DocumentCode
484076
Title
Rain and Wind Estimation from Seawinds in Hurricanes at Ultra High Resolution
Author
Williams, Brent A. ; Long, David G.
Author_Institution
MERS Lab., Brigham Young Univ., Provo, UT
Volume
2
fYear
2008
fDate
7-11 July 2008
Abstract
A Bayesian method for estimating wind and rain in hurricanes from SeaWinds at ultra-high resolution is developed. We use a hurricane model to generate prior distributions for the wind speed, wind direction, and rain rate. The rain prior is derived from data from the Tropical Rainfall Measuring Mission Precipitation Radar (TRMM-PR). The new method reduces the variability of the standard simultaneous wind and rain estimates while preserving meso-scale detail.
Keywords
Bayes methods; atmospheric techniques; geophysical signal processing; rain; remote sensing by radar; storms; wind; Bayesian method; SeaWinds; TRMM-PR; Tropical Rainfall Measuring Mission Precipitation Radar; hurricanes; mesoscale event; rain rate; ultra high resolution; wind direction; wind speed; Backscatter; Bayesian methods; Geophysical measurements; Hurricanes; Maximum likelihood estimation; Polarization; Pollution measurement; Radar measurements; Rain; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779080
Filename
4779080
Link To Document