Results 11 to 20 of about 2,606,560 (255)

Ensemble evaluation of hydrological model hypotheses [PDF]

, 2010
It is demonstrated for the first time how model parameter, structural and data uncertainties can be accounted for explicitly and simultaneously within the Generalized Likelihood Uncertainty Estimation (GLUE) methodology.
Macleod, C.J.A., Quinton, John N., Krueger, T., Haygarth, P.M., Butler, Patricia, Christopher J. A. Macleod, Brazier, R.E., Haygarth, Philip M., Brazier, R. E., Macleod, Christopher J. A., Bilotta, Gary, Macleod, Christopher J.A., John N. Quinton, Bilotta, G.S., Brazier, R., Brazier, Richard E., Bilotta, Gary S., Granger, S, Richard E. Brazier, Jim Freer, Quinton, J. N., Bilotta, G. S., Tobias Krueger, Philip M. Haygarth, Gary S. Bilotta, Freer, Jim, Haygarth, P. M., Haygarth, P., Patricia Butler, Macleod, C. J. A., Krueger, Tobias, Butler, T., Freer, J., Butler, P., Freer, J.E, Quinton, J.   +35 more
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On the colour and spin of epistemic error (and what we might do about it) [PDF]

, 2011
Disinformation as a result of epistemic error is an issue in hydrological modelling. In particular the way in which the colour in model residuals resulting from epistemic errors should be expected to be non-stationary means that it is difficult to ...
A. Wood, Wood, Andrew, Smith, P. J., Beven, Keith, Smith, Paul, P. J. Smith, Wood, A., K. Beven   +7 more
core   +6 more sources

AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods [PDF]

Geoscientific Model Development, 2022
Machine learning has shown great promise for simulating hydrological phenomena. However, the development of machine-learning-based hydrological models requires advanced skills from diverse fields, such as programming and hydrological modeling ...
A. Abbas, L. Boithias, Y. Pachepsky, K. Kim, J. A. Chun, K. H. Cho   +5 more
doaj   +1 more source

Advances and visions in large-scale hydrological modelling : findings from the 11th Workshop on Large-Scale Hydrological Modelling [PDF]

, 2008
Large-scale hydrological modelling has become increasingly wide-spread during the last decade. An annual workshop series on large-scale hydrological modelling has provided, since 1997, a forum to the German-speaking community for discussing recent ...
K. Berkhoff, P. Döll, Fohrer, N., Hagemann, S., Krol, Martinus S., Fohrer, Nicola, Hagemann, Stefan, M. Krol, H. Bormann, D. Gerten, Bormann, H., Berkhoff, Karin, Bormann, Helge, S. Hagemann, Gerten, Dieter, Gerten, D., N. Fohrer, Krol, M., Döll, P., Döll, Petra, Krol, Maarten, Berkhoff, K.   +21 more
core   +3 more sources

What is the hydrologically effective area of a catchment?

Environmental Research Letters, 2020
Topographically delineated catchments are the common spatial unit to connect human activities and climate change with their consequences for water availability as a prerequisite for sustainable water management.
Yan Liu, Thorsten Wagener, Hylke E Beck, Andreas Hartmann   +3 more
doaj   +1 more source

The source detection of 28 September 2018 Sulawesi tsunami by using ionospheric GNSS total electron content disturbance

Geoscience Letters, 2020
The 28 September 2018 magnitude Mw7.8 Palu, Indonesia earthquake (0.178° S, 119.840° E, depth 13 km) occurred at 10:02 UTC. The major earthquake triggered catastrophic liquefaction, landslides, and a near-field tsunami.
Jann-Yenq Liu, Chi-Yen Lin, Yuh-Ing Chen, Tso-Ren Wu, Meng-Ju Chung, Tien-Chi Liu, Yu-Lin Tsai, Loren C. Chang, Chi-Kuang Chao, Dimitar Ouzounov, Katsumi Hattori   +10 more
doaj   +1 more source

Interacting Effects of Precipitation and Potential Evapotranspiration Biases on Hydrological Modeling

Water Resources Research, 2023
The quality of precipitation (P) and potential evapotranspiration (PET) data greatly affects the hydrological modeling performance. Considerable attention has been paid to identifying the influence of biased P or PET inputs independently.
Jiao Wang, Lu Zhuo, Miguel Angel Rico‐Ramirez, Ahmed Abdelhalim, Dawei Han   +4 more
doaj   +1 more source

Role of forcing uncertainty and background model error characterization in snow data assimilation [PDF]

Hydrology and Earth System Sciences, 2017
Accurate specification of the model error covariances in data assimilation systems is a challenging issue. Ensemble land data assimilation methods rely on stochastic perturbations of input forcing and model prognostic fields for developing ...
S. V. Kumar, J. Dong, C. D. Peters-Lidard, D. Mocko, D. Mocko, B. Gómez   +5 more
doaj   +1 more source

On the spatio-temporal analysis of hydrological droughts from global hydrological models [PDF]

, 2011
The recent concerns for world-wide extreme events related to climate change have motivated the development of large scale models that simulate the global water cycle.
G. A. Corzo Perez, F. Voß, M. H. J. van Huijgevoort, Lanen, H.A.J., van, Huijgevoort, M.H.J., van, Voss, F., van Huijgevoort, M.H.J., van Lanen, H.A.J., Corzo Perez, G., H. A. J. van Lanen   +9 more
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Sea level rise, surface warming, and the weakened buffering ability of South China Sea to strong typhoons in recent decades

Scientific Reports, 2017
Each year, a number of typhoons in the western North Pacific pass through the Luzon Strait into South China Sea (SCS). Although the storms remain above a warm open sea, the majority of them weaken due to atmospheric and oceanic environments unfavorable ...
Jingru Sun, Leo Oey, F.-H. Xu, Y.-C. Lin
doaj   +1 more source