Results 21 to 30 of about 55,169 (227)

The Vertical Structure of Tropical Temperature Change in Global Storm‐Resolving Model Simulations of Climate Change

Geophysical Research Letters
Global storm‐resolving model (GSRM) simulations (kilometer‐scale horizontal resolution) of the atmosphere can capture the interaction between the scales of deep cumulus convection and the large‐scale dynamics and thermodynamic properties of the ...
Timothy M. Merlis, Ilai Guendelman, Kai‐Yuan Cheng, Lucas Harris, Yan‐Ting Chen, Christopher S. Bretherton, Maximilien Bolot, Linjiong Zhou, Alex Kaltenbaugh, Spencer K. Clark, Stephan Fueglistaler   +10 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

Response of Extreme North Atlantic Midlatitude Cyclones to a Warmer Climate in the GFDL X‐SHiELD Kilometer‐Scale Global Storm‐Resolving Model

Geophysical Research Letters
Using the novel kilometer‐scale global storm‐resolving model Geophysical Fluid Dynamics Laboratory eXperimental System for High‐resolution prediction on Earth‐to‐Local Domains (X‐SHiELD), we investigate the impact of a 4 K increase in sea surface ...
Emanuele Silvio Gentile, Lucas Harris, Ming Zhao, Kevin Hodges, Zhihong Tan, Kai‐Yuan Cheng, Linjiong Zhou   +6 more
doaj   +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

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

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

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

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