[HTML][HTML] A review of machine learning for convective weather
We present an overview of recent work on using artificial intelligence (AI)/machine learning
(ML) techniques for forecasting convective weather and its associated hazards, including …
(ML) techniques for forecasting convective weather and its associated hazards, including …
Comparing explanation methods for traditional machine learning models part 1: an overview of current methods and quantifying their disagreement
With increasing interest in explaining machine learning (ML) models, the first part of this two-
part study synthesizes recent research on methods for explaining global and local aspects of …
part study synthesizes recent research on methods for explaining global and local aspects of …
[HTML][HTML] Using machine learning to generate storm-scale probabilistic guidance of severe weather hazards in the Warn-on-Forecast system
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 …
(WoF) project is to provide rapidly updating probabilistic guidance to human forecasters for …
[HTML][HTML] A machine learning explainability tutorial for atmospheric sciences
With increasing interest in explaining machine learning (ML) models, this paper synthesizes
many topics related to ML explainability. We distinguish explainability from interpretability …
many topics related to ML explainability. We distinguish explainability from interpretability …
[HTML][HTML] Quantification of NSSL Warn-on-Forecast System accuracy by storm age using object-based verification
Abstract The National Severe Storm Laboratory's Warn-on-Forecast System (WoFS) is a
convection-allowing ensemble with rapidly cycled data assimilation (DA) of various satellite …
convection-allowing ensemble with rapidly cycled data assimilation (DA) of various satellite …
[HTML][HTML] Warn-on-forecast system: From vision to reality
PL Heinselman, PC Burke, LJ Wicker… - Weather and …, 2024 - journals.ametsoc.org
In 2009, advancements in NWP and computing power inspired a vision to advance
hazardous weather warnings from a warn-on-detection to a warn-on-forecast paradigm. This …
hazardous weather warnings from a warn-on-detection to a warn-on-forecast paradigm. This …
[HTML][HTML] Exploring the usefulness of downscaling free forecasts from the Warn-on-Forecast System
Abstract The National Severe Storms Laboratory (NSSL) Warn-on-Forecast System (WoFS)
is an experimental real-time rapidly updating convection-allowing ensemble that provides …
is an experimental real-time rapidly updating convection-allowing ensemble that provides …
[HTML][HTML] Exploring the watch-to-warning space: Experimental outlook performance during the 2019 Spring Forecasting Experiment in NOAA's Hazardous Weather …
BT Gallo, KA Wilson, J Choate… - Weather and …, 2022 - journals.ametsoc.org
Abstract During the 2019 Spring Forecasting Experiment in NOAA's Hazardous Weather
Testbed, two NWS forecasters issued experimental probabilistic forecasts of hail, tornadoes …
Testbed, two NWS forecasters issued experimental probabilistic forecasts of hail, tornadoes …
[HTML][HTML] Object-based verification of GSI EnKF and hybrid En3DVar radar data assimilation and convection-allowing forecasts within a warn-on-forecast framework
Abstract The Center for Analysis and Prediction of Storms has recently developed
capabilities to directly assimilate radar reflectivity and radial velocity data within the GSI …
capabilities to directly assimilate radar reflectivity and radial velocity data within the GSI …
[HTML][HTML] Large-sample application of radar reflectivity object-based verification to evaluate HRRR warm-season forecasts
Abstract The Method of Object-based Diagnostic Evaluation (MODE) is used to perform an
object-based verification of approximately 1400 forecasts of composite reflectivity from the …
object-based verification of approximately 1400 forecasts of composite reflectivity from the …