Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system

By Keith Beven. 2002

417 citations recorded by the source corpus.

Subfields: Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/14ff1b23edc019087d53e2b8c65ce1b396e9faa6

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Citations in the corpus

Modelling guidelinesterminology and guiding principles (2004, background): “Modelling guidelines like [25,37] almost exclusively address the former issue while scientific literature like [7,9] focus on the latter issue.”
A manifesto for the equifinality thesis (2006, background): “…to be defined, the values of which will require calibration – but often without additional data being collected with the aim of determining those values (and in many cases, of course, direct measurement of parameters at the scale required by the model may not be possible, see Beven, 1989, 2002a,b).”
A process‐based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model (2008, background): “However, controversy regarding the use of distributed modeling persists [Beven, 1989, 2002; Grayson et al., 1992].”
Pursuing the method of multiple working hypotheses for hydrological modeling (2011, background): “[20] In recognition of the Popperian principle of falsification of testable hypotheses [Popper, 1959], a number of ‘‘rejectionist’’ frameworks have been proposed in hydrological sciences [e.g., Beven, 2002; Vaché and McDonnell, 2006].”
Large-sample hydrology: a need to balance depth with breadth (2013, background): “On the one hand, such difficulties have contributed to the counter notion of “uniqueness of place” (Beven, 2000), and that the model structure should adapt to reflect spatial differences in the dominant hydrologic processes.”
Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis (2003, neutral): “Oreskes et al., 1994; Popper, 1999; Beven, 2001 ).”
Physics‐based hydrologic‐response simulation: Seeing through the fog of equifinality (2006, background): “…the equifinality problem for hydrology and related disciplines (also see Haines-Young and Petch, 1983; Culling, 1987; Aronica et al., 1998; Hankin and Beven, 1998; Schulz et al., 1999; Beven, 2000, 2002a,b; Brazier et al., 2000; Beven and Freer, 2001; Hreiche et al., 2002; Binley and Beven, 2003).”
Causes and consequences of error in digital elevation models (2006, methodology): “The GLUE model (generalized likelihood uncertainty estimation), proposed and investigated extensively by Beven (2002), is primarily intended for analysis of parameter sensitivity, and has been used in a number of applications where digital records of elevation are important, such as hydrological…”
Extension of the representative elementary watershed approach for cold regions via explicit treatment of energy related processes (2006, background): “The hydrological literature is replete with reviews and discussions of the advantages and limitations of physically-based distributed models (Beven, 1989, 1993, 1996, 2002; Grayson et al., 1992; Smith et al., 1994; Woolhiser, 1996; Refsgaard et al., 1996; Singh and Woolhiser, 2002).”
The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism. (2017, neutral): “…approach to process-based hydrologic modeling [Wood et al. 1988; Grayson et al. 1992b, 1992a; Famiglietti and Wood 1995; Reggiani et al. 1998; Beven 2002; Sivapalan et al. 2003; Maxwell and Miller 2005; Wood et al. 2011; Beven and Cloke 2012; Wood et al. 2012], with the debate centered…”
CURVE NUMBER HYDROLOGY IN WATER QUALITY MODELING: USES, ABUSES, AND FUTURE DIRECTIONS 1 (2005, background): “There are, of course, still some scientific issues to be resolved (reflected, for example, in the recent remarks of Beven, 2002, and Jetten et al., 2003), but there has been enough progress in these areas to provide some clear directions.”
Searching for the Holy Grail of scientific hydrology: Q t =( S, R, Δt ) A as closure (2006, methodology): “…is possible at all) would be the deﬁning act of scientiﬁc hydrology (it would not be the end of scientiﬁc hydrology as there would still be some interesting problems associated with applying that solution to di ﬀ erent applications in di ﬀ erent places, see, for example, Beven, 2000, 2002).”
Influence of uncertain boundary conditions and model structure on flood inundation predictions. (2006, methodology): “In this approach, the two equations are used as equally valid representations of this extrapolation, because it is not possible to distinguish between the different model structures [66,67].”
Towards a comprehensive assessment of model structural adequacy (2012, background): “Others have advanced analogous critiques of physics-based modeling approaches (Beven 2002; Kirchner 2006) and some in the SW community have argued the need for a unified theory of hydrology at the catchment scale (Reggiani et al.”