Development of a temperature-based model using machine learning algorithms for the projection of evapotranspiration of peninsular Malaysia
Reliable projections of evapotranspiration (ET) are important for agricultural and water resources development, planning, and management. However, ET projections using well established empirical models suffer from uncertainty due to their dependency on many climatic variables. This study aimed to de...
Saved in:
Main Authors: | Muhammad, Mohd. Khairul Idlan, Shahid, Shamsuddin, Hamed, Mohammed Magdy, Harun, Sobri, Ismail, Tarmizi, Wang, Xiaojun |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/104706/1/MohdKhairulIdlan2022_DevelopmentofaTemperature-BasedModel.pdf http://eprints.utm.my/104706/ http://dx.doi.org/10.3390/w14182858 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ranking of empirical evapotranspiration models in different climate zones of Pakistan
by: Hamed, Mohammed Magdy, et al.
Published: (2022) -
Symbolic regression model for reliable estimation and projections of evapotranspiration
by: Muhammad, Mohd. Khairul Idlan
Published: (2022) -
Evaluation of empirical reference evapotranspiration models using compromise programming: A case study of Peninsular Malaysia
by: Muhammad, Mohd. Khairul Idlan, et al.
Published: (2019) -
Diminishing evapotranspiration paradox and its cause in the Middle East and North Africa
by: Hamed, Mohammed Magdy, et al.
Published: (2023) -
Projection of hot and cold extremes in the Amu River Basin of Central Asia using GCMs CMIP6
by: Salehie, Obaidullah, et al.
Published: (2022)