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John Allen
标题
引用次数
年份
Cell Mergers, Boundary Interactions, and Convective Systems in Cases of Significant Tornadoes and Hail
CJ Nixon, JT Allen, MB Wilson, MJ Bunkers, M Taszarek
Weather and Forecasting, 2024
2024
An Improved Deep Learning Algorithm for Operational Detection of Frontal Boundaries
AD Justin, A McGovern, JT Allen, JK Williams
104th AMS Annual Meeting, 2024
2024
How Skillful are the CMIP6 Models in Capturing Severe Thunderstorm Environments Over the United States?
D Gopalakrishnan, C Cuervo-Lopez, JT Allen, RJ Trapp, E Robinson
104th AMS Annual Meeting, 2024
2024
Future Changes in Severe Thunderstorm Environments Over the United States: A Synoptic-Scale Approach
D Gopalakrishnan, JT Allen, RJ Trapp, E Robinson
104th AMS Annual Meeting, 2024
2024
Meteotsunami on Lake Michigan: Trends and Teleconnections
DB Kluver, W Robertson, EJ Anderson, JT Allen
104th AMS Annual Meeting, 2024
2024
Comparative Analysis of ERA5 Model Levels and Pressure Levels Over the Continental US
CMC López, JT Allen, M Taszarek
104th AMS Annual Meeting, 2024
2024
Future changes in severe thunderstorm environments over the United States from CMIP6 models
D Gopalakrishnan, JT Allen, RJ Trapp, E Robinson
AGU Fall Meeting Abstracts 2023 (278), A33R-278, 2023
2023
Evaluation of the skill of CMIP6 models in capturing severe thunderstorm environments over the United States
D Gopalakrishnan, C Cuervo-Lopez, JT Allen, RJ Trapp, E Robinson
AGU Fall Meeting Abstracts 2023, A32H-08, 2023
2023
Environment-informed, convection-permitting dynamical downscaling for climate-change projections of hazardous convective weather
RJ Trapp, S Wang, JT Allen, D Gopalakrishnan, E Robinson
AGU Fall Meeting Abstracts 2023 (2539), A31L-2539, 2023
2023
Hodographs and Skew T s of Hail-Producing Storms
CJ Nixon, JT Allen, M Taszarek
Weather and Forecasting 38 (11), 2217-2236, 2023
42023
Discriminant analysis for severe storm environments in south-central Brazil
LO Dos Santos, EL Nascimento, JT Allen
Monthly Weather Review 151 (10), 2659-2681, 2023
52023
Deriving Severe Hail Likelihood from Satellite Observations and Model Reanalysis Parameters Using a Deep Neural Network
B Scarino, K Itterly, K Bedka, CR Homeyer, J Allen, S Bang, D Cecil
Artificial Intelligence for the Earth Systems 2 (4), 220042, 2023
62023
Improving the Prediction and Discernment of Frontal Boundaries with Deep Learning
AD Justin, A McGovern, JT Allen
32nd Conference on Weather Analysis and Forecasting (WAF)/28th Conference on …, 2023
2023
Evaluation of the Evolution of Severe Storm Environments through Use of the Lapse Rate Tendency Equation
AG Rosales, JT Allen
32nd Conference on Weather Analysis and Forecasting (WAF)/28th Conference on …, 2023
2023
Synoptic and Mesoscale Environment Variability of US Large Hail Events
JT Allen, CJ Nixon, KJ Gillett
32nd Conference on Weather Analysis and Forecasting (WAF)/28th Conference on …, 2023
2023
Toward operational real-time identification of frontal boundaries using machine learning
AD Justin, C Willingham, A McGovern, JT Allen
Artificial Intelligence for the Earth Systems 2 (3), e220052, 2023
52023
Do severe storms across Australia, Europe and the United States share similarities? A comparison of atmospheric profiles and environmental predictors
M Taszarek, J Allen, C Nixon, A Dowdy, F Battaglioli
EMS2023, 2023
2023
Comment–reply exchanges: Trends and suggestions
M Bunkers, J Allen, W Ashley, S Bieda, K Calhoun, B Kirtman, K Kosiba, ...
Weather and Forecasting 38 (5), 633-636, 2023
12023
Does Low-level Vertical Wind Shear Matter for Hail Production?
M Kumjian, K Lombardo, C Nixon, J Allen
ECSS2023, 2023
12023
Hodographs and Skew-Ts of Hail-Producing Supercells
C Nixon, J Allen
ECSS2023, 2023
2023
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