Abstract

This paper presents an overview of studies on
numerical analysis of various kinds of uncertainties in integrated models
climate and economy. Applications of uncertainty analysis techniques are considered as
for deterministic models (Monte Carlo experiments, sensitivity analysis),
and for stochastic models of climate and economy (stochastic dynamic
programming).