دورية أكاديمية

Utilizing Machine Learning Models with Limited Meteorological Data as Alternatives for the FAO-56PM Model in Estimating Reference Evapotranspiration

التفاصيل البيبلوغرافية
العنوان: Utilizing Machine Learning Models with Limited Meteorological Data as Alternatives for the FAO-56PM Model in Estimating Reference Evapotranspiration
المؤلفون: Amani, Shima, Shafizadeh-Moghadam, HosseinAff1, IDs11269023036702_cor2, Morid, Saeid
المصدر: Water Resources Management: An International Journal - Published for the European Water Resources Association (EWRA). 38(6):1921-1942
قاعدة البيانات: Springer Nature Journals
الوصف
تدمد:09204741
15731650
DOI:10.1007/s11269-023-03670-2