Results 21 to 30 of about 77,372 (282)

Toward the Direct Simulation of the Quasi‐Biennial Oscillation in a Global Storm‐Resolving Model

Journal of Advances in Modeling Earth Systems
This study presents the first attempt to simulate a full cycle of the quasi‐biennial oscillation (QBO) in a global storm‐resolving model (GSRM) that explicitly simulates deep convection and gravity waves instead of parameterizing them.
Henning Franke, Marco A. Giorgetta
doaj   +2 more sources

Convection‐Permitting Simulations With the E3SM Global Atmosphere Model

Journal of Advances in Modeling Earth Systems, 2021
This paper describes the first implementation of the Δx = 3.25 km version of the Energy Exascale Earth System Model (E3SM) global atmosphere model and its behavior in a 40‐day prescribed‐sea‐surface‐temperature simulation (January 20 through February 28,
P. M. Caldwell, C. R. Terai, B. Hillman, N. D. Keen, P. Bogenschutz, W. Lin, H. Beydoun, M. Taylor, L. Bertagna, A. M. Bradley, T. C. Clevenger, A. S. Donahue, C. Eldred, J. Foucar, J.‐C. Golaz, O. Guba, R. Jacob, J. Johnson, J. Krishna, W. Liu, K. Pressel, A. G. Salinger, B. Singh, A. Steyer, P. Ullrich, D. Wu, X. Yuan, J. Shpund, H.‐Y. Ma, C. S. Zender   +29 more
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

Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection

Journal of Advances in Modeling Earth Systems, 2023
Using machine learning (ML) for the online correction of coarse‐resolution atmospheric models has proven effective in reducing biases in near‐surface temperature and precipitation rate.
Clayton Sanford, Anna Kwa, Oliver Watt‐Meyer, Spencer K. Clark, Noah Brenowitz, Jeremy McGibbon, Christopher Bretherton   +6 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

Global System for Atmospheric Modeling: Model Description and Preliminary Results

Journal of Advances in Modeling Earth Systems, 2022
The extension of a cloud‐resolving model, the System for Atmospheric Modeling (SAM), to global domains is described. The resulting global model, gSAM, is formulated on a latitude‐longitude grid. It uses an anelastic dynamical core with a single reference
Marat F. Khairoutdinov, Peter N. Blossey, Christopher S. Bretherton   +2 more
doaj   +1 more source

Machine-learned climate model corrections from a global storm-resolving model

, 2022
Due to computational constraints, running global climate models (GCMs) for many years requires a lower spatial grid resolution (${\gtrsim}50$ km) than is optimal for accurately resolving important physical processes. Such processes are approximated in GCMs via subgrid parameterizations, which contribute significantly to the uncertainty in GCM ...
Kwa, Anna, Clark, Spencer K., Henn, Brian, Brenowitz, Noah D., McGibbon, Jeremy, Perkins, W. Andre, Watt-Meyer, Oliver, Harris, Lucas, Bretherton, Christopher S.   +8 more
openaire   +2 more sources

Assessing Precipitation Over the Amazon Basin as Simulated by a Storm‐Resolving Model

Journal of Geophysical Research: Atmospheres, 2022
AbstractIn this study, we investigate whether a better representation of precipitation in the Amazon basin arises through an explicit representation of convection and whether it is related to the representation of organized systems. In addition to satellite data, we use ensemble simulations of the ICON‐NWP model at storm‐resolving (2.5–5.0 km) scales ...
Paccini, L., Stevens, B., Stevens, B.; 1 Max Planck Institute for Meteorology Hamburg Germany   +2 more
openaire   +3 more sources

Wet scavenging of soluble gases in DC3 deep convective storms using WRF-Chem simulations and aircraft observations [PDF]

, 2016
We examine wet scavenging of soluble trace gases in storms observed during the Deep Convective Clouds and Chemistry (DC3) field campaign. We conduct high-resolution simulations with the Weather Research and Forecasting model with Chemistry (WRF-Chem) of ...
Allen, Dale J, Apel, Eric C, Barth, Mary C, Bela, Megan M, Blake, Donald R, Blake, Nicola J, Campos, Teresa, Chen, Dexian, Crounse, John D, Cummings, Kristin A, Diskin, Glenn, Flocke, Frank, Fried, Alan, Homeyer, Cameron R, Hornbrook, Rebecca S, Huey, L Gregory, Li, Yunyao, Liu, Xiaoxi, Morrison, Hugh, O'Sullivan, Daniel, Pickering, Kenneth E, St Clair, Jason M, Teng, Alex P, Toon, Owen B, Wennberg, Paul O, Yang, Qing   +25 more
core   +2 more sources

Impact of rational and experiential thinking styles on interpersonal conflict resolution among young adults [PDF]

, 2020
This research aimed to find the relationship between thinking styles (rational or experiential) and interpersonal conflict resolution (ICR) in young adults.
Arshi, Shabnam, Habib, Hania, Rafique, Ayesha, Rehman, Fariha Abdul   +3 more
core   +3 more sources