Machine‐Learned Climate Model Corrections From a Global Storm‐Resolving Model: Performance Across the Annual Cycle [PDF]
One approach to improving the accuracy of a coarse‐grid global climate model is to add machine‐learned (ML) state‐dependent corrections to the prognosed model tendencies, such that the climate model evolves more like a reference fine‐grid global storm ...
Anna Kwa +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]
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 +7 more
doaj +1 more source
Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection
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 +6 more
doaj +1 more source
Global System for Atmospheric Modeling: Model Description and Preliminary Results
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 +2 more
doaj +1 more source
PrIC3: Property Directed Reachability for MDPs [PDF]
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 +38 more
core +2 more sources
Forecasted attribution of the human influence on Hurricane Florence. [PDF]
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 +3 more
core +2 more sources
Wet scavenging of soluble gases in DC3 deep convective storms using WRF-Chem simulations and aircraft observations [PDF]
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 +25 more
core +2 more sources
Impact of rational and experiential thinking styles on interpersonal conflict resolution among young adults [PDF]
This research aimed to find the relationship between thinking styles (rational or experiential) and interpersonal conflict resolution (ICR) in young adults.
Arshi, Shabnam +3 more
core +3 more sources
Tropical Cirrus in Global Storm‐Resolving Models: 1. Role of Deep Convection
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 +4 more
doaj +1 more source
DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains
A review of the experimental protocol and motivation for DYAMOND, the first intercomparison project of global storm-resolving models, is presented. Nine models submitted simulation output for a 40-day (1 August–10 September 2016) intercomparison period ...
Bjorn Stevens +20 more
doaj +1 more source

