Back to variable_groups | Category Index
These are non-exclusive grouping of CMIP variables (e.g. monthly time slices of the baseline variables). Variables can belong to more than one group.
| Attribute | Value |
|---|---|
| justification | Climate services and climate impact modelling are a vital step in the value chain for understanding and managing the risks of a changing climate. The communities that undertake these activities depend on CMIP data outputs as inputs to onward "impact" models (e.g., for energy, water, agriculture, financial services, health). These impact models can be highly complex with non-linear dependences on meteorological properties. Many of these impact models themselves use only a handful of common surface/near-surface variables but require fine-resolution data in both time and space. Hitherto, the availability of such input data from CMIP has been - at best - patchy. This has inhibited impact modelling by requiring compromises on impact model resolution (e.g., use of daily or monthly rather than sub-daily ) and inter-model comparison (e.g., only a few CMIP models providing relevant output), or prevented the application of CMIP simulations in high-quality impact models completely. The proposal is therefore for CMIP models running 'real world' simulations to output a small set of surface/near-surface climate variables at sub-daily (preferably hourly) grid-point resolution to support the provision of climate impact modelling, climate services and climate adaptation across a wide range of topics, including but not limited to infrastructure, energy, finance, health, agriculture & water. It is therefore tressed that while this request is substantial, it is intended to support a wide range of activities and "downstream" impact communities. These are additional to the "high priority" core list, but add significant value to many use cases. |
| name | impacts_climserv_hourly_expanded |
| title | Impacts and Adaptation, Climate Services – expanded list at hourly timescales |