Open AccessThe use of numerical weather forecast model predictions as a source of data for irrigation modelling
Author(s) -
Venäläinen A.,
Salo T.,
Fortelius C.
Publication year - 2005
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1017/s135048270500188x
Subject(s) - environmental science , evaporation , precipitation , numerical weather prediction , meteorology , model output statistics , irrigation , mean squared error , potential evaporation , atmospheric sciences , climatology , mathematics , statistics , geology , ecology , physics , biology
The use of numerical weather forecast model data as a source of data for soil moisture modelling was tested. Results show that the potential evaporation calculated using the Penman‐Monteith equation can be estimated accurately using data obtained from the output of a high resolution numerical atmospheric model (HIRLAM, High Resolution Limited Area Model). The mean bias error was 0.26 mm for a 36‐hour sum and the root mean square error was 2.14 mm. The evaporation obtained directly from HIRLAM was systematically smaller because this direct model output represents the real evaporation rather than the potential evaporation. The precipitation forecasts were less accurate. When the accuracy of parameters required for the calculation of potential evaporation were studied for one station, no serious bias was found. When two different irrigation models (AMBAV and SWAP) were run over one summer using either measured or HIRLAM data as the input, the results given by the models were quite similar regardless of input data source. The largest differences between the model outputs were caused by the formulation of crop and soil characteristics in the irrigation models. Copyright © 2005 Royal Meteorological Society