[HTML][HTML] Interpretable deep learning for spatial analysis of severe hailstorms
Abadi, M., and Coauthors, 2016: Tensorflow: A system for large-scale machine learning.
Proc. 12th USENIX Symp. on Operating Systems Design and Implementation (OSDI'16) …
Proc. 12th USENIX Symp. on Operating Systems Design and Implementation (OSDI'16) …
Assessing the comparative effects of storm-relative helicity components within right-moving supercell environments
NA Goldacker, MD Parker - Journal of the Atmospheric …, 2023 - journals.ametsoc.org
Supercell thunderstorms develop low-level rotation via tilting of environmental horizontal
vorticity (ω h) by the updraft. This rotation induces dynamic lifting that can stretch near …
vorticity (ω h) by the updraft. This rotation induces dynamic lifting that can stretch near …
[HTML][HTML] Using near-ground storm relative helicity in supercell tornado forecasting
Using Near-Ground Storm Relative Helicity in Supercell Tornado Forecasting in: Weather and
Forecasting Volume 34 Issue 5 (2019) Jump to Content Jump to Main Navigation Logo Logo …
Forecasting Volume 34 Issue 5 (2019) Jump to Content Jump to Main Navigation Logo Logo …
Environmental controls on tornadoes and tornado outbreaks
E Tochimoto - Atmosphere-Ocean, 2022 - Taylor & Francis
In this article, the global climatology of tornadoes and current understanding of the synoptic-
and meso-scale environments of tornadoes and tornado outbreaks are reviewed. The study …
and meso-scale environments of tornadoes and tornado outbreaks are reviewed. The study …
A machine learning tutorial for operational meteorology. Part II: Neural networks and deep learning
Over the past decade the use of machine learning in meteorology has grown rapidly.
Specifically neural networks and deep learning have been used at an unprecedented rate …
Specifically neural networks and deep learning have been used at an unprecedented rate …
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 …
Tornadoes in Southeast South America: mesoscale to planetary-scale environments
D Veloso-Aguila, KL Rasmussen… - Monthly Weather …, 2024 - journals.ametsoc.org
A multiscale analysis of the environment supporting tornadoes in southeast South America
(SESA) was conducted based on a self-constructed database of 74 reports. Composites of …
(SESA) was conducted based on a self-constructed database of 74 reports. Composites of …
Characteristics of tornado events and warnings in the southeastern United States
AK Anderson-Frey, YP Richardson… - Weather and …, 2019 - journals.ametsoc.org
Abstract The southeastern United States has become a prime area of focus in tornado-
related literature due, in part, to the abundance of tornadoes occurring in high-shear low …
related literature due, in part, to the abundance of tornadoes occurring in high-shear low …
What is the intrinsic predictability of tornadic supercell thunderstorms?
PM Markowski - Monthly Weather Review, 2020 - journals.ametsoc.org
A 25-member ensemble of relatively high-resolution (75-m horizontal grid spacing)
numerical simulations of tornadic supercell storms is used to obtain insight on their intrinsic …
numerical simulations of tornadic supercell storms is used to obtain insight on their intrinsic …
Supercell low-level mesocyclones: Origins of inflow and vorticity
The development and intensification of low-level mesocyclones in supercell thunderstorms
have often been attributed, at least in part, to augmented streamwise vorticity generated …
have often been attributed, at least in part, to augmented streamwise vorticity generated …