English Abstract Environmental simulation models usually require weather
data as boundary conditions. Observed time series of weather data sometimes
are absent or too short for long term model runs. In cases of predictions,
future weather data are needed. For both purposes an automated procedure
for generation of daily weather data, with realistic statistical properties,
is useful. In this report a description is given of a method to generate
time series of daily weather data: temperature, evaporative demand and
precipitation. Statistical characteristics for these weather variables are
derived from measured data series in the Netherlands. Using these
statistical properties, artificial data series can be generated by the
computer program METEOGEN. In order to generate weather data for a specific
location in the Netherlands, annual means of temperature, evaporation demand
and precipitation are required. The generated time series are tested
against observed data, and prove to be compatible in most respects. Where
discrepancies are detected, recommendations are made to improve METEOGEN.
User guidelines and a program description are given of METEOGEN version 1.0.
METEOGEN is written in portable code: ANSI standard FORTRAN77, and can be
used on a variety of systems.
