An Active/Passive Microwave Retrieval Algorithm For Inferring Ocean Vector Winds From Trmm
Keywords
AV-H; GMF; Ocean wind vector; Precipitation Radar; TMI; wind direction retrieval
Abstract
This paper describes a novel ocean vector wind (OVW) retrieval algorithm that uses Ku-band Precipitation Radar (PR) and the multi-frequency TRMM Microwave Imager (TMI), both on board the Tropical Rainfall Measuring Mission (TRMM) satellite. The basis of this algorithm is the anisotropic nature of ocean backscatter (sig-0) and brightness temperature (Tb), which are used in a maximum likelihood estimation procedure to infer wind speed and wind direction. For this paper, we leverage from previous research that characterized the Geophysical Model Functions (GMF) for both TMI and PR observations. NOAA Numerical Weather Product (GDAS) was used as a nature run, to perform a Monte Carlo simulation to conduct trade studies and predict the OVW retrieval performance over the TRMM orbit. Examples of retrieved ocean winds and statistics of WS and WD differences are presented.
Publication Date
8-9-2018
Publication Title
15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings
Number of Pages
30-35
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/MICRORAD.2018.8430715
Copyright Status
Unknown
Socpus ID
85052926011 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85052926011
STARS Citation
Hossan, Alamgir; Jacob, Maria; Linwood Jones, W.; and Medrozo, Harriet, "An Active/Passive Microwave Retrieval Algorithm For Inferring Ocean Vector Winds From Trmm" (2018). Scopus Export 2015-2019. 9565.
https://stars.library.ucf.edu/scopus2015/9565