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Technology / Interpolation / Wireless / DBZ / Weather radar / Decibel / Logarithmic scale / Linear interpolation / Smoothing / Measurement / Radar meteorology / Units of measure


Lakshmanan,V., 2012: Image processing of weather radar reflectivity data: Should it be done in Z or dBZ?, Electronic J. Severe Storms Meteor., 7 (3), 1–8. Image Processing of Weather Radar Reflectivity Data: Should It
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Document Date: 2012-04-23 11:11:23


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City

Long Beach / Norman / /

Company

Crane / Oklahoma & National Severe Storms Laboratory / /

Currency

pence / /

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Event

Person Communication and Meetings / Natural Disaster / /

Facility

University of Oklahoma Cooperative Agreement #NA11OAR4320072 / VALLIAPPA LAKSHMANAN Cooperative Institute of Mesoscale Meteorological Studies / University of Oklahoma / Laboratory J. / /

IndustryTerm

image processing / image processing operations / image processing filtering operations / machinery / signal processing / convective/stratiform precipitation classification algorithm / fuzzy logic algorithm / /

Organization

University of Oklahoma / office of Oceanic and Atmospheric Research / U.S. Department of Commerce / National Oceanic and Atmospheric Administration / VALLIAPPA LAKSHMANAN Cooperative Institute of Mesoscale Meteorological Studies / University of Oklahoma Cooperative Agreement #NA11OAR4320072 / /

Person

John Cintineo / Mark Askelson / J. Van Andel / Mario Majcen / David Dowell / S. Ellis / Kurt Hondl / Rodger Brown / /

Position

author / General / /

ProvinceOrState

Oklahoma / California / Arkansas / /

PublishedMedium

Atmospheric Research / /

Technology

convective/stratiform precipitation classification algorithm / Remote Sensing / fuzzy logic algorithm / WSR-88D algorithm / Image processing / /

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