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Some essential about the Object Modelling System Bottazzi, Transpiration Theory and the Prospero component of GEOframe, M, Ph.D. Thesis David, O., Ascough II, J. C., Lloyd, W., Green, T. R., Rojas, K. W., Leavesley, G. H., & Ahuja, L. R. (2013). A software engineering perspective on environmental modeling framework design: The Object Modeling System. Environmental Modelling & Software, 39, 201-213. Fatichi, Simone, Enrique R. Vivoni, Fred L. Ogden, Valeriy Y. Ivanov, Benjamin Mirus, David Gochis, Charles W. Downer, et al. 2016. “An Overview of Current Applications, Challenges, and Future Trends in Distributed Process-Based Models in Hydrology.” Journal of Hydrology 537 (C): 45–60. Bottazzi, M., Bancheri, M., Mobilia, M., Bertoldi, G., Longobardi, A., & Rigon, R. (2021). Comparing Evapotranspiration Estimates from the GEOframe-Prospero Model with Penman–Monteith and Priestley-Taylor Approaches under Different Climate Conditions. Water, 13(9), 1221. Abera, W.W. (2016), Modelling water budget at a basin scale using JGrass-NewAge system. PhD thesis, University of Trento Bancheri, Marialaura (2017) A flexible approach to the estimation of water budgets and its connection to the travel time theory. PhD thesis, University of Trento. Bancheri, M., Serafin, F., & Rigon, R. (2019). The Representation of Hydrological Dynamical Systems Using Extended Petri Nets (EPN). Water Resources Research, 8(01), 159–27. http://doi.org/10.1029/2019WR025099 Bancheri, M., Rigon, R., & Manfreda, S. (2020). The GEOframe-NewAge Modelling System Applied in a Data Scarce Environment. Water, 12(1), 86–24. http://doi.org/10.3390/w12010086 Busti, R. - The implementation and testing of different modeling solutions to estimate water balance in mountain regions, Realatori, Formetta, G. e Rigon, R. Formetta, Giuseppe (2013) Hydrological modelling with components: the OMS3 NewAge-JGrass system. PhD thesis, University of Trento. Formetta, G., Antonello, A., Franceschi, S., David, O., & Rigon, R. (2014). Hydrological modelling with components: A GIS-based open source framework, 55(C), 190–200. http://doi.org/10.1016/j.envsoft.2014.01.019 Patta, C, Costruzione di un modello idrologico di stima della disponibilità idrica in area pedemontana, Tesi di laurea (in Italian), Politecnico di Torino, 2018 Addor, N., Newman, A. J., Mizukami, N., & Clark, M. P. (2017). The CAMELS data set: catchment attributes and meteorology for large-sample studies. Hydrology and Earth System Sciences, 21(10), 5293-5313. Dal Molin, Marco (2021). Improvement and application of flexible frameworks for modelling regional streamflow variability, Université de Neuchâtel. Molin, M. D., Schirmer, M., Zappa, M., & Fenicia, F. (2020). Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment. Hydrology and Earth System Sciences, 24(3), 1319-1345.
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