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NBM AWS Python - Interactive Viewer

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NAP-IV

NBM AWS Python - Interactive Viewer

This jupyter-notebook-based interactive viewer interfaces with the NOAA NBM (National Blend of Models) AWS S3 Bucket to visualize any of the available variables.

Before running, you will need to add a "./data" folder for collecting data.

NBM data can be perused here: https://registry.opendata.aws/noaa-nbm/

In the interactive viewer, users can

  1. select the variable they would like to display,
  2. select a different the colorscale,
  3. adjust the max, min, and number of contours on the colorscale,
  4. scale the map by lat-lon coordinates,
  5. and select which forecast hour to display.

In code, users can

  • add different map layers,
  • pull archived dates from the AWS bucket,
  • pull NBM QMD grib data,
  • pull other AWS grib data,
  • change map projections,
  • and alter units of variables before plotting.

Users will need to add their credentials to the AWS CLI to use the AWS downloading with boto3.

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NBM AWS Python - Interactive Viewer


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