Zobrazeno 1 - 6
of 6
pro vyhledávání: '"M. G. F. Werner"'
Autor:
H. C. Winsemius, E. Dutra, F. A. Engelbrecht, E. Archer Van Garderen, F. Wetterhall, F. Pappenberger, M. G. F. Werner
Publikováno v:
Hydrology and Earth System Sciences, Vol 18, Iss 4, Pp 1525-1538 (2014)
Subsistence farming in southern Africa is vulnerable to extreme weather conditions. The yield of rain-fed agriculture depends largely on rainfall-related factors such as total seasonal rainfall, anomalous onsets and lengths of the rainy season and th
Externí odkaz:
https://doaj.org/article/d7fef714e38e4d808ed9dfce29838c00
Autor:
J. S. Verkade, M. G. F. Werner
Publikováno v:
Hydrology and Earth System Sciences, Vol 15, Iss 12, Pp 3751-3765 (2011)
Flood risk can be reduced by means of flood forecasting, warning and response systems (FFWRS). These systems include a forecasting sub-system which is imperfect, meaning that inherent uncertainties in hydrological forecasts may result in false alarms
Externí odkaz:
https://doaj.org/article/01bda183fb9d4ffc87eed5f6e318399d
Publikováno v:
Hydrology and Earth System Sciences, Vol 9, Iss 4, Pp 412-430 (2005)
To translate a point hydrograph forecast into products for use by environmental agencies and civil protection authorities, a hydraulic model is necessary. Typical one- and two-dimensional hydraulic models are able to predict dynamically varying inund
Externí odkaz:
https://doaj.org/article/cd643f437ed045c1935d993601935330
Autor:
M. G. F. Werner
Publikováno v:
Hydrology and Earth System Sciences, Vol 8, Iss 6, Pp 1141-1152 (2004)
A comparison is made of 1D, 2D and integrated 1D-2D hydraulic models in predicting flood stages in a 17 km reach of the River Saar in Germany. The models perform comparably when calibrated against limited data available from a single gauge in the rea
Externí odkaz:
https://doaj.org/article/1c845c3d28774ae6b5d2d4e2d1c41413
Autor:
S.-T. Khu, M. G. F. Werner
Publikováno v:
Hydrology and Earth System Sciences, Vol 7, Iss 5, Pp 680-692 (2003)
Monte-Carlo (MC) simulation based techniques are often applied for the estimation of uncertainties in hydrological models due to uncertain parameters. One such technique is the Generalised Likelihood Uncertainty Estimation technique (GLUE). A major d
Externí odkaz:
https://doaj.org/article/93e6b71280c9421499288c9abe9ddea5
Autor:
E. Archer Van Garderen, Hessel Winsemius, Florian Pappenberger, Fredrik Wetterhall, Francois Engelbrecht, M. G. F. Werner, Emanuel Dutra
Publikováno v:
Hydrology and Earth System Sciences, Vol 18, Iss 4, Pp 1525-1538 (2014)
Subsistence farming in southern Africa is vulnerable to extreme weather conditions. The yield of rain-fed agriculture depends largely on rainfall-related factors such as total seasonal rainfall, anomalous onsets and lengths of the rainy season and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d822ca443b5e869c3ceb12d0f6d924
https://doi.org/10.5194/hess-18-1525-2014
https://doi.org/10.5194/hess-18-1525-2014