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Analyzing Air Temperature using Jupyter Notebooks

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Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
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.
Citation:	See how to cite this resource

Sharing Status:	Public
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Downloads:	123
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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

Place/Area Name:

Seattle, WA

North Latitude

48.1503°

East Longitude

-121.8257°

South Latitude

47.0466°

West Longitude

-123.4846°

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Related Resources

The content of this resource is derived from

http://www.hydroshare.org/resource/509f691cd8444127a03ba036d0ecd3e0

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, http://www.hydroshare.org/resource/2881f7ac08a34e56906a7bd1593fc538

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

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

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