Zobrazeno 1 - 10
of 89
pro vyhledávání: '"S. Halldin"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Pp 3597-3618 (2017)
Studies for the prevention and mitigation of floods require information on discharge and extent of inundation, commonly unavailable or uncertain, especially during extreme events. This study was initiated by the devastating flood in Tegucigalpa, th
Externí odkaz:
https://doaj.org/article/01495f13f0444b80ac75b009ac99eca4
Publikováno v:
Hydrology and Earth System Sciences, Vol 18, Iss 8, Pp 2993-3013 (2014)
Robust and reliable water-resource mapping in ungauged basins requires estimation of the uncertainties in the hydrologic model, the regionalisation method, and the observational data. In this study we investigated the use of regionalised flow-duratio
Externí odkaz:
https://doaj.org/article/c89ccbfca4574bdf806c47f4810707c7
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 7, Pp 2845-2857 (2013)
Large-scale hydrological modelling has become an important tool for the study of global and regional water resources, climate impacts, and water-resources management. However, modelling efforts over large spatial domains are fraught with problems of
Externí odkaz:
https://doaj.org/article/47f48e9ca7ad458ba36c9b7bbadc9ee2
Publikováno v:
Hydrology and Earth System Sciences, Vol 15, Iss 8, Pp 2481-2494 (2011)
World water resources have primarily been analysed by global-scale hydrological models in the last decades. Runoff generation in many of these models are based on process formulations developed at catchments scales. The division between slow runoff (
Externí odkaz:
https://doaj.org/article/b4784b1b1a6c40f5a50dfe97412ca4de
Autor:
I. K. Westerberg, J.-L. Guerrero, P. M. Younger, K. J. Beven, J. Seibert, S. Halldin, J. E. Freer, C.-Y. Xu
Publikováno v:
Hydrology and Earth System Sciences, Vol 15, Iss 7, Pp 2205-2227 (2011)
The degree of belief we have in predictions from hydrologic models will normally depend on how well they can reproduce observations. Calibrations with traditional performance measures, such as the Nash-Sutcliffe model efficiency, are challenged by pr
Externí odkaz:
https://doaj.org/article/139a43a15a9844eda901faae7c4eaf6b
Discharge observations and reliable rainfall forecasts are essential for flood prediction but their availability and accuracy are often limited. However, even scarce data may still allow adequate flood forecasts to be made. Here, we explored how far
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d775ff15c5341dc0a265911d2142e05d
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78082
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78082
Robust and reliable water-resources mapping in ungauged basins requires estimation of the uncertainties in the hydrologic model, the regionalisation method, and the observational data. In this study we investigated the use of regionalised flow-durati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cf351a96c9c6ebd3f1a4e43e2ddc9bd
https://doi.org/10.5194/hessd-10-15681-2013
https://doi.org/10.5194/hessd-10-15681-2013
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