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  3. Impact model: LPS

Impact model: LPS

Sector
Labour
Region
global

Labour results are obtained using exposure response functions driven either bei Wet Bulb Globe Temperature (WBGT) or mean temperature. For labour productivity they are taken from the literature, for labour supply they are based on an empirical analysis. For further details please refer to Dasgupta et al. (2021), DOI: 10.1016/S2542-5196(21)00170-4

Information for the model LPS is provided for the simulation rounds shown in the tabs below. Click on the appropriate tab to get the information for the simulation round you are interested in.

Person responsible for model simulations in this simulation round
Franziska Piontek: piontek@pik-potsdam.de, 0000-0003-4305-7552, Potsdam-Institute for Climate Impacts Research (Germany)
Nicole van Maanen: n.a.m.van.maanen@vu.nl, 0000-0002-2599-0042, Vrije Universiteit Amsterdam (Netherlands)
Additional persons involved: Shouro Dasgupta, Simon Gosling
Basic information
Model Version: 2021
Reference Paper: Main Reference: Dasgupta S, van Maanen N, Gosling S, Piontek F, Otto C, Schleussner C et al. Effects of climate change on combined labour productivity and supply: an empirical, multi-model study. The Lancet Planetary Health,5,e455-e465,2021
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Vertically resolved: No
Temporal resolution of input data: climate variables: daily
Input data
Simulated atmospheric climate data sets used: IPSL-CM5A-LR, GFDL-ESM2M
Socio-economic data sets used: Future, gridded population, Historical, gridded population
Climate variables: hurs, tasmax, tas
Exceptions to Protocol
Exceptions: We first calculate present day levels of labour supply and labour productivity compared to the optimal level as given by the optimal temperature for each. They are the mean 1986-2005 levels. Future projections are then relative changes to this present day level, starting in 2006.
Spin-up
Was a spin-up performed?: No




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