GLUE papers - the complete known list to date
Papers are listed here that are known by Lancaster University to include the
GLUE technique or have been written by authors associated with the NERC Long
Term Grant scheme (Project no. NER/L/S/2001/00658). This therefore includes 3
sections, the first identifies papers with an author connection that was at
Lancaster University (collaborating or member of staff), the second includes all
other papers that do not have an author link with Lancaster but do use the GLUE
technique. The final third section gives all papers published before 2002. The list
does not include any papers in review or in submission.
2. Kettle, H and Beven, K J, 2002, Fuzzy Rules Based Model for Solute Dispersion in an Open Channel Dead Zone, Journal of Hydroinformatics, 4(1), 39-51
3. Kettle, H, Hankin, B and Beven , K, 2002, Fuzzy Rule-based Model for Contaminant Transport in a Natural River Channel, Journal of Hydroinformatics, 4(1), 53-62.
4. Beven, K. J., 2002, Towards an alternative blueprint for a physically-based digitally simulated hydrologic response modelling system, Hydrol. Process., 16(2), 189-206.
5. Blazkova, S., Beven, K. J., and Kulasova, A., 2002, On constraining TOPMODEL hydrograph simulations using partial saturated area information, Hydrol. Process., 16(2), 441-458.
6. Beven, K J, 2002, Towards a coherent philosophy for environmental modelling, Proc. Roy. Soc. Lond. A, 458, 2465-2484.
7. Hankin, B.G., Holland, M.J., Beven, K.J., Carling, P.A., 2002, Computational fluid dynamics modelling of flow and energy fluxes for a natural fluvial dead zone, Journal of Hydraulic Research, 40(4), 389-401.
8. Martínez-Vilalta, J, Piñol, J and Beven, K J, 2002, A hydraulic model to predict drought-induced mortality in woody plants: an application to climate change in the Mediterranean, Ecological Modelling, 155, 127-147, 2002.
9. Beven, K. J., Musy, A. and Higy, C., 2002, Tribune Libre: L'unicité de lieu, d'action et de temps, Revue de Sciences de l'Eau, 14(4), 525-533.
10. Blazkova, S and Beven, K J, 2002, Flood Frequency Estimation by Continuous Simulation for a Catchment treated as Ungauged (with Uncertainty), Water Resources Research 38(8), 10.1029/2001WR000500.
11. Blazkova, S, Beven, K, Tacheci, P and Kulasova, A, 2002, Testing the distributed water table predictions of TOPMODEL (allowing for uncertainty in model calibration): the death of TOPMODEL?, Water Resources Research, 38(11), W01257, 10.1029/2001WR000912
12. Peters, N. E., Freer, J E and Beven, K J, 2003, Modelling hydrologic responses in a small forested catchment (Panola Mountain, Georgia, USA): a comparison of the original and a new dynamic TOPMODEL, Hydrological Processes, 17(2), 345-362
13. Schulz, K., and Beven, K., 2003. Data-supported robust parameterisations in land surface - atmosphere flux predictions: towards a top-down approach, Hydrol. Process., 17, 2259-2277.
14. Romanowicz, R. and Beven, K. J., 2003, Bayesian estimation of flood inundation probabilities as conditioned on event inundation maps, Water Resources Research, 39(3), W01073, 10.1029/2001WR001056
15. Binley, A and Beven, K J, 2003, Vadose zone model uncertainty as conditioned on geophysical data, Ground Water, 41(2), 119-127.
16. Page, T, Beven, K J, Freer, J and Jenkins, A, 2003, Investigating the uncertainty in predicting responses to atmospheric deposition using the Model of Acidification of Groundwater in Catchments (MAGIC) within a Generalised Likelihood Uncertainty Estimation (GLUE) framework, Water, Air, Soil Pollution, 142, 71-94.
17. Beven, K J and Pappenberger, F, 2003, Discussion of "Towards the hydraulics of the hydroinformatics era" by M B Abbott et al., J. Hydraul. Res. 41(3), 331-336.
18. Beven, K J and Young, P C, 2003, Comment on Bayesian Recursive Parameter Estimation for Hydrologic Models by M Thiemann, M Trosset, H Gupta and S Sorooshian, Water Resources Research,3 9(5), doi: W01116, 10.1029/2001WR001183 19. Page, T., Beven, K.J. and Whyatt, D. 2004. Predictive Capability in Estimating Changes in Water Quality: Long-Term Responses to Atmospheric Deposition. Water Soil and Air Pollution, 151, 215-244.
20. Bates, P. D., Horritt, M. S., Aronica, G. and Beven, K J, 2004, Bayesian updating of flood inundation likelihoods conditioned on flood extent data, Hydrological Processes, 18, 3347-3370.
21. Freer, J, McMillan, H, McDonnell, J J and Beven, K J, 2004, Constraining Dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures, J. Hydrology., 291, 254-277
22. Blazkova, S and Beven, K J, 2004, Flood frequency estimation by continuous simulation of subcatchment rainfalls and discharges with the aim of improving dam safety assessment in a large basin in the Czech Republic, J. Hydrology, 292, 153-172
23. Page, T., Whyatt, D., Beven, K.J. and Metcalfe, S.E.: 2004. Uncertainty in Modelled Estimates of Acid Deposition across Wales: A GLUE Approach. Atmospheric Environment, 38(14), 2079-2090.
24. Payraudeau, S., Cernesson, F., M. G. Tournoud and K. J. Beven, 2004. Modelling nitrogen loads at the catchment scale under the influence of land use, Physics and Chemistry of the Earth, Parts A/B/C, 29 (11-12), 811-819.
25. Mo, X. and Beven, K J, 2004, Multi-objective parameter conditioning of a three-source wheat canopy model, Agric. Forest. Met., 122, 39-63.
26. Romanowicz, R, and Beven, K J, 2004, Comments on GLUE, Proceedings, SAMO2004, Los Alamos, NM.
27. Piñol, J., K. J. Beven, & D.X. Viegas, 2004, Modelling the effect of fire-exclusion and prescribed fire on wildfire size in Mediterranean ecosystems. Ecological Modelling, 183, 397-409.
28. Pappenberger, F, Beven, K J, de Roo, A., Thielen, J., and Gouweleeuw, G, 2004, Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE), J. River Basin Management, 2, 123-133.
29. Beven, K J, 2004, Reply to " The emergence of a new kind of relativism in environmental modeling: a commentary" by P. Baveye, Proc. Roy. Soc. Lond. A, 460: 2147-2151.
30. Pappenberger, F., Beven, K., Horritt, M., Blazkova, S., 2005, Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations, Journal of Hydrology, 302, 46-69.
31. Pappenberger, F., Beven, K.J., Hunter N., Gouweleeuw, B., Bates, P., de Roo, A., Thielen, J., 2005, Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS). Hydrology and Earth System Science, 9(4),381-393.
32. Iorgulescu, I, Beven, K J and Musy, A, 2005, Data-based modelling of runoff and chemical tracer concentrations in the Haute-Menthue (Switzerland) research catchment, Hydrological Processes, 19, 2557-2574.
33. Joerin, C, Beven, K J, Musy, A, and Balin Talamba, D, 2005, Study of hydrological processes by the combination of environmental tracing and hillslope measurements: application to the Haute-Menthue catchment, Hydrological Processes, 19, 3127-3145.
34. Mo, X, Beven, K J, Liu, S, Leslie, L M and De Roo, A P J, 2004, Long term water budget estimation with the modified distributed model LISFLOOD-WB over the Lushi basin, China, Meteorology and Applied Physics, 90(1-2), 1-16.
35. Beven, K J, 2005, On the concept of model structural error, Water Science and Technology, 52(6), 165-175.
36. Page, T., Beven, K.J. and Freer, J., 2006, Modelling the Chloride Signal at the Plynlimon Catchments, Wales Using a Modified Dynamic TOPMODEL. Hydrological Processes, in press.
37. Vigiak, O, Romanowicz, R J, van Loon, E E, Sterk, G and Beven, K J, 2006, A disaggregating approach to describe overland flow occurrence in a catchment, J. Hydrol., 323, 22-40.
