1 Randomly drawing from a hypercube in Matlab. 3 Generating multivariate normally distributed random numbers in Matlab. 0 Generate Normal random numbers with deviation form 0.02 to 0.2 in matlab. To replace the features provided by the Excel add-in, this paper also introduces a software package that produces random deviates-and, similar to 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. Latin Hypercube Sampling from a Normal Distribution (Matlab) 1 Matlab: Latin Hypercube. 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. This paper reflects a translation of META 21 into GAMS. The original implementation of META 21 was in Excel and linked to the Excel add-in for performing Monte Carlo-type analysis. 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 META 21 Integrated Assessment Model in GAMS and LHS Sampling'
