A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2
As the most abundant greenhouse gas, atmospheric carbon dioxide (CO 2) is considered
one of the main attributors to climate change. Atmospheric CO 2 concentrations can be …
one of the main attributors to climate change. Atmospheric CO 2 concentrations can be …
Applications of machine learning in Chemical and Biological Oceanography
B Sadaiappan, P Balakrishnan, V CR, NT Vijayan… - ACS …, 2023 - ACS Publications
Machine learning (ML) refers to computer algorithms that predict a meaningful output or
categorize complex systems based on a large amount of data. ML is applied in various …
categorize complex systems based on a large amount of data. ML is applied in various …
A machine learning approach to estimate surface ocean pCO2 from satellite measurements
S Chen, C Hu, BB Barnes, R Wanninkhof… - Remote Sensing of …, 2019 - Elsevier
Surface seawater partial pressure of CO 2 (pCO 2) is a critical parameter in the
quantification of air-sea CO 2 flux, which further plays an important role in quantifying the …
quantification of air-sea CO 2 flux, which further plays an important role in quantifying the …
The Gulf of Mexico in trouble: Big data solutions to climate change science
The latest technological advancements in the development and production of sensors have
led to their increased usage in marine science, thus expanding data volume and rates within …
led to their increased usage in marine science, thus expanding data volume and rates within …
Estimating spatial and temporal variation in ocean surface pCO2 in the Gulf of Mexico using remote sensing and machine learning techniques
Research on the carbon cycle of coastal marine systems has been of wide concern recently.
Accurate knowledge of the temporal and spatial distributions of sea-surface partial pressure …
Accurate knowledge of the temporal and spatial distributions of sea-surface partial pressure …
Remote estimation of surface pCO2 on the West Florida Shelf
Surface pCO 2 data from the West Florida Shelf (WFS) have been collected during 25 cruise
surveys between 2003 and 2012. The data were scaled up using remote sensing …
surveys between 2003 and 2012. The data were scaled up using remote sensing …
Sea surface CO2 fugacity in the southwestern South Atlantic Ocean: An evaluation based on satellite-derived images
Abstract The South Atlantic Ocean is historically less sampled than the North Atlantic Ocean.
Recent efforts have improved our understanding of the carbonate system variable …
Recent efforts have improved our understanding of the carbonate system variable …
Sea-surface pCO2 maps for the Bay of Bengal based on advanced machine learning algorithms
AP Joshi, PK Ghoshal, K Chakraborty, V Sarma - Scientific Data, 2024 - nature.com
Lack of sufficient observations has been an impediment for understanding the spatial and
temporal variability of sea-surface p CO2 for the Bay of Bengal (BoB). The limited number of …
temporal variability of sea-surface p CO2 for the Bay of Bengal (BoB). The limited number of …
Modeling the sea-surface pCO2 of the central Bay of Bengal region using machine learning algorithms
The present study explores the capabilities of advanced machine learning algorithms in
predicting the sea-surface pCO 2 (partial pressure of carbon dioxide) in the open oceans of …
predicting the sea-surface pCO 2 (partial pressure of carbon dioxide) in the open oceans of …
A Multiparametric Nonlinear Regression Approach for the Estimation of Global Surface Ocean pCO2 Using Satellite Oceanographic Data
KV Krishna, P Shanmugam… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Estimation of the partial pressure of carbon dioxide (pCO 2) and its space-time variability in
global surface ocean waters is essential for understanding the carbon cycle and predicting …
global surface ocean waters is essential for understanding the carbon cycle and predicting …