38. Beven, K J, Zhang, D, and Mermoud, A, 2006, On the value of local measurements on prediction of pesticide transport at the field scale. Vadoze Zone Journal, 5: 222-233.
39. Beven, K J, 2006, A manifesto for the equifinality thesis, J. Hydrology, 320, 18-36.
40. Mo, X, Pappenberger, F, Beven, K J, Liu, S, de Roo, A and Lin, Z, 2006, Panoramic analysis of parameter conditioning and prediction uncertainties of the LISFLOOD-WB distributed hydrological model, Hydrological Sciences J., 51, 45-65.
41. Beven, K J, 2006, Working towards integrated environmental models of everywhere: uncertainty, data, and modelling as a learning process. Hydrology and Earth System Science, in press.
42. Pappenberger, F, Matgen, P, Beven, K J, Henry J-B, Pfister, L and de Fraipont, P, 2006, Influence of uncertain boundary conditions and model structure on flood inundation predictions, Advances in Water Resources, in press
43. Smith, P. J., Beven, K J, Tawn, J, Blazkova, S and Merta, L, 2006, Discharge dependent pollutant dispersion in rivers: estimation of ADZ parameters with surrogate data. Water Resources Research, 42, W04412, doi:10.1029/2005WR004008.
44. Zhang, D, Beven, KJ and Mermoud, A, 2006, A comparison of nonlinear least square and GLUE for model calibration and uncertainty estimation for pesticide transport in soils. Advances in Water Resources, in press
45. Iorgulescu, I, Beven, K J and Musy, A, 2006, Hypothesis testing hydrological responses using a data-based hydrochemical model and conservative tracer data, Water Resources Research, in press
46. Beven, K J, 2006, The Holy Grail of Scientific Hydrology: as closure, Hydrology and Earth Systems Science, in press.
47. Gallart, G, Latron, J, Llorens, P, Beven, K J, 2006, Using internal catchment information to reduce the uncertainty of discharge and baseflow prediction, Advances in Water Research, in press
48. Choi, H T and Beven, K J (2006) Multi-period and Multi-criteria Model Conditioning to Reduce Prediction Uncertainty in Distributed Rainfall-Runoff Modelling within GLUE framework, J. Hydrology, in press
49. Beven, K J, Page T and McGechan, M, 2006, Uncertainty estimation in phosphorus models, in D E Radcliffe and M L Cabrera (Eds), Modelling Phosphorus in the Environment, Taylor and Francis: Boca Raton, FL, 131-160.
50. Pappenberger, F., Beven, K.J., Frodsham, K., Romanovicz, R. and Matgen, P., 2006. Grasping the unavoidable subjectivity in calibration of flood inundation models: a vulnerability weighted approach. Journal of Hydrology, 333, 275-287.
51. Page, T., Beven, K. J., Freer, J. and Neal, C. 2007. Modelling the chloride signal at Plynlimon, Wales, using a modified dynamic TOPMODEL incorporating conservative chemical mixing (with uncertainty), Hydrological Processes, 21(3): 292-307.
52. Beven, K J, Smith, P J, and Freer, J E, 2007, Comment on "Hydrological Forecasting Uncertainty Assessment: Incohedrence of the GLUE methodology" by Peitro Mantovan and Ezio Todini, J. Hydrology, in press.
53. Krueger, T., Freer, J.E., Quinton, J. and Macleod, C.J.A. 2007. Processes affecting transfer of sediment and colloids, with associated phosphorus, from intensively farmed grasslands: A critical note on modelling of phosphorus transfers. Hydrological Processes, DOI: 10.1002/hyp.6596, in press.
54. Smith, P., Beven, K.J., Dean, S., Freer, J.E., Gallart, F., Latron, J. and Williams, R. 2007. On the calculation of the spatial distribution of inflow to a river reach through the analysis of a tracer experiment with uncertainties. Hydrological Processes, in press.
Book Chapters and refereed Conference papers
55. Beven, K J, 2002, Uncertainty and the detection of structural change in models of environmental systems, in M B Beck (Ed.), Environmental Foresight and Models: A Manifesto, Elsevier Science, New York. 227-250.
56. Beven, K J, 2002, Accuracy, uncertainty and a coherent philosophy for environmental modelling, in G Hunter and K Lowell (Eds), Proceedings of the Accuracy 2002 Symposium, RMIT, Melbourne, Australia, 1-8 (ISBN 0 7340 22123).
57. Freer, J. E., K. J. Beven, and N. E. Peters. 2003, Multivariate seasonal period model rejection within the generalised likelihood uncertainty estimation procedure. in Calibration of Watershed Models, edited by Q. Duan, H. Gupta, S. Sorooshian, A. N. Rousseau, and R. Turcotte, AGU Books, Washington, 69-87.
58. Beven, K J, 2004, Uncertainty in environmental modeling: a manifesto for the equifinality thesis, in T J Nicholson et al. (Eds.), Proceedings of the International Workshop on Uncertainty, Sensitivity, and Parameter Estimation for Multimedia Environmental Modeling. Report NUREG CP/0187: Washington DC, 103-105.
59. Romanowicz R. J., P. C. Young and K. J. Beven, 2004, Assessing Uncertainty in Assessing Flood Risk, Proceedings of First International Conference on Flood Risk Assessment, Bath, U.K., 2004, 127-138.
60. Wagener, T, Freer, J, Zehe, E, Beven, K, Gupta, H V and Bardossy, A, 2006, Towards an uncertainty framework for predictions in ungauged basins: the uncertainty working group, IAHS Publication, 303, 454-462
61. Beven, K J, Page T and McGechan, M, 2006, Uncertainty estimation in phosphorus models, in D E Radcliffe and M L Cabrera (Eds), Modelling Phosphorus in the Environment, Taylor and Francis: Boca Raton, FL, 131-160.
Invited Commentaries
62. Beven, K J, 2003, On environmental models of everywhere using the GRID, Hydrological Processes (HPToday), 17, 171-174.
63. Beven, K J, 2004, Does an interagency meeting near Washington imply uncertainty?, Hydrological Processes (HPToday), 18(9), 1747-1750.
64. Pappenberger, F and Beven, K J, 2006, Ignorance is bliss: 7 reasons not to use uncertainty analysis, Water Resources Research, 42, W05302, doi:10.1029/2005WR004820, 2006
65. Beven, K J, 2006, On undermining the science?, Hydrological Processes (HPToday), 20, 3141-3146.
Comments and Reviews
66. Gupta, H V, Beven, K J and Wagener, T, 2005, Model calibration and uncertainty estimation, Part 11 Section 131 in Volume 3, Encyclopaedia of Hydrological Sciences, Wiley, Chichester, 2015-2032.
