Results 21 to 30 of about 123 (82)

Link Between the Time‐Space Behavior of Rainfall and 3D Dynamical Structures of Equatorial Waves in Global Convection‐Permitting Simulations

Geophysical Research Letters, 2023
Equatorial waves (EWs) control a considerable portion of tropical rainfall variability but numerical models often struggle to capture them. Increased computing power now enables global simulations with resolved deep convection, which is believed to ...
Hyunju Jung, Peter Knippertz
doaj   +1 more source

Contrasting Improvements in Storm‐Track Activity Over the North Atlantic and North Pacific in Global Storm‐Resolving Models: A Case Study in the Winter of 2020

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Storm‐resolving models have the potential to outperform conventional models with a horizontal resolution of 150 km in simulating global atmospheric circulation by resolving deep convection and gravity waves. Recent studies have suggested that the long‐standing “too zonal and too equatorward” storm‐track bias in climate models can be mitigated ...
R. Masunaga, C. Kodama, S. Okajima, A. Yamazaki, T. Miyakawa   +4 more
wiley   +1 more source

Evaluating the Biases in Indian Summer Monsoon Rainfall Simulation Using the Global Storm Resolving Models: An Assessment of the DYAMOND Models

Earth and Space Science, Volume 13, Issue 6, June 2026.
Abstract This study evaluated the performance of various global storm‐resolving models (GSRMs) in simulating the Indian Summer Monsoon (ISM), highlighting the limitations of current global kilometer‐scale models in accurately representing precipitation patterns over the Indian subcontinent.
S. Lekshmi, Moumita Bhowmik, Anupam Hazra, Deepeshkumar Jain, Prasanth Pillai, Suryachandra A. Rao   +5 more
wiley   +1 more source

Can ERA5 Be Used to Study Mesoscale Convective System Climatological Characteristics?

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 10, 28 May 2026.
Abstract Mesoscale convective systems (MCSs) produce more than half of tropical rainfall and are central to the global hydrologic cycle. As the climate warms, environments favorable for MCSs may become more common; however, limited observational records hamper understanding of how MCSs respond to variations and changes in their environments.
Stella Heflin, Zhe Feng, L. Ruby Leung, Qiang Fu   +3 more
wiley   +1 more source

Global Diurnal Precipitation Cycle in the AI Model GraphCast and a 5‐km Unified Model: Challenges and Opportunities

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract This study evaluates the ability of the AI weather forecast model GraphCast to reproduce the global diurnal cycle of boreal summer precipitation, comparing it with Integrated Multi‐satellite Retrievals for GPM (IMERG) satellite observations, the ERA5 reanalysis, and an experimental global 5‐km Met Office Unified Model (UM) which is convection ...
Emanuele Silvio Gentile, Kieran M. R. Hunt, Lorenzo Tomassini, Ben Harvey, Oscar Martinez‐Alvarado   +4 more
wiley   +1 more source

Evaluation of the tropical upper tropospheric cloudiness simulated by the storm resolving models (SRMs) from DYAMOND project [PDF]

, 2023
Employing a resolution of 5 km or less, DYAMOND models resolve much of the cloud relevant dynamics and better simulate cloud structure and diurnal cycle of precipitation. Nevertheless, cloud properties in DYAMOND simulations vary significantly despite the fact that they resolve deep convection.
Corko, Karol, Burkhardt, Ulrike, Ewald, Florian, Köhler, Martin   +3 more
openaire   +1 more source

Beyond the Training Data: Confidence‐Guided Mixing of Parameterizations in a Hybrid AI‐Climate Model

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract Persistent systematic errors in Earth system models (ESMs) arise from difficulties in representing the full diversity of subgrid, multiscale atmospheric convection and turbulence. Machine learning (ML) parameterizations trained on short high‐resolution simulations show strong potential to reduce these errors.
Helge Heuer, Tom Beucler, Mierk Schwabe, Julien Savre, Manuel Schlund, Veronika Eyring   +5 more
wiley   +1 more source

Responses to Humidity and Temperature Perturbations in High‐Resolution Simulations of Convection

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract Convection parameterization is a leading source of uncertainty in global and regional climate models, and a lack of ground truth complicates the assessment of convection scheme performance. Here we test a linear framework for quantifying convective responses, using two models run at convection‐permitting resolution, to examine model responses ...
Timothy H. Raupach, Chimene L. Daleu, Robert S. Plant, Steven C. Sherwood, Yi‐Ling Hwong   +4 more
wiley   +1 more source

Precipitation Characteristics and Thermodynamic‐Convection Coupling in Global Kilometer‐Scale Simulations

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.
Abstract We compare three global kilometer‐scale models (ICON, IFS and NICAM) to clarify the advantages and challenges of high‐resolution global weather and climate modeling, using different approaches to represent convection, from fully parameterized to fully explicit.
Daisuke Takasuka, Tobias Becker, Jiawei Bao   +2 more
wiley   +1 more source

A protocol and analysis of year-long simulations of global storm-resolving models and beyond

Progress in Earth and Planetary Science
We propose a protocol to evaluate and analyze year-long simulations of global storm-resolving models (GSRMs). The proposed protocol complements an earlier 40-day simulation protocol under the DYAMOND (DYnamics of the Atmospheric general circulation ...
Daisuke Takasuka, Masaki Satoh, Tomoki Miyakawa, Chihiro Kodama, Daniel Klocke, Bjorn Stevens, Pier Luigi Vidale, Christopher R. Terai   +7 more
doaj   +1 more source