References - Runoff Prediction in Ungauged Basins: Synthesis across Processes, Places and Scales - page 418

Beven, K. (2007), Towards integrated environmental models of
everywhere: uncertainty, data and modelling as a learning
process, Hydrology and Earth System Sciences, 11 , 460 -
467, doi:10.5194/hess-11-460-2007.
Beven, K. J., and A. M. Binley (1992), The future of distributed
models: model calibration and uncertainty prediction,
Hydrological Processes, 6 (3), 279

Bishop, G. D., M. R. Church, J. D. Aber, et al. (1998), A comparison
of mapped estimates of long-term runoff in the northeast
United States, Journal of Hydrology, 206 ,176 - 190.
Black, P. E. (1997), Watershed functions, Journal of the American
Water Resources Association, 33 (1), 1 - 11, doi:10.1111/
j.1752 1688.1997.tb04077.x.

Blasch, K. W., T. P. A. Ferre, A. H. Christensen, and J. P.
Hoffmann (2002), New field method to determine stream-
flow timing using electrical resistance sensors, Vadose
Zone Journal, 1 (2), 289 - 299, doi:10.2113/1.2.289.
Blazkova, S., and K. J. Beven (2002), Flood frequency estimation
by continuous simulation for a catchment treated as
ungauged (with uncertainty), Water Resources Research,
38 (8), 1139.
Blazkova, S., and K. J. Beven (2004), Flood frequency estimation
by continuous simulation of subcatchment rainfalls and
discharges with the aim of improving dam safety assess-
ment in a large basin in the Czech Republic, Journal of
Hydrology, 292 (1 - 4), 153 - 172.
Blöschl, G. (1996), Scale and Scaling in Hydrology. Habilitation
thesis, Department of Hydrology and Water Resources,
Vienna University of Technology, Vienna, Austria.
Blöschl, G. (1999), Scaling issues in snow hydrology, Hydrological
Processes, 13 ,2149 - 2175.
Blöschl, G. (2001), Scaling in hydrology. Hydrological Pro-
cesses, 15 , 709 - 711.
Blöschl, G. (2005a), Rainfall-runoff modeling of ungauged catch-
ments, in M. G. Anderson (Ed.), Encyclopedia of Hydro-
logical Sciences, Chichester:

-

298.
Beven, K. J., and J. Freer (2001), Equifinality, data assimilation, and
uncertainty estimation in mechanistic modelling of complex
environmental systems, Journal of Hydrology, 249 ,11 - 29.
Beven, K. J., and M. J. Kirkby (1979), A physically based,
variable contributing area model of basin hydrology,
Hydrological

-

Sciences Bulletin, 24 (1), 43 - 69,

doi:10.1080/02626667909491834.
Beven, K. J., R. Lamb, P. Quinn, R. Romanowicz, and J. Freer
(1995), TOPMODEL and GRIDTAB: A User ' s Guide to
the Distribution Versions, 2nd edition, CRES Technical
Report TR110, Lancaster.
Bharati, L., G. Lacombe, P. Gurung, P. Jayakody, C. T. Hoanh,
and V. Smakhtin (2011), The Impacts of Water Infrastruc-
ture and Climate Change on the Hydrology of the Upper
Ganges River Basin, Colombo, Sri Lanka: International
Water Management Institute, Research Report 142,

doi:10.5337/2011.210.
Biggs, B. J. F., and M. E. Close (1989), Periphyton biomass
dynamics in gravel bed rivers: the relative effects of flows
and nutrients, Freshwater Biology, 22 (2), 209 - 231,
doi:10.1111/j.1365 - 2427.1989.tb01096.x.
Biggs, T. W., P. S. Thenkabail, M. K. Gumma, et al. (2006),
Irrigated area mapping in heterogeneous landscapes with
MODIS time series, ground truth and census data, Krishna
Basin, India, International Journal of Remote Sensing, 27
(19), 4245 - 4266, doi:10.1080/01431160600851801.
Biggs, T. W., A. Gaur, C. A. Scott, et al. (2007), Closing of the
Krishna Basin: Irrigation Development, Streamflow Deple-
tion, andMacroscale Hydrology. Colombo, Sri Lanka: Inter-
national Water Management Institute, Research Report 111.
Biggs, T. W., C. A. Scott, A. Gaur, et al. (2008), Impacts of
irrigation and anthropogenic aerosols on the water balance,
heat fluxes, and surface temperature in a river basin, Water
Resources Research, 44 (12), doi:10.1029/2008WR006847.
Birkel, C., D. Tetzlaff, S. M. Dunn, and C. Soulsby (2010),
Towards a simple dynamic process conceptualization in
rainfall-runoff models using multi-criteria calibration and
tracers in temperate, upland catchments, Hydrological
Processes, 24 , 260 - 275, doi:10.1002/hyp.
Birkel, C., D. Tetzlaff, S. M. Dunn, and C. Soulsby (2011), Using
time domain and geographic source tracers to conceptual-
ize streamflow generation processes in lumped rainfall-
runoff models, Water Resources Research, 47 , W02515,
doi:10.1029/2010WR009547.
Bishop, G. D., and Church, M. R. (1992), Automated approaches
for regional runoff mapping in the Northeastern United
States, Journal of Hydrology, 138 , 361 - 383.
Bishop, G. D., and Church, M. R. (1995), Mapping long-term
regional runoff in the eastern United States using auto-
mated approaches, Journal of Hydrology, 169 , 189 - 207.

John Wiley & Sons,

2080.
Blöschl, G. (2005b), On the fundamentals of hydrological sci-
ences, in M. G. Anderson (Ed.), Encyclopedia of Hydro-
logical Science, Chichester: John Wiley & Sons, pp. 2 - 12.
Blöschl, G. (2005c), Statistical upscaling and downscaling in
hydrology, in M. G. Anderson (Ed.), Encyclopedia of
Hydrological Sciences, Chichester: John Wiley & Sons,
pp. 135 - 154.
Blöschl, G. (2006), Hydrologic synthesis: across processes,
places, and scales, Water Resources Research, 42 ,
W03S02, doi:10.1029/2005WR004319.
Blöschl, G. (2008), Flood warning: on the value of local infor-
mation, International Journal of River Basin Management,
6 (1), 41 - 50.
Blöschl, G. (2011), Scaling and regionalization in hydrology, in
P. Wilderer (ed.), Treatise on Water Science, Volume 2,
Oxford: Academic Press, pp. 519 - 535.
Blöschl, G. and R. Grayson (2000), Spatial observations and inter-
polation, in R. Grayson and G. Blöschl (Eds.), Spatial
Patterns in Catchment Hydrology: Observations and Mod-
elling, Cambridge: Cambridge University Press, pp. 17 - 50.
Blöschl, G. and R. Kirnbauer (1991), Point snowmelt models
with different degrees of complexity: internal processes,
Journal of Hydrology, 129 , 127 - 147.
Blöschl, G. and R. Merz (2010), Landform - hydrology feedbacks,
in J.-C. Otto and R. Dikau (Eds), Landform: Structure,
Evolution, Process Control, Wien, Heidelberg: Springer,
pp. 117 - 126.

pp. 2061 -