nonlinMIP aims to quantify and understand climate responses that are non-linear in CO2 forcing, at global and regional scales. Non-linear responses can be large at regional scales (Good et al., 2012; Chadwick and Good, 2013), with important implications for understanding mechanisms and emulation techniques. However, these processes are hard to explore using traditional experiments, explaining why they have had little attention in previous studies.
nonlinMIP addresses this using a simple, small set of experiments that (Good et al., 2012; Good et al., 2013; Bouttes et al., 2013; Chadwick and Good, 2013) are able to separate linear and non-linear mechanisms cleanly, with good signal/noise – while being demonstrably traceable to realistic transient scenarios.
- Chadwick, R., and P. Good (2013), Understanding non-linear tropical precipitation responses to CO2 forcing, Geophysical Research Letters, 40.
- Good, P., J. M. Gregory, J. A. Lowe, and T. Andrews (2013), Abrupt CO2 experiments as tools for predicting and understanding CMIP5 representative concentration pathway projections, Climate Dynamics, 40(3-4), 1041-1053.
- Good, P., W. Ingram, F. H. Lambert, J. A. Lowe, J. M. Gregory, M. J. Webb, M. A. Ringer, and P. L. Wu (2012), A step-response approach for predicting and understanding non-linear precipitation changes, Climate Dynamics, 39(12), 2789-2803.
- Bouttes, N., J. M. Gregory, and J. A. Lowe (2013), The Reversibility of Sea Level Rise, Journal of Climate, 26(8), 2502-2513.