the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
DCMIP2016: the tropical cyclone test case
Justin L. Willson
Christiane Jablonowski
James Kent
Peter H. Lauritzen
Ramachandran Nair
Mark A. Taylor
Paul A. Ullrich
Colin M. Zarzycki
David M. Hall
Don Dazlich
Ross Heikes
Celal Konor
David Randall
Thomas Dubos
Yann Meurdesoif
Lucas Harris
Christian Kühnlein
Vivian Lee
Abdessamad Qaddouri
Claude Girard
Marco Giorgetta
Daniel Reinert
Hiroaki Miura
Tomoki Ohno
Ryuji Yoshida
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Large volcanic eruptions deposit material in the upper atmosphere, which is capable of altering temperature and wind patterns of Earth's atmosphere for subsequent years. This research describes a new method of simulating these effects in an idealized, efficient atmospheric model. A volcanic eruption of sulfur dioxide is described with a simplified set of physical rules, which eventually cools the planetary surface. This model has been designed as a test bed for climate attribution studies.
modelscripts, which reproduce or build on what the Fortran model can do. You could do this same wrapping for any compiled model, not just FV3GFS.
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FINAM is not a model), a new coupling framework written in Python to dynamically connect independently developed models. Python, as the ultimate glue language, enables the use of codes from nearly any programming language like Fortran, C++, Rust, and others. FINAM is designed to simplify the integration of various models with minimal effort, as demonstrated through various examples ranging from simple to complex systems.
This study introduces a new 3D lake–ice–atmosphere coupled model that significantly improves winter climate simulations for the Great Lakes compared to traditional 1D lake model coupling. The key contribution is the identification of critical hydrodynamic processes – ice transport, heat advection, and shear-driven turbulence production – that influence lake thermal structure and ice cover and explain the superior performance of 3D lake models to their 1D counterparts.