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Understand the challenges in climate modeling, the importance of boundary conditions, model setups, and addressing uncertainty through ensembles of model runs. Dive into the connection between climate and economic activities.
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Miscellaneous Points from Brent Lofgren CLIP Planning Workshop Nov. 14-16, 2003
Strawman model setup • 60 km squares 90x80 • 20 km squares over selected area (about 30x30 would cover southern Kenya and northern Tanzania • To cover the same area, a model with grid spacing of nx requires n-3 times as many calculations as one with spacing of x.
Lateral boundary conditions • These are capable of carrying information into the regional domain from distant regions, but some care in siting boundaries may be needed • A key question is, “How well are we replicating the boundary conditions from our source (GCM)?” • Method used is nudging, not fixing values to input data • Number of nudged points, linear vs. exponential • Double nesting—two-way vs. one-way
RAMS vs. RegCM3 • Either will be a challenge • Previous experience on the part of a research associate will be very helpful—choice of model will hinge on candidate’s experience • RAMS has parallelized code and 2-way nesting • Snehal has had much difficulty in compiling RAMS • Realism demands that we do not consider computing speed to be the only factor in how fast we can get answers
Uncertainty Issues • Uncertainty is a well-recognized issue in climate modeling • Solutions are more within reach for a worldwide network of greenhouse warming modelers than to us • Means of addressing uncertainty/stat. significance (beggars can’t be choosers): • Model runs should last many years. • Ensembles of model runs will help. • A variety of different models help to build a consensus.