2. Wang, X; Frankenberger, JR; Kladivko, EJ Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology HYDROLOGICAL PROCESSES 2006 3069 3084
3. Cameron, D An application of the UKCIP02 climate change scenarios to flood estimation by continuous simulation for a gauged catchment in the northeast of Scotland, UK (with uncertainty) JOURNAL OF HYDROLOGY 2006 328 212 226
4. Winsemius, HC; Savenije, HHG; Gerrits, AMJ; Zapreeva, EA; Klees, Comparison of two model approaches in the Zambezi river basin with regard to model reliability and identifiability HYDROLOGY AND EARTH SYSTEM SCIENCES 2006 10 3 339 352
5. Kim, K; Kalita, PK; Bowes, MJ; Eheart, JW Modeling of river dynamics of phosphorus under unsteady flow conditions WATER RESOURCES RESEARCH 2006 42 7 W07413
6. Borga, M; Degli Esposti, S; Norbiato, D Influence of errors in radar rainfall estimates on hydrological modeling prediction uncertainty WATER RESOURCES RESEARCH 2006 42 8 W08409
7. Willgoose, GR; Sharmeen, S A One-dimensional model for simulating armouring and erosion on hillslopes: I. Model development and event-scale dynamics EARTH SURFACE PROCESSES AND LANDFORMS 2006 31 8 970 991
8. Rankinen, K; Karvonen, T; Butterfield, D An application of the GLUE methodology for estimating the parameters of the INCA-N model SCIENCE OF THE TOTAL ENVIRONMENT 2006 365 123 139
9. Heidari, A; Saghafian, B; Maknoon, R Assessment of flood forecasting lead time based on generalized likelihood uncertainty estimation approach STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2006 20 5 363 380
10. McMichael, CE; Hope, AS; Loaiciga, HA Distributed hydrological modelling in California semi-arid shrublands: MIKE SHE model calibration and uncertainty estimation JOURNAL OF HYDROLOGY 2006 317 3-4 307 324
11. Heywood, E; Whyatt, JD; Hall, J; Wadsworth, R; Page, T Presentation of the influence of deposition uncertainties on acidity critical load exceedance across Wales ENVIRONMENTAL SCIENCE & POLICY 2006 9 1 32 45
12. Ruessink, BG A Bayesian estimation of parameter-induced uncertainty in a nearshore alongshore current model JOURNAL OF HYDROINFORMATICS 2006 8 1 37 49
13. McCabe, MF; Kalma, JD; Franks, SW Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework HYDROLOGY AND EARTH SYSTEM SCIENCES 2005 9 5 467 480
14. Hansson, K; Lundin, LC Equifinality and sensitivity in freezing and thawing simulations of laboratory and in situ data COLD REGIONS SCIENCE AND TECHNOLOGY 2005 44 1 20 37
15. Werner, MGF; Hunter, NM; Bates, PD Identifiability of distributed floodplain roughness values in flood extent estimation JOURNAL OF HYDROLOGY 2005 314 1-4 139 157
16. Tadesse, A; Anagnostou, EN A statistical approach to ground radar-rainfall estimation JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2005 22 11 1720 1732
17. Werner, M; Blazkova, S; Petr, J Spatially distributed observations in constraining inundation modelling uncertainties HYDROLOGICAL PROCESSES 2005 19 16 3081 3096
18. Hossain, F; Anagnostou, EN Numerical investigation of the impact of uncertainties in satellite rainfall estimation and land surface model parameters on simulation of soil moisture ADVANCES IN WATER RESOURCES 2005 28 12 1336 1350
19. Candela, A; Noto, LV; Aronica, G Influence of surface roughness in hydrological response of semiarid catchments JOURNAL OF HYDROLOGY 2005 313 3-4 119 131
20. Hunter, NM; Bates, PD; Horritt, MS; De Roo, PJ; Werner, MGF Utility of different data types for calibrating flood inundation models within a GLUE framework HYDROLOGY AND EARTH SYSTEM SCIENCES 2005 9 4 Sp. Iss. SI 412 430
21. Larsbo, M; Roulier, S; Stenemo, F; Kasteel, R; Jarvis, N An improved dual-permeability model of water flow and solute transport in the vadose zone VADOSE ZONE JOURNAL 2005 4 2 398 406
22. Muleta, MK; Nicklow, JW Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model JOURNAL OF HYDROLOGY 2005 306 1-4 127 145
23. Minasny, B; Field, DJ Estimating soil hydraulic properties and their uncertainty: the use of stochastic simulation in the inverse modelling of the evaporation method GEODERMA 2005 126 3-4 277 290
24. Hossain, F; Anagnostou, EN Assessment of a stochastic interpolation based parameter sampling scheme for efficient uncertainty analyses of hydrologic models COMPUTERS & GEOSCIENCES 2005 31 4 497 512
25. Larsbo, M; Jarvis, N Simulating solute transport in a structured field soil: Uncertainty in parameter identification and predictions JOURNAL OF ENVIRONMENTAL QUALITY 2005 34 2 621 634
26. Aronica, G; Freni, G; Oliveri, E Uncertainty analysis of the influence of rainfall time resolution in the modelling of urban drainage systems HYDROLOGICAL PROCESSES 2005 19 5 1055 1071
27. Hossain, F; Anagnostou, EN Assessment of a probabilistic scheme for flood prediction JOURNAL OF HYDROLOGIC ENGINEERING 2005 10 2 141 150
28. Hossain, F; Anagnostou, EN; Dinku, T; Borga, M Hydrological model sensitivity to parameter and radar rainfall estimation uncertainty HYDROLOGICAL PROCESSES 2004 18 17 3277 3291
29. Hossain, F; Anagnostou, EN; Lee, KH A non-linear and stochastic response surface method for Bayesian estimation of uncertainty in soil moisture simulation from a land surface model NONLINEAR PROCESSES IN GEOPHYSICS 2004 11 4 427 440
30. Uhlenbrook, S; Sieber, A On the value of experimental data to reduce the prediction uncertainty of a process-oriented catchment model ENVIRONMENTAL MODELLING & SOFTWARE 2005 20 1 19 32
31. Mertens, J; Madsen, H; Feyen, L; Jacques, D; Feyen, J Including prior information in the estimation of effective soil parameters in unsaturated zone modelling JOURNAL OF HYDROLOGY 20 2004 294 4 251 269
32. Khu, ST; Werner, MGF Reduction of Monte-Carlo simulation runs for uncertainty estimation in hydrological modelling HYDROLOGY AND EARTH SYSTEM SCIENCES 2003 7 5 680 692
33. Puech, C; Gineste, P Radar imagery and saturated areas: decreasing model equifinality CANADIAN JOURNAL OF REMOTE SENSING 2003 29 6 729 733
34. Morse, BS; Pohll, G; Huntington, J; Castillo, RR Stochastic capture zone analysis of an arsenic-contaminated well using the generalized likelihood uncertainty estimator (GLUE) methodology WATER RESOURCES RESEARCH 2003 39 1151
35. Engeland, K; Gottschalk, L Bayesian estimation of parameters in a regional hydrological model HYDROLOGY AND EARTH SYSTEM SCIENCES 2002 6 5 883 898
36. Aronica, G; Bates, PD; Horritt, MS Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE HYDROLOGICAL PROCESSES 2002 16 10 2001 2016
37. Makowski, D; Wallach, D; Tremblay, M Using a Bayesian approach to parameter estimation; comparison of the GLUE and MCMC methods AGRONOMIE 2002 22 2 Sp. Iss. SI 191 203
38. Christiaens, K; Feyen, J Constraining soil hydraulic parameter and output uncertainty of the distributed hydrological MIKE SHE model using the GLUE framework HYDROLOGICAL PROCESSES 2002 16 2 373 391
39. Ratto, M; Tarantola, S; Saltelli, A Sensitivity analysis in model calibration: GSA-GLUE approach COMPUTER PHYSICS COMMUNICATIONS 2001 136 3 212 - 224
Critical discussions
40. Montanari, A and Brath, A, A stochastic approach for assessing the uncertainty of rainfall-runoff simulations, Water Resources Research, 40, W01106, 10.1029/2003WR002540, 2004
41. Montanari, A, 2005, Large sample behaviors of GLUE in assessing the uncertainty of
42. rainfall-runoff simulations, Water Resour. Res.
43. Christiansen, S, A synthetic groundwater modelling study of the accuracy of GLUE uncertainty intervals, Nordic Hydrology, 35, 45-59, 2003.
44. Ebel, BA; Loague, K, Physics-based hydrologic-response simulation: Seeing through the fog of equifinality HYDROLOGICAL PROCESSES 2006 2887 2900
45. Mantovan, P and Todini, E, Hydrological Forecasting Uncertainty Assessment: Incoherence of the GLUE methodology, J. Hydrology, in press.
Reviews
46. Wagener, T and Gupta, H V, Model identification for hydrological forecasting under uncertainty, 2005, Stoch. Env. Res. Risk. Assess., DOI 10.1007/s00477-005-0006-5
Beven, K.J. (1993), Prophecy, reality and uncertainty in distributed hydrological modelling, Adv. in Water Resourc., 16, 41-51.
Beven, K.J., 1996, Equifinality and Uncertainty in Geomorphological Modelling, in B L Rhoads and C E Thorn (Eds.), The Scientific Nature of Geomorphology, Wiley, Chichhester, 289-313.
