Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5595-2020
https://doi.org/10.5194/hess-24-5595-2020
Research article
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24 Nov 2020
Research article | Highlight paper |  | 24 Nov 2020

New flood frequency estimates for the largest river in Norway based on the combination of short and long time series

Kolbjørn Engeland, Anna Aano, Ida Steffensen, Eivind Støren, and Øyvind Paasche

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Cited articles

Aano, A.: Flood frequency analyses based on streamflow time series, historical information and paleohydrological data, MS thesis, University of Oslo, Oslo, Norway, 2017. 
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K. and Feyen, L.: Global projections of river flood risk in a warmer world, Earth's Future, 5, 171–182, https://doi.org/10.1002/2016EF000485, 2017. 
Appleby, P. G.: Chronostratigraphic Techniques in Recent Sediments, in: Environmental Change Using Lake Sediments Volume 1: Basin Analysis, Coring, and Chronological Techniques, edited by: Last, W. M. and Smol, J. P., Springer, Dordrecht, the Netherlands, 171–203, https://doi.org/10.1007/0-306-47669-X_9, 2001. 
Appleby, P. G. and Piliposian, G. T.: Radiometric Dating of Lake Sediment Cores from Flyginnsjøen and Vingersjøen, Southern Norway (provisional report), Environmental Radioactivity Research Centre, University of Liverpool, Liverpool, 2014. 
Baker, V. R.: Paleohydrology and sedimentology of lake missoula flooding in Eastern Washington, Special Paper of the Geological Society of America 144, Geological Society of America, Boulder, Colorado, 1–73, https://doi.org/10.1130/SPE144-p1, 1973. 
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Short summary
We combine systematic, historical, and paleo information to obtain flood information from the last 10 300 years for the Glomma River in Norway. We identify periods with increased flood activity (4000–2000 years ago and the recent 1000 years) that correspond broadly to periods with low summer temperatures and glacier growth. The design floods in Glomma were more than 20 % higher during the 18th century than today. We suggest that trends in flood variability are linked to snow in late spring.