Database of Anomalies in the Caribbean Sea (geochemical parameters): DACS-CHEM
| Date | 2022-02-23 | ||||||||||||||||||||
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| Author(s) | Carlos Noriega 1, 2, 3, Humberto L. Varona1, 2, Moacyr Araujo1, 2, 3, Amilcar E. Calzada4, Carlos A. D. Lentini5, Dayanis M. Borges6, Reinaldo Casals4, Alejandro Rodriguez4 |
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| Affiliation(s) | 1 : Laboratory of Physical, Coastal and Estuarine Oceanography (LOFEC). Department of Oceanography (DOCEAN). Center for Technology and Geosciences (GTG). Federal University of Pernambuco. Recife-PE. Brazil 2 : Center for Risk Analysis, Reliability Engineering and Environmental Modeling (CEERMA). Federal University of Pernambuco. Recife-PE. Brazil 3 : Brazilian Research network on Global Climate Change (Rede CLIMA), São José dos Campos, SP, Brazil 4 : Marine Meteorology Center (CMM). National Institute of Meteorology (INSMET). La Habana. Cuba 5 : Earth and Environment Physics Department. Federal University of Bahia. Salvador, Bahia, Brasil 6 : Ocean and Atmosphere Studies Laboratory (LOA). National Institute for Space Research (INPE). Ave dos Astronautas 1758 São José dos Campos - SP. Brazil |
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| DOI | 10.17882/86636 | ||||||||||||||||||||
| Publisher | SEANOE | ||||||||||||||||||||
| Keyword(s) | Particulate organic carbon, Total chlorophyll a concentration, Partial pressure of CO2, Downward flux of total CO2, pH, Anomaly, Caribbean Sea | ||||||||||||||||||||
| Abstract | Monthly anomalies of geochemical parameters in the Caribbean Sea calculated from the MULTIOBS_GLO_BIO_BGC_3D_REP_015_010 and MULTIOBS_GLO_BIO_CARBON_SURFACE_REP_015_008 datasets. These anomalies are very useful for chemical oceanographers and marine biologists who need to analyze data and trends in tropical regions to analyze variations in nutrient and chlorophyll concentrations, behavior of changes in primary productivity, and trends in acidification of the oceans. oceans. |
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| Licence |  |
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| Acknowledgements | We wish to express our thanks to the TRIATLAS project (Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management), to Tropical Atlantic Interdisciplinary Laboratory on physical, biogeochemical, ecological and human dynamics (IJL TAPIOCA) and the Brazilian Research Network on Global Climate Change (Rede CLIMA). | ||||||||||||||||||||
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