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Assessing robustness in global hydrological predictions by comparing modelling and Earth observations
SMHI, Research Department, Hydrology.ORCID iD: 0000-0001-6990-4874
SMHI, Research Department, Hydrology.ORCID iD: 0000-0001-5776-6275
SMHI, Research Department, Hydrology.ORCID iD: 0000-0001-5269-7549
SMHI, Research Department, Hydrology.ORCID iD: 0000-0001-8314-0735
2023 (English)In: Hydrological Sciences Journal, ISSN 0262-6667, E-ISSN 2150-3435Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2023.
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
URN: urn:nbn:se:smhi:diva-6532DOI: 10.1080/02626667.2023.2267544ISI: 001097765300001OAI: oai:DiVA.org:smhi-6532DiVA, id: diva2:1817159
Available from: 2023-12-05 Created: 2023-12-05 Last updated: 2023-12-05Bibliographically approved

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Assessing robustness in global hydrological predictions by comparing modelling and Earth observations(9788 kB)16 downloads
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26e6132e55457e84b032f455e8c1a2dfce2427ee055e7fb5cff3fd4a6a89b9dd911a112a5d34fa79ad5672b891c43550b50bbb1d3629dc0734ee7d4bc75f5419
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Pimentel, RafaelCrochemore, LouiseAndersson, JafetArheimer, Berit

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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