Hybrid machine learning data assimilation  for marine biogeochemistry

Higgs, Ieuan; Bannister, Ross; Skákala, Jozef; Carrassi, Alberto; Ciavatta, Stefano

doi:10.5194/bg-23-315-2026

Articles | Volume 23, issue 1

https://doi.org/10.5194/bg-23-315-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-23-315-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 1

Research article

|

12 Jan 2026

Research article |

| 12 Jan 2026

Hybrid machine learning data assimilation for marine biogeochemistry

Ieuan Higgs, Ross Bannister, Jozef Skákala, Alberto Carrassi, and Stefano Ciavatta

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 2,552 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,966	547	39	2,552	20	34

HTML: 1,966
PDF: 547
XML: 39
Total: 2,552
BibTeX: 20
EndNote: 34

Views and downloads (calculated since 25 Apr 2025)

Month	HTML	PDF	XML	Total
Apr 2025	41	0	41
May 2025	44	0	44
Jun 2025	30	1	31
Jul 2025	34	1	35
Aug 2025	103	2	105
Sep 2025	380	0	380
Oct 2025	33	0	33
Nov 2025	36	0	36
Dec 2025	45	0	45
Jan 2026	403	138	11	552
Feb 2026	380	140	7	527
Mar 2026	182	105	6	293
Apr 2026	255	164	11	430
May 2026	0

Cumulative views and downloads (calculated since 25 Apr 2025)

Month	HTML	PDF	XML	Total
Apr 2025	41	0	41
May 2025	44	0	44
Jun 2025	30	1	31
Jul 2025	34	1	35
Aug 2025	103	2	105
Sep 2025	380	0	380
Oct 2025	33	0	33
Nov 2025	36	0	36
Dec 2025	45	0	45
Jan 2026	403	138	11	552
Feb 2026	380	140	7	527
Mar 2026	182	105	6	293
Apr 2026	255	164	11	430
May 2026	0

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 2,552 (including HTML, PDF, and XML) Thereof 2,552 with geography defined and 0 with unknown origin.

Country	#	Views	%

1

1

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Latest update: 02 May 2026

Short summary

We explored how machine learning can improve computer models that simulate ocean ecosystems. These models help us understand how the ocean works, but they often struggle due to limited observations and complex processes. Our approach uses machine learning to better connect the parts of the system we can observe with those we cannot. This leads to more accurate and efficient predictions, offering a promising way to improve future ocean monitoring and forecasting tools.