Zobrazeno 1 - 10
of 33
pro vyhledávání: '"J. O. Skøien"'
Publikováno v:
Earth System Science Data, Vol 14, Pp 4435-4443 (2022)
For about 24 000 river basins across Europe, we provide a continuous representation of the streamflow regime in terms of empirical flow-duration curves (FDCs), which are key signatures of the hydrological behaviour of a catchment and are widely used
Externí odkaz:
https://doaj.org/article/4c2d7b5a241344e5a62662cab96194f0
Autor:
V. Thiemig, G. N. Gomes, J. O. Skøien, M. Ziese, A. Rauthe-Schöch, E. Rustemeier, K. Rehfeldt, J. P. Walawender, C. Kolbe, D. Pichon, C. Schweim, P. Salamon
Publikováno v:
Earth System Science Data, Vol 14, Pp 3249-3272 (2022)
In this paper we present EMO-5 (“European Meteorological Observations”, spatial resolution of 5 km), a European high-resolution, (sub-)daily, multi-variable meteorological dataset built on historical and real-time observations obtained by integra
Externí odkaz:
https://doaj.org/article/475c5078c31445db8b4145254f4be19a
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 373, Pp 109-114 (2016)
For many years, meteorological models have been run with perturbated initial conditions or parameters to produce ensemble forecasts that are used as a proxy of the uncertainty of the forecasts. However, the ensembles are usually both biased (the m
Externí odkaz:
https://doaj.org/article/7080b6c8af8e45cd863449977cd495f2
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 4, Pp 1575-1588 (2013)
In the United States, estimation of flood frequency quantiles at ungauged locations has been largely based on regional regression techniques that relate measurable catchment descriptors to flood quantiles. More recently, spatial interpolation techniq
Externí odkaz:
https://doaj.org/article/1e9d3235871244ac818a464280e6f95a
Publikováno v:
Hydrology and Earth System Sciences, Vol 15, Iss 3, Pp 715-727 (2011)
Recent studies highlight that spatial interpolation techniques of point data can be effectively applied to the problem of regionalization of hydrometric information. This study compares two innovative interpolation techniques for the prediction of lo
Externí odkaz:
https://doaj.org/article/4842e0b7028849d98ed3a95c9e867bdc
Autor:
J. Arieira, D. Karssenberg, S. M. de Jong, E. A. Addink, E. G. Couto, C. Nunes da Cunha, J. O. Skøien
Publikováno v:
Biogeosciences, Vol 8, Iss 3, Pp 667-686 (2011)
Development of efficient methodologies for mapping wetland vegetation is of key importance to wetland conservation. Here we propose the integration of a number of statistical techniques, in particular cluster analysis, universal kriging and error pro
Externí odkaz:
https://doaj.org/article/fe9394ad51cb46eb8e2ba7f4cf5968bf
Publikováno v:
Hydrology and Earth System Sciences, Vol 10, Iss 2, Pp 277-287 (2006)
We present Top-kriging, or topological kriging, as a method for estimating streamflow-related variables in ungauged catchments. It takes both the area and the nested nature of catchments into account. The main appeal of the method is that it is a bes
Externí odkaz:
https://doaj.org/article/f1cd4857c96a4cc4af253630f93e8ccf
Autor:
J. O. Skøien, G. Blöschl
Publikováno v:
Hydrology and Earth System Sciences, Vol 10, Iss 5, Pp 645-662 (2006)
In this paper catchments are conceptualised as linear space-time filters. Catchment area A is interpreted as the spatial support and the catchment response time T is interpreted as the temporal support of the runoff measurements. These two supports a
Externí odkaz:
https://doaj.org/article/f7c101e58186455fbc3944472a09449e
Publikováno v:
Water Resources Research. 52:5555-5576
Few methods directly transfer streamflow measurements for continuous prediction of ungauged catchments. Top-kriging has been used mainly to predict the statistical properties of runoff, but has been shown to outperform traditional regionalization app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58ebcb9c7454f3fff681f8ba6e901886
https://doi.org/10.1002/2016wr018716
https://doi.org/10.1002/2016wr018716
Autor:
Ana C. M. Malhado, Philippe Mayaux, Juliana Stropp, Richard J. Ladle, J. O. Skøien, William H. Temperley, Julien Gaffuri, Joaquín Hortal
Publikováno v:
Global Ecology and Biogeography. 25:1085-1096
J.H. was funded by a Spanish DGCyT Ramon y Cajal grant and by a CNPq Special Visiting Researcher grant (no. 401471/2014-4).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0cd214ba44c6c6bc625d574d1e5eccd
https://doi.org/10.1111/geb.12468
https://doi.org/10.1111/geb.12468