A global monthly climatology of total alkalinity: a neural network approach
Broullón, Daniel, Pérez, Fiz F., Velo, Antón, Hoppema, Mario
ORCID: https://orcid.org/0000-0002-2326-619X, Olsen, Are, Takahashi, Taro, Key, Robert M., Tanhua, Toste, González-Dávila, Melchor, Jeansson, Emil, Kozyr, Alex and van Heuven, Steven M. A. C.
;

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Mario.Hoppema [ at ] awi.de
Abstract
Item Type
Article
Authors
Broullón, Daniel, Pérez, Fiz F., Velo, Antón, Hoppema, Mario
ORCID: https://orcid.org/0000-0002-2326-619X, Olsen, Are, Takahashi, Taro, Key, Robert M., Tanhua, Toste, González-Dávila, Melchor, Jeansson, Emil, Kozyr, Alex and van Heuven, Steven M. A. C.
;

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Primary Division
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Peer revision
ISI/Scopus peer-reviewed
Publication Status
Published
Eprint ID
49921
DOI
10.5194/essd-11-1109-2019
Cite as
Broullón, D.
,
Pérez, F. F.
,
Velo, A.
,
Hoppema, M.
,
Olsen, A.
,
Takahashi, T.
,
Key, R. M.
,
Tanhua, T.
,
González-Dávila, M.
,
Jeansson, E.
,
Kozyr, A.
and
van Heuven, S. M. A. C.
(2019):
A global monthly climatology of total alkalinity: a neural network approach
,
Earth System Science Data,
11
(3),
pp. 1109-1127
.
doi: 10.5194/essd-11-1109-2019
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