[HTML][HTML] The tornado warning process: A review of current research, challenges, and opportunities

J Brotzge, W Donner - Bulletin of the American Meteorological …, 2013 - journals.ametsoc.org
The Tornado Warning Process: A Review of Current Research, Challenges, and
Opportunities in: Bulletin of the American Meteorological Society Volume 94 Issue 11 (2013) …

[HTML][HTML] An overview of using weather radar for climatological studies: Successes, challenges, and potential

E Saltikoff, K Friedrich, J Soderholm… - Bulletin of the …, 2019 - journals.ametsoc.org
Weather radars have been widely used to detect and quantify precipitation and nowcast
severe weather for more than 50 years. Operational weather radars generate huge three …

[HTML][HTML] Using artificial intelligence to improve real-time decision-making for high-impact weather

A McGovern, KL Elmore, DJ Gagne… - Bulletin of the …, 2017 - journals.ametsoc.org
Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …

Multi-Radar Multi-Sensor (MRMS) severe weather and aviation products: Initial operating capabilities

TM Smith, V Lakshmanan, GJ Stumpf… - Bulletin of the …, 2016 - journals.ametsoc.org
Abstract The Multi-Radar Multi-Sensor (MRMS) system, which was developed at the
National Severe Storms Laboratory and the University of Oklahoma, was made operational …

[HTML][HTML] Object-based verification of a prototype Warn-on-Forecast system

PS Skinner, DM Wheatley… - Weather and …, 2018 - journals.ametsoc.org
Object-Based Verification of a Prototype Warn-on-Forecast System in: Weather and Forecasting
Volume 33 Issue 5 (2018) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …

[HTML][HTML] The ensemble Kalman filter analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell storm using single-and double-moment microphysics …

N Yussouf, ER Mansell, LJ Wicker… - Monthly Weather …, 2013 - journals.ametsoc.org
The Ensemble Kalman Filter Analyses and Forecasts of the 8 May 2003 Oklahoma City
Tornadic Supercell Storm Using Single- and Double-Moment Microphysics Schemes in: Monthly …

Using machine learning to generate storm-scale probabilistic guidance of severe weather hazards in the Warn-on-Forecast system

ML Flora, CK Potvin, PS Skinner… - Monthly Weather …, 2021 - journals.ametsoc.org
A primary goal of the National Oceanic and Atmospheric Administration Warn-on-Forecast
(WoF) project is to provide rapidly updating probabilistic guidance to human forecasters for …

[HTML][HTML] NOAA ProbSevere v2. 0—ProbHail, ProbWind, and ProbTor

JL Cintineo, MJ Pavolonis, JM Sieglaff… - Weather and …, 2020 - journals.ametsoc.org
NOAA ProbSevere v2.0—ProbHail, ProbWind, and ProbTor in: Weather and Forecasting
Volume 35 Issue 4 (2020) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …

[HTML][HTML] Unlocking the potential of NEXRAD data through NOAA's Big Data Partnership

S Ansari, S Del Greco, E Kearns… - Bulletin of the …, 2018 - journals.ametsoc.org
Abstract The National Oceanic and Atmospheric Administration's (NOAA) Big Data
Partnership (BDP) was established in April 2015 through cooperative research agreements …

Storm-scale data assimilation and ensemble forecasts for the 27 April 2011 severe weather outbreak in Alabama

N Yussouf, DC Dowell, LJ Wicker… - Monthly Weather …, 2015 - journals.ametsoc.org
As part of NOAA's Warn-on-Forecast (WoF) initiative, a multiscale ensemble-based
assimilation and prediction system is developed using the WRF-ARW model and DART …