GTAP Resources: Resource Display
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"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. |
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- Climate impacts - Model extension/development - Software and modeling tools |
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If you have trouble accessing any of the attachments below due to disability, please contact the authors listed above.
Public Access  GAMS code for META 21 model and input data files (786.7 KB) Replicated: 0 time(s) GTAP Working Paper No. 95 (1.2 MB) Replicated: 0 time(s) META 21 SSP Database (2.6 MB) Replicated: 0 time(s)Restricted Access No documents have been attached. Special Instructions No instructions have been specified. |
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Last Modified: 9/15/2023 1:05:45 PM