Beven, K J, Freer J, Hankin, B and Schulz, K, 2000, The use of generalised likelihood measures for uncertainty estimation in high order models of environmental systems. in Nonlinear and Nonstationary Signal Processing, W J Fitzgerald, R L Smith, A T Walden and P C Young (Eds). CUP, 115-151.
Beven, K J, 2000, Uniqueness of place and process representations in hydrological modelling, Hydrology and Earth System Sciences, 4(2), 203-213.
Beven, K J, 2001, Dalton Medal Lecture: How far can we go in distributed hydrological modelling?, Hydrology and Earth System Sciences, 5(1), 1-12.
Beven, K J and Freer, J, 2001 Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems, J. Hydrology, 249, 11-29.
Beven, K J, 2001, Calibration, Validation and Equifinality in Hydrological Modelling, Anderson, M G and Bates, P D (Eds), Model Validation: Perspectives in Hydrological Science, Wiley, Chichester, 43-55.
Rainfall-runoff modelling
Fisher J.I. and K.J. Beven, 1996, Modelling of streamflow at Slapton Wood using TOPMODEL within an uncertainty estimation framework, Field Studies, 8, 577-584.
Beven, K.J. and J.I. Fisher, 1996, Remote sensing and scaling in hydrology, in J. B. Stewart et al. (Eds), Scaling Issues in Hydrology, Wiley, Chichester
Freer, J., K.J. Beven and B. Ambroise, 1996, Bayesian estimation of uncertainty in runoff prediction and the value of data: an application of the GLUE approach, Water Resources Research, 32(7), 2161-2173.
Pinol, J, Beven, K J and Freer, J, 1997, Modelling the hydrological response of mediterranean catchments, Prades, Catalonia - the use of distributed models as aids to hypothesis formulation, Hydrol. Process., 11(9), 1287-1306
Franks, S W, Gineste, Ph, Beven, K J and Merot, Ph, 1998, On constraining the predictions of a distributed model: the incorporation of fuzzy estimates of saturated areas into the calibration process, Water Resources Research, 34, 787-797.
Lamb, R., Beven, K.J. and Myrabø, S., 1998, Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model., Advances in Water Resources, 22(4), 305-317.
Beven, K J and Freer, J, 2001, A Dynamic TOPMODEL, Hydrol. Process.,15(10), 1993-2011.
Rainfall Modelling
Cameron, D, Beven, K J, and Tawn, J, 2001, Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty), Adv. Water Resour., 24, 203-211
Flood frequency estimation by continuous simulation
Cameron, D, Beven, K J, Tawn, J, Blazkova, S and Naden, P, 1999, Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrology, 219, 169-187.
Cameron, D, Beven, K J, Tawn, J, and Naden, P, 2000, Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation), Hydrology and Earth System Science, 4(1), 23-34.
Cameron, D., Beven, K. and Naden, P., 2000, Flood frequency estimation under climate change (with uncertainty). Hydrology and Earth System Sciences, 4(3), 393-405
Recharge, Groundwater and Capture Zone Modelling
Buckley, K.M., A.M. Binley and K.J. Beven (1995), Calibration and predictive uncertainty estimation of groundwater quality models: application to Twin Lake Tracer Test in Proc of Groundwater Quality Models 93, Tallin, Estonia, IAHS Pubn. 220, 205-214.
Jenkins, K.J., L.G. Watts, A.M. Binley and K.J. Beven (1995), A Framework for investigating predictive uncertainty in the modelling of groundwater contamination, Acta Universitatis Carolina & Geologica, 39, 149-160.
Feyen, L, Beven, K J, De Smedt, F. and Freer, J, 2001, Stochastic capture zones delineated within the Generalised Likelihood Uncertainty Estimation methodology: conditioning on head observations, Water Resourc. Res., 37(3), 625-638.
Hydraulic and Flood inundation modelling
Romanowicz, R., K.J. Beven and J. Tawn, 1996, Bayesian calibration of flood inundation models, in M.G. Anderson, D.E.Walling and P. D. Bates, (Eds.) Floodplain Processes, 333-360
Romanowicz, R and Beven, K J, 1998, Dynamic real-time prediction of flood inundation probabilities, Hydrol. Sci. J., 43(2), 181-196.
Aronica, G, Hankin, B.G., Beven, K.J., 1998, Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data, Advances in Water Resources, 22(4), 349-365.
Beven, K. J., Romanowicz, R., and Hankin, B., 2000, Mapping the probability of flood inundation (even in real time), in M. Lees and P. Walsh (Eds.), BHS Occasional Publication No. 12, 56-63, Wallingford.
Hankin, B. G., Hardy, R., Kettle, H. and Beven, K. J., 2001, Using CFD in a GLUE framework to model the flow and dispersion characteristics of a natural fluvial dead zone, Earth Surface Processes and Landforms, 26(6), 667-688.
Modelling dispersion in channels
Hankin, B and Beven, K J, 1998, Modelling dispersion in complex open channel flows: 1. Equifinality of model structure, Stochastic Hydrology and Hydraulics., 12(6), 377-396.
Hankin, B and Beven, K J, 1998, Modelling dispersion in complex open channel flows: 2. Fuzzy calibration, Stochastic Hydrology and Hydraulics., 12(6), 397-412.
Land surface to atmosphere flux modelling
Franks, S., K.J. Beven, P.F. Quinn and I. Wright, 1997, On the sensitivity of soil-vegetation-atmosphere transfer (SVAT) schemes: equifinality and the problem of robust calibration, Agric. Forest Meteorol., 86, 63-75.
Franks, S and Beven, K, 1997, Bayesian estimation of uncertainty in land surface-atmosphere flux predictions, J. Geophysical Research, 102 (D20), 23991-23999.
Beven, K J and Franks, S W, 1999, Functional similarity in landscape scale SVAT modelling, Hydrology and Earth Systems Science, 3(1), 85-94.
Franks, S W and Beven, K J, 1999, Conditioning a multiple patch SVAT model using uncertain time-space estimates of latent heat fluxes as inferred from remotely-sensed data, Water Resour. Res., 35(9), 2751-2761.
Franks, S W, Beven, K J and Gash, J H C, 1999, Multi-objective conditioning of a simple SVAT model. Hydrol. Earth Syst. Sci., 3(4), 477-489.
Schulz, K. Jarvis, A, Beven, K J and Søgaard, H, 2001, The predictive uncertainty of land surface fluxes in response to increasing ambient CO2, J. Climate, 14(12), 2551-2562.
Modelling soil geochemistry
Zak, S. K., K.J. Beven and B. Reynolds, 1997, Uncertainty in the estimation of critical loads: a practical methodology, Soil, Water and Air Pollution, 98, 297-316.
Schulz, K, Beven, K and Huwe, B, 1999, Equifinality and the problem of robust calibration in nitrogen budget simulations, Soil Sci. Soc. Amer. J., 63(6), 1934-1941.
Zak, S and Beven, K J, 1999, Equifinality, sensitivity and uncertainty in the estimation of critical loads, Science of the Total Environment, 236, 191-214
Modelling soil erosion
Brazier, R. E., Beven, K. J., Freer, J. and Rowan, J. S., 2000, Equifinality and uncertainty in physically-based soil erosion models: application of the GLUE methodology to WEPP, the Water Erosion Prediction Project – for sites in the UK and USA, Earth Surf. Process. Landf., 25, 825-845.
Brazier, R E, Beven, K J, Anthony. S G and Rowan, J S, 2001, Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions, Earth Surf. Process. Landf., 26, 1333-1352.
