Analyzing Air Temperature using Jupyter Notebooks

Authors:
Anthony Michael Castronova
Owners: Anthony M. Castronova
  • Contributions
    Joined

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
Views: 1831
Downloads: 149
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

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

Subject Keywords

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°
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

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/
CC-BY-SA

Comments

There are currently no comments

New Comment

required