Inaccuracies in weather data and their effects on crop growth simulation results. II. Water-limited production

Abstract

In general, the crop growth model used was not sensitive to inaccuracies in vapour pressure data and wind speed and average data for these variables could be used to replace missing values. In dry years the model was sensitive to inaccuracies in precipitation and radiation data but less so to inaccuracies in air temperature. When water was not limiting the model was not sensitive to inaccuracies in precipitation, but was sensitive to inaccuracies in temperature and radiation data. Using of average values for temperature and global radiation led to large deviations in simulation results. -from Author