A modified temperature based model for estimation of potential evapotranspiration over Ghataprabha river basin, south India
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s41324-023-00517-1.pdf
Reference52 articles.
1. Anapalli, S. S., Fisher, D. K., Reddy, K. N., Rajan, N., & Pinnamaneni, S. R. (2019). Modeling evapotranspiration for irrigation water management in a humid climate. Agricultural Water Management, 225(July), 105731. https://doi.org/10.1016/j.agwat.2019.105731.
2. Carvalho, L. G. de, Evangelista, A. W. P., Oliveira, K. M. G., Silva, B. M., Alves, M. de C., Júnior, A. de S., and Miranda, W. L. (2013). FAO Penman-Monteith equation for reference evapotranspiration from missing data. Idesia (Arica), 31(3), 39–47. https://doi.org/10.4067/S0718-34292013000300006.
3. Labędzki, L., & Kanecka-Geszke, E. (2011). Estimation of Reference Evapotranspiration using the FAO Penman-Monteith Method for Climatic Conditions of Poland. Evapotranspiration, 275–290. https://doi.org/10.5772/14081
4. Malamos, N., Barouchas, P. E., Tsirogiannis, I. L., Liopa-Tsakalidi, A., & Koromilas, T. (2015). Estimation of monthly FAO Penman-Monteith evapotranspiration in GIS environment, through a geometry independent algorithm. Agriculture and Agricultural Science Procedia, 4, 290–299. https://doi.org/10.1016/j.aaspro.2015.03.033.
5. Xianghui, L., Hua, Bai,. and, & Xingmin, M. (2016). Explaining the evaporation paradox in Jiangxi Province of China: Spatial distribution and temporal trends in potential evapotranspiration of Jiangxi Province from 1961 to 2013. International Soil and Water Conservation Research, 4(1), 45–51. https://doi.org/10.1016/j.iswcr.2016.02.004.
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