NDLI: A Wind and Rain Backscatter Model Derived From AMSR and SeaWinds Data

Content Provider	IEEE Xplore Digital Library
Author	Nielsen, S.N. Long, D.G.
Copyright Year	1980
Abstract	The SeaWinds scatterometer was originally designed to measure wind vectors over the ocean by exploiting the relationship between wind-induced surface roughening and the normalized radar backscatter cross section. Rain can degrade scatterometer wind estimation; however, the simultaneous wind/rain (SWR) algorithm was developed to enable SeaWinds to simultaneously retrieve wind and rain rate data. This algorithm is based on colocating data from the Precipitation Radar on the Tropical Rainfall Measuring Mission and SeaWinds on QuikSCAT. This paper develops a new wind and rain radar backscatter model for SWR using colocated data from the Advanced Microwave Scanning Radiometer (AMSR) and SeaWinds aboard the Advanced Earth Observing Satellite II. This paper accounts for rain height in the model in order to calculate surface rain rate from the integrated rain rate. The performance of SWR using the new wind/rain model is measured by comparison of wind vectors and rain rates to the previous SWR algorithm, AMSR rain rates, and National Center for Environmental Prediction numerical weather prediction winds. The new SWR algorithm produces more accurate rain estimates and improved winds, and detects rain with a low false alarm rate.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	1595
Ending Page	1606
Page Count	12
File Size	1147246
File Format	PDF
ISSN	01962892
Volume Number	47
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rain Backscatter Radar measurements Sea measurements Spaceborne radar Wind forecasting Sea surface Radar cross section Oceans Rough surfaces wind Atmospheric measurements rain scattering
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Simultaneous wind and rain retrieval using SeaWinds data

Measurements of the Effect of Rain-Induced Sea Surface Roughness on the QuikSCAT Scatterometer Radar Cross Section

Calibrating the Quikscat/SeaWinds Radar for measuring rainrate over the oceans

Retrieving ocean surface wind speed from the TRMM Precipitation Radar measurements

Assessing the quality of SeaWinds rain measurements

An advanced ambiguity selection algorithm for SeaWinds

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

Sea-Surface Current Features Observed by Doppler Radar

Impact of rain on spaceborne Ku-band wind scatterometer data

A Wind and Rain Backscatter Model Derived From AMSR and SeaWinds Data

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Calibrating the Quikscat/SeaWinds Radar for measuring rainrate over the oceans

Retrieving ocean surface wind speed from the TRMM Precipitation Radar measurements

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Impact of rain on spaceborne Ku-band wind scatterometer data

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