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GTAP Resource #7036

"The META 21 Integrated Assessment Model in GAMS and LHS Sampling"
by van der Mensbrugghe, Dominique


Abstract
The META 21 Integrated Assessment Model (Dietz et al., 2021) represents a fairly comprehensive climate change simulation model incorporating a number of features: (a) a recent simple climate model; (b) down-scaling of temperature change to the country level; (c) integration of a number of bio-physical tipping points linked to rising temperatures; and (d) economic damages linked to rising sea levels and temperature using recent country-level estimates from the literature. The original implementation of META 21 was in Excel and linked to the @Risk Excel add-in for performing Monte Carlo-type analysis. This paper reflects a translation of META 21 into GAMS. One of the key purposes is to allow for ready incorporation of many of the features of META 21 into other models—notably CGE-based IAMs. To replace the features provided by the @Risk Excel add-in, this paper also introduces a software package that produces random deviates—and, similar to @Risk, uses the Latin Hypercube Sampling (LHS) approach, which is a stratified sampling technique intended to cover the entire sampling space efficiently and, in addition, orders the sample to reflect a desired correlation matrix for the sampled random variables.


Resource Details (Export Citation) GTAP Keywords
Category: Working Paper
Status: Published
By/In: GTAP Working Paper No. 95
Date: 2023
Version: 1
Created: van der Mensbrugghe, D. (5/8/2023)
Updated: Batta, G. (5/8/2023)
DOI: https://doi.org/10.21642/GTAP.WP95
Visits: 817
- Model extension/development
- Software and modeling tools
- Climate impacts


Attachments
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Public Access
  File format GAMS code for META 21 model and input data files  (786.7 KB)   Replicated: 0 time(s)
  File format GTAP Working Paper No. 95  (1.2 MB)   Replicated: 0 time(s)
  File format META 21 SSP Database  (2.6 MB)   Replicated: 0 time(s)


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Last Modified: 9/15/2023 2:05:45 PM