Special Interpolation of Daily Meteorological Data: Theoretical Evaluation of Available Techniques.

摘要

The aim of the study was to assess the most reliable method for interpolation of daily means of sunshine, temperature, relative humidity, windspeed and precipitation. The measured data originated from approximately 200 weather stations of the European Community. These data have to be interpolated onto a regular grid of 50 X 50 sq km for use in a yield forecasting model. Therefore, the spatial and temporal variability of the meteorological variables was described. An inventory of possible interpolation techniques was made. Furthermore, literature was reviewed on the experience of interpolation techniques for meteorological variables. The conclusion was that most variables can satisfyingly be interpolated using simple linear interpolation techniques. The spatial variability of rainfall is more complex than the other variables. It is recommended to investigate the use of kriging for interpolation of daily precipitation means. (Copyright (c) 1991 DLO The Winand Staring Centre for Integrated Land, Soil and Water Research.)