TAMS: a tracking, classifying, and variable-assigning algorithm for mesoscale convective systems in simulated and satellite-derived datasets

KM Núñez Ocasio, ZL Moon - Geoscientific Model …, 2024 - gmd.copernicus.org
Abstract The Tracking Algorithm for Mesoscale Convective Systems (TAMS) is a tracking,
classifying, and variable-assigning algorithm for mesoscale convective systems (MCSs) …

Lightning and Radar Measures of Mixed-Phase Updraft Variability in Tracked Storms during the TRACER Field Campaign in Houston, Texas

EC Bruning, KN Brunner… - Monthly Weather …, 2024 - journals.ametsoc.org
Abstract Properties of 7488 thunderstorms are summarized for June–September 2022
during the Tracking Aerosol Convection Interactions Experiment (TRACER) field campaign …

Unclouding the correlations: A principal component analysis of convective environments

RM Schulte, RJ Chase, B Dolan… - Geophysical …, 2024 - Wiley Online Library
In this study, we leverage 25 years of observations from spaceborne radars, along with
coincident reanalysis data, to determine how the depth and width of precipitating convective …

Lifecycle of updrafts and mass flux in isolated deep convection over the Amazon rainforest: insights from cell tracking

S Gupta, D Wang, SE Giangrande… - Atmospheric …, 2024 - acp.copernicus.org
Long-term observations of deep convective cloud (DCC) vertical velocity and mass flux were
collected during the Observations and Modelling of the Green Ocean Amazon …

Km‐scale simulations of mesoscale convective systems over South America—A feature tracker intercomparison

AF Prein, Z Feng, T Fiolleau, ZL Moon… - Journal of …, 2024 - Wiley Online Library
Mesoscale convective systems (MCSs) are clusters of thunderstorms that are important in
Earth's water and energy cycle. Additionally, they are responsible for extreme events such …

An open-source framework for mosaic radar-based rainfall estimation across Thailand's watersheds

N Mahavik, F Masthawee, W Promta… - Spatial Information …, 2025 - Springer
Thailand frequently faces meteorological hazards, such as storms and floods, necessitating
accurate rainfall monitoring for disaster management. This study presents an open-source …

A machine learning-based perspective on deep convective clouds and their organisation in 3D. Part II: Spatial-temporal patterns of convective organisation

S Brüning, H Tost - EGUsphere, 2025 - egusphere.copernicus.org
This sequence of papers examines spatio-temporal patterns of convective cloud activity and
organisation. In response to the limitations of current remote sensing sensors, our analysis …

[PDF][PDF] EVALUATION OF TWO MICROPHYSICS SCHEMES IN THE AROME MODEL USING AN OBJECT-BASED APPROACH APPLIED ON DUAL-POLARISATION …

C David, C Augros, B Vié, F Bouttier - s1.easyabstract.it
INTRODUCTION Thunderstorms are one of the most destructive weather phenomena due to
the considerable damage they can cause. Despite significant progress made with numerical …