Close proximity soundings within supercell environments obtained from the Rapid Update Cycle RL Thompson, R Edwards, JA Hart, KL Elmore, P Markowski Weather and Forecasting 18 (6), 1243-1261, 2003 | 934 | 2003 |
Making the black box more transparent: Understanding the physical implications of machine learning A McGovern, R Lagerquist, DJ Gagne, GE Jergensen, KL Elmore, ... Bulletin of the American Meteorological Society 100 (11), 2175-2199, 2019 | 419 | 2019 |
Using artificial intelligence to improve real-time decision-making for high-impact weather A McGovern, KL Elmore, DJ Gagne, SE Haupt, CD Karstens, R Lagerquist, ... Bulletin of the American Meteorological Society 98 (10), 2073-2090, 2017 | 405 | 2017 |
Euclidean distance as a similarity metric for principal component analysis KL Elmore, MB Richman Monthly weather review 129 (3), 540-549, 2001 | 178 | 2001 |
MPING: Crowd-sourcing weather reports for research KL Elmore, ZL Flamig, V Lakshmanan, BT Kaney, V Farmer, HD Reeves, ... Bulletin of the American Meteorological Society 95 (9), 1335-1342, 2014 | 161 | 2014 |
Assessing the impacts of proximity sounding criteria on the climatology of significant tornado environments CK Potvin, KL Elmore, SJ Weiss Weather and Forecasting 25 (3), 921-930, 2010 | 147 | 2010 |
The use of radial velocity derivatives to diagnose rotation and divergence TM Smith, KL Elmore Preprints, 11th Conf. on Aviation, Range, and Aerospace, Hyannis, MA, Amer …, 2004 | 113 | 2004 |
BT Smith, JS Grams, AR Dean, and C. Broyles, 2012: Convective modes for significant severe thunderstorms in the contiguous United States. Part II: Supercell and QLCS tornado … RL Thompson, R Edwards, JA Hart, KL Elmore, P Markowski, CM Mead Wea. Forecasting 27, 1136-1154, 0 | 111 | |
Evaluation of WRF model output for severe weather forecasting from the 2008 NOAA Hazardous Weather Testbed Spring Experiment MC Coniglio, KL Elmore, JS Kain, SJ Weiss, M Xue, ML Weisman Weather and Forecasting 25 (2), 408-427, 2010 | 100 | 2010 |
Sources of uncertainty in precipitation-type forecasting HD Reeves, KL Elmore, A Ryzhkov, T Schuur, J Krause Weather and forecasting 29 (4), 936-953, 2014 | 79 | 2014 |
Tornado outbreaks associated with landfalling hurricanes in the North Atlantic Basin: 1954–2004 SM Verbout, DM Schultz, LM Leslie, HE Brooks, DJ Karoly, KL Elmore Meteorology and atmospheric physics 97, 255-271, 2007 | 68 | 2007 |
A damaging downburst prediction and detection algorithm for the WSR-88D TM Smith, KL Elmore, SA Dulin Weather and forecasting 19 (2), 240-250, 2004 | 63 | 2004 |
Alternatives to the chi-square test for evaluating rank histograms from ensemble forecasts KL Elmore Weather and forecasting 20 (5), 789-795, 2005 | 61 | 2005 |
On the use of unmanned aircraft for sampling mesoscale phenomena in the preconvective boundary layer SE Koch, M Fengler, PB Chilson, KL Elmore, B Argrow, DL Andra Jr, ... Journal of Atmospheric and Oceanic Technology 35 (11), 2265-2288, 2018 | 57 | 2018 |
3DVAR versus traditional dual-Doppler wind retrievals of a simulated supercell thunderstorm CK Potvin, D Betten, LJ Wicker, KL Elmore, MI Biggerstaff Monthly Weather Review 140 (11), 3487-3494, 2012 | 51 | 2012 |
Field significance revisited: Spatial bias errors in forecasts as applied to the Eta Model KL Elmore, ME Baldwin, DM Schultz Monthly Weather Review 134 (2), 519-531, 2006 | 50 | 2006 |
Verifying forecast precipitation type with mPING KL Elmore, HM Grams, D Apps, HD Reeves Weather and Forecasting 30 (3), 656-667, 2015 | 48 | 2015 |
Explicit cloud-scale models for operational forecasts: A note of caution KL Elmore, DJ Stensrud, KC Crawford Weather and forecasting 17 (4), 873-884, 2002 | 45 | 2002 |
The NSSL hydrometeor classification algorithm in winter surface precipitation: Evaluation and future development KL Elmore Weather and forecasting 26 (5), 756-765, 2011 | 40 | 2011 |
Radar reflectivity–derived thunderstorm parameters applied to storm longevity forecasting PL MacKeen, HE Brooks, KL Elmore Weather and forecasting 14 (2), 289-295, 1999 | 36 | 1999 |