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Poster describing a workflow used to retrieve satellite data from the ERDDAP server employing the “rerddap” package and steps needed to visualize them.

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virginiagarciaalonso/useR_2022_sst

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Retrieving and visualizing satellite sea water temperature data for marine analyses: a case study using the rerddap R package

Repository with the scripts and materials employed to create the poster mentioned above and a screen reader friendly slide presentation to be presented at useR! 2022.

Here you can find the final files:

Posters were created employing the posterdown_betterport template from the posterdown package by Brent Thorne and slides presentations with the xarigan useR! theme for accesible presentations.

We strongly recommend checking this blog by Roy Mendelssohn and Scott Chamberlain on how to use rerddap to access data from ERDDAP servers from which we based our methodology to retrieve sea temperature data.

But, what is ERDDAP? As it is described in the rerddap repository, ERDDAP is a server built on top of OPenDAP, which serves some NOAA data. You can get gridded data (griddap), which lets you query from gridded datasets, or table data (tabledap) which lets you query from tabular datasets.

In this poster we used the jplMURSST41 gridded data set which is a Multiscale Ultrahigh Resolution (MUR) L4 analysis of a Group for High Resolution Sea Surface Temperature (GHRSST) sea surface temperature analysis produced at the JPL Physical Oceanography DAAC (PODAAC) in an optimal interpolation approach on a global 0.01 degree grid with temperature expressed in Celsius degrees (ºC). More information can be found at the podaac dataset website

In case you want to visualize other ERDDAP data sets you can check this page

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Poster describing a workflow used to retrieve satellite data from the ERDDAP server employing the “rerddap” package and steps needed to visualize them.

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