Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13982
DC FieldValueLanguage
dc.contributor.authorAhmad, Khalil A.-
dc.contributor.authorJones, W. Linwood-
dc.contributor.authorKasparis, Takis-
dc.date.accessioned2019-05-31T10:21:10Z-
dc.date.available2019-05-31T10:21:10Z-
dc.date.issued2004-12-27-
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS)en_US
dc.identifier.isbn0-7803-8742-2-
dc.description.abstractThe SeaWinds scatterometer onboard the QuikSCAT satellite simultaneously measures the polarized microwave brightness temperature of the ocean/ atmosphere. QuikSCAT Radiometer (QRad) brightness temperatures are used to infer instantaneous oceanic rain rates using a statistical retrieval algorithm that has been developed using collocated QRad brightness temperatures with TRMM Microwave Imager (TMI) rain rate measurements. The algorithm produces earth-located instantaneous rain rate binned in 0.5 hour universal time windows and produced on a 50-km earth grid. The orbit of QuikSCAT allows independent rain temporal sampling that can be used to improve the estimation of global rainfall in 3 hour windows, which is a goal of the future Global Precipitation Mission (GPM). In this paper, QRad retrieved rain rate examples are presented and comparisons are made with the TRMM 3B42RT near real time product. Results demonstrate that QRad rain measurements agree well with these independent microwave rain observations and superior to the visible/infrared rain estimates, which demonstrates the utility of adding QRad to the 3B42RT product.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rightsIEEEen_US
dc.titleApplication of QuikSCAT radiometer rain rates to near-real-time global precipitation estimates: A global precipitation mission pathfinderen_US
dc.typeConference Papersen_US
dc.collaborationUniversity of Central Floridaen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Geoscience and Remote Sensing Symposium (IGARSS)en_US
dc.identifier.doi10.1109/IGARSS.2004.1370476en_US
dc.identifier.scopus2-s2.0-15944400971-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/15944400971-
cut.common.academicyear2004-2005en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-3486-538x-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
CORE Recommender
Show simple item record

SCOPUSTM   
Citations 50

1
checked on Mar 14, 2024

Page view(s) 50

274
Last Week
4
Last month
10
checked on May 17, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.