Results 11 to 20 of about 77,372 (282)

Tropical Cyclones in Global Storm-Resolving Models [PDF]

Journal of the Meteorological Society of Japan. Ser. II, 2021
Recent progress in computing and model development has initiated the era of global storm-resolving modeling and with it the potential to transform weather and climate prediction. Within the general theme of vetting this new class of models, the present study evaluates nine global-storm resolving models in their ability to simulate tropical cyclones ...
Judt, Falko, Klocke, Daniel, Rios-Berrios, Rosimar, Vanniere, Benoit, Ziemen, Florian, Auger, Ludovic, Biercamp, Joachim, Bretherton, Christopher, Chen, Xi, Düben, Peter, Hohenegger, Cathy, Khairoutdinov, Marat, Kodama, Chihiro, Kornblueh, Luis, Lin, Shian-Jiann, Nakano, Masuo, Neumann, Philipp, Putman, William, Röber, Niklas, Roberts, Malcolm, Satoh, Masaki, Shibuya, Ryosuke, Stevens, Bjorn, Vidale, Pier Luigi, Wedi, Nils, Zhou, Linjiong   +25 more
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The Fractal Nature of Clouds in Global Storm‐Resolving Models [PDF]

Geophysical Research Letters, 2021
AbstractClouds in observations are fractals: they show self‐similarity across scales ranging from 1 to 1,000 km. This includes individual storms and large‐scale cloud structures typical of organized convection. It is not known whether global storm‐resolving models reproduce the observed fractal scaling laws for clouds and organized convection.
Christensen, Hannah M., Driver, Oliver G. A.   +1 more
openaire   +5 more sources

Impact of microphysics on tropical precipitation extremes in a global storm-resolving model [PDF]

Geophysical Research Letters, 2021
AbstractThe impact of microphysics on tropical precipitation extremes is explored with a global storm‐resolving model by modifying the terminal velocity of raindrops. Depending on the time scales, precipitation extremes respond differently. Hourly extremes are influenced dynamically through the microphysical modulation on the convective updraft speed ...
Jiawei Bao, Julia M. Windmiller
openaire   +4 more sources

Superior Daily and Sub‐Daily Precipitation Statistics for Intense and Long‐Lived Storms in Global Storm‐Resolving Models

Geophysical Research Letters, 2022
AbstractDaily and sub‐daily precipitation statistics are investigated from three global model ensembles: (a) global storm‐resolving models (GSRMs) with typical horizontal resolutions of ∼4 km, (b) “high”‐resolution global models with typical resolutions of ∼50 km and (c) “standard”‐resolution global models with typical resolutions of ∼100 km.
Hsi‐Yen Ma, Stephen A. Klein, Jiwoo Lee, Min‐Seop Ahn, Cheng Tao, Peter J. Gleckler   +5 more
openaire   +3 more sources

The Added Value of Large-eddy and Storm-resolving Models for Simulating Clouds and Precipitation

Journal of the Meteorological Society of Japan. Ser. II, 2020
More than one hundred days were simulated over very large domains with fine (0.156 km to 2.5 km) grid spacing for realistic conditions to test the hypothesis that storm (kilometer) and large-eddy (hectometer) resolving simulations would provide an improved representation of clouds and precipitation in atmospheric simulations.
Stevens, Björn, Acquistapace, Claudia, Hansen, Akio, Heinze, Rieke, Klinger, Carolin, Klocke, Daniel, Rybka, Harald, Schubotz, Wiebke, Windmiller, Julia, Adamidis, Panogiotis, Arka, Ioanna, Barlakas, Vasileios, Bierkamp, Joachim, Brueck, Matthias, Brune, Sebastian, Buehler, Stefan A, Burkhardt, Ulrike, Cioni, Guido, Costa-Suros, Montserrat, Crewell, Susanne, Crüger, Traute, Deneke, Hartwig, Friederichs, Petra, Carbajal Henken, Cintia, Hohenegger, Cathy, Jacob, Marek, Jakub, Fabian, Kalthoff, Norbert, Köhler, Martin, Van Laar, Thirza, Li, Puxi, Löhnert, Ulrich, Macke, Andreas, Madenach, Niels, Mayer, Bernhard, Nam, Christine, Naumann, Ann Kristin, Peters, Karsten, Poll, Stefan, Quaas, Johannes, Röber, Niklas, Rochetin, Nicolas, Scheck, Leonhard, Schemann, Vera, Schnitt, Sabrina, Seifert, Axel, Senf, Fabian, Shapkalijevski, Metodija, Simmer, Clemens, Singh, Shweta, Sourdeval, Odran, Spickermann, Dela, Strandgren, Johan, Tessiot, Octave, Vercauteren, Nikki, Vial, Jessica, Voigt, Aiko, Zängl, Günther   +57 more
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Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation

