Forecasting Reference Evapotranspiration Using LSTM and Transformer
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68650-4_26
Reference19 articles.
1. Miralles, D.G., Brutsaert, W., Dolman, A.J., Gash, J.H.: On the use of the term “Evapotranspiration”. Water Resour. Res. 56(11), e2020WR028055 (2020). https://doi.org/10.1029/2020WR028055
2. Gharbia, S.S., Smullen, T., Gill, L., Johnston, P., Pilla, F.: Spatially distributed potential evapotranspiration modeling and climate projections. Sci. Total. Environ. 633, 571–592 (2018). https://doi.org/10.1016/j.scitotenv.2018.03.208
3. Cai, J., Liu, Y., Lei, T., Pereira, L.S.: Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages. Agric. For. Meteorol. 145(1–2), 22–35 (2007)
4. Sheffield, J., et al.: A drought monitoring and forecasting system for sub-Sahara African water resources and food security. Bull. Am. Meteor. Soc. 95(6), 861–882 (2014)
5. Zhao, T., Wang, Q.J., Schepen, A., Griffiths, M.: Ensemble forecasting of monthly and seasonal reference crop evapotranspiration based on global climate model outputs. Agric. For. Meteorol. 264, 114–124 (2019)
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