argo data 1gaussian processes 1ocean heat content 1spatio-temporal modeling 1uncertainty quantification 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.AP2026
Improved Global Ocean Heat Content Estimation by Modeling Vertical Spatio-Temporal Dependence
Thea Sukianto, Donata Giglio, Mikael Kuusela
The paper introduces a method that jointly models two ocean pressure layers using bivariate locally stationary Gaussian processes to improve global ocean heat content estimates and…
stat.AP2026
Locally stationary Argo ocean heat content estimates: Modeling, validation and uncertainty quantification
Thea Sukianto, Mikael Kuusela, Donata Giglio +3
Argo profiling floats measure seawater temperature and salinity in the upper 2000 meters of the ocean. These floats are uniquely capable of measuring the global Ocean Heat Content…