HR: 08:50h
AN: A41B-05    [Abstracts]
TI: Transferability as a Strategy for Researching the Water Cycle and Energy Budget at Regional Scales
AU: * Takle, E S
EM: gstakle@iastate.edu
AF: Iowa State University, 3010 Agronomy Hall, Ames, IA 50011 United States
AU: Roads, J
EM: jroads@ucsd.edu
AF: Scripps Institution of Oceanography, UCSD, 0224, La Jolla, CA 92093 United States
AU: Gutowski, W J
EM: gutowski@iastate.edu
AF: Iowa State University, 3010 Agronomy Hall, Ames, IA 50011 United States
AU: Rockel, B
EM: rockel@gkss.de
AF: GKSS Research Centre, Max Planck Str., Geesthacht, D-21502 Germany
AU: Arritt, R W
EM: rwarritt@bruce.agron.iastate.edu
AF: Iowa State University, 3010 Agronomy Hall, Ames, IA 50011 United States
AU: Meinke, I
EM: imeinke@ucsd.edu
AF: GKSS Research Centre, Max Planck Str., Geesthacht, D-21502 Germany
AB: Transferability is a research strategy designed to advance our understanding of physical processes underpinning the global water and energy cycles and their predictability through systematic intercomparisons of regional climate simulations on several continents and comparison of these simulated climates with coordinated continental-scale observations and analyses. A transferability working group is being established under the GEWEX Hydrometeorology Panel to address GEWEX science questions relating to feedbacks and natural variability, acceleration of the water cycle, seasonal to interannual predictability, and impacts on water resources. Through simulations of unique water cycle processes in several climate regimes, transferability experiments seek answers to questions such as "How portable are our models?" and "How general is our understanding of the physics underlying our models?" Transferability experiments make "meta-comparison" of individual model and model ensemble performance among domains as well as on particular domains. Anchored by coordinated observations from continental scale experiments, transferability studies will examine influences of parameterization choices, resolution and nesting dependencies, boundary influences, and internal model variability on the quality of predictions. The emphasis of the transferability experiments is to apply several models on several domains or single models on multiple domains as opposed to multiple models on single domains. The presentation will use an initial set of simulations to illustrate how transferability experiments seek to answer science questions relating to the water cycle and energy budget. We have performed multi-year simulations focusing on regions encompassing GEWEX Continental Scale Experiments (e.g., GAPP, BALTEX, LBA), using the ECPC Regional Spectral Model, the GKSS Lokallmodel and RegCM3. Particular attention will be given to how model accuracy changes with location.
DE: 3329 Mesoscale meteorology
DE: 3337 Numerical modeling and data assimilation
DE: 3309 Climatology (1620)
DE: 1833 Hydroclimatology
DE: 1620 Climate dynamics (3309)
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting