Geology Reference
In-Depth Information
Nearing, M.A., Deer-Ascough, L. & Laflen, J.M. (1990)
Sensitivity analysis of the WEPP hillslope profile ero-
sion model.
Transactions of the American Society of
Agricultural Engineers
33
: 839-49.
Nearing, M., Govers, G. & Norton, L.D. (1999)
Variability in soil erosion data from replicated plots.
Soil Science Society of America Journal
63
: 1829-35.
Nearing, M., Renard, K. & Nichols, M. (2005) Erosion
prediction and modelling. In Anderson, M.G. (ed.),
Encyclopaedia of Hydrological Sciences
. John Wiley &
Sons, Chichester: 1221-7.
Page, T., Beven, K.J. & Freer, J. (2007) Modelling the
chloride signal at the Plynlimon Catchments, Wales
using a modified dynamic TOPMODEL.
Hydrological
Processes
21
: 292-307.
Pappenberger, F. & Beven, K.J. (2006) Ignorance is
bliss: 7 reasons not to use uncertainty analysis.
Water Resources Research
Romanowicz, R., Beven, K.J. and Tawn, J. (1996) Bayesian
calibration of flood inundation models. In Anderson,
M.G., Walling, D.E. & Bates, P.D. (eds),
Floodplain
Processes
. John Wiley & Sons, Chichester: 333-60.
Saltelli, A., Tarantola, S., Campolongo, F. & Ratto, M.
(2004)
Sensitivity Analysis in Practice: A Guide to
Assessing Scientific Models
. John Wiley & Sons,
Chichester.
Silburn, D.M. & Loch, D.J. (1989) Evaluation of the
CREAMS model. 1. Sensitivity analysis of the soil-
erosion sedimentation component for aggregated clay
soils.
Australian Journal of Soil Research
27
:
545-61.
Smith, P.J., Tawn, J. & Beven, K.J. (2008) Informal likeli-
hood measures in model assessment: theoretic devel-
opment and investigation.
Advances in Water
Resources
31
: 1087-1100.
Sonneveld, B.G.J.S. & Nearing, M.A. (2003) A nonpara-
metric/parametric analysis of the Universal Soil Loss
Equation.
Catena
52
: 9-21.
Spaeth, K.E., Pierson, F.B., Weltz, M.A. & Blackburn,
W.H. (2003) Evaluation of USLE and RUSLE esti-
mated soil loss on rangeland.
Journal of Range
Management
56
: 234-46.
Spear, R.C. (1997) Large simulation models: calibration,
uniqueness and goodness of fit.
Environmental
Modelling Software
12
: 219-28.
Stedinger, J.R., Vogel, R.M., Lee, S.U. & Batchelder, R.
(2008) Appraisal of the generalized likelihood uncer-
tainty estimation (GLUE) method.
Water Resources
Research
44
: W00B06. DOI: 10.1029/2008WR006822
Summers, J.K., Wilson, H.T. & Kou, J. (1993) A method
for quantifying the prediction uncertainties associ-
ated with water quality models.
Ecological Modelling
65
: 161-76.
Thornes, J.B. (1990) The interaction of erosional and
vegetation dynamics in land degradation: spatial out-
comes. In Thornes, J.B. (ed.),
Vegetation and Erosion
.
John Wiley & Sons, Chichester: 41-53.
Tiscareno-Lopez, M., Weltz, M.A. & Lopes, V.L. (1995)
Assessing uncertainties in WEPP's soil-erosion pre-
dictions on rangelands.
Journal of Soil and Water
Conservation
50
: 512-16.
Tiwari, A.K., Risse, L.M. & Nearing, M.A. (2000)
Evaluation of WEPP and its comparison with USLE
and RUSLE.
Transactions of the American Society of
Agricultural Engineers
43
: 1129-35.
Todini, E. & Mantovan, P. (2007) Comment on: 'On
undermining the science?' by Keith Beven.
Hydro-
logical Processes
21
: 1633-8.
42
: W05302. DOI:
10.1029/2005WR004820
Pappenberger, F., Beven, K.J., Ratto, M. & Matgen, P.
(2008) Multi-method global sensitivity analysis of
flood inundation models.
Advances in Water
Resources
31
: 1-14.
Pappenberger, F., Iorgulescu, I. and Beven, K.J. (2006)
Sensitivity analysis based on regional splits (SARS)
and regression trees.
Environmental Modelling and
Software
21
: 976-90.
Quinton, J.N. (1994)
The validation of physically-based
erosion models with particular reference to
EUROSEM
. PhD thesis, Cranfield University, Silsoe,
Bedford, UK.
Quinton J.N. (1997) Reducing predictive uncertainty in
model simulations: a comparison of two methods
using the European soil erosion model (EUROSEM).
Catena
30
: 101-17.
Refsgaard, J-C. & Abbott, M.B. (1996) The role of dis-
tributed hydrological modelling in water resour-
ces management. In Refsgaard, J-C. & Abbott, M.B.
(eds),
Distributed Hydrological Modelling
. Kluwer,
Dordrecht: 1-16.
Risse, L.M., Nearing, M.A., Nicks, A.D. & Laflen, J.M.
(1993) Error assessment in the Universal Soil Loss
Equation.
Soil Science Society of America Journal
57
:
825-33.
Romanowicz, R., Beven, K.J. & Tawn, J. (1994)
Evaluation of predictive uncertainty in non-linear
hydrological models using a Bayesian approach. In
Barnett, V. & Turkman, K.F. (eds),
Statistics for the
Environment II. Water Related Issues
. John Wiley &
Sons, Chichester: 297-317.