Jamie Lahowetz

Jamie Lahowetz

  • Contact Information
  • My Story
  • Publications & Presentations
  • Background
  • Interests
  • Grants
  • Courses Taught
  • Outreach

Title AWDN Manager
Address 155 Hardin Hall
3310 Holdrege Street
Lincoln NE
68583-0931
Phone 402-472-6786
FAX 402-472-2946
E-mail jlahowetz2@unl.edu
Contact Preference

E Mail

n/a

Selected Publications

Houston, Adam L., Brian Argrow, Jack Elston, Jamie Lahowetz, Eric W. Frew, Patrick C. Kennedy, 2012: The Collaborative Colorado-Nebraska Unmanned Aircraft System Experiment. Bull. Amer. Meteor. Soc., 93, 39-54. Online

 

Selected Presentations

A technique for developing a US climatology of thunderstorms: The ThOR algorithm
  • Presentation Type: Oral Presentation
  • Date: 10/14/2010
  • Abstract: As ubiquitous as thunderstorms are, a climatology that characterizes their spatiotemporal distribution does not exist. The development of such a climatology is confounded by the complexity of identifying and tracking thunderstorms and the size of the data set required to undertake this task. Early attempts to develop climatologies for small regions of the US have relied on data with poor spatiotemporal resolution and/or thunderstorm proxies with large errors. A robust thunderstorm climatology requires a method for identifying and tracking thunderstorms that uses data with a fidelity that is capable of resolving thunderstorm structure and lifecycle. The Thunderstorm Observation by Radar (ThOR) algorithm was crafted to develop this climatology. ThOR identifies thunderstorms through synthesis of Level II radar data collected by NOAA's NEXRAD network of Doppler radars, cloud-to-ground lightning recorded by the National Lightning Detection Network (NLDN), and derived proximity vertical wind profiles from the NCEP North American Regional Reanalysis database. ThOR involves three principal steps: 1) cluster identification, 2) cluster tracking, and 3) lightning attribution. Cluster identification is the identification of coherent regions of precipitation apparent in regional mosaics of composite radar reflectivity. The w2segmotion tool within the Warning Decision Support System – Integrated Information (WDSS-II) system is used for this step. Cluster tracking is accomplished through a procedure developed by the authors. Lightning attribution is the final step toward identifying thunderstorms and is accomplished through a method developed by J. Lahowetz. The end result is a collection of thunderstorm tracks output in both tabular form and as GIS shapefiles. The performance of both the cluster identification and the cluster tracking within ThOR were scored using thunderstorm tracks synthesized from the manual analysis of a group of analysts. The algorithm was then applied to Great Plains thunderstorms between 2001 and 2009. Comparison was then made to several common proxies for thunderstorms that are based solely on cloud-to-ground lightning. A description of ThOR, an explanation of the verification, and preliminary results will be presented at the conference.
  • Full Citation:

SNR Mission Area(s)

  • Applied Climate and Spatial Science

Affiliations (index)

Areas of Interest

  • Severe Storms
  • Computer Science
  • Systems Development
  • Data Storage
  • Web Development
  • Meteorological/Climatological Information Networks
  • Application Development
  • Software Development
  • GIS

Currently this page only displays grants that were awarded on 1/1/2009 to the present. If a grant was awarded prior to 1/1/2009 and is still active, it will not be displayed on this page.

There no Grants found for this selection.