2 research outputs found
Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1), part I: dust budget analyses and the impacts of a revised coupling scheme
An earlier study evaluating the dust life cycle in EAMv1 has revealed that
the simulated global mean dust lifetime is substantially shorter when higher
vertical resolution is used, primarily due to significant strengthening of dust
dry removal in source regions. This paper demonstrates that the sequential
splitting of aerosol emissions, dry removal, and turbulent mixing in the
model's time integration loop, especially the calculation of dry removal after
surface emissions and before turbulent mixing, is the primary reason for the
vertical resolution sensitivity reported in that earlier study. Based on this
reasoning, we propose a simple revision to the numerical process coupling
scheme, which moves the application of the surface emissions to after dry
removal and before turbulent mixing. The revised scheme allows newly emitted
particles to be transported aloft by turbulence before being removed from the
atmosphere, and hence better resembles the dust life cycle in the real world.
Sensitivity experiments are conducted and analyzed to evaluate the impact of
the revised coupling on the simulated aerosol climatology in EAMv1
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Progress Report 2008: A Scalable and Extensible Earth System Model for Climate Change Science
This project employs multi-disciplinary teams to accelerate development of the Community Climate System Model (CCSM), based at the National Center for Atmospheric Research (NCAR). A consortium of eight Department of Energy (DOE) National Laboratories collaborate with NCAR and the NASA Global Modeling and Assimilation Office (GMAO). The laboratories are Argonne (ANL), Brookhaven (BNL) Los Alamos (LANL), Lawrence Berkeley (LBNL), Lawrence Livermore (LLNL), Oak Ridge (ORNL), Pacific Northwest (PNNL) and Sandia (SNL). The work plan focuses on scalablity for petascale computation and extensibility to a more comprehensive earth system model. Our stated goal is to support the DOE mission in climate change research by helping ... To determine the range of possible climate changes over the 21st century and beyond through simulations using a more accurate climate system model that includes the full range of human and natural climate feedbacks with increased realism and spatial resolution