Assessing trends and uncertainties in satellite-era ocean chlorophyll using space-time modeling
Author:
Affiliation:
1. Ocean and Earth Science; University of Southampton; Southampton UK
2. Mathematical Sciences; University of Southampton; Southampton UK
3. National Oceanography Centre; Southampton UK
Funder
Marie Curie FP7 Reintegration Grants within the Seventh European Community Framework
Publisher
American Geophysical Union (AGU)
Subject
Atmospheric Science,General Environmental Science,Environmental Chemistry,Global and Planetary Change
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016GB005600/fullpdf
Reference51 articles.
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3. Gaussian predictive process models for large spatial data sets;Banerjee;J. R. Stat. Soc. Ser. B,2008
4. Factors challenging our ability to detect long-term trends in ocean chlorophyll;Beaulieu;Biogeosciences,2013
5. Climate-driven trends in contemporary ocean productivity;Behrenfeld;Nature,2006
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