GHCNpy: Using Python to Analyze and Visualize Daily ...

GHCNpy: Using Python to Analyze and Visualize Daily Weather Station Data in Near Real Time

Click to edit Master title stJyareled Rennie

Cooperative Institute for Climate and Satellites ? North Carolina Center for Weather and Climate, NCEI-Asheville, NC

Click to edit Master subtitle style Sam Lillo University of Oklahoma

Special Thanks Randy Olson ? Andrew Buddenburg ? CICS-NC Jim Biard ? CICS-NC HOMR Team ? NOAA/NCEI and ERT

Norman, OK

Python Symposium AMS Annual Meeting

January 12th, 2016

1

Overview

? Introduction ? Building the package ? Examples ? Next Steps ? Questions

Introduction Functions Examples

2

GHCN

? Global Historical Climatology Network

? Consolidated global dataset used to monitor and assess the state of the climate

? GHCN-Daily

? Integrated database of daily climate summaries

? Temperature, Precipitation, Snowfall, Other Synoptic Data

? 100,000 stations worldwide ? Subjected to a common suite of quality assurance ? Primary data set used to compute other supplementary

products at the National Centers for Environmental Information.

? 1981-2010 Normals ? Climate Divisional Dataset (nClimdiv) ? GHCN-Monthly

Introduction Functions Examples

3

Accessing GHCN-Daily

? NCEI FTP

? Text Files (one per station) or CSV files (one per year) ? Requires knowledge of format (through readme file) ? Multiple metadata / inventory files

? NCEI Online Portal

? Custom Text / CSV files ? Mapping Interface

? xmACIS2

? Custom Text / CSV files, Visualizations ? Includes more than GHCN-D ? US Data only ? "Only for NWS employees"

Introduction Functions Examples

4

GHCNpy

? Python package for downloading, analyzing and visualizing data from GHCN-Daily

? Requires no knowledge about formats or location of the data

? Open Source ? Free! ? On GitLab

?

Introduction Functions Examples

5

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