[HTML][HTML] A review of recent and emerging machine learning applications for climate variability and weather phenomena

MJ Molina, TA O'Brien, G Anderson… - … Intelligence for the …, 2023 - journals.ametsoc.org
Climate variability and weather phenomena can cause extremes and pose significant risk to
society and ecosystems, making continued advances in our physical understanding of such …

A global high‐resolution mesoscale convective system database using satellite‐derived cloud tops, surface precipitation, and tracking

Z Feng, LR Leung, N Liu, J Wang… - Journal of …, 2021 - Wiley Online Library
A new methodology is developed to construct a global (60° S–60° N) long‐term (2000–
2019) high‐resolution (∼ 10‐km h) mesoscale convective system (MCS) database by …

Metrics as tools for bridging climate science and applications

KA Reed, N Goldenson, R Grotjahn… - Wiley …, 2022 - Wiley Online Library
In climate science and applications, the term “metric” is used to describe the distillation of
complex, multifaceted evaluations to summarize the overall quality of a model simulation, or …

Mesoscale convective systems in DYAMOND global convection‐permitting simulations

Z Feng, LR Leung, J Hardin, CR Terai… - Geophysical …, 2023 - Wiley Online Library
This study examines the deep convection populations and mesoscale convective systems
(MCSs) simulated in the DYAMOND (DYnamics of the atmospheric general circulation …

Early warm-season mesoscale convective systems dominate soil moisture–precipitation feedback for summer rainfall in central United States

H Hu, LR Leung, Z Feng - Proceedings of the National …, 2021 - National Acad Sciences
Land–atmosphere interactions play an important role in summer rainfall in the central United
States, where mesoscale convective systems (MCSs) contribute to 30 to 70% of warm …

[HTML][HTML] PyFLEXTRKR: A flexible feature tracking Python software for convective cloud analysis

Z Feng, J Hardin, HC Barnes, J Li… - Geoscientific Model …, 2023 - gmd.copernicus.org
This paper describes the new open-source framework PyFLEXTRKR (Python FLEXible
object TRacKeR), a flexible atmospheric feature tracking software package with specific …

[HTML][HTML] Exploratory precipitation metrics: Spatiotemporal characteristics, process-oriented, and phenomena-based

LR Leung, WR Boos, JL Catto, C A. DeMott… - Journal of …, 2022 - journals.ametsoc.org
Precipitation sustains life and supports human activities, making its prediction one of the
most societally relevant challenges in weather and climate modeling. Limitations in …

[HTML][HTML] Understanding and reducing warm and dry summer biases in the central United States: Improving cumulus parameterization

C Sun, XZ Liang - Journal of Climate, 2023 - journals.ametsoc.org
Most climate models still suffer large warm and dry summer biases in the central United
States (CUS). As a solution, we improved cumulus parameterization to represent 1) the …

Mesoscale convective systems in a superparameterized E3SM simulation at high resolution

G Lin, CR Jones, LR Leung, Z Feng… - Journal of Advances …, 2022 - Wiley Online Library
Accurately representing mesoscale convective systems (MCSs) is crucial to simulating the
energy and water cycles in global climate models. Using a novel MCS identification and …

Observed and projected changes of large‐scale environments conducive to spring MCS initiation over the US Great Plains

F Song, LR Leung, Z Feng, X Chen… - Geophysical Research …, 2022 - Wiley Online Library
Mesoscale convective systems (MCSs) are frequent over the US Great Plains during spring.
The link between large‐scale environments and spring MCS initiation were well established …