Zobrazeno 1 - 10
of 10
pro vyhledávání: '"I. G. Pechlivanidis"'
Autor:
A. F. Van Loon, S. Kchouk, A. Matanó, F. Tootoonchi, C. Alvarez-Garreton, K. E. A. Hassaballah, M. Wu, M. L. K. Wens, A. Shyrokaya, E. Ridolfi, R. Biella, V. Nagavciuc, M. H. Barendrecht, A. Bastos, L. Cavalcante, F. T. de Vries, M. Garcia, J. Mård, I. N. Streefkerk, C. Teutschbein, R. Tootoonchi, R. Weesie, V. Aich, J. P. Boisier, G. Di Baldassarre, Y. Du, M. Galleguillos, R. Garreaud, M. Ionita, S. Khatami, J. K. L. Koehler, C. H. Luce, S. Maskey, H. D. Mendoza, M. N. Mwangi, I. G. Pechlivanidis, G. G. Ribeiro Neto, T. Roy, R. Stefanski, P. Trambauer, E. A. Koebele, G. Vico, M. Werner
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 3173-3205 (2024)
Droughts are often long-lasting phenomena, without a distinct start or end and with impacts cascading across sectors and systems, creating long-term legacies. Nevertheless, our current perceptions and management of droughts and their impacts are ofte
Externí odkaz:
https://doaj.org/article/d762287346814df4b6fdcb6a79f2b280
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
Autor:
N. Hempelmann, C. Ehbrecht, E. Plesiat, G. Hobona, J. Simoes, D. Huard, T. J. Smith, U. S. McKnight, I. G. Pechlivanidis, C. Alvarez-Castro
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W1-2022, Pp 187-194 (2022)
Recent advances in modelling capabilities and data processing combined with vastly improved observation tools and networks have resulted in the expansion of available weather and climate information, from historical observations to seasonal climate f
Externí odkaz:
https://doaj.org/article/b1a49b325e7c4ecaaf31e165a89733e3
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 1189-1209 (2021)
Probabilistic seasonal forecasts are important for many water-intensive activities requiring long-term planning. Among the different techniques used for seasonal forecasting, the ensemble streamflow prediction (ESP) approach has long been employed du
Externí odkaz:
https://doaj.org/article/987542f6ef4a40aaaa11a99bafef0036
Publikováno v:
Hydrology Research, Vol 48, Iss 4, Pp 1118-1130 (2017)
The significance of spatial variability of rainfall on runoff is explored as a function of catchment scale and type, and antecedent conditions via the continuous time, semi-distributed probability distributed model (PDM) hydrological model applied to
Externí odkaz:
https://doaj.org/article/5df11417637143c0a9ef5d50dab53b44
Autor:
I. G. Pechlivanidis, B. Arheimer
Publikováno v:
Hydrology and Earth System Sciences, Vol 19, Iss 11, Pp 4559-4579 (2015)
The scientific initiative Prediction in Ungauged Basins (PUB) (2003–2012 by the IAHS) put considerable effort into improving the reliability of hydrological models to predict flow response in ungauged rivers. PUB's collective experience advanced hy
Externí odkaz:
https://doaj.org/article/e8d760f7de0c4dfc9ec095841715affb
Autor:
R. Pimentel, B. Arheimer, L. Crochemore, J. C. M. Andersson, I. G. Pechlivanidis, D. Gustafsson
Publikováno v:
Water Resources Research. 59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ab0443e435354b45365c7baa11b43f9
https://doi.org/10.1029/2022wr033447
https://doi.org/10.1029/2022wr033447
Publikováno v:
Journal of Hydrology. 386:198-209
Distributed hydrological models have the capability to incorporate spatially variable inputs, to represent spatial heterogeneity of catchments and to generate outputs at interior locations. However calibrating a distributed model is challenging so mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceae4fa1dd6d0113c75af7397db1b02b
https://doi.org/10.1016/j.jhydrol.2010.03.022
https://doi.org/10.1016/j.jhydrol.2010.03.022
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Autor:
N. Hempelmann, C. Ehbrecht, E. Plesiat, G. Hobona, J. Simoes, D. Huard, T. J. Smith, U. S. McKnight, I. G. Pechlivanidis, C. Alvarez-Castro
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. :187-194
Recent advances in modelling capabilities and data processing combined with vastly improved observation tools and networks have resulted in the expansion of available weather and climate information, from historical observations to seasonal climate f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7024f690f8e24375113f3b554cf35da2