Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Kolbjørn Engeland"'
Autor:
Kolbjørn Engeland, Maris Klavins, Harri Koivusalo, Jurate Kriauciuniene, Elve Lode, Árni Snorrason, Linus Zhang, Peter Bauer-Gottwein, Jórunn Harðardóttir
Publikováno v:
Hydrology Research, Vol 54, Iss 9, Pp iii-viii (2023)
Externí odkaz:
https://doaj.org/article/1095e6cba55c47b69b84ab00fe4d3aba
Autor:
Dan Rosbjerg, Kolbjørn Engeland, Eirik Førland, Ali Torabi Haghighi, Ali Danandeh Mehr, Jonas Olsson
Publikováno v:
Hydrology Research, Vol 53, Iss 6, Pp 840-866 (2022)
The paper presents prominent Nordic contributions to stochastic methods in hydrology and water resources during the previous 50 years. The development in methods from analysis of stationary and independent hydrological events to include non-stationar
Externí odkaz:
https://doaj.org/article/ed64a4e3135d433d86a520cee72b919d
Publikováno v:
Hydrology Research, Vol 52, Iss 6, Pp 1309-1327 (2021)
Sensitivity analysis is a commonly used technique in hydrological modeling for different purposes, including identifying the influential parameters and ranking them. This paper proposes a simplified sensitivity analysis approach by applying the Taguc
Externí odkaz:
https://doaj.org/article/0fa1ad2e55a7444092e8c8be6a11951d
Autor:
Kolbjørn Engeland, Knut Alfredsen
Publikováno v:
Hydrology Research, Vol 51, Iss 2, Pp 143-145 (2020)
Externí odkaz:
https://doaj.org/article/2699fca7004a4772927e94e80316d20a
Autor:
Fanny Ekblom Johansson, Jostein Bakke, Eivind Nagel Støren, Øyvind Paasche, Kolbjørn Engeland, Fabien Arnaud
Publikováno v:
Frontiers in Earth Science, Vol 8 (2020)
Lake sediments can retain imprints of past floods, enabling reconstructions that span well-beyond instrumental time series. Time series covering thousands of years can document the natural range of flood variability, which is critical for understandi
Externí odkaz:
https://doaj.org/article/fa85cde71b094b17a7fd9c7b2f352fed
Publikováno v:
Hydrology Research, Vol 49, Iss 2, Pp 450-465 (2018)
The aim of this study was to evaluate the predictive fit of probability distributions to annual maximum flood data, and in particular to evaluate (1) which combination of distribution and estimation method gives the best fit and (2) whether the answe
Externí odkaz:
https://doaj.org/article/50f5c360352541248227e33efaac1e15
Publikováno v:
Hydrology Research, Vol 49, Iss 2, Pp 466-486 (2018)
There is a need to estimate design floods for areal planning and the design of important infrastructure. A major challenge is the mismatch between the length of the flood records and needed return periods. A majority of flood time series are shorter
Externí odkaz:
https://doaj.org/article/f115de0ebd714ce29378197dafade2e9
Small catchments have a quick flood response subject to intense precipitation. Previous studies show a lack of predictability for rain induced floods in these catchments. The aims of this study are to (i) apply processing techniques that focus on imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43731fd83b3d6b1762cdd929cf281678
https://doi.org/10.5194/egusphere-egu23-11632
https://doi.org/10.5194/egusphere-egu23-11632
Autor:
Kolbjørn Engeland, Helene Birkelund Erlandsen, Emiliano Gelati, Shaochun Huang, Devaraju Narayanappa, Norbert Pirk, Olga Silantyeva, Lena Merete Tallaksen, Astrid Vatne, Yeliz A Yilmaz
The main motivation for this study is to improve knowledge about the actual evapotranspiration in cold environments. Erlandsen et al (2021) summarize evapotranspiration estimates that range from 175 – 500 mm/year, i.e. between 13 and 31% of mean an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82ad7a5da5fa3c56e88dd96cc5e0111e
https://doi.org/10.5194/egusphere-egu23-10854
https://doi.org/10.5194/egusphere-egu23-10854