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We also gratefully acknowledge the Google Cloud Research team for making an ARCO-friendly version of the ERA-5 available. Citations for their effort and the ERA-5 reanalysis are below:
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## Structure
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This cookbook currently consists of two notebooks that access, regrid, and visualize the ARCO ERA-5 repository.
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This cookbook currently consists of multiple notebooks that access, regrid, and visualize the ARCO ERA-5 repository. Additionally we cover a section on how to preprocess and create ARCO files.
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Additional notebooks will follow.
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### Section 1 ( "Basic Visualization" )
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This notebook reads in a sea-level pressure ERA-5 grid, regrids from Gaussian to Cartesian coordinates, and visualizes the data with Matplotlib and Cartopy.
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### Section 2 ( "Interactive Visualization 1" )
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### Section 2 ( "Interactive Visualization Part 1: `GeoViews`" )
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This notebook reads in sea-level pressure and 2-meter temperature ERA-5 grids, regrids as in the first notebook, and visualizes the data in an interactive manner using [Geoviews](https://geoviews.org).
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### Section 3 ("Interactive Visualization Part 2: `hvPlot`")
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This notebook reads in annual average 2-m temperature from RDA's Zarr store and visualizes the data using `hvPlot`. The notebook also demonstrates how to create a simple interactive plot that allows the user to select a specific year and visualize the 2-m and how to create animations.
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### Section 4 ("Creating an Interactive Dashboard with `Panel`")
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This notebook demonstrates how to create an interactive dashboard using `Panel` that allows the user to select a specific year and visualize the 2-m temperature.
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## Preprocessing Notebooks for NCAR RDA
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### Section 5 ( "Generate annual/yearly Zarr stores from hourly ERA5 NetCDF files on NCAR’s Research Data Archive")
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This notebook demonstrates how to preprocess hourly ERA5 NetCDF files from NCAR's Research Data Archive (RDA) and generate annual/yearly Zarr stores.
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### Section 6 ( "Calculate Temperature Anomalies")
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This notebook demonstrates how to calculate temperature anomalies from the annual 2-m temperature Zarr store generated in Section 5.
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## Running the Notebooks
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You can either run the notebook using [Binder](https://binder.projectpythia.org/) or on your local machine.
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