High‐resolution reference evapotranspiration for arid Egypt: Comparative analysis and evaluation of empirical and artificial intelligence models

Accurate estimation of evapotranspiration has crucial importance in arid regions like Egypt, which suffers from the scarcity of precipitation and water shortages. This study provides an investigation of the performance of 31 widely used empirical equations and 20 models developed using five artifici...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	International journal of climatology Ročník 42; číslo 16; s. 10217 - 10237
Hlavní autoři:	Sobh, Mohamed Tarek, Nashwan, Mohamed Salem, Amer, Nabil
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Chichester, UK John Wiley & Sons, Ltd 30.12.2022 Wiley Subscription Services, Inc
Témata:	Algorithms Arid regions Arid zones Artificial intelligence Comparative analysis Daily Empirical equations Estimates Evapotranspiration Evapotranspiration estimates Evapotranspiration models Fuzzy logic Group method of data handling machine learning Mathematical models MENA Minimum temperatures Modelling Neural networks Penman–Monteith equation potential evapotranspiration Radial basis function Radiation Relative humidity Resolution Spline functions Splines Statistical analysis Support vector machines Water scarcity Water shortages Wind speed Egypt
ISSN:	0899-8418, 1097-0088
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!