The Resource Tests of quantitative precipitation estimates using national weather service dual-polarization radar in Missouri, by Mallory Lumpe

Tests of quantitative precipitation estimates using national weather service dual-polarization radar in Missouri, by Mallory Lumpe

Label
Tests of quantitative precipitation estimates using national weather service dual-polarization radar in Missouri
Title
Tests of quantitative precipitation estimates using national weather service dual-polarization radar in Missouri
Statement of responsibility
by Mallory Lumpe
Creator
Contributor
Author
Thesis advisor
Subject
Genre
Language
eng
Summary
Flash flooding is the most common and widespread threat associated with severe weather. Therefore, it is essential for forecasters to be able to properly assess the risk of flash flooding in order to issue watches and warnings. The underestimation of rainfall accumulation by radar algorithms often leads to undiagnosed flash flooding, so it is necessary to determine which type of quantitative precipitation estimation (QPE) equation best assesses the actual amount of rain that has fallen at a given location (Ryzhkov et al. 2005). By comparing the radar estimated rainfall to the accumulated precipitation measured by rain gauges, the bias and error of the QPE algorithms can be assessed. In the following study, these measurements will be compared for significant rainfall events that occurred across the state of Missouri in 2014. The data from twelve individual rain gauge sites, which are considered to provide the 2ground truth3 rainfall quantities (Kitchen and Blackall, 1992), are measured against the estimated rainfall calculated by the three National Weather Service radars. Also included is an analysis of whether gauge distance from the radar location has an effect on the error and bias. Various quality control (QC) methods are applied to the radar parameters in order to determine whether or not they enhance the outcomes of the statistical testing applied to the radar data. The results show that R(Z, ZDR) type equations produce the best data, as they give error and bias calculations closest to zero
Cataloging source
MUU
http://library.link/vocab/creatorName
Lumpe, Mallory
Degree
M.S.
Dissertation note
Thesis
Dissertation year
2015.
Government publication
government publication of a state province territory dependency etc
Granting institution
University of Missouri--Columbia
Illustrations
  • illustrations
  • maps
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorName
Fox, Neil I.
http://library.link/vocab/subjectName
  • Flood forecasting
  • Rain and rainfall
  • Weather forecasting
  • Missouri
Label
Tests of quantitative precipitation estimates using national weather service dual-polarization radar in Missouri, by Mallory Lumpe
Instantiates
Publication
Note
  • "A Thesis Presented to the Faculty of the Graduate School at the University of Missouri In Partial Fulfillment of the Requirements for the Degree Master of Science."
  • Thesis advisor: Dr. Neil Fox
Bibliography note
Includes bibliographical references (160-164 pages )
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
958425508
Extent
1 online resource (xi, 164 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations (chiefly color), map
Specific material designation
remote
System control number
(OCoLC)958425508
Label
Tests of quantitative precipitation estimates using national weather service dual-polarization radar in Missouri, by Mallory Lumpe
Publication
Note
  • "A Thesis Presented to the Faculty of the Graduate School at the University of Missouri In Partial Fulfillment of the Requirements for the Degree Master of Science."
  • Thesis advisor: Dr. Neil Fox
Bibliography note
Includes bibliographical references (160-164 pages )
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
958425508
Extent
1 online resource (xi, 164 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations (chiefly color), map
Specific material designation
remote
System control number
(OCoLC)958425508

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