Modelling atmospheric deposition
Page, T., Beven, K. J. and Whyatt, D., 2000, Predictive capability in estimating changes in water quality: long-term responses to atmospheric deposition, Proc. BHS Seventh National Meeting, British Hydrological Society, 3.65-3.73
GLUE papers with author connections at Lancaster
1. Joerin, C., K. J. Beven, I. Iorgulescu, A. Musy, 2002, Uncertainty in hydrograph separations based on geochemical mixing models, J. Hydrology, 255, 90-106.2. Kettle, H and Beven, K J, 2002, Fuzzy Rules Based Model for Solute Dispersion in an Open Channel Dead Zone, Journal of Hydroinformatics, 4(1), 39-51
3. Kettle, H, Hankin, B and Beven , K, 2002, Fuzzy Rule-based Model for Contaminant Transport in a Natural River Channel, Journal of Hydroinformatics, 4(1), 53-62.
4. Beven, K. J., 2002, Towards an alternative blueprint for a physically-based digitally simulated hydrologic response modelling system, Hydrol. Process., 16(2), 189-206.
5. Blazkova, S., Beven, K. J., and Kulasova, A., 2002, On constraining TOPMODEL hydrograph simulations using partial saturated area information, Hydrol. Process., 16(2), 441-458.
6. Beven, K J, 2002, Towards a coherent philosophy for environmental modelling, Proc. Roy. Soc. Lond. A, 458, 2465-2484.
7. Hankin, B.G., Holland, M.J., Beven, K.J., Carling, P.A., 2002, Computational fluid dynamics modelling of flow and energy fluxes for a natural fluvial dead zone, Journal of Hydraulic Research, 40(4), 389-401.
8. Martínez-Vilalta, J, Piñol, J and Beven, K J, 2002, A hydraulic model to predict drought-induced mortality in woody plants: an application to climate change in the Mediterranean, Ecological Modelling, 155, 127-147, 2002.
9. Beven, K. J., Musy, A. and Higy, C., 2002, Tribune Libre: L'unicité de lieu, d'action et de temps, Revue de Sciences de l'Eau, 14(4), 525-533.
10. Blazkova, S and Beven, K J, 2002, Flood Frequency Estimation by Continuous Simulation for a Catchment treated as Ungauged (with Uncertainty), Water Resources Research 38(8), 10.1029/2001WR000500.
11. Blazkova, S, Beven, K, Tacheci, P and Kulasova, A, 2002, Testing the distributed water table predictions of TOPMODEL (allowing for uncertainty in model calibration): the death of TOPMODEL?, Water Resources Research, 38(11), W01257, 10.1029/2001WR000912
12. Peters, N. E., Freer, J E and Beven, K J, 2003, Modelling hydrologic responses in a small forested catchment (Panola Mountain, Georgia, USA): a comparison of the original and a new dynamic TOPMODEL, Hydrological Processes, 17(2), 345-362
13. Schulz, K., and Beven, K., 2003. Data-supported robust parameterisations in land surface - atmosphere flux predictions: towards a top-down approach, Hydrol. Process., 17, 2259-2277.
14. Romanowicz, R. and Beven, K. J., 2003, Bayesian estimation of flood inundation probabilities as conditioned on event inundation maps, Water Resources Research, 39(3), W01073, 10.1029/2001WR001056
15. Binley, A and Beven, K J, 2003, Vadose zone model uncertainty as conditioned on geophysical data, Ground Water, 41(2), 119-127.
16. Page, T, Beven, K J, Freer, J and Jenkins, A, 2003, Investigating the uncertainty in predicting responses to atmospheric deposition using the Model of Acidification of Groundwater in Catchments (MAGIC) within a Generalised Likelihood Uncertainty Estimation (GLUE) framework, Water, Air, Soil Pollution, 142, 71-94.
17. Beven, K J and Pappenberger, F, 2003, Discussion of "Towards the hydraulics of the hydroinformatics era" by M B Abbott et al., J. Hydraul. Res. 41(3), 331-336.
18. Beven, K J and Young, P C, 2003, Comment on Bayesian Recursive Parameter Estimation for Hydrologic Models by M Thiemann, M Trosset, H Gupta and S Sorooshian, Water Resources Research,3 9(5), doi: W01116, 10.1029/2001WR001183 19. Page, T., Beven, K.J. and Whyatt, D. 2004. Predictive Capability in Estimating Changes in Water Quality: Long-Term Responses to Atmospheric Deposition. Water Soil and Air Pollution, 151, 215-244.
20. Bates, P. D., Horritt, M. S., Aronica, G. and Beven, K J, 2004, Bayesian updating of flood inundation likelihoods conditioned on flood extent data, Hydrological Processes, 18, 3347-3370.
21. Freer, J, McMillan, H, McDonnell, J J and Beven, K J, 2004, Constraining Dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures, J. Hydrology., 291, 254-277
22. Blazkova, S and Beven, K J, 2004, Flood frequency estimation by continuous simulation of subcatchment rainfalls and discharges with the aim of improving dam safety assessment in a large basin in the Czech Republic, J. Hydrology, 292, 153-172
23. Page, T., Whyatt, D., Beven, K.J. and Metcalfe, S.E.: 2004. Uncertainty in Modelled Estimates of Acid Deposition across Wales: A GLUE Approach. Atmospheric Environment, 38(14), 2079-2090.
24. Payraudeau, S., Cernesson, F., M. G. Tournoud and K. J. Beven, 2004. Modelling nitrogen loads at the catchment scale under the influence of land use, Physics and Chemistry of the Earth, Parts A/B/C, 29 (11-12), 811-819.
25. Mo, X. and Beven, K J, 2004, Multi-objective parameter conditioning of a three-source wheat canopy model, Agric. Forest. Met., 122, 39-63.
26. Romanowicz, R, and Beven, K J, 2004, Comments on GLUE, Proceedings, SAMO2004, Los Alamos, NM.
27. Piñol, J., K. J. Beven, & D.X. Viegas, 2004, Modelling the effect of fire-exclusion and prescribed fire on wildfire size in Mediterranean ecosystems. Ecological Modelling, 183, 397-409.
28. Pappenberger, F, Beven, K J, de Roo, A., Thielen, J., and Gouweleeuw, G, 2004, Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE), J. River Basin Management, 2, 123-133.
29. Beven, K J, 2004, Reply to " The emergence of a new kind of relativism in environmental modeling: a commentary" by P. Baveye, Proc. Roy. Soc. Lond. A, 460: 2147-2151.
30. Pappenberger, F., Beven, K., Horritt, M., Blazkova, S., 2005, Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations, Journal of Hydrology, 302, 46-69.
31. Pappenberger, F., Beven, K.J., Hunter N., Gouweleeuw, B., Bates, P., de Roo, A., Thielen, J., 2005, Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS). Hydrology and Earth System Science, 9(4),381-393.
32. Iorgulescu, I, Beven, K J and Musy, A, 2005, Data-based modelling of runoff and chemical tracer concentrations in the Haute-Menthue (Switzerland) research catchment, Hydrological Processes, 19, 2557-2574.
33. Joerin, C, Beven, K J, Musy, A, and Balin Talamba, D, 2005, Study of hydrological processes by the combination of environmental tracing and hillslope measurements: application to the Haute-Menthue catchment, Hydrological Processes, 19, 3127-3145.
34. Mo, X, Beven, K J, Liu, S, Leslie, L M and De Roo, A P J, 2004, Long term water budget estimation with the modified distributed model LISFLOOD-WB over the Lushi basin, China, Meteorology and Applied Physics, 90(1-2), 1-16.
35. Beven, K J, 2005, On the concept of model structural error, Water Science and Technology, 52(6), 165-175.
36. Page, T., Beven, K.J. and Freer, J., 2006, Modelling the Chloride Signal at the Plynlimon Catchments, Wales Using a Modified Dynamic TOPMODEL. Hydrological Processes, in press.
37. Vigiak, O, Romanowicz, R J, van Loon, E E, Sterk, G and Beven, K J, 2006, A disaggregating approach to describe overland flow occurrence in a catchment, J. Hydrol., 323, 22-40.
38. Beven, K J, Zhang, D, and Mermoud, A, 2006, On the value of local measurements on prediction of pesticide transport at the field scale. Vadoze Zone Journal, 5: 222-233.
