The Synergy of Data From Profiling Floats, Machine Learning and Numerical Modeling: Case of the Black Sea Euphotic Zone-Reference-Cited by-同舟云学术

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The Synergy of Data From Profiling Floats, Machine Learning and Numerical Modeling: Case of the Black Sea Euphotic Zone

Published:2022-08 Issue:8 Volume:127 Page:
ISSN:2169-9275
Container-title:Journal of Geophysical Research: Oceans
language:en
Short-container-title:JGR Oceans

Author:

Stanev E. V.¹²³^ORCID,Wahle K.¹^ORCID,Staneva J.¹^ORCID

Affiliation:

1. Institute of Coastal Systems—Analysis and Modeling Helmholtz‐Zentrum Hereon Geesthacht Germany

2. Research Department University of Sofia “St. Kliment Ohridski” Sofia Bulgaria

3. Department of Meteorology and Geophysics University of Sofia “St. Kliment Ohridski” Sofia Bulgaria

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JC018012

Reference62 articles.

1. The surface colour field of enclosed marine basins: Pigment patterns of the black sea

2. Decline of the Black Sea oxygen inventory

3. Light Absorption by Phytoplankton in the Upper Mixed Layer of the Black Sea: Seasonality and Parametrization

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1. The impact of vertical mixing on the variability of salinity in the Black Sea pycnocline: Role of winter convection, vertical shear and mediterranean waters injections.;Deep Sea Research Part I: Oceanographic Research Papers;2024-06

2. Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model;Ocean Science;2024-05-27

3. New Observing and Modeling Systems and New Scientific Applications;Springer Oceanography;2023

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