Ocean Vector Wind Retrievals From TRMM Using a Novel Combined Active/Passive Algorithm

This article presents a novel ocean vector wind (OVW) retrieval algorithm for remote sensing of ocean winds, using the precipitation radar (PR) and tropical rainfall measurement mission (TRMM) microwave imager (TMI) that operated for >17 years on the TRMM observatory. In this study, the wind spee...

Full description

Saved in:
Bibliographic Details
Published in:IEEE journal of selected topics in applied earth observations and remote sensing 2020, Vol.13, p.5569-5579
Main Authors: Hossan, Alamgir, Jacob, Maria Marta, Jones, W. Linwood
Format: Article
Language:English
Subjects:
Active and passive remote sensing
Algorithms
Anisotropy
Atmospheric models
AV-H
Backscatter
Backscattering
Brightness temperature
Extraterrestrial measurements
Feasibility studies
geophysical model function (GMF)
Linear polarization
Meteorological satellites
microwave imager (TMI)
Ocean surface
ocean surface wind vector
Ocean temperature
Parameter modification
Retrieval
Sea measurements
Sea surface
Statistical analysis
Statistical methods
Stokes parameters
Surface radiation temperature
Surface wind
tropical rainfall measurement mission (TRMM) precipitation radar (PR)
Vectors
Weather
Wind
Wind direction
Wind speed
Wind vectors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article presents a novel ocean vector wind (OVW) retrieval algorithm for remote sensing of ocean winds, using the precipitation radar (PR) and tropical rainfall measurement mission (TRMM) microwave imager (TMI) that operated for >17 years on the TRMM observatory. In this study, the wind speed and anisotropic wind direction (WD) characteristics of the ocean backscatter and brightness temperature (Tb) were empirically characterized to produce geophysical model functions for 49 PR beam positions and three TMI frequency channels (10, 19, and 37 GHz). For passive TMI measurements, the modified second stokes parameter (weighted difference of V and H-pol Tb's) was used to cancel the atmosphere contribution, which enhances the WD signal. Thus, combining linearly polarized Tb measurements with the anisotropic backscatter signature of the Ku-band PR, the feasibility of retrieving ocean surface wind vector is demonstrated. The OVW retrieval algorithm is validated by comparing retrievals with collocated numerical weather models wind vectors, and the statistics of OVW retrieval accuracy is presented.
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2020.3023720