Turkish Journal of Agriculture: Food Science and Technology (Oct 2019)

Validation of The Weather Generator CLIGEN with Season Precipitation Data in Tokat Province

  • Saniye Demir,
  • İrfan Oğuz

DOI
https://doi.org/10.24925/turjaf.v7i10.1589-1596.2633
Journal volume & issue
Vol. 7, no. 10
pp. 1589 – 1596

Abstract

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In models that predict hydrologic, ecological and product-yield relationship, the climate interface file is widely used. Today, CLIGEN is the most widely used climate model. While this model is extensively used in many countries around the world, it is not used commonly in our country. In this study, daily data belonging to Tokat climate conditions were simulated with CLIGEN. Observed and simulated precipitation was classified as the wet/dry period. The performance of the CLIGEN climate model was evaluated in both wet and dry periods according to the seasons. The relationship between the obtained precipitation data was statistically determined by Kolmogorov-Smirnov and t-test. Tokat province is located in the arid and semi-arid climate zone. The performance of the model in predicting precipitation in all seasons during the dry period was found to be quite successful.

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