The Vandaclim Simulation Model: A Training Tool for Climate Change Vulnerability and Adaptation Assessment

This paper describes a training course on climate change vulnerability and adaptation assessment. The course, developed in partnership with the CC:TRAIN Programme of the United Nations Institute for Training and Research (UNITAR), aims to enhance the capacity of developing countries to make their national communications to the United Nations Framework Convention on Climate Change. The paper focuses on a simulation model called VANDACLIM, which was developed as a pedagogical tool to facilitate the training. Four sectors are modelled within VANDACLIM (agriculture, public health, water resources, and coastal zone) and are used as a basis for helping to conduct an integrated, multi-sectoral assessment for the imaginary, sub-tropical country of Vanda. The learning-by-doing approach, encapsulated in the application of VANDACLIM to complete a mini-assessment for Vanda, proved to be very successful when trialled at a training workshop in Zimbabwe. Both the training course and VANDACLIM have been adapted subsequently for application in small island states and plans are underway for extension to other environments and regions of the world.     

The impact of global warming on winter tourism and skiing: a regionalised model for Austrian snow conditions

Possible climate change will modify snow-cover depth and change the characteristics of winter tourism and skiing districts. Our model describes seasonal snow-cover depth related to altitude in six Alpine climate regions as the best fit of all snow stations. Data cover 30 winter seasons (November to April values) from 1965 to 1995. We modified the data according to a scenario of temperature and precipitation change (2 °C warming, no precipitation change) and achieve a new simulated snow-cover depth. The indicators MARP (mean altitude of resident population) and MASPSL (mean altitude of starting point of ski lifts) serve as references for “critical altitudes” of Austrian districts. A warming implies a reduction of snow in all districts, but the loss is overproportional in lower altitudes. The direction of economic impacts is clear – income losses and adaptation costs – but magnitude and time frames remain uncertain. Received: 24 February 1999 · Accepted: 15 May 1999