Climate Change Local Scenarios for Brasov Area Established by Statistical Downscaling

Authors

  • Victor Dan Pacurar Transilvania University of Brasov, Romania

Keywords:

climate change, SRES-A2 and B2, local scenarios, transfer functions

Abstract

The paper presents an example of a statistical downscaling application for establishing local climate change information for Brasov area, using SDSM software. This kind of detailed daily data are required for analysing the possible impacts on forest ecosystems. Daily maximum and minimum temperatures respectively rainfall amounts, in the 2020-2050 interval, were generated for the SRES-A2 and B2 scenarios, using the HadCM3 simulation results for the grid containing the study area and a transfer function fitted to match the local weather data. The analysis of the simulated data sets outlines the importance of such information for impact studies.

Author Biography

Victor Dan Pacurar, Transilvania University of Brasov, Romania

Dept. of Silviculture

Published

2008-12-02

Issue

Section

FORESTRY