The goals of climate research at IRI are:
- to advance and test forecasting methodologies, both dynamical and statistical, for predicting regional seasonal climate
- to improve understanding of the physical mechanisms of regional climate variability on subseasonal-to-interdecadal time scales, through modeling and diagnostic studies
- to direct these advances in methodologies and physical understanding toward improving seasonal predictions for specific regional projects and forecast operations.
Current IRI climate research activities include:
- Validating coupled and uncoupled GCM prediction systems of seasonal variability.
- Developing and undertaking a comparative evaluation of downscaling methodologies, including high resolution regional models, in support of demonstration activities.
- Improving forecast verification methodologies with an emphasis on demonstration regions.
- Developing statistical techniques and tools that combine, downscale and tailor global model outputs (includes weather statistics and daily sequences).
- Advancing methods to characterize historical decadal variability, assess information content from initialized dynamical predictions at decadal scale, and experimental near-term climate projections.
- Developing layered forecast information products for climate across scales of seasons to decades.
- Analyzing physical mechanisms of observed and modeled climate variability, predictability, and change, for demonstration projects.
- Advance climate risk simulation tools (seasonal-interannual-multi-decadal)
- Severe convection, tornadoes and climate research
IRI’s Climate Group