Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions
- DOI
- 10.3390/atmos14010077
- Published
- 2022-12-30
- Container
- Atmosphere
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/atmos14010077,
title = {Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions},
author = {Hadeel E. Khairan and Salah L. Zubaidi and Yousif Raad Muhsen and Nadhir Al-Ansari},
year = {2022},
journal = {Atmosphere},
doi = {10.3390/atmos14010077},
url = {https://doi.org/10.3390/atmos14010077}
}RIS
TY - JOUR TI - Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions AU - Hadeel E. Khairan AU - Salah L. Zubaidi AU - Yousif Raad Muhsen AU - Nadhir Al-Ansari PY - 2022 JO - Atmosphere DO - 10.3390/atmos14010077 UR - https://doi.org/10.3390/atmos14010077 ER -
APA
Khairan, H. E., Zubaidi, S. L., Muhsen, Y. R., & Al-Ansari, N. (2022). Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions. Atmosphere. https://doi.org/10.3390/atmos14010077
Source records
- crossref · retrieved 2026-11-10T07:17:05.451Z