NSSL scientists given special recognition for book

NSSL’s John Lewis along with S. Lakshmivarahan and Sudarshan Dhall of OU/NOAA Cooperative Institute for Mesoscale Meteorological Studies were given special recognition by OAR for their book Dynamic Data Assimilation: A Least Squares Approach, Cambridge University Press, 2006.

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to make predictions about how a complex physical system will behave. This book is designed to be a basic one-stop reference for graduate students and researchers based on graduate courses taught over a decade to mathematicians, scientists, and engineers.

Background: The OAR award honors the most original, important, useful, and outstanding peer-reviewed publications from OAR laboratories and Cooperative Institutes.

Significance: Quality scientific publications are a measure of the effectiveness of preeminent research.

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NSSL scientists recognized by OAR for Outstanding Scientific Paper

The OAR Outstanding Scientific Paper Award was given to NSSL’s Alexander Ryzhkov, Terry Schuur, Don Burgess, Pam Heinselman, Scott Giangrande and Dusan Zrnic for their paper on “The Joint Polarization Experiment: Polarimetric Rainfall Measurements and Hydrometeor Classification.”

The paper was the cover story published in the Bulletin of the American Meteorological Society in June, 2005 with the lead, “Window on the Weather: Testing the Polarimetric WSR-88D.”

The winning paper described the advantages of a polarimetric WSR-88D, confirmed during the Joint Polarization Experiment (JPOLE) demonstration project in Oklahoma. The OAR award honors the most original, important, useful, and outstanding peer-reviewed publications from OAR laboratories and Cooperative Institutes.

Background: NSSL conducted the Joint Polarization Experiment (JPOLE) in 2002-2003 to demonstrate the operational capabilities of a polarimetric Doppler radar. JPOLE proved that significant improvements in rainfall estimation, precipitation classification, data quality and weather hazard detection were possible using polarized radar.

Significance: The entire national NEXRAD radar network will be upgraded in 2010-2011 with dual-polarization capability extending its functionality and effectiveness.

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Third Annual National Weather Festival

NSSL is preparing for the third annual National Weather Festival held at the National Weather Center in Norman, OK. The event is planned for this coming Saturday, October 20, 2007 from 9 a.m. – 1 p.m.

An estimated 3,000 people turned out last year for the free festival sponsored by the Norman Chamber of Commerce Weather Committee, the University of Oklahoma weather units and the NOAA Weather Partners. Organizers declared the event a complete success in reaching out to the community.

The National Weather Festival features tours of the National Weather Center. Visitors will be able to view displays by local weather organizations and businesses, weather related seminars, the new Science on a Sphere display, and the second annual Storm Chaser Car Show. Children’s activities, hourly weather balloon launches and an amateur radio demonstration are also planned.

This year’s festival has an historical emphasis, with information about NOAA”s 200th Celebration and Oklahoma’s Centennial.

Background: The National Weather Festival aims to provide an opportunity for the community to learn about operational weather activities, current research and to promote interest in weather to people of all ages.

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NSSL’s new radar “slice and dice” tool helps in storm warnings

NSSL’s prototype Four-Dimensional Stormcell Investigator (FSI), a 3D/4D base radar data display tool, was alpha-tested in three NWS Weather Forecast Offices (WFOs) this summer – Melbourne, Fla., Omaha, Neb., and Huntsville, Ala. FSI is based on NSSL’s Warning Decision Support System – Integrated Information (WDSS-II), and allows users to create and manipulate dynamic cross-sections (both vertical and at constant altitude). Forecasters can “slice and dice” storms and view these data in three dimensions and across time.

Feedback was positive – with one forecaster commenting: “Overall, we found the FSI utility to be quite useful in the Warning Decision Making process. Specifically, the cross-section and 3D display capabilities did a very nice job showing the intensifying structure and increasing hail potential with the storm that tracked through Madison County.”

FSI will be implemented at all WFOs in AWIPS Build OB8.2 from Dec. 07 through Mar. 08.

Background: The FSI is one of the many activities being coordinated between NSSL and the NWS Meteorological Development Laboratory to assist NWS meteorologists in making hazardous weather warning decisions.

Significance: This is another successful example of OAR research transferred to NWS operations.


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