CL5.2.1 EDI
Co-organized by BG2
Convener: Christopher SmithECSECS | Co-conveners: Kalyn DorheimECSECS, Zebedee R. NichollsECSECS, Bjørn Samset, Ben Sanderson

Modelling the Earth system with state-of-the-art Earth System models is computationally expensive. Therefore, simple climate models (SCMs, also known as “reduced complexity” models and “emulators”) are useful as they are able to produce individual climate projections with reduced computational resources. This low computational burden enables the generation of large model ensembles where climate response, carbon cycle and forcing parameters can be varied, and internal variability and teleconnections emulated, allowing for probabilistic projections of a range of climate features. Simple climate models may be physical or statistical in nature, and can range in complexity from spreadsheet-based projections of global-mean temperature from prescribed radiative forcing through to Earth System Models of Intermediate Complexity and reduced resolution variants of operational ESMs. SCMs have historically proven useful in translating knowledge of physical processes, the carbon cycle and other Earth System responses into a format useful for the economical and social sciences, and policy/decision makers.

We invite presentations on all aspects of the development and application of simple climate and geophysical models, including but not limited to:
1. the development of simple climate models and results
2. the role of simple climate models in integrated assessment and scenario generation
3. best practices in tuning and calibration of simple models to observations and complex Earth System models
4. strategies for emulating internal variability, regional climate and climate extremes
5. models that focus on one particular complex aspect of the Earth system (for example atmospheric chemistry, land and ocean carbon cycles, or the cryosphere)
6. uses of simple climate models in outreach and education