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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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ASSESSING THE CHLOROPHYLL-A VARIABILITY IN THE GULF OF GUINEA USING REMOTE SENSING DATA.

Authors: Maman Nouri Souley, Souleymane;

ASSESSING THE CHLOROPHYLL-A VARIABILITY IN THE GULF OF GUINEA USING REMOTE SENSING DATA.

Abstract

Introduction The report begins by highlighting the importance of oceans in influencing the Earth’s climate and supporting marine life. It focuses on phytoplankton, which are crucial for the marine food web and global carbon cycle. The study aims to evaluate the variability of chlorophyll-a (Chl-a) and sea surface temperature (SST) in the Gulf of Guinea using satellite remote sensing data. Materials and Methods Study Site: The Gulf of Guinea, located on the eastern edge of the Atlantic Ocean, bordered by several West African countries. Data: Monthly Chl-a and SST data from the Aqua-MODIS satellite, covering the period from 2020 to 2022. Methods: Analysis of satellite images using Python programming to evaluate spatiotemporal variability and conduct time series analysis. Results and Discussion Chlorophyll-a Variability: The study found significant spatial and temporal variability in Chl-a concentrations, with higher values near the coastline due to nutrient inputs from rivers and coastal upwelling. Sea Surface Temperature Variability: SST showed relatively uniform spatial distribution but notable seasonal and interannual variability, influenced by climatic phenomena like the West African Monsoon. Interannual and Monthly Climatology Variability: The report discusses the seasonal patterns and the influence of environmental factors on Chl-a and SST. Conclusion The study concludes that Chl-a concentrations are higher near the coast due to nutrient inputs and coastal upwelling, while SST shows a consistent seasonal cycle. These findings provide insights into the dynamic nature of marine productivity in the Gulf of Guinea and the influence of environmental factors on phytoplankton biomass.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average