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Journals / Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Dergisi / 2020 / Cilt: 37 - Sayı: 1

Forecasting Reference Evapotranspiration by ARIMA Approach

Referans Evapotrasprasyonun Tahmin Edilmesinde ARIMA Yaklaşımı

Kadri YUREKLI
Pages
17–22
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The models have very close parsimony values depending on AIC and SBC criteria.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The effort in the study is on forecasting reference evapotranspiration (ETo) by the SARIMA models.
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Key Findings & Data:This was accomplished by using monthly ETo dataset obtained based on some parameters from meteorology station of Konya province.
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Conclusion & Impact:The models have very close parsimony values depending on AIC and SBC criteria.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Referans Evapotranspirasyon · ARIMA Yaklaşımı · AIC

Abstract

The effort in the study is on forecasting reference evapotranspiration (ETo) by the SARIMA models. This was accomplished by using monthly ETo dataset obtained based on some parameters from meteorology station of Konya province. Stationary of the ETo dataset was fulfilled with differencing. Three SARIMA models that provides all conditions for the stationary data set were identified. The models have very close parsimony values depending on AIC and SBC criteria.

Özet

Çalışmadaki amaç SARIMA modellerle referans evapotranspırasyonun (ETo) tahmin edilmesi üzerinedir. Bu Konya meteoroloji istasyonunun bazı parametrelerine bağlı olarak elde edilen aylık ETo veri seti kullanılarak gerçekleştirilmiştir. ETo veri setinin durağanlığı fark alınarak sağlanmıştır. Durağan seri için bütün koşulları yerine getiren üç SARIMA modeli tanımlanmıştır. Bu modeller AIC ve SBC kriterlerine göre çok yakın tutumluluk (parsimony) değerlerine sahip olmuşlardır.

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Cite This Article

YUREKLI, K. (2020). Forecasting Reference Evapotranspiration by ARIMA Approach. Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Dergisi, Cilt: 37 - Sayı: 1, 17–22. https://ajindex.com/articles/224494

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