Results 1 to 10 of about 51,731 (251)

Trends in vertical wind velocity variability reveal cloud microphysical feedback [PDF]

Nature Communications
By controlling supersaturation vertical air motion influences how aerosols activate into cloud droplets and ice crystals. This effect is difficult to represent accurately in atmospheric models as they cannot typically resolve the sub-kilometer scale ...
Donifan Barahona, Katherine H. Breen, Derek Ngo, Flor Vanessa Maciel, Ryan Patnaude, Minghui Diao   +5 more
doaj   +2 more sources

Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning [PDF]

Scientific Reports
Cloud-related parameterizations remain a leading source of uncertainty in climate projections. Although machine learning holds promise for Earth system models (ESMs), many data-driven parameterizations lack interpretability, physical consistency, and ...
Arthur Grundner, Tom Beucler, Julien Savre, Axel Lauer, Manuel Schlund, Veronika Eyring   +5 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

How does the explicit treatment of convection alter the precipitation–soil hydrology interaction in the mid-Holocene African humid period? [PDF]

Climate of the Past, 2023
Global climate models with coarse horizontal resolution are largely unable to reproduce the monsoonal precipitation pattern over North Africa during the mid-Holocene.
L. Jungandreas, L. Jungandreas, C. Hohenegger, M. Claussen, M. Claussen   +4 more
doaj   +1 more source

Tropical Cirrus in Global Storm‐Resolving Models: 1. Role of Deep Convection

Earth and Space Science, 2022
Pervasive cirrus clouds in the upper troposphere and tropical tropopause layer (TTL) influence the climate by altering the top‐of‐atmosphere radiation balance and stratospheric water vapor budget.
J. M. Nugent, S. M. Turbeville, C. S. Bretherton, P. N. Blossey, T. P. Ackerman   +4 more
doaj   +1 more source

Toward Eliminating the Decades‐Old “Too Zonal and Too Equatorward” Storm‐Track Bias in Climate Models

Journal of Advances in Modeling Earth Systems, 2023
Generations of climate models exhibit biases in their representation of North Atlantic storm tracks, which tend to be too far near the equator and too zonal. Additionally, models have difficulties simulating explosive cyclone growth. These biases are one
Sebastian Schemm
doaj   +1 more source

PrIC3: Property Directed Reachability for MDPs [PDF]

, 2020
IC3 has been a leap forward in symbolic model checking. This paper proposes PrIC3 (pronounced pricy-three), a conservative extension of IC3 to symbolic model checking of MDPs. Our main focus is to develop the theory underlying PrIC3.
A Chakarov, A Cimatti, A Hartmanns, A McIver, AR Bradley, BL Kaminski, C Baier, C Baier, C Baier, C Baier, C Dehnert, D Park, E Bartocci, E Ábrahám, EM Hahn, EM Hahn, EM Hahn, F Gretz, F Gretz, G Agha, G Barthe, H Hermanns, JL Lassez, K Hoder, K Suenaga, L de Alfaro, L de Moura, M Fränzle, M Kattenbelt, M Kwiatkowska, MN Rabe, R Chadha, R Wimmer, S Cheshire, S Haddad, T Brázdil, T Han, T Quatmann, T Takisaka   +38 more
core   +2 more sources

Forecasted attribution of the human influence on Hurricane Florence. [PDF]

, 2020
Changes in extreme weather, such as tropical cyclones, are one of the most serious ways society experiences the impact of climate change. Advance forecasted conditional attribution statements, using a numerical model, were made about the anthropogenic ...
Reed, KA, Stansfield, AM, Wehner, MF, Zarzycki, CM   +3 more
core   +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   +1 more source

High-resolution time-lagged ensemble prediction for landfall intensity of Super Typhoon Haiyan (2013) using a cloud-resolving model

Weather and Climate Extremes, 2022
The prediction of tropical cyclone (TC) intensity at landfall is crucial for regions vulnerable to high winds and storm surges, but its accuracy has experienced only limited improvement.
Chung-Chieh Wang, Chau-Yi Lee, Ben Jong-Dao Jou, Cynthia P. Celebre, Shirley David, Kazuhisa Tsuboki   +5 more
doaj   +1 more source