39. Beven, K J, 2006, A manifesto for the equifinality thesis, J. Hydrology, 320, 18-36.
40. Mo, X, Pappenberger, F, Beven, K J, Liu, S, de Roo, A and Lin, Z, 2006, Panoramic analysis of parameter conditioning and prediction uncertainties of the LISFLOOD-WB distributed hydrological model, Hydrological Sciences J., 51, 45-65.
41. Beven, K J, 2006, Working towards integrated environmental models of everywhere: uncertainty, data, and modelling as a learning process. Hydrology and Earth System Science, in press.
42. Pappenberger, F, Matgen, P, Beven, K J, Henry J-B, Pfister, L and de Fraipont, P, 2006, Influence of uncertain boundary conditions and model structure on flood inundation predictions, Advances in Water Resources, in press
43. Smith, P. J., Beven, K J, Tawn, J, Blazkova, S and Merta, L, 2006, Discharge dependent pollutant dispersion in rivers: estimation of ADZ parameters with surrogate data. Water Resources Research, 42, W04412, doi:10.1029/2005WR004008.
44. Zhang, D, Beven, KJ and Mermoud, A, 2006, A comparison of nonlinear least square and GLUE for model calibration and uncertainty estimation for pesticide transport in soils. Advances in Water Resources, in press
45. Iorgulescu, I, Beven, K J and Musy, A, 2006, Hypothesis testing hydrological responses using a data-based hydrochemical model and conservative tracer data, Water Resources Research, in press
46. Beven, K J, 2006, The Holy Grail of Scientific Hydrology: as closure, Hydrology and Earth Systems Science, in press.
47. Gallart, G, Latron, J, Llorens, P, Beven, K J, 2006, Using internal catchment information to reduce the uncertainty of discharge and baseflow prediction, Advances in Water Research, in press
48. Choi, H T and Beven, K J (2006) Multi-period and Multi-criteria Model Conditioning to Reduce Prediction Uncertainty in Distributed Rainfall-Runoff Modelling within GLUE framework, J. Hydrology, in press
49. Beven, K J, Page T and McGechan, M, 2006, Uncertainty estimation in phosphorus models, in D E Radcliffe and M L Cabrera (Eds), Modelling Phosphorus in the Environment, Taylor and Francis: Boca Raton, FL, 131-160.
50. Pappenberger, F., Beven, K.J., Frodsham, K., Romanovicz, R. and Matgen, P., 2006. Grasping the unavoidable subjectivity in calibration of flood inundation models: a vulnerability weighted approach. Journal of Hydrology, 333, 275-287.
51. Page, T., Beven, K. J., Freer, J. and Neal, C. 2007. Modelling the chloride signal at Plynlimon, Wales, using a modified dynamic TOPMODEL incorporating conservative chemical mixing (with uncertainty), Hydrological Processes, 21(3): 292-307.
52. Beven, K J, Smith, P J, and Freer, J E, 2007, Comment on "Hydrological Forecasting Uncertainty Assessment: Incohedrence of the GLUE methodology" by Peitro Mantovan and Ezio Todini, J. Hydrology, in press.
53. Krueger, T., Freer, J.E., Quinton, J. and Macleod, C.J.A. 2007. Processes affecting transfer of sediment and colloids, with associated phosphorus, from intensively farmed grasslands: A critical note on modelling of phosphorus transfers. Hydrological Processes, DOI: 10.1002/hyp.6596, in press.
54. Smith, P., Beven, K.J., Dean, S., Freer, J.E., Gallart, F., Latron, J. and Williams, R. 2007. On the calculation of the spatial distribution of inflow to a river reach through the analysis of a tracer experiment with uncertainties. Hydrological Processes, in press.
Book Chapters and refereed Conference papers
55. Beven, K J, 2002, Uncertainty and the detection of structural change in models of environmental systems, in M B Beck (Ed.), Environmental Foresight and Models: A Manifesto, Elsevier Science, New York. 227-250.
56. Beven, K J, 2002, Accuracy, uncertainty and a coherent philosophy for environmental modelling, in G Hunter and K Lowell (Eds), Proceedings of the Accuracy 2002 Symposium, RMIT, Melbourne, Australia, 1-8 (ISBN 0 7340 22123).
57. Freer, J. E., K. J. Beven, and N. E. Peters. 2003, Multivariate seasonal period model rejection within the generalised likelihood uncertainty estimation procedure. in Calibration of Watershed Models, edited by Q. Duan, H. Gupta, S. Sorooshian, A. N. Rousseau, and R. Turcotte, AGU Books, Washington, 69-87.
58. Beven, K J, 2004, Uncertainty in environmental modeling: a manifesto for the equifinality thesis, in T J Nicholson et al. (Eds.), Proceedings of the International Workshop on Uncertainty, Sensitivity, and Parameter Estimation for Multimedia Environmental Modeling. Report NUREG CP/0187: Washington DC, 103-105.
59. Romanowicz R. J., P. C. Young and K. J. Beven, 2004, Assessing Uncertainty in Assessing Flood Risk, Proceedings of First International Conference on Flood Risk Assessment, Bath, U.K., 2004, 127-138.
60. Wagener, T, Freer, J, Zehe, E, Beven, K, Gupta, H V and Bardossy, A, 2006, Towards an uncertainty framework for predictions in ungauged basins: the uncertainty working group, IAHS Publication, 303, 454-462
61. Beven, K J, Page T and McGechan, M, 2006, Uncertainty estimation in phosphorus models, in D E Radcliffe and M L Cabrera (Eds), Modelling Phosphorus in the Environment, Taylor and Francis: Boca Raton, FL, 131-160.
Invited Commentaries
62. Beven, K J, 2003, On environmental models of everywhere using the GRID, Hydrological Processes (HPToday), 17, 171-174.
63. Beven, K J, 2004, Does an interagency meeting near Washington imply uncertainty?, Hydrological Processes (HPToday), 18(9), 1747-1750.
64. Pappenberger, F and Beven, K J, 2006, Ignorance is bliss: 7 reasons not to use uncertainty analysis, Water Resources Research, 42, W05302, doi:10.1029/2005WR004820, 2006
65. Beven, K J, 2006, On undermining the science?, Hydrological Processes (HPToday), 20, 3141-3146.
Comments and Reviews
66. Gupta, H V, Beven, K J and Wagener, T, 2005, Model calibration and uncertainty estimation, Part 11 Section 131 in Volume 3, Encyclopaedia of Hydrological Sciences, Wiley, Chichester, 2015-2032.
