The High-Resolution Rapid Refresh (HRRR): an hourly updating convection-allowing forecast model. Part II: Forecast performance

EP James, CR Alexander, DC Dowell… - Weather and …, 2022 - journals.ametsoc.org
Abstract The High-Resolution Rapid Refresh (HRRR) is a convection-allowing
implementation of the Advanced Research version of the Weather Research and Forecast …

Increasing the accuracy and resolution of precipitation forecasts using deep generative models

I Price, S Rasp - International conference on artificial …, 2022 - proceedings.mlr.press
Accurately forecasting extreme rainfall is notoriously difficult, but is also ever more crucial for
society as climate change increases the frequency of such extremes. Global numerical …

Influence of the characteristics of weather information in a thunderstorm-related power outage prediction system

PL Watson, M Koukoula, E Anagnostou - Forecasting, 2021 - mdpi.com
Thunderstorms are one of the most damaging weather phenomena in the United States, but
they are also one of the least predictable. This unpredictable nature can make it especially …

The excessive rainfall outlook at the Weather Prediction Center: Operational definition, construction, and real-time collaboration

PC Burke, A Lamers, G Carbin… - Bulletin of the …, 2023 - journals.ametsoc.org
Abstract The Excessive Rainfall Outlook (ERO), issued operationally from the Weather
Prediction Center (WPC), serves the Weather and Water Enterprise and decision-makers …

An experimental 1-km Warn-on-Forecast System for hazardous weather events

Y Wang, N Yussouf, CA Kerr… - Monthly Weather …, 2022 - journals.ametsoc.org
Abstract An experimental Warn-on-Forecast System (WoFS) ensemble data assimilation
(DA) and prediction system at 1-km grid spacing is developed and tested using two …

Improving High-Resolution Ensemble Forecast (HREF) system mesoscale snowband forecasts with random forests

JT Radford, GM Lackmann - Weather and Forecasting, 2023 - journals.ametsoc.org
Mesoscale snowbands are impactful winter weather phenomena but are challenging to
predict due to small-scale forcings and ingredients. Previous work has established that even …

Assessing variations in the predictive skill of ensemble snowband forecasts with object-oriented verification and self-organizing maps

JT Radford, GM Lackmann - Weather and Forecasting, 2023 - journals.ametsoc.org
We used object-oriented verification and self-organizing maps (SOMs) to identify patterns in
environmental parameters correlating with mesoscale snowband predictive skill by the High …

High-resolution observations of a destructive macroburst

SJ Childs, RS Schumacher… - Monthly Weather …, 2021 - journals.ametsoc.org
Shortly after 0600 UTC (midnight MDT) 9 June 2020, a rapidly intensifying and elongating
convective system produced a macroburst and extensive damage in the town of Akron on …

Short-term Precipitation Forecasting with Deep Neural Nets

ST Norling - 2023 - duo.uio.no
Weather systems are highly chaotic processes affected by both large-and small-scale
atmospheric variations. Precipitation forecasting is a long-studied and challenging task …

[PDF][PDF] Influence of the Characteristics of Weather Information in a Thunderstorm-Related Power Outage Prediction System. Forecasting 2021, 3, 541–560

PL Watson, M Koukoula, E Anagnostou - Feature Papers of Forecasting …, 2021 - mdpi.com
Thunderstorms are one of the most damaging weather phenomena in the United States, but
they are also one of the least predictable. This unpredictable nature can make it especially …