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Multi-temporal variability forecast of particulate organic carbon in the Indonesian seas
#forecasting
#Python
#MachineLearning
#Oceanography
#IndonesianSeas
#POC
#biogeochemistry
@IMBeRgroup_RCO
link.springer.com/article/10.100…
#forecasting
#Python
#MachineLearning
#Oceanography
#IndonesianSeas
#POC
#biogeochemistry
@IMBeRgroup_RCO
link.springer.com/article/10.100…
This research aimed to forecast the temporal variability of POC in Indonesian waters.
POC forecasting is essential in predicting the productivity of Indonesian seas, for several reasons, namely, that it will affect marine productivity, the Indonesian seas are dynamic, and the existence of global threats to the ocean (climate change, ocean acidification, and d'Ox)