GLUE papers with external author connections
1. Huang, JC; Kao, SJ; Hsu, ML; Lin, JC, Stochastic procedure to extract and to integrate landslide susceptibility maps: an example of mountainous watershed in Taiwan NATURAL HAZARDS AND EARTH SYSTEM SCIENCES 2006 803 8152. Wang, X; Frankenberger, JR; Kladivko, EJ Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology HYDROLOGICAL PROCESSES 2006 3069 3084
3. Cameron, D An application of the UKCIP02 climate change scenarios to flood estimation by continuous simulation for a gauged catchment in the northeast of Scotland, UK (with uncertainty) JOURNAL OF HYDROLOGY 2006 328 212 226
4. Winsemius, HC; Savenije, HHG; Gerrits, AMJ; Zapreeva, EA; Klees, Comparison of two model approaches in the Zambezi river basin with regard to model reliability and identifiability HYDROLOGY AND EARTH SYSTEM SCIENCES 2006 10 3 339 352
5. Kim, K; Kalita, PK; Bowes, MJ; Eheart, JW Modeling of river dynamics of phosphorus under unsteady flow conditions WATER RESOURCES RESEARCH 2006 42 7 W07413
6. Borga, M; Degli Esposti, S; Norbiato, D Influence of errors in radar rainfall estimates on hydrological modeling prediction uncertainty WATER RESOURCES RESEARCH 2006 42 8 W08409
7. Willgoose, GR; Sharmeen, S A One-dimensional model for simulating armouring and erosion on hillslopes: I. Model development and event-scale dynamics EARTH SURFACE PROCESSES AND LANDFORMS 2006 31 8 970 991
8. Rankinen, K; Karvonen, T; Butterfield, D An application of the GLUE methodology for estimating the parameters of the INCA-N model SCIENCE OF THE TOTAL ENVIRONMENT 2006 365 123 139
9. Heidari, A; Saghafian, B; Maknoon, R Assessment of flood forecasting lead time based on generalized likelihood uncertainty estimation approach STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2006 20 5 363 380
10. McMichael, CE; Hope, AS; Loaiciga, HA Distributed hydrological modelling in California semi-arid shrublands: MIKE SHE model calibration and uncertainty estimation JOURNAL OF HYDROLOGY 2006 317 3-4 307 324
11. Heywood, E; Whyatt, JD; Hall, J; Wadsworth, R; Page, T Presentation of the influence of deposition uncertainties on acidity critical load exceedance across Wales ENVIRONMENTAL SCIENCE & POLICY 2006 9 1 32 45
12. Ruessink, BG A Bayesian estimation of parameter-induced uncertainty in a nearshore alongshore current model JOURNAL OF HYDROINFORMATICS 2006 8 1 37 49
13. McCabe, MF; Kalma, JD; Franks, SW Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework HYDROLOGY AND EARTH SYSTEM SCIENCES 2005 9 5 467 480
14. Hansson, K; Lundin, LC Equifinality and sensitivity in freezing and thawing simulations of laboratory and in situ data COLD REGIONS SCIENCE AND TECHNOLOGY 2005 44 1 20 37
15. Werner, MGF; Hunter, NM; Bates, PD Identifiability of distributed floodplain roughness values in flood extent estimation JOURNAL OF HYDROLOGY 2005 314 1-4 139 157
16. Tadesse, A; Anagnostou, EN A statistical approach to ground radar-rainfall estimation JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2005 22 11 1720 1732
17. Werner, M; Blazkova, S; Petr, J Spatially distributed observations in constraining inundation modelling uncertainties HYDROLOGICAL PROCESSES 2005 19 16 3081 3096
18. Hossain, F; Anagnostou, EN Numerical investigation of the impact of uncertainties in satellite rainfall estimation and land surface model parameters on simulation of soil moisture ADVANCES IN WATER RESOURCES 2005 28 12 1336 1350
19. Candela, A; Noto, LV; Aronica, G Influence of surface roughness in hydrological response of semiarid catchments JOURNAL OF HYDROLOGY 2005 313 3-4 119 131
20. Hunter, NM; Bates, PD; Horritt, MS; De Roo, PJ; Werner, MGF Utility of different data types for calibrating flood inundation models within a GLUE framework HYDROLOGY AND EARTH SYSTEM SCIENCES 2005 9 4 Sp. Iss. SI 412 430
21. Larsbo, M; Roulier, S; Stenemo, F; Kasteel, R; Jarvis, N An improved dual-permeability model of water flow and solute transport in the vadose zone VADOSE ZONE JOURNAL 2005 4 2 398 406
22. Muleta, MK; Nicklow, JW Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model JOURNAL OF HYDROLOGY 2005 306 1-4 127 145
23. Minasny, B; Field, DJ Estimating soil hydraulic properties and their uncertainty: the use of stochastic simulation in the inverse modelling of the evaporation method GEODERMA 2005 126 3-4 277 290
24. Hossain, F; Anagnostou, EN Assessment of a stochastic interpolation based parameter sampling scheme for efficient uncertainty analyses of hydrologic models COMPUTERS & GEOSCIENCES 2005 31 4 497 512
25. Larsbo, M; Jarvis, N Simulating solute transport in a structured field soil: Uncertainty in parameter identification and predictions JOURNAL OF ENVIRONMENTAL QUALITY 2005 34 2 621 634
26. Aronica, G; Freni, G; Oliveri, E Uncertainty analysis of the influence of rainfall time resolution in the modelling of urban drainage systems HYDROLOGICAL PROCESSES 2005 19 5 1055 1071
27. Hossain, F; Anagnostou, EN Assessment of a probabilistic scheme for flood prediction JOURNAL OF HYDROLOGIC ENGINEERING 2005 10 2 141 150
28. Hossain, F; Anagnostou, EN; Dinku, T; Borga, M Hydrological model sensitivity to parameter and radar rainfall estimation uncertainty HYDROLOGICAL PROCESSES 2004 18 17 3277 3291
29. Hossain, F; Anagnostou, EN; Lee, KH A non-linear and stochastic response surface method for Bayesian estimation of uncertainty in soil moisture simulation from a land surface model NONLINEAR PROCESSES IN GEOPHYSICS 2004 11 4 427 440
30. Uhlenbrook, S; Sieber, A On the value of experimental data to reduce the prediction uncertainty of a process-oriented catchment model ENVIRONMENTAL MODELLING & SOFTWARE 2005 20 1 19 32
31. Mertens, J; Madsen, H; Feyen, L; Jacques, D; Feyen, J Including prior information in the estimation of effective soil parameters in unsaturated zone modelling JOURNAL OF HYDROLOGY 20 2004 294 4 251 269
32. Khu, ST; Werner, MGF Reduction of Monte-Carlo simulation runs for uncertainty estimation in hydrological modelling HYDROLOGY AND EARTH SYSTEM SCIENCES 2003 7 5 680 692
33. Puech, C; Gineste, P Radar imagery and saturated areas: decreasing model equifinality CANADIAN JOURNAL OF REMOTE SENSING 2003 29 6 729 733
34. Morse, BS; Pohll, G; Huntington, J; Castillo, RR Stochastic capture zone analysis of an arsenic-contaminated well using the generalized likelihood uncertainty estimator (GLUE) methodology WATER RESOURCES RESEARCH 2003 39 1151
35. Engeland, K; Gottschalk, L Bayesian estimation of parameters in a regional hydrological model HYDROLOGY AND EARTH SYSTEM SCIENCES 2002 6 5 883 898
36. Aronica, G; Bates, PD; Horritt, MS Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE HYDROLOGICAL PROCESSES 2002 16 10 2001 2016
37. Makowski, D; Wallach, D; Tremblay, M Using a Bayesian approach to parameter estimation; comparison of the GLUE and MCMC methods AGRONOMIE 2002 22 2 Sp. Iss. SI 191 203
38. Christiaens, K; Feyen, J Constraining soil hydraulic parameter and output uncertainty of the distributed hydrological MIKE SHE model using the GLUE framework HYDROLOGICAL PROCESSES 2002 16 2 373 391
39. Ratto, M; Tarantola, S; Saltelli, A Sensitivity analysis in model calibration: GSA-GLUE approach COMPUTER PHYSICS COMMUNICATIONS 2001 136 3 212 - 224
Critical discussions
40. Montanari, A and Brath, A, A stochastic approach for assessing the uncertainty of rainfall-runoff simulations, Water Resources Research, 40, W01106, 10.1029/2003WR002540, 2004
41. Montanari, A, 2005, Large sample behaviors of GLUE in assessing the uncertainty of
42. rainfall-runoff simulations, Water Resour. Res.
43. Christiansen, S, A synthetic groundwater modelling study of the accuracy of GLUE uncertainty intervals, Nordic Hydrology, 35, 45-59, 2003.
44. Ebel, BA; Loague, K, Physics-based hydrologic-response simulation: Seeing through the fog of equifinality HYDROLOGICAL PROCESSES 2006 2887 2900
45. Mantovan, P and Todini, E, Hydrological Forecasting Uncertainty Assessment: Incoherence of the GLUE methodology, J. Hydrology, in press.
Reviews
46. Wagener, T and Gupta, H V, Model identification for hydrological forecasting under uncertainty, 2005, Stoch. Env. Res. Risk. Assess., DOI 10.1007/s00477-005-0006-5
Finally pre-2002 GLUE papers - general list
Beven, K.J. and A.M. Binley (1992), The future of distributed models: model calibration and uncertainty prediction, Hydrological Processes, 6, 279-298.Beven, K.J. (1993), Prophecy, reality and uncertainty in distributed hydrological modelling, Adv. in Water Resourc., 16, 41-51.
