Zobrazeno 1 - 7
of 7
pro vyhledávání: '"H. J. Henriksen"'
Autor:
E. Sebok, H. J. Henriksen, E. Pastén-Zapata, P. Berg, G. Thirel, A. Lemoine, A. Lira-Loarca, C. Photiadou, R. Pimentel, P. Royer-Gaspard, E. Kjellström, J. H. Christensen, J. P. Vidal, P. Lucas-Picher, M. G. Donat, G. Besio, M. J. Polo, S. Stisen, Y. Caballero, I. G. Pechlivanidis, L. Troldborg, J. C. Refsgaard
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 5605-5625 (2022)
Various methods are available for assessing uncertainties in climate impact studies. Among such methods, model weighting by expert elicitation is a practical way to provide a weighted ensemble of models for specific real-world impacts. The aim is to
Externí odkaz:
https://doaj.org/article/0b1a090d8c3a4240b0d344e12b677079
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 5859-5877 (2022)
There is an urgent demand for assessments of climate change impacts on the hydrological cycle at high spatial resolutions. In particular, the impacts on shallow groundwater levels, which can lead to both flooding and drought, have major implications
Externí odkaz:
https://doaj.org/article/5d1a4c83444d4cd6871f8448c49a3b04
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 4603-4619 (2019)
Machine learning provides great potential for modelling hydrological variables at a spatial resolution beyond the capabilities of physically based modelling. This study features an application of random forests (RF) to model the depth to the shallow
Externí odkaz:
https://doaj.org/article/f090f2c9d1e646a6bf88f1e11ac7d486
Autor:
M. P. Hare, C. van Bers, P. van der Keur, H. J. Henriksen, J. Luther, C. Kuhlicke, F. Jaspers, C. Terwisscha van Scheltinga, J. Mysiak, E. Calliari, K. Warner, H. Daniel, J. Coppola, P. F. McGrath
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 14, Iss 8, Pp 2157-2163 (2014)
This brief communication presents the work and objectives of the CATALYST project on "Capacity Development for Hazard Risk Reduction and Adaptation" funded by the European Commission (October 2011–September 2013). CATALYST set up a multi-regional t
Externí odkaz:
https://doaj.org/article/e44458db174340229fc728d62f28bd9e
Autor:
S. Stisen, A. L. Højberg, L. Troldborg, J. C. Refsgaard, B. S. B. Christensen, M. Olsen, H. J. Henriksen
Publikováno v:
Hydrology and Earth System Sciences, Vol 16, Iss 11, Pp 4157-4176 (2012)
Precipitation gauge catch correction is often given very little attention in hydrological modelling compared to model parameter calibration. This is critical because significant precipitation biases often make the calibration exercise pointless, espe
Externí odkaz:
https://doaj.org/article/5f88fe3f63af4b338462ce22302b0d5a
Publikováno v:
Geological Society, London, Special Publications. 517
Chalk and limestone aquifers contribute one-third of the drinking water supply in Denmark, and one-sixth of that national groundwater resource is assessed as having a ‘Poor’ status in terms of the quantitative Water Framework Directive due to int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2549c0a15e58b01ba0147c050658c307
https://doi.org/10.1144/sp517-2022-5
https://doi.org/10.1144/sp517-2022-5
Autor:
S. Stisen, A. L. Højberg, L. Troldborg, J. C. Refsgaard, B. S. B. Christensen, M. Olsen, H. J. Henriksen
An existing rain gauge catch correction method addressing solid and liquid precipitation was applied both as monthly mean correction factors based on a 30 yr climatology (standard correction) and as daily correction factors based on daily observation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68cb416dbca96201f1e7d2732d0b2a91
https://doi.org/10.5194/hessd-9-3607-2012
https://doi.org/10.5194/hessd-9-3607-2012
