Results 11 to 20 of about 1,216,736 (127)

How the representation of microphysical processes affects tropical condensate in the global storm-resolving model ICON [PDF]

Atmospheric Chemistry and Physics
Cloud microphysics is a prime example of processes that remain unresolved in atmospheric modeling at storm-resolving resolution. In this study, we explore how uncertainties in the representation of microphysical processes affect the tropical condensate ...
A. K. Naumann, A. K. Naumann, M. Esch, B. Stevens   +3 more
doaj   +2 more sources

Tropical Cirrus Are Highly Sensitive to Ice Microphysics Within a Nudged Global Storm‐Resolving Model

Geophysical Research Letters
Cirrus dominate the longwave radiative budget of the tropics. For the first time, the variability in cirrus properties and longwave cloud radiative effects (CREs) that arises from using different microphysical schemes within nudged global storm‐resolving
R. L. Atlas, C. S. Bretherton, A. B. Sokol, P. N. Blossey, M. F. Khairoutdinov   +4 more
doaj   +2 more sources

Muted Amazon Rainfall Response to Deforestation in a Global Storm‐Resolving Model

Geophysical Research Letters
Ongoing Amazon deforestation has raised concerns about forest dieback via induced precipitation changes. Previous studies have found that complete deforestation reduces evapotranspiration, contributing to low precipitation rates that would limit the ...
Arim Yoon, Cathy Hohenegger
doaj   +2 more sources

Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model [PDF]

Atmospheric Chemistry and Physics
Aerosols can cause brightening of stratocumulus clouds, thereby cooling the climate. Observations and models disagree on the magnitude of this cooling, partly because of the aerosol-induced liquid water path (LWP) adjustment, with climate models ...
E. Fons, A. K. Naumann, A. K. Naumann, D. Neubauer, T. Lang, T. Lang, U. Lohmann   +6 more
doaj   +2 more sources

Horizontal Grid Spacing Convergence of Aquaplanet Experiments Using a Global‐Storm Resolving Model

Journal of Advances in Modeling Earth Systems
Aquaplanet experiments are used to investigate the statistical convergence of the Global Storm‐Resolving model (GSRM) ICOsahedral Nonhydrostatic (ICON) model, under successive, two‐fold horizontal grid spacing refinements from 160 to 1.25 km.
A. Peinado Bravo, D. Klocke, B. Stevens
doaj   +2 more sources

The Land‐Ocean Contrast in Deep Convective Intensity in a Global Storm‐Resolving Model

Journal of Advances in Modeling Earth Systems
Observations reveal a clear difference in the intensity of deep convection over tropical land and ocean. This observed land‐ocean contrast provides a natural benchmark for evaluating the fidelity of global storm‐resolving models (GSRMs; global models ...
Tristan H. Abbott, Nadir Jeevanjee, Kai‐Yuan Cheng, Linjiong Zhou, Lucas Harris   +4 more
doaj   +2 more sources

Introduction to EarthCARE synthetic data using a global storm-resolving simulation [PDF]

Atmospheric Measurement Techniques, 2023
Pre-launch simulated satellite data are useful to develop retrieval algorithms and to facilitate the rapid release of retrieval products after launch. Here we introduce the Japanese Aerospace Exploration Agency's (JAXA) EarthCARE synthetic data based on ...
W. Roh, M. Satoh, T. Hashino, S. Matsugishi, T. Nasuno, T. Kubota   +5 more
doaj   +2 more sources

On the Realism of Tropical Cyclone Intensification in Global Storm‐Resolving Climate Models

Geophysical Research Letters
The physical processes governing a tropical cyclone's lifecycle are largely understood, but key processes occur at scales below those resolved by global climate models. Increased resolution may help simulate realistic tropical cyclone intensification. We
Alexander J. Baker, Benoît Vannière, Pier Luigi Vidale   +2 more
doaj   +2 more sources

Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model [PDF]

Geoscientific Model Development
Global storm-resolving models (GSRMs) use strongly refined horizontal grids compared with the climate models typically used in the Coupled Model Intercomparison Project (CMIP) but employ comparable vertical grid spacings.
H. Schmidt, S. Rast, J. Bao, J. Bao, A. Cassim, S.-W. Fang, D. Jimenez-de la Cuesta, D. Jimenez-de la Cuesta, P. Keil, P. Keil, L. Kluft, C. Kroll, C. Kroll, T. Lang, U. Niemeier, A. Schneidereit, A. Schneidereit, A. I. L. Williams, B. Stevens   +18 more
doaj   +2 more sources

Correcting Coarse‐Grid Weather and Climate Models by Machine Learning From Global Storm‐Resolving Simulations

Journal of Advances in Modeling Earth Systems, 2022
Global atmospheric “storm‐resolving” models with horizontal grid spacing of less than 5 km resolve deep cumulus convection and flow in complex terrain.
Christopher S. Bretherton, Brian Henn, Anna Kwa, Noah D. Brenowitz, Oliver Watt‐Meyer, Jeremy McGibbon, W. Andre Perkins, Spencer K. Clark, Lucas Harris   +8 more
doaj   +2 more sources