[HTML][HTML] Using artificial intelligence to improve real-time decision-making for high-impact weather
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 …
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …
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 …
[HTML][HTML] Storm-based probabilistic hail forecasting with machine learning applied to convection-allowing ensembles
Forecasting severe hail accurately requires predicting how well atmospheric conditions
support the development of thunderstorms, the growth of large hail, and the minimal loss of …
support the development of thunderstorms, the growth of large hail, and the minimal loss of …
Forecasting different types of convective weather: A deep learning approach
A deep learning objective forecasting solution for severe convective weather (SCW)
including short-duration heavy rain (HR), hail, convective gusts (CG), and thunderstorms …
including short-duration heavy rain (HR), hail, convective gusts (CG), and thunderstorms …
Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques
Lightning discharges in the atmosphere owe their existence to the combination of complex
dynamic and microphysical processes. Knowledge discovery and data mining methods can …
dynamic and microphysical processes. Knowledge discovery and data mining methods can …
Influences of CAPE on hail production in simulated supercell storms
Y Lin, MR Kumjian - Journal of the Atmospheric Sciences, 2022 - journals.ametsoc.org
Lasting updrafts are necessary to produce severe hail; conventional wisdom suggests that
extremely large hailstones require updrafts of commensurate strength. Because updraft …
extremely large hailstones require updrafts of commensurate strength. Because updraft …
An empirical model relating US monthly hail occurrence to large‐scale meteorological environment
An empirical model relating monthly hail occurrence to the large‐scale environment has
been developed and tested for the United States (US). Monthly hail occurrence for each grid …
been developed and tested for the United States (US). Monthly hail occurrence for each grid …
How many types of severe hailstorm environments are there globally?
Understanding how severe hailstorms will respond to climate change remains challenging
partially due to an incomplete understanding of how different environments produce hail …
partially due to an incomplete understanding of how different environments produce hail …
Application of machine learning to large hail prediction-The importance of radar reflectivity, lightning occurrence and convective parameters derived from ERA5
This study presents a concept for coupling remote sensing data and environmental variables
with machine learning techniques for the prediction of large hail events. In particular, we …
with machine learning techniques for the prediction of large hail events. In particular, we …
Application of random forest algorithm in hail forecasting over Shandong Peninsula
H Yao, X Li, H Pang, L Sheng, W Wang - Atmospheric research, 2020 - Elsevier
To improve the accuracy of hail forecasting, this study applies the random forest (RF)
algorithm in hail identification and prediction in Shandong Peninsula. Hail observation data …
algorithm in hail identification and prediction in Shandong Peninsula. Hail observation data …