Regional climate models can provide useful insights for research on water-sector adaptation to climate change. Results are presented from a RegCM2 study that investigates the effect of a doubling of atmospheric carbon dioxide upon climate for a domain centred over California. By the expected...

Regional climate models can provide useful insights for research on water-sector adaptation to climate change. Results are presented from a RegCM2 study that investigates the effect of a doubling of atmospheric carbon dioxide upon climate for a domain centred over California. By the expected...

In this paper we show that both climate models and economic models studying the effects of climate change are characterized by high uncertainty. Hence, far reaching policy implications such as the net zero goal lack a definite scientific foundation. Neverthelss, it cannot be excluded that the...

This paper is based on a World Bank–sponsored effort to develop a global estimate of adaptation costs, considering the implications of global climate change for industrial forestry. It focuses on the anticipated impacts of climate change on forests broadly, on industrial wood production in...

Estimates of marginal abatement costs for reducing carbon emissions derived from major economic-energy models vary widely. Controlling for policy regimes, we use meta-analysis to examine the importance of structural modeling choices in explaining differences in estimates. The analysis indicates...

We study trends and temporal correlations in the monthly mean temperature data of Prague and Melbourne derived from four state-of-the-art general circulation models that are currently used in studies of anthropogenic effects on the atmosphere: GFDL-R15-a, CSIRO-Mk2, ECHAM4/OPYC3 and HADCM3. In...

Both the equilibrium interest rate and the equity premium, as well as risk premiums of risky investments are all important quantities in cost-benefit analyses. In the light of the current (2008 -) financial crisis, it is of interest to study models that connect the the financial sector with the...

Using detrended fluctuation analysis, we study the scaling properties of the volatility time series Vi=|Ti+1−Ti| of daily temperatures Ti for 10 chosen sites around the globe. We find that the volatility is long-range power-law correlated with an exponent γ close to 0.8 for all sites...