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Surface irradiance variability over land in storm-resolving models.

With increasing horizontal resolution in global models, we may expect an increasingly more realistic representation of cloud development over land as both large-scale circulations and local surface heterogeneities, such as orography and land use type, are better resolved.
Menno Veerman, Chiel van Heerwaarden
openaire   +1 more source

Tropical ice clouds validation in Global Storm Resolving Models using active sensor retrievals

2022
<p>Tropical ice clouds play an important role in the energy balance of the tropical atmosphere, yet their modeling has been a challenge and feedback from high clouds in climate models is very uncertain. The new generation of Global Storm Resolving Models (GSRM) is capable of resolving convective and mesoscale motions globally, and ...
Maximilien Bolot   +4 more
openaire   +1 more source

Monsoon precipitation biases in storm-resolving NextGEMS Earth System Models

Global Earth System Models at storm-resolving resolutions (SR-ESM, with horizontal resolutions of ~4km) are being developed as part of the nextGEMS collaborative European EU’s Horizon 2020 programme.  Within the Storms & Ocean theme, we are exploring how resolving convective storms, ocean mesoscale eddies, and air-sea ...
Simona Bordoni, Adrian M. Tompkins
openaire   +1 more source

D6.2: Report describing the planetary boundary layer in storm-resolving models

About this document  Based on the evaluation of high-resolution simulations and its comparison with observations and with results from coarser models, parametrizations of boundary-layer depth, convective mixing, and surface fluxes will be assessed, providing recommendations for improved formulations to be tested during the application phase.
Dragaud, Ian   +5 more
openaire   +1 more source

Mediterranean extreme precipitation events in storm-resolving NextGEMS Earth System Models

This study evaluates the ability of global storm-resolving simulations in reproducing extreme precipitation events (EPEs) over the Mediterranean basin, with a specific focus on the Italian peninsula. We use multi-decadal simulations provided by two coupled models, ICON and IFS-FESOM, both developed under the EU’s Horizon 2020 Next Generation ...
Paolo Lanteri, Simona Bordoni
openaire   +1 more source

Getting a single tropical rainbelt in a global storm-resolving model

Resolving deep convection using a horizontal grid spacing of 10 km or finer was supposed to produce a correct representation of tropical precipitation. Global coupled or uncoupled storm-resolving simulations using the ICOsahedral Non-hydrostatic model (ICON) show a proper representation of the tropical rainbelt over land. However, the tropical rainbelt
Hans Segura   +13 more
openaire   +1 more source

Improved northern hemispheric atmospheric blocking properties in two storm-resolving climate models

Atmospheric blocking and its associated extreme phenomena, such as hot and cold spells represent a risk to society. Current climate models struggle to simulate the atmospheric blocking properties, making it difficult to understand the underlying physical processes and raising uncertainty about their evolution under warming.
Edgar Dolores Tesillos, Olivia Martius
openaire   +1 more source

A Causal Intercomparison framework unravels precipitation 1 drivers in Global Storm-Resolving Models

Correctly representing convective precipitation remains a long-standing problem in climate models, due to its highly parameterized nature and unclear role of drivers interacting over a wide range of spatial scales. We analyze and compare simulations of Global Storm-Resolving Models, namely the DYAMOND models, using a methodology based on dimensionality
Ricard, Lucile   +3 more
openaire   +1 more source

Correcting Coarse‐Grid Weather and Climate Models by Machine Learning From Global Storm‐Resolving Simulations

Journal of Advances in Modeling Earth Systems, 2022
Christopher S Bretherton   +2 more
exaly  

The Contribution of Convection to the Stratospheric Water Vapor: The First Budget Using a Global Storm‐Resolving Model

Journal of Geophysical Research D: Atmospheres, 2022
Thibaut Dauhut, Cathy Hohenegger
exaly  

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