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A Novel Machine Learning Based Bias Correction Method and Its Application to Sea Level in an Ensemble of Downscaled Climate Projections
Hieronymus, Magnus
SMHI, Research Department, Oceanography.
Hieronymus, Fredrik
2023 (English)
In:
Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 75, no 1, p. 129-144
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2023. Vol. 75, no 1, p. 129-144
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
URN:
urn:nbn:se:smhi:diva-6418
DOI:
10.16993/tellusa.3216
ISI:
000937130700001
OAI: oai:DiVA.org:smhi-6418
DiVA, id:
diva2:1745107
Available from:
2023-03-22
Created:
2023-03-22
Last updated:
2023-03-22
Bibliographically approved
Open Access in DiVA
A Novel Machine Learning Based Bias Correction Method and Its Application to Sea Level in an Ensemble of Downscaled Climate Projections
(7838 kB)
100 downloads
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http://smhi.diva-portal.org/smash/record.jsf?pid=diva2:1745107
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modern-language-association-8th-edition
vancouver
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ieee
modern-language-association-8th-edition
vancouver
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