Results 21 to 30 of about 3,005 (252)

Evaluation of Global Climate and Storm-Resolving Model Representations of Mixed-Phase Clouds and Their Hemispheric Contrasts

Atmosphere
Mixed-phase clouds, in which liquid droplets and ice crystals coexist at temperatures between −38 °C and 0 °C, play a critical role in Earth’s radiation budget.
Olimpia Bruno, Jonah K. Shaw, Trude Storelvmo, Corinna Hoose   +3 more
doaj   +2 more sources

Community-Based Weather and Climate Simulation With a Global Storm-Resolving Model

, 2023
This NSF-funded project is called EarthWorks. EarthWorks is a high-resolution, coupled, global storm-resolving Earth System Model (ESM) capable of running at the kilometer-scale resolution that is critical for many weather and climate applications. It is based on the NSF-supported Community Earth System Model, or CESM.
James Hurrell (17008293)
openaire   +2 more sources

Comparing storm resolving models and climates via unsupervised machine learning [PDF]

Scientific Reports, 2023
Global storm-resolving models (GSRMs) have gained widespread interest because of the unprecedented detail with which they resolve the global climate. However, it remains difficult to quantify objective differences in how GSRMs resolve complex atmospheric
Griffin Mooers, Mike Pritchard, Tom Beucler, Prakhar Srivastava, Harshini Mangipudi, Liran Peng, Pierre Gentine, Stephan Mandt   +7 more
doaj   +4 more sources

Comparing Loon Superpressure Balloon Observations of Gravity Waves in the Tropics With Global Storm‐Resolving Models [PDF]

Journal of Geophysical Research: Atmospheres, 2023
AbstractSuperpressure balloons, which drift approximately on isopycnal surfaces, get displaced by gravity waves and are thus capable of detecting gravity wave signatures. The project Loon provides superpressure balloon data in the upper troposphere and lower stratosphere from 2011 to 2021.
Laura Köhler, Brian Green, Claudia C. Stephan   +2 more
openaire   +3 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

Predicting Compound Coastal Flooding in Embayment-Backed Urban Catchments: Seawall and Storm Drain Implications

Journal of Marine Science and Engineering, 2023
Urban coastal flooding is a global humanitarian and socioeconomic hazard. Rising sea levels will increase the likelihood of hydrologic events interacting with high marine water levels.
Boxiang Tang, T. W. Gallien
doaj   +2 more sources

Superior Daily and Sub‐Daily Precipitation Statistics for Intense and Long‐Lived Storms in Global Storm‐Resolving Models

Geophysical Research Letters, 2022
AbstractDaily and sub‐daily precipitation statistics are investigated from three global model ensembles: (a) global storm‐resolving models (GSRMs) with typical horizontal resolutions of ∼4 km, (b) “high”‐resolution global models with typical resolutions of ∼50 km and (c) “standard”‐resolution global models with typical resolutions of ∼100 km.
Hsi-Yen Ma, Stephen A Klein, Jiwoo Lee
exaly   +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   +3 more sources

Learning by Doing: Seasonal and Diurnal Features of Tropical Precipitation in a Global‐Coupled Storm‐Resolving Model

Geophysical Research Letters, 2022
Abstract Using the global and coupled ICOsahedral Nonhydrostatic model with the Sapphire configuration (ICON‐S) and a grid spacing of 5 km, we describe seasonal and diurnal features of the tropical rainbelt and assess the limits of ICON‐S in representing tropical precipitation.
Segura, H., Hohenegger, C., Wengel, C., Stevens, B., Hohenegger, C.; 1 Max Planck Institute for Meteorology Hamburg Germany, Wengel, C.; 1 Max Planck Institute for Meteorology Hamburg Germany, Stevens, B.; 1 Max Planck Institute for Meteorology Hamburg Germany   +6 more
openaire   +5 more sources

Bridging the Gap Between Global Weather Prediction and Global Storm‐Resolving Simulation: Introducing the GFDL 6.5‐km SHiELD

Journal of Advances in Modeling Earth Systems
We introduce a 6.5‐km version of the Geophysical Fluid Dynamics Laboratory (GFDL)'s System for High‐resolution prediction on Earth‐to‐Local Domains (SHiELD).
Linjiong Zhou, Lucas Harris, Jan‐Huey Chen, Kun Gao, Kai‐Yuan Cheng, Mingjing Tong, Alex Kaltenbaugh, Matthew Morin, Joseph Mouallem, Lauren Chilutti, Lily Johnston   +10 more
doaj   +2 more sources