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Title: Development of an Atmospheric Climate Model with Self-Adapting Grid and Physics

Abstract

This project was targeting the development of a computational approach that would allow resolving cloud processes on small-scales within the framework of the most recent version of the NASA/NCAR Finite-Volume Community Atmospheric Model (FVCAM). The FVCAM is based on the multidimensional Flux-Form Semi-Lagrangian (FFSL) dynamical core and uses a ?vertically Lagrangian? finite-volume (FV) representation of the model equations with a mass-conserving re-mapping algorithm. The Lagrangian coordinate requires a remapping of the Lagrangian volume back to Eulerian coordinates to restore the original resolution and keep the mesh from developing distortions such as layers with overlapping interfaces. The main objectives of the project were, first, to develop the 3D library which allows refinement and coarsening of the model domain in spherical coordinates, and second, to develop a non-hydrostatic code for calculation of the model variables within the refined areas that could be seamlessly incorporated with the hydrostatic finite volume dynamical core when higher resolution is wanted. We also updated the aerosol simulation model in CAM in order to ready the model for the treatment of aerosol/cloud interactions.

Authors:
 [1]
  1. University of Michigan
Publication Date:
Research Org.:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1089749
Report Number(s):
DOE/ER63248
DOE Contract Number:  
FG02-01ER63248
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; climate model; non-hydrostatic dynamical core; adaptive grid

Citation Formats

Penner, Joyce E. Development of an Atmospheric Climate Model with Self-Adapting Grid and Physics. United States: N. p., 2013. Web. doi:10.2172/1089749.
Penner, Joyce E. Development of an Atmospheric Climate Model with Self-Adapting Grid and Physics. United States. https://doi.org/10.2172/1089749
Penner, Joyce E. 2013. "Development of an Atmospheric Climate Model with Self-Adapting Grid and Physics". United States. https://doi.org/10.2172/1089749. https://www.osti.gov/servlets/purl/1089749.
@article{osti_1089749,
title = {Development of an Atmospheric Climate Model with Self-Adapting Grid and Physics},
author = {Penner, Joyce E.},
abstractNote = {This project was targeting the development of a computational approach that would allow resolving cloud processes on small-scales within the framework of the most recent version of the NASA/NCAR Finite-Volume Community Atmospheric Model (FVCAM). The FVCAM is based on the multidimensional Flux-Form Semi-Lagrangian (FFSL) dynamical core and uses a ?vertically Lagrangian? finite-volume (FV) representation of the model equations with a mass-conserving re-mapping algorithm. The Lagrangian coordinate requires a remapping of the Lagrangian volume back to Eulerian coordinates to restore the original resolution and keep the mesh from developing distortions such as layers with overlapping interfaces. The main objectives of the project were, first, to develop the 3D library which allows refinement and coarsening of the model domain in spherical coordinates, and second, to develop a non-hydrostatic code for calculation of the model variables within the refined areas that could be seamlessly incorporated with the hydrostatic finite volume dynamical core when higher resolution is wanted. We also updated the aerosol simulation model in CAM in order to ready the model for the treatment of aerosol/cloud interactions.},
doi = {10.2172/1089749},
url = {https://www.osti.gov/biblio/1089749}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Aug 10 00:00:00 EDT 2013},
month = {Sat Aug 10 00:00:00 EDT 2013}
}