Evaluation of CRU TS, GPCC, AgMERRA, and AgCFSR meteorological datasets for estimating climate and crop variables: A case study of maize in Qazvin Province …

F Gorgin Paveh, H Ramezani Etedali, B Collins - Journal of Arid Land, 2022 - Springer
In the past few decades, meteorological datasets from remote sensing techniques in
agricultural and water resources management have been used by various researchers and …

Estimating wheat production in west Iran using a simple water footprint approach

H Ramezani Etedali, M Kalanaki, P van Oel… - Environment …, 2024 - Springer
In this study, a simple approach for comparing future water footprints (WF) has been
presented. Six General Circulation Models (GCMs) for three Representative Concentration …

Evaluation of meteorological datasets in estimating the water footprint components of wheat and maize (case study: Qazvin, Iran)

H Ramezani-Etedali, F Gorginpaveh… - AIMS Agriculture …, 2024 - research.usq.edu.au
Given the critical role of precise meteorological parameter estimation in water resources
management, particularly concerning the water footprint (WF) concept and considering the …

[引用][C] Identifying potential rainfed fields for supplementary irrigation in Qazvin province

RE Hadi, F GorginPaveh… - Water …, 2022 - Iranian Irrigation and Drainage …