Journal of Advances in Modeling Earth Systems
Parameterization of subgrid‐scale processes is a major source of uncertainty in global atmospheric model simulations. Global storm‐resolving simulations use a finer grid (less than 5 km) to reduce this uncertainty by explicitly resolving deep convection ...
Oliver Watt‐Meyer, Noah D. Brenowitz, Spencer K. Clark, Brian Henn, Anna Kwa, Jeremy McGibbon, W. Andre Perkins, Lucas Harris, Christopher S. Bretherton   +8 more
doaj   +2 more sources

Using Satellite and ARM Observations to Evaluate Cold Air Outbreak Cloud Transitions in E3SM Global Storm‐Resolving Simulations

Geophysical Research Letters
This study examines marine boundary layer cloud regime transition during a cold air outbreak (CAO) over the Norwegian Sea, simulated by a global storm‐resolving model (GSRM) known as the Simple Cloud‐Resolving Energy Exascale Earth System Model ...
X. Zheng, Y. Zhang, S. A. Klein, M. Zhang, Z. Zhang, M. Deng, J. Tian, C. R. Terai, B. Geerts, P. Caldwell, P. A. Bogenschutz   +10 more
doaj   +2 more sources

How Well Does the DOE Global Storm Resolving Model Simulate Clouds and Precipitation Over the Amazon?

Geophysical Research Letters
This study assesses a 40‐day 3.25‐km global simulation of the Simple Cloud‐Resolving E3SM Model (SCREAMv0) using high‐resolution ground‐based observations from the Atmospheric Radiation Measurement (ARM) Green Ocean Amazon (GoAmazon) field campaign ...
Jingjing Tian, Yunyan Zhang, Stephen A. Klein, Christopher R. Terai, Peter M. Caldwell, Hassan Beydoun, Peter Bogenschutz, Hsi‐Yen Ma, Aaron S. Donahue   +8 more
doaj   +2 more sources

Advancing precipitation prediction using a new-generation storm-resolving model framework – SIMA-MPAS (V1.0): a case study over the western United States [PDF]

Geoscientific Model Development, 2022
Global climate models (GCMs) have advanced in many ways as computing power has allowed more complexity and finer resolutions. As GCMs reach storm-resolving scales, they need to be able to produce realistic precipitation intensity, duration, and frequency
X. Huang, A. Gettelman, W. C. Skamarock, P. H. Lauritzen, M. Curry, A. Herrington, J. T. Truesdale, M. Duda   +7 more
doaj   +1 more source

Comparing storm resolving models and climates via unsupervised machine learning

Scientific Reports, 2023
AbstractGlobal storm-resolving models (GSRMs) have gained widespread interest because of the unprecedented detail with which they resolve the global climate. However, it remains difficult to quantify objective differences in how GSRMs resolve complex atmospheric formations.
Mooers, Griffin, Pritchard, Mike, Beucler, Tom, Srivastava, Prakhar, Mangipudi, Harshini, Peng, Liran, Gentine, Pierre, Mandt, Stephan   +7 more
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