A review of principal component analysis algorithm for dimensionality reduction

BMS Hasan, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Big databases are increasingly widespread and are therefore hard to understand, in
exploratory biomedicine science, big data in health research is highly exciting because data …

The formation, character and changing nature of mesoscale convective systems

RS Schumacher, KL Rasmussen - Nature Reviews Earth & …, 2020 - nature.com
Mesoscale convective systems (MCSs) describe organized groupings of thunderstorms in
the tropics and mid-latitudes that span thousands of square kilometres. While recognized for …

[HTML][HTML] The future of supercells in the United States

WS Ashley, AM Haberlie… - Bulletin of the American …, 2023 - journals.ametsoc.org
A supercell is a distinct type of intense, long-lived thunderstorm that is defined by its quasi-
steady, rotating updraft. Supercells are responsible for most damaging hail and deadly …

[HTML][HTML] Machine learning classification of significant tornadoes and hail in the United States using ERA5 proximity soundings

VA Gensini, C Converse, WS Ashley… - Weather and …, 2021 - journals.ametsoc.org
Previous studies have identified environmental characteristics that skillfully discriminate
between severe and significant-severe weather events, but they have largely been limited …

Development and investigation of GridRad-severe, a multiyear severe event radar dataset

AM Murphy, CR Homeyer… - Monthly Weather Review, 2023 - journals.ametsoc.org
Many studies have aimed to identify novel storm characteristics that are indicative of current
or future severe weather potential using a combination of ground-based radar observations …

Diagnosing storm mode with deep learning in convection-allowing models

RA Sobash, DJ Gagne, CL Becker… - Monthly Weather …, 2023 - journals.ametsoc.org
While convective storm mode is explicitly depicted in convection-allowing model (CAM)
output, subjectively diagnosing mode in large volumes of CAM forecasts can be …

[HTML][HTML] A comparison of neural-network and surrogate-severe probabilistic convective hazard guidance derived from a convection-allowing model

RA Sobash, GS Romine… - Weather and …, 2020 - journals.ametsoc.org
A feed-forward neural network (NN) was trained to produce gridded probabilistic convective
hazard predictions over the contiguous United States. Input fields to the NN included 174 …

The precipitation characteristics of mesoscale convective systems over Europe

NA Da Silva, JO Haerter - Journal of Geophysical Research …, 2023 - Wiley Online Library
Mesoscale convective systems (MCSs) are common over Europe and can produce severe
weather, including extreme precipitation that leads to flash floods. The few studies analyzing …

[HTML][HTML] Assessment of NWS county warning area tornado risk, exposure, and vulnerability

SM Strader, AM Haberlie… - Weather, climate, and …, 2021 - journals.ametsoc.org
This study investigates the interrelationships between National Weather Service (NWS)
county warning area (CWA) tornado risk, exposure, and societal vulnerability. CWA …

[HTML][HTML] Quantification of QLCS tornadogenesis, associated characteristics, and environments across a large sample

JS Goodnight, DA Chehak… - Weather and …, 2022 - journals.ametsoc.org
The skillful anticipation of tornadoes produced by quasi-linear convective systems (QLCSs)
is a well-known forecasting challenge. This study was motivated by the possibility that …