| Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements MJ Pavolonis, AK Heidinger, J Sieglaff Journal of Geophysical Research: Atmospheres 118 (3), 1436-1458, 2013 | 134 | 2013 |
| Nowcasting convective storm initiation using satellite-based box-averaged cloud-top cooling and cloud-type trends JM Sieglaff, LM Cronce, WF Feltz, KM Bedka, MJ Pavolonis, AK Heidinger Journal of applied meteorology and climatology 50 (1), 110-126, 2011 | 128 | 2011 |
| An empirical model for assessing the severe weather potential of developing convection JL Cintineo, MJ Pavolonis, JM Sieglaff, DT Lindsey Weather and Forecasting 29 (3), 639-653, 2014 | 108 | 2014 |
| Validation of a large-scale simulated brightness temperature dataset using SEVIRI satellite observations JA Otkin, TJ Greenwald, J Sieglaff, HL Huang Journal of Applied Meteorology and Climatology 48 (8), 1613-1626, 2009 | 72 | 2009 |
| The NOAA/CIMSS ProbSevere model: Incorporation of total lightning and validation JL Cintineo, MJ Pavolonis, JM Sieglaff, DT Lindsey, L Cronce, J Gerth, ... Weather and Forecasting 33 (1), 331-345, 2018 | 68 | 2018 |
| NOAA ProbSevere v2. 0—ProbHail, ProbWind, and ProbTor JL Cintineo, MJ Pavolonis, JM Sieglaff, L Cronce, J Brunner Weather and Forecasting 35 (4), 1523-1543, 2020 | 64 | 2020 |
| Spectrally Enhanced Cloud Objects—A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 1. Multispectral analysis MJ Pavolonis, J Sieglaff, J Cintineo Journal of Geophysical Research: Atmospheres 120 (15), 7813-7841, 2015 | 61 | 2015 |
| Evolution of severe and nonsevere convection inferred from GOES-derived cloud properties JL Cintineo, MJ Pavolonis, JM Sieglaff, AK Heidinger Journal of Applied Meteorology and Climatology 52 (9), 2009-2023, 2013 | 58 | 2013 |
| A satellite-based convective cloud object tracking and multipurpose data fusion tool with application to developing convection JM Sieglaff, DC Hartung, WF Feltz, LM Cronce, V Lakshmanan Journal of Atmospheric and Oceanic Technology 30 (3), 510-525, 2013 | 51 | 2013 |
| A deep-learning model for automated detection of intense midlatitude convection using geostationary satellite images JL Cintineo, MJ Pavolonis, JM Sieglaff, A Wimmers, J Brunner, W Bellon Weather and Forecasting 35 (6), 2567-2588, 2020 | 48 | 2020 |
| Synthetic satellite imagery for real-time high-resolution model evaluation D Bikos, DT Lindsey, J Otkin, J Sieglaff, L Grasso, C Siewert, J Correia Jr, ... Weather and forecasting 27 (3), 784-795, 2012 | 47 | 2012 |
| Spectrally Enhanced Cloud Objects—A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 2. Cloud object … MJ Pavolonis, J Sieglaff, J Cintineo Journal of Geophysical Research: Atmospheres 120 (15), 7842-7870, 2015 | 42 | 2015 |
| Rapid refresh information of significant events: Preparing users for the next generation of geostationary operational satellites TJ Schmit, SJ Goodman, MM Gunshor, J Sieglaff, AK Heidinger, ... Bulletin of the American Meteorological Society 96 (4), 561-576, 2015 | 41 | 2015 |
| A robust method to forecast volcanic ash clouds RP Denlinger, M Pavolonis, J Sieglaff Journal of Geophysical Research: Atmospheres 117 (D13), 2012 | 39 | 2012 |
| Automated detection of explosive volcanic eruptions using satellite‐derived cloud vertical growth rates MJ Pavolonis, J Sieglaff, J Cintineo Earth and Space Science 5 (12), 903-928, 2018 | 38 | 2018 |
| Demonstration of a GOES-R satellite convective toolkit to “bridge the gap” between severe weather watches and warnings: An example from the 20 May 2013 Moore, Oklahoma, tornado … CM Gravelle, JR Mecikalski, WE Line, KM Bedka, RA Petersen, ... Bulletin of the American Meteorological Society 97 (1), 69-84, 2016 | 33 | 2016 |
| Seasonal analysis of cloud objects in the High-Resolution Rapid Refresh (HRRR) model using object-based verification SM Griffin, JA Otkin, CM Rozoff, JM Sieglaff, LM Cronce, CR Alexander, ... Journal of Applied Meteorology and Climatology 56 (8), 2317-2334, 2017 | 29 | 2017 |
| Methods for comparing simulated and observed satellite infrared brightness temperatures and what do they tell us? SM Griffin, JA Otkin, CM Rozoff, JM Sieglaff, LM Cronce, CR Alexander Weather and Forecasting 32 (1), 5-25, 2017 | 28 | 2017 |
| GOES-R Advanced Baseline Imager (ABI) algorithm theoretical basis document for volcanic ash (detection and height) M Pavolonis, J Sieglaff University of Wisconsin--Madison, 2010 | 24 | 2010 |
| Inferring convective weather characteristics with geostationary high spectral resolution IR window measurements: A look into the future JM Sieglaff, TJ Schmit, WP Menzel, SA Ackerman Journal of Atmospheric and Oceanic Technology 26 (8), 1527-1541, 2009 | 22 | 2009 |
