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[GA6 Sample] Analyzing Air Temperature using Jupyter Notebooks

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Type:	Resource
Storage:	The size of this resource is 2.4 MB
Created:	Apr 14, 2025 at 7:32 p.m.
Last updated:	Apr 25, 2025 at 6:11 p.m.
Citation:	See how to cite this resource
Content types:	CSV Content

Sharing Status:	Public
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Abstract

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; https://docs.opendata.aws/noaa-ghcn-pds/readme.html

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

35.8557°

East Longitude

-80.0684°

South Latitude

32.7342°

West Longitude

-89.4287°

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README.md

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Related Resources

The content of this resource is derived from	http://www.hydroshare.org/resource/509f691cd8444127a03ba036d0ecd3e0
The content of this resource is derived from	Castronova, A. M. (2021). Analyzing Air Temperature using Jupyter Notebooks, HydroShare, http://www.hydroshare.org/resource/2881f7ac08a34e56906a7bd1593fc538, accessed on: 04/14/2025

How to Cite

Cogswell, C., A. M. Castronova (2025). [GA6 Sample] Analyzing Air Temperature using Jupyter Notebooks, HydroShare, http://www.hydroshare.org/resource/53aa0a63b14b407197b012d8eb4e5ec4

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

http://creativecommons.org/licenses/by-nc-sa/4.0/

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