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Python tools to read and process oceanographic data related to upwelling filaments

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Filament-Submesoscale

Python tools to read and process oceanographic data related to upwelling filaments

Data sources

NAO

NCEP [downloaded July 5, 2019]

ESRL [downloaded July 5, 2019]

UCAR [downloaded July 5, 2019]

SST

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.html

Chlorophyll concentration

Ocean Color

Wind

CCMP

Argo

https://data.nodc.noaa.gov/argo/gadr/data/aoml/4900825/

  • 6900262
  • 6900610

Relevant publications

North Atlantic SST Anomalies and the Cold North European Weather Events of Winter 2009/10 and December 2010 https://journals.ametsoc.org/doi/full/10.1175/MWR-D-13-00104.1

Understanding the contrasting North Atlantic Oscillation anomalies of the winters of 2010 and 2014 https://agupubs.onlinelibrary.wiley.com/doi/10.1002/2015GL065493

Persistent Atmospheric and Oceanic Anomalies in the North Atlantic from Summer 2009 to Summer 2010 https://journals.ametsoc.org/doi/full/10.1175/2011JCLI4213.1

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Python tools to read and process oceanographic data related to upwelling filaments

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