On virtual observatories and modelled realities (or why discharge must be treated as a virtual variable)

Hydrological Processes

Volumn 26, Issue 12, 2012, Pages 1905-1908

  Beven, Keith ^a,c,d   Buytaert, Wouter ^b   Smith, Leonard A ^c,e  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c LONDON SCHOOL OF ECONOMICS   (United Kingdom)

^d UPPSALA UNIVERSITY   (Sweden)

^e UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84862016637     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.9261     Document Type: Note

References (18)

1. Beven KJ. 2006. A manifesto for the equifinality thesis. Journal of Hydrology 320: 18-36.
2. Beven KJ. 2007. Working towards integrated environmental models of everywhere: uncertainty, data, and modelling as a learning process. Hydrology and Earth System Sciences 11(1): 460-467.
3. Beven KJ. 2009. Environmental Modelling: An Uncertain Future? Routledge: London.
4. Beven KJ. 2010. Preferential flows and travel time distributions: defining adequate hypothesis tests for hydrological process models. Hydrological Processes 24: 1537-1547.
5. Beven KJ. 2011. I believe in climate change but how precautionary do we need to be in planning for the future? Hydrological Processes 25: 1517-1520. DOI: 10.1002/hyp.7939.
6. Beven KJ, Cloke HL. 2012. Defining Grand Challenges in hydrology: A comment on Wood et al. (2011) Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water. Water Resources Research, W01801. DOI: 10.1029/2011WR010982.
7. Beven KJ, Westerberg I. 2011. On red herrings and real herrings: disinformation and information in hydrological inference. Hydrological Processes 25: 1676-1680. DOI: 10.1002/hyp.7963.
8. Buytaert W, Beven KJ. 2011. Models as multiple working hypotheses: Hydrological simulation of tropical alpine wetlands. Hydrological Processes 25: 1784-1799.
9. Herschy RW. 2009. Streamflow Measurement, 3rd edn. Taylor and Francis: Abingdon.
10. Howson C. 2003. Hume's Problem: Induction and the Justification of Belief. Clarendon Press: Oxford.
11. Lane S, Odoni N, Landström C, Whatmore SJ, Ward N, Bradley S. 2011. Doing flood risk science differently: an experiment in radical scientific method. Transactions of the Institute of British Geographers 36: 15-36.
12. Lorenz E. 1985. The growth of errors in prediction. In Turbulence and Predictability in Geophysical Fluid Dynamics, Ghil M (ed.). North Holland: Amsterdam; 243-265.
13. Parker WS. 2010. Whose Probabilities? Predicting Climate Change with Ensembles of Models. Philosophy of Science 77(5): 985-997.
14. Smith LA. 2000. Disentangling Uncertainty and Error: On the Predictability of Nonlinear Systems. In Nonlinear dynamics and statistics, Mees AI (ed.). Birkhauser: Boston; 31-64.
15. Smith LA. 2006. Predictability past predictability present. In Predictability of weather and climate, Palmer T, Hagedorn R (eds.). Cambridge University Press: Cambridge, UK; 217-250.
16. Smith LA, Stern N. 2011. Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A 369: 1-24.
17. Westerberg I, Guerrero J-L, Seibert J, Beven KJ, Halldin S. 2011. Stage-discharge uncertainty derived with a non-stationary rating curve in the Choluteca River, Honduras. Hydrol Process 25: 603-613, DOI: 10.1002/hyp.7848.
18. Wood EF, Roundy JK, Troy TJ, van Beek R, Bierkens M, Blyth E, de Roo A, Doell P, Ek M, Famiglietti J, Gochis D, van de Giesen N, Houser P, Jaffe P, Kollet S, Lehner B, Lettenmaier DP, Peters-Lidard C, Sivapalan M, Sheffield J, Wade A, Whitehead P. 2011. Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water. Water Resources Research 47: W05301. DOI: 10.1029/2010WR010090.