Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning

Enhanced spatiotemporal relational probability trees and forests

(2012) Amy McGovern et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Tornadic Supercell Environments Analyzed Using Surface and Reanalysis Data: A Spatiotemporal Relational Data-Mining Approach

(2012) David John Gagne et al.   Journal of Applied Meteorology and Climatology

Recent Advances in the Understanding of Near-Cloud Turbulence

(2011) Todd P. Lane et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

An Overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment

(2011) Adam J. Clark et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Using spatiotemporal relational random forests to improve our understanding of severe weather processes

(2011) Amy McGovern et al.   Statistical Analysis and Data Mining

Convective-Scale Warn-on-Forecast System

(2009) David J. Stensrud et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Effects of microphysical drop size distribution on tornadogenesis in supercell thunderstorms

(2008) Nathan Snook et al.   GEOPHYSICAL RESEARCH LETTERS

A Geographic Information Systems–Based Analysis of Supercells across Oklahoma from 1994 to 2003

(2008) James E. Hocker et al.   Journal of Applied Meteorology and Climatology

Can a Descending Rain Curtain in a Supercell Instigate Tornadogenesis Barotropically?

(2008) Robert Davies-Jones   JOURNAL OF THE ATMOSPHERIC SCIENCES

A time-split nonhydrostatic atmospheric model for weather research and forecasting applications

(2007) William C. Skamarock et al.   JOURNAL OF COMPUTATIONAL PHYSICS