HR: 0800h
AN: GC21A-0135 [Abstracts]
TI: Regional Modeling Applications of a Global Climate Model Using Local Mesh Refinement
AU: * Walko, R L
EM: robert.walko@duke.edu
AF: Department of Civil and Environmental Engineering
Duke University, P.O. Box 90287, Durham, NC 27708-0287, United States
AU: Avissar, R
EM: avissar@duke.edu
AF: Department of Civil and Environmental Engineering
Duke University, P.O. Box 90287, Durham, NC 27708-0287, United States
AB:
Traditional regional climate models (RCMs) are limited area models that require lateral boundary conditions to
be specified from an outside source, such as a global climate model (GCM). Information flow at the lateral
boundaries is inward only. Events simulated within the RCM cannot propagate outside to the GCM domain, and
thus cannot impact global flow patterns which in turn feed back into the RCM through the lateral boundaries. This
restriction limits the applicability of scientific problems that can be investigated, for example, assessing the
impact of local changes in climate forcing on the local climate.
The Ocean-Land-Atmosphere Model (OLAM) is a new numerical simulation model that is based on the RAMS
regional model but encompasses a global domain and uses a geodesic triangular mesh. Local mesh
refinement enables OLAM to function simultaneously as a GCM and RCM. Selected geographic areas are
represented with very high resolution typical of RCMs, while the remainder of the globe is covered with a lower
resolution GCM-like grid. This configuration enables two-way information transfer between low and high
resolution regions, eliminates problematical lateral boundary conditions, and allows simulations of
comprehensive cause and effect relationships between proximate or widely separated events within a single
model system. It is common for the refined mesh regions to contain more than half the grid cells in the model
domain and to require most of the computational steps. Therefore, compared with an RCM, the OLAM coarse
global grid adds a modest increase in computational expense while providing major benefits.
Different mesh structures that provide local refinement are compared. Standard global simulation tests are used
to evaluate performance of different refinement structures and as a guide for optimizing them, particularly in the
transitional region between lower and higher resolution. Techniques are discussed to enable physical
parameterizations to adapt to a wide range of grid resolution. Simulations of shallow and deep convective
systems in highly refined regions of the grid test model performance at the finest scales.
DE: 0545 Modeling (4255)
DE: 1626 Global climate models (3337, 4928)
DE: 1637 Regional climate change
DE: 3355 Regional modeling
SC: Global Environmental Change [GC]
MN: 2007 Fall Meeting