Mavor, Timothy P.

AU - Connor, Laurence

AU - Wang, Nai Yu

AU - Chang, Paul

AU - Gaiser, Peter

PY - 2005

Y1 - 2005

N2 - Using several months of WindSat measurements collocated with the NCEP Global Data Assimilation System model field, the Special Sensor Microwave Imager (SSM/I) measurements and QuikScat scatterometry measurements, we have derived an empirical geophysical model that describes radiometric vector for all WindSat channels, as a function of surface parameters: wind speed, wind direction and sea surface temperature, and atmospheric parameters: total precipitable water and cloud liquid water. This model function was then used to develop an ocean surface wind vector retrieval algorithm from WindSat polarimetric measurements. The accuracy of the retrieved wind vectors was quantified using several months of WindSat measurements collocated with the Special Sensor Microwave Imager (SSM/I) measurements and QuikSCAT scatterometry measurements.

AB - Using several months of WindSat measurements collocated with the NCEP Global Data Assimilation System model field, the Special Sensor Microwave Imager (SSM/I) measurements and QuikScat scatterometry measurements, we have derived an empirical geophysical model that describes radiometric vector for all WindSat channels, as a function of surface parameters: wind speed, wind direction and sea surface temperature, and atmospheric parameters: total precipitable water and cloud liquid water. This model function was then used to develop an ocean surface wind vector retrieval algorithm from WindSat polarimetric measurements. The accuracy of the retrieved wind vectors was quantified using several months of WindSat measurements collocated with the Special Sensor Microwave Imager (SSM/I) measurements and QuikSCAT scatterometry measurements.

UR - https://www.scopus.com/pages/publications/20344401859

U2 - 10.1117/12.578828

DO - 10.1117/12.578828

M3 - Conference article

AN - SCOPUS:20344401859

SN - 0277-786X

VL - 5656

SP - 111

EP - 121

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 14

T2 - Active and Passive Remote Sensing of the Oceans

Y2 - 8 November 2004 through 9 November 2004

ER -

Validation of ocean wind vector retrievals from WindSat polarimetric measurements

Abstract

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