{"repo":"edrewitz/pyclimo","free":true,"listed":false,"github":"https://github.com/edrewitz/pyclimo","clone":"git clone https://github.com/edrewitz/pyclimo.git","description":"A Python library that downloads various types of climate data from PRISM Climate Group and NCAR-Reanalysis and performs various types of analyses on the data. This library also makes visualizations of the analyzed climate data.","language":"Python","stars":11,"topics":["climate","climate-analysis","climate-data","climate-science","climatology","data-visualization","reanalysis","python"],"license":"MIT","category":"analytics","readme_excerpt":"PyClimo An open source climate data analysis and visualization package. Anaconda Downloads: PIP Downloads: Table of Contents Documentation Jupyter Lab Examples Citations Jupyter Lab Examples 1) Winter 2024-2025 500 MB Geopotential Height Analysis A first time user setup with analyzing NCAR Reanalysis data for 500mb geopotential heights for DJF 2024-2025 (Winter 2024-2025). In this example we will create 5 graphics showing the following: i) Mean 500 MB Geopotential Height for the period ii) EOF1 (1st Principle Component/1st Empirical Orthogonal Function) for the period iii) EOF2 (2nd Principle Component/2nd Empirical Orthogonal Function) for the period iv) EOF1 Scores for the period v) EOF2 Scores for the period click here to view Example 1. Example 1 Graphics: 1) Mean 500mb Geopotential Height 2) EOF1 500mb Geopotential Height 3) EOF2 500mb Geopotential Height 4) EOF1 Scores 5) EOF2 Scores 2) Plotting the Daily Normal Maximum Temperature for July 4th In this example we will plot the daily normal for the maximum temperature for July 4th using the data from PRISM Climate Group. click here to view Example 2 click here to view the graphic created in Example 2. 3) Plotting the Monthly Normal Maximum Vapor Pressure Deficit for August using the Geographic Area Coordination Center/Predictive Services Areas Reference System In this example we will plot the monthly normal for the maximum vapor pressure Deficit for August using the 'GACC & PSA' reference system. This data is from PRISM ","default_branch":null,"files":null,"tree":[],"storefront":"/r/edrewitz","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/edrewitz/pyclimo/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}