Search

Advanced Search

Find results with:

Add another field

Search by date

to

Searching collections:

Institutional Repository

Add or remove collections

Home An analysis of SeaWinds-based rain retrieval in severe weather events

Rate

To link to this object, paste this link in email, IM or document

To embed this object, paste this HTML in website

An analysis of SeaWinds-based rain retrieval in severe weather events

View Description

Download

small (250x250 max)

medium (500x500 max)

large ( > 500x500)

Full Resolution

Print

PDF
Text

Description

Rating
Permanent URL	http://hdl.lib.byu.edu/1877/1015
Title	An analysis of SeaWinds-based rain retrieval in severe weather events
BYU Creator	Long, David G. Allen, Jeffrey R.
Keywords	Next Generation Weather Radar (NEXRAD); QuikSCAT; SeaWinds; rain; scatterometer; simultaneous wind/rain retrieval; water
Description/Abstract	The Ku-band SeaWinds scatterometer estimates near-surface ocean wind vectors by relating measured backscatter to a geophysical model function for the near-surface vector wind. The conventional wind retrieval algorithm does not explicitly account for SeaWinds' sensitivity to rain, resulting in rain-caused wind retrieval error. A new retrieval method, termed "simultaneous wind/rain retrieval" that estimates both wind and rain from rain-contaminated measurements has been previously proposed and validated with Tropical Rain Measuring Mission data. Here, the accuracy of rains retrieved by the new method is validated through comparison with the Next Generation Weather Radar (NEXRAD) in coastal storm events. The rains detected by both sensors are comparable, though SeaWinds-estimated rains exhibit greater variability. The performance of simultaneous wind/rain retrieval in flagging excessively rain-contaminated winds is discussed and compared to existing methods. A new rain-only retrieval algorithm for use in rain-backscatter-dominated areas is proposed and tested. A simple noise model for SeaWinds rain estimates is developed, and Monte Carlo simulation is employed to verify the model. The model shows that SeaWinds rain estimates have a standard deviation of 2.5 mm/h, which is higher than the NEXRAD measurements. Thresholding SeaWinds rain estimates at 2 mm/h yields a better rain flag than current rain flag algorithms.
Source	Allen, J. R., and D. G. Long. "An Analysis of SeaWinds-Based Rain Retrieval in Severe Weather Events." Geoscience and Remote Sensing, IEEE Transactions on 43.12 (2005): 2870-8;
Publisher	IEEE
Date Original	2005-12
Language	English eng en
Publication Type	Peer-Reviewed Articles
Type	Text
Format	application/pdf
Owning Institution	Brigham Young University
BYU College	Ira A. Fulton College of Engineering and Technology
BYU Department	Electrical and Computer Engineering
Copyright Status	(c) 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.;
Copyright Use Information	http://www.lib.byu.edu/generic_copyright.html

Tags

Add tags for An analysis of SeaWinds-based rain retrieval in severe weather events

View as list | View as tag cloud | report abuse

Comments

Post a Comment for An analysis of SeaWinds-based rain retrieval in severe weather events

you wish to report:

Your comment:

Your Name:

Submit

Cancel

...

Powered by CONTENTdm®