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Title:

On the potential of mapping sea level anomalies from satellite altimetry with Random Forest Regression

Document type:
Zeitschriftenaufsatz
Author(s):
Passaro M., Juhl M.-C.
Journal title:
Ocean Dynamics
Year:
2023
Journal volume:
73
Quarter:
1. Quartal
Month:
Feb
Journal issue:
2
Pages contribution:
107-116
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1007/s10236-023-01540-4
Publisher:
Springer Science and Business Media LLC
E-ISSN:
1616-73411616-7228
Date of publication:
01.02.2023
Semester:
WS 22-23
TUM Institution:
Deutsches Geodätisches Forschungsinstitut (DGFI-TUM)
CC license:
by, http://creativecommons.org/licenses/by/4.0
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