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I find many researchers use Machine Learning Techniques and Algorithms to calculate the EvapoTranspiration, while there’s also the Penmann Monteith equation that gives us the result. Does this say we don’t need Penmann equation anymore?

Here is a research samples:

https://lahore.comsats.edu.pk/Papers/Abstracts/1210-8586787794296626450.pdf

https://www.tandfonline.com/doi/pdf/10.1623/hysj.54.5.918

Thanks

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  • $\begingroup$ Can you give examples of papers that have used machine learning techniques in this way? My hypothesis is that it is due to the ground heat flux, which is hard to measure. $\endgroup$ – BarocliniCplusplus Jul 23 at 16:04
  • $\begingroup$ Hi, I just edited my question and added a link to a paper. Thanks. $\endgroup$ – Tessnim Jul 24 at 7:19
  • $\begingroup$ I personally think, estimating only etp from ML may not be a very innovative research idea but as evapotranspiration plays a major role in water balance and water balance derives all major hydrological processes especially at catchment scale, combining/including evapotranspiration in a machine learning watershed scale hydrological model may prove useful. For example it can be used to maintain water balance in a machine learning based model. $\endgroup$ – Ather Cheema Aug 2 at 16:52

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