Corpus ID: 219559280

A functional-data approach to the Argo data

  title={A functional-data approach to the Argo data},
  author={Drew Yarger and Stilian A. Stoev and Tailen Hsing},
  journal={arXiv: Applications},
The Argo data is a modern oceanography dataset that provides unprecedented global coverage of temperature and salinity measurements in the upper 2,000 meters of depth of the ocean. We study the Argo data from the perspective of functional data analysis (FDA). We develop spatio-temporal functional kriging methodology for mean and covariance estimation to predict temperature and salinity at a fixed location as a smooth function of depth. By combining tools from FDA and spatial statistics… Expand
Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach
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The 2004-2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program
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135 years of global ocean warming between the Challenger expedition and the Argo Programme
Changing temperature throughout the oceans is a key indicator of climate change. Since the 1960s about 90% of the excess heat added to the Earth’s climate system has been stored in the oceans1, 2.Expand
A Functional Data Analysis of Spatiotemporal Trends and Variation in Fine Particulate Matter.
The application of modern functional data analysis methods to study the spatiotemporal variability of particulate matter components across the United States and reveals new trends in the change of the pollutants across seasons and years that may not be as easily determined from other common approaches such as Kriging. Expand
Estimating Global Ocean Heat Content Changes in the Upper 1800 m since 1950 and the Influence of Climatology Choice
AbstractOcean heat content anomalies are analyzed from 1950 to 2011 in five distinct depth layers (0–100, 100–300, 300–700, 700–900, and 900–1800 m). These layers correspond to historic increases inExpand