Beven, K.J., 1996, Equifinality and Uncertainty in Geomorphological Modelling, in B L Rhoads and C E Thorn (Eds.), The Scientific Nature of Geomorphology, Wiley, Chichhester, 289-313.
Beven, K J, Freer J, Hankin, B and Schulz, K, 2000, The use of generalised likelihood measures for uncertainty estimation in high order models of environmental systems. in Nonlinear and Nonstationary Signal Processing, W J Fitzgerald, R L Smith, A T Walden and P C Young (Eds). CUP, 115-151.
Beven, K J, 2000, Uniqueness of place and process representations in hydrological modelling, Hydrology and Earth System Sciences, 4(2), 203-213.
Beven, K J, 2001, Dalton Medal Lecture: How far can we go in distributed hydrological modelling?, Hydrology and Earth System Sciences, 5(1), 1-12.
Beven, K J and Freer, J, 2001 Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems, J. Hydrology, 249, 11-29.
Beven, K J, 2001, Calibration, Validation and Equifinality in Hydrological Modelling, Anderson, M G and Bates, P D (Eds), Model Validation: Perspectives in Hydrological Science, Wiley, Chichester, 43-55.
Rainfall-runoff modelling
Fisher J.I. and K.J. Beven, 1996, Modelling of streamflow at Slapton Wood using TOPMODEL within an uncertainty estimation framework, Field Studies, 8, 577-584.
Beven, K.J. and J.I. Fisher, 1996, Remote sensing and scaling in hydrology, in J. B. Stewart et al. (Eds), Scaling Issues in Hydrology, Wiley, Chichester
Freer, J., K.J. Beven and B. Ambroise, 1996, Bayesian estimation of uncertainty in runoff prediction and the value of data: an application of the GLUE approach, Water Resources Research, 32(7), 2161-2173.
Pinol, J, Beven, K J and Freer, J, 1997, Modelling the hydrological response of mediterranean catchments, Prades, Catalonia - the use of distributed models as aids to hypothesis formulation, Hydrol. Process., 11(9), 1287-1306
Franks, S W, Gineste, Ph, Beven, K J and Merot, Ph, 1998, On constraining the predictions of a distributed model: the incorporation of fuzzy estimates of saturated areas into the calibration process, Water Resources Research, 34, 787-797.
Lamb, R., Beven, K.J. and Myrabø, S., 1998, Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model., Advances in Water Resources, 22(4), 305-317.
Beven, K J and Freer, J, 2001, A Dynamic TOPMODEL, Hydrol. Process.,15(10), 1993-2011.
Rainfall Modelling
Cameron, D, Beven, K J, and Tawn, J, 2001, Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty), Adv. Water Resour., 24, 203-211
Flood frequency estimation by continuous simulation
Cameron, D, Beven, K J, Tawn, J, Blazkova, S and Naden, P, 1999, Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrology, 219, 169-187.
Cameron, D, Beven, K J, Tawn, J, and Naden, P, 2000, Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation), Hydrology and Earth System Science, 4(1), 23-34.
Cameron, D., Beven, K. and Naden, P., 2000, Flood frequency estimation under climate change (with uncertainty). Hydrology and Earth System Sciences, 4(3), 393-405
Recharge, Groundwater and Capture Zone Modelling
Buckley, K.M., A.M. Binley and K.J. Beven (1995), Calibration and predictive uncertainty estimation of groundwater quality models: application to Twin Lake Tracer Test in Proc of Groundwater Quality Models 93, Tallin, Estonia, IAHS Pubn. 220, 205-214.
Jenkins, K.J., L.G. Watts, A.M. Binley and K.J. Beven (1995), A Framework for investigating predictive uncertainty in the modelling of groundwater contamination, Acta Universitatis Carolina & Geologica, 39, 149-160.
Feyen, L, Beven, K J, De Smedt, F. and Freer, J, 2001, Stochastic capture zones delineated within the Generalised Likelihood Uncertainty Estimation methodology: conditioning on head observations, Water Resourc. Res., 37(3), 625-638.
Hydraulic and Flood inundation modelling
Romanowicz, R., K.J. Beven and J. Tawn, 1996, Bayesian calibration of flood inundation models, in M.G. Anderson, D.E.Walling and P. D. Bates, (Eds.) Floodplain Processes, 333-360
Romanowicz, R and Beven, K J, 1998, Dynamic real-time prediction of flood inundation probabilities, Hydrol. Sci. J., 43(2), 181-196.
Aronica, G, Hankin, B.G., Beven, K.J., 1998, Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data, Advances in Water Resources, 22(4), 349-365.
Beven, K. J., Romanowicz, R., and Hankin, B., 2000, Mapping the probability of flood inundation (even in real time), in M. Lees and P. Walsh (Eds.), BHS Occasional Publication No. 12, 56-63, Wallingford.
Hankin, B. G., Hardy, R., Kettle, H. and Beven, K. J., 2001, Using CFD in a GLUE framework to model the flow and dispersion characteristics of a natural fluvial dead zone, Earth Surface Processes and Landforms, 26(6), 667-688.
Modelling dispersion in channels
Hankin, B and Beven, K J, 1998, Modelling dispersion in complex open channel flows: 1. Equifinality of model structure, Stochastic Hydrology and Hydraulics., 12(6), 377-396.
Hankin, B and Beven, K J, 1998, Modelling dispersion in complex open channel flows: 2. Fuzzy calibration, Stochastic Hydrology and Hydraulics., 12(6), 397-412.
Land surface to atmosphere flux modelling
Franks, S., K.J. Beven, P.F. Quinn and I. Wright, 1997, On the sensitivity of soil-vegetation-atmosphere transfer (SVAT) schemes: equifinality and the problem of robust calibration, Agric. Forest Meteorol., 86, 63-75.
Franks, S and Beven, K, 1997, Bayesian estimation of uncertainty in land surface-atmosphere flux predictions, J. Geophysical Research, 102 (D20), 23991-23999.
Beven, K J and Franks, S W, 1999, Functional similarity in landscape scale SVAT modelling, Hydrology and Earth Systems Science, 3(1), 85-94.
Franks, S W and Beven, K J, 1999, Conditioning a multiple patch SVAT model using uncertain time-space estimates of latent heat fluxes as inferred from remotely-sensed data, Water Resour. Res., 35(9), 2751-2761.
Franks, S W, Beven, K J and Gash, J H C, 1999, Multi-objective conditioning of a simple SVAT model. Hydrol. Earth Syst. Sci., 3(4), 477-489.
Schulz, K. Jarvis, A, Beven, K J and Søgaard, H, 2001, The predictive uncertainty of land surface fluxes in response to increasing ambient CO2, J. Climate, 14(12), 2551-2562.
Modelling soil geochemistry
Zak, S. K., K.J. Beven and B. Reynolds, 1997, Uncertainty in the estimation of critical loads: a practical methodology, Soil, Water and Air Pollution, 98, 297-316.
Schulz, K, Beven, K and Huwe, B, 1999, Equifinality and the problem of robust calibration in nitrogen budget simulations, Soil Sci. Soc. Amer. J., 63(6), 1934-1941.
Zak, S and Beven, K J, 1999, Equifinality, sensitivity and uncertainty in the estimation of critical loads, Science of the Total Environment, 236, 191-214
Modelling soil erosion
Brazier, R. E., Beven, K. J., Freer, J. and Rowan, J. S., 2000, Equifinality and uncertainty in physically-based soil erosion models: application of the GLUE methodology to WEPP, the Water Erosion Prediction Project – for sites in the UK and USA, Earth Surf. Process. Landf., 25, 825-845.
Brazier, R E, Beven, K J, Anthony. S G and Rowan, J S, 2001, Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions, Earth Surf. Process. Landf., 26, 1333-1352.
Modelling atmospheric deposition
Page, T., Beven, K. J. and Whyatt, D., 2000, Predictive capability in estimating changes in water quality: long-term responses to atmospheric deposition, Proc. BHS Seventh National Meeting, British Hydrological Society, 3.65-3.73