References - Runoff Prediction in Ungauged Basins: Synthesis across Processes, Places and Scales - page 440

Littlewood, I. G., and B. F. W. Croke (2008), Data time-step
dependency of conceptual rainfall - streamflow model par-
ameters: an empirical study with implications for regional-
isation, Hydrological Sciences Journal, 53 (4), 685 - 695.
Littlewood, I. G., B. F. W. Croke, A. J. Jakeman, and M. Sivapalan
(2003), The role of

series index-flood modeling, Water Resources Research,
33 (4), 771 - 781, doi:10.1029/96WR03850.
Madsen, H., and D. Rosbjerg (1998), A regional Bayesian
method for estimation of extreme streamflow droughts, in
E. Parent, B. Bobee, P. Hubert, and J. Miquel (Eds.),
Statistical and Bayesian Methods in Hydrological Sci-
ences, UNESCO, PHI Series, pp. 327

modelling for Prediction in
Ungauged Basins (PUB), Hydrological Processes, 17 (8),
1673 - 1679.
Liu, Y., and H. V. Gupta (2007), Uncertainty in hydrologic
modeling: toward an integrated data assimilation frame-
work, Water Resources Research,

' topdown '

340.
Madsen, H., P. F. Rasmussen, and D. Rosbjerg (1997), Compari-
son of annual maximum series and partial duration series
methods for modeling extreme hydrologic events: 1. At-site
modeling, Water Resources Research, 33 (4), 747,
doi:10.1029/96WR03848.
Maheshwari, B. L., K. F. Walker, and T. A. McMahon (1995),
Effects of river regulation on the ow regime of the River
Murray, Australia, Regulated Rivers: Research and Man-
agement, 10 ,15 - 38.
Majtenyi, S. I. (1972), A model to predict annual watershed
discharge, Journal of

-

43 , W07401,

doi:10.1029/2006WR005756.
Liu, Y., J. E. Freer, K. J. Beven, and P. Matgen (2009), Towards a
limits of acceptability approach to the calibration of hydro-
logical models: extending observation error, Journal of
Hydrology, 367 (1 - 2), 93 - 103.
Loon, A. F. van, and H. A. J. van Lanen (2011), A process-based
typology of hydrological drought, Hydrology and Earth
System Sciences, 16 , 1915 - 1946, doi:10.5194/hess-16-
1915-2012.
Lough, J. M. (2007), Tropical river flow and rainfall reconstruc-
tions from coral luminescence: Great Barrier Reef, Austra-
lia, Paleoceanography,

the Hydraulics Division, ASCE,

98 (7), 1171 - 1186.
Mallet, C., and F. Bretar (2009), Full-waveform topographic lidar:
state-of-the-art, Journal of Photogrammetry and Remote
Sensing, 64 (1), 1 - 16, doi:10.1016/j.isprsjprs.2008.09.007.
Maloszewski, P., and A. Zuber (1982), Determining the turnover
time of groundwater systems with the aid of environmental
tracers. 1. Models and their applicability, Journal of
Hydrology, 57 (3 - 4), 207 - 231.
Marchi, L., M. Borga, E. Preciso, et al. (2009), Comprehensive
post-event survey of a flash flood in Western Slovenia:
observation strategy and lessons learned, Hydrological
Processes, 23 (26), 3761 - 3770.
Marchi, L., M. Borga, E. Preciso, and E. Gaume (2010),
Characterisation of selected extreme flash floods in Europe
and implications for flood risk management, Journal of Hydrol-
ogy, 394 (1 - 2), 118 - 133, doi:10.1016/j.jhydrol.2010.07.017.
Mardia, K. V. (1972), Statistics of Directional Data, New York:
Academic Press.
Markart, G., R. Kirnbauer, B. Kohl, H. Pirkl, and L. Stepanek
(2006), Approaches to runoff management for land use
planning in small catchments of mountain Austria, Envir-
onmental Planning and Management, 49 (1), 58 - 71.
Markovic, D., and M. Koch (2006), Characteristic scales, tem-
poral variability modes and simulation of monthly Elbe
River flow time series at ungauged locations, Physics and
Chemistry of the Earth Parts A/B/C, 31 (18), 1262 - 1273.
Marshall, I. B., C. A. S. Smith, and C. J. Selby (1996), National
framework for monitoring and reporting on environmental
sustainability in Canada, Environmental Monitoring and
Assessment, 39 (1 - 3), 25 - 38.
Martin, R. O. R. (1964), Use of precipitation records in the
correlation of streamflow records, International Associ-
ation of Scientific Hydrology, Bulletin, 9 (4), 24 - 31, doi.
org/10.1080/02626666409493684.
Massei, N., B. Laignel, J. Deloffre, et al. (2009), Long-term
hydrological changes of the Seine river flow (France) and
their relation to the North-Atlantic Oscillation over the
period 1950 - 2008, International Journal of Climatology,
30 (14), 2146 - 2154, doi:10.1002/joc.2022.

22 , PA2218, doi:10.1029/

2006PA001377,
Lu, M., T. Koike, and N. Hayakawa (1989), A rainfall-runoff model
using distributed data of rain and altitude, Journalofthe
Civil Engineering Society, Japan, 441 /II-12, 135 - 142.
Lucas, Y. (2001), The role of plants in controlling rates and
products of weathering: importance of biological pumping,
Annual Review of Earth and Planetary Sciences, 29 (1),
135 163, doi:10.1146/annurev.earth.29.1.135.

Luce, C. H. (2002), Hydrological processes and pathways affected
by forest roads: what do we still need to learn? Hydrological
Processes, 16 (14), 2901 - 2904, doi:10.1002/hyp.5061.
Ludwig, R., and P. Schneider (2006), Validation of digital eleva-
tion models from SRTM X-SAR for applications in hydro-
logic modeling, ISPRS Journal of Photogrammetry and
Remote

-

Sensing, 60 (5), 339 - 358, doi:10.1016/j.

isprsjprs.2006.05.003.
Lull, H. W., and W. E. Sopper (1966), Factors that influence
streamflow in the northeast, Water Resources Research,
2 (3), 371 - 379.
Lundberg, A., N. Granlund, and D. Gustafsson (2010), Towards
automated ' Ground truth ' snow measurements: a review of
operational and new measurement methods for Sweden,
Norway, and Finland, Hydrological Processes, 24 , 1955 -
1970, doi:10.1002/hyp.7658.
Lyne, V., and M. Hollick (1979), Stochastic time-variable rain-
fall-runoff modelling, in Proceedings of Hydrology and
Water Resources Symposium, Perth, Institution of Engin-
eers Australia, pp. 89 - 92.
Lyon, S. W., H. Laudon, J. Seibert, et al. (2010), Controls on
snowmelt water mean transit times in northern boreal
catchments, Hydrological Processes, 24 (12), 1672 - 1684,
doi:10.1002/hyp.7577.
Madsen, H., and D. Rosbjerg (1997), Generalized least squares
and empirical Bayes estimation in regional partial duration