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Enhancing Pan Evaporation Predictions: Accuracy and Uncertainty in Hybrid Machine Learning Models

Amir Naghibi

CMES Researcher Amir Naghibi has co-authored an article in Ecological Informatics.

"Enhancing Pan Evaporation Predictions: Accuracy and Uncertainty in Hybrid Machine Learning Models"

Ecological Informatics, Volume 85, 2025.

Introduction

Evaporation, as an important process in the hydrological cycle, plays a pivotal role in management of water resource and agricultural activities, particularly in arid and semi-arid regions such as the Middle East. This study implements several Machine Learning and Deep Learning algorithms for forecasting evaporation leading to superior performances.

Read the full article here.

Read more about Amir Naghibi's research here.