downscaleTemperature (16_downscaleTemperature)
Description
The module downscaleTemperature downscales the global mean temperature path generated by MAGICC based on REMIND emissions to the regional level. It is a statistical population-weighted downscaling following the methodology by Burke, Hsiang, and Miguel (2015) and described in Schultes et al. (2020). The downscaling factors are currently available only for RCP2.6 and RCP8.5, for SSP2, for the 11 and 12 region versions, either for fixed 2010 populations or changing SSP2 populations. The downscaling factor is calculated based on a CMIP5 GCM ensemble.
Interfaces
Input
| Description | Unit | A | |
|---|---|---|---|
| pm_globalMeanTemperature (tall) |
global mean temperature anomaly | x | |
| pm_interpolWeight_ttot_tall (tall) |
weight for linear interpolation of ttot-dependent variables | x | |
| pm_regionalTemperature (tall, all_regi) |
regional temperature | x | |
| pm_tall_2_ttot (tall, ttot) |
mapping from tall to ttot | x | |
| pm_tempScaleGlob2Reg (tall, all_regi) |
scaling factor from global to regional temperature | x |
Output
Realizations
(A) CMIP5
This produces the downscaled regional temperatures based on the exogenous downscaling factors and the MAGICC global mean temperature path.
Limitations Downscaling factors are currently only available for RCPs 2.6 and 8.5, for the 11 and 12 region version. They can either be based on fixed 2010 population or changing population (currently only SSP2). The input files are currently hard-coded, so the different options cannot be chosen through a switch.
(B) off
No temperature downscaling - default setting.
Limitations There are no known limitations.
Definitions
Objects
| Description | Unit | A | |
|---|---|---|---|
| f16_tempGlobalCMIP5 (all_rcp_scen, ttot) |
XXX | x | |
| f16_tempRegionalCMIP5 (all_rcp_scen, ttot, all_regi) |
XXX | x | |
| p16_tempGlobalCMIP5 (tall) |
global temperature | x | |
| p16_tempRegionalCalibrate2005 (all_regi) |
XXX | x | |
| p16_tempRegionalCMIP5 (tall, all_regi) |
regional temperature | x |
Sets
| description | |
|---|---|
| all_rcp_scen | all possible RCP scenarios |
| all_regi | all regions |
| in(all_in) | All inputs and outputs of the CES function |
| modules | all the available modules |
| regi(all_regi) | all regions used in the solution process |
| tall | time index |
| ttot(tall) | time index with spin up |
Authors
Anselm Schultes
See Also
References
Burke, Marshall, Solomon Hsiang, and Edward Miguel. 2015. “Global Non-Linear Effect of Temperature on Economic Production.” Nature 527: 235–39. https://doi.org/doi:10.1038/nature15725.
Schultes, Anselm, Gunnar Luderer, Franziska Piontek, Bjoern Soergel, Joeri Rogelj, Elmar Kriegler, and Ottmar Edenhofer. 2020. “Persistent Economic Damages Determine Social Costs of Carbon.”