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Analyzing Air Temperature using Jupyter Notebooks

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Type: Resource
Storage: The size of this resource is 2.4 MB
Created: Jul 24, 2020 at 4:29 p.m.
Last updated: Feb 22, 2021 at 5:29 p.m.
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Sharing Status: Public
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The purpose of this resource is to demonstrate how the CUAHSI JupyterHub platform can be used to perform basic hydrologic data analysis. Temperature data was collected from the NOAA Global Historical Climatology network for two sites in the greater Seattle area. These data are organized using Python classes, and plotted in various ways to demonstrate common data analysis steps.

For more information about the GHCN data included in this resource, see;

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Seattle, WA
North Latitude
East Longitude
South Latitude
West Longitude


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This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Test Collection, sharing CZnet Support Account  Private &  Shareable None

How to Cite

Castronova, A. M. (2021). Analyzing Air Temperature using Jupyter Notebooks, HydroShare,

This resource is shared under the Creative Commons Attribution-ShareAlike CC BY-SA.


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