[HTML][HTML] A review of recent and emerging machine learning applications for climate variability and weather phenomena
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 …
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
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 …
2019) high‐resolution (∼ 10‐km h) mesoscale convective system (MCS) database by …
Metrics as tools for bridging climate science and applications
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 …
complex, multifaceted evaluations to summarize the overall quality of a model simulation, or …
Mesoscale convective systems in DYAMOND global convection‐permitting simulations
This study examines the deep convection populations and mesoscale convective systems
(MCSs) simulated in the DYAMOND (DYnamics of the atmospheric general circulation …
(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
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 …
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
This paper describes the new open-source framework PyFLEXTRKR (Python FLEXible
object TRacKeR), a flexible atmospheric feature tracking software package with specific …
object TRacKeR), a flexible atmospheric feature tracking software package with specific …
[HTML][HTML] Exploratory precipitation metrics: Spatiotemporal characteristics, process-oriented, and phenomena-based
Precipitation sustains life and supports human activities, making its prediction one of the
most societally relevant challenges in weather and climate modeling. Limitations in …
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 …
States (CUS). As a solution, we improved cumulus parameterization to represent 1) the …
Mesoscale convective systems in a superparameterized E3SM simulation at high resolution
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 …
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
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 …
The link between large‐scale environments and spring MCS initiation were well established …