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Distance-dependent depth-duration analysis in high-resolution hydro-meteorological ensemble forecasting: A case study in Malmo City, Sweden
SMHI, Research Department, Hydrology.ORCID iD: 0000-0002-1986-8374
SMHI, Research Department, Hydrology.ORCID iD: 0000-0002-4563-2752
SMHI, Research Department, Meteorology.ORCID iD: 0000-0001-8756-0331
SMHI, Research Department, Hydrology.ORCID iD: 0000-0002-3416-317X
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2017 (English)In: Environmental Modelling & Software, ISSN 1364-8152, E-ISSN 1873-6726, Vol. 93, p. 381-397Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2017. Vol. 93, p. 381-397
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Oceanography, Hydrology and Water Resources
Research subject
Hydrology
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URN: urn:nbn:se:smhi:diva-4135DOI: 10.1016/j.envsoft.2017.03.025ISI: 000403512500026OAI: oai:DiVA.org:smhi-4135DiVA, id: diva2:1129968
Available from: 2017-08-08 Created: 2017-08-08 Last updated: 2018-01-13Bibliographically approved

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Olsson, JonasPers, CharlottaBengtsson, LisaPechlivanidis, IliasKörnich, Heiner

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