Geoscience Reference
In-Depth Information
Kite G. W. Scaling of input data for hydrologic modelling.
Water Resources Research
, 31:2769-2781, 1995.
Kjeldsen T. R. The revitalised FSR/FEH rainfall-runoff method. Flood estimation handbook supplementary
report no. 1, Centre for Ecology & Hydrology, Wallingford, UK, 2007.
Klaus J. and Zehe E. Modelling rapid flow response of a tile-drained field site using a 2D physically based
model: Assessment of 'equifinal' model setups.
Hydrological Processes
, 24:1595-1609, 2010.
Kleidon A., Malhi Y. and Cox P. M. Maximum entropy production in environmental and ecological systems:
Introduction.
Philosophical Transactions of the Royal Society London B
, 365:1297-1302, 2010.
Kleme˘sV.
Common sense and other heresies: Selected papers on hydrology and water resources engineering
.
Canadian Water Resources Association, Cambridge, Ontario, 2000.
Klemes V. Operational testing of hydrologic simulation models.
Journal of Hydrology
, 31:13-24, 1986.
Klepper O., Scholten H. and van de Kamer J. P. G. Prediction uncertainty in an ecological model of the
Oosterschelde Estuary.
Journal of Forecasting
, 10:191-209, 1991.
Knight D. W., McGahey C., Lamb R. and Samuels P.
Practical Channel Hydraulics: Roughness, Conveyance
and Afflux
. CRC Press, 2010.
Knight D. W., Yuen K. W. H. and Al-Hamid A. A. I. Boundary shear stress distributions in open channel flow.
In Beven K. J., Chatwin P. C., and Millbank J. H., editors,
Mixing and Transport in the Environment
, pages
51-88, John Wiley & Sons, Chichester, UK, 1994.
Knight F. H.
Risk, Uncertainty and Profit
. Hart, Schaffner and Marx (reprinted by Beard Books, Washinton,
DC, 2002), 1921.
Knisel W. G. and Williams J. R. Hydrology components of CREAMS and GLEAMS. In Singh V. P., editor,
Computer Models of Watershed Hydrology
, pages 1069-1114, Water Resource Publications: Highlands
Ranch, CO, 1995.
Kokkonen T. S., Jakeman A. J., Young P. C. and Koivusalo H. J. Predicting daily flows in ungauged catchments:
Model regionalization from catchment descriptors at the Coweeta Hydrologic Laboratory, North Carolina.
Hydrological Processes
, 17:2219-2238, 2003.
Konikow L. F. and Bredehoeft J. D. Groundwater models cannot be validated.
Advances in Water Resources
,
15:75-83, 1992.
Kool J. B., Parker J. C. and van Genuchten M. T. Parameter estimation for unsaturated flow and transport
models: A review.
Journal of Hydrology
, 91:255-293, 1987.
Kothyari U. C. and Singh V. P. A multiple-input single-output model for flow forecasting.
Journal of Hydrology
,
220:12-26, 1999.
Kraft
Vache
P.,
K.
B.,
Frede
H.-G.
and
Breuer
L.
A
hydrological
programming
language
exten-
sion
for
integrated
catchment
models.
Environmental Modelling & Software
,
26:828-830,
DOI:
10.1016/j.envsoft.2010.12.009, 2011.
Krueger T., Freer J., Quinton J. N., Macleod C. J. A., Bilotta G. S., Brazier R. E., Butler P. and Haygarth
P. M. Ensemble evaluation of hydrological model hypotheses.
Water Resources Research
, 46:W07516, DOI:
10.1029/2009WR007845, 2010.
Krzysztofowicz R. Bayesian theory of probabilistic forecasting via deterministic hydrologic model.
Water
Resources Research
, 35:2739-2750, 1999.
Krzysztofowicz R. The case for probabilistic forecasting in hydrology.
Journal of Hydrology
, 249:2-9,
DOI:10.1016/S0022-1694(01)00420-6, 2001a.
Krzysztofowicz R. Integrator of uncertainties for probabilistic river stage forecasting: Precipitation-dependent
model.
Journal of Hydrology
, 249:69-85, 2001b.
Krzysztofowicz R. Bayesian system for probabilistic river stage forecasting.
Journal of Hydrology
, 268:16-40,
2002.
Krzysztofowicz R. and Herr H. D. Hydrologic uncertainty processor for probabilistic river stage forecasting:
Precipitation-dependent model.
Journal of Hydrology
, 249:46-68, 2001.
Krzysztofowicz R. and Kelly K. S. Hydrologic uncertainty processor for probabilistic river stage forecasting.
Water Resources Research
, 36:3265-3277, 2000.
Kuczera G. Improved parameter inference in catchment models: 1. Evaluating parameter uncertainty.
Water
Resources Research
, 19:1151-1162, 1983a.
Kuczera G. Improved parameter inference in catchment models: 2. Combining different kinds of hydrologic
data and testing their compatibility.
Water Resources Research
, 19:1163-1172, 1983b.
