Central GIT repository for CC in estuaries project 1 - prioritizing cc based on variability shifts
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tinoheimhuber b2dd285534 #First successfull recreation of the existing method
after first meeting with Alejandro di Luca. We
are not comparing present day variability with
near and far future ensemble model deltas (changes
in 20-year average climate). These changes are added
to the present day median climate for the plots.
7 years ago
Analysis/Code #First successfull recreation of the existing method 7 years ago
.gitignore #proper gitignore file and updated linux bash script 7 years ago
README.md.txt #Just committing the principal readme file 7 years ago
gitignore.txt.txt #gitignore file add 7 years ago

README.md.txt

This project is aimed at prioritizing climate change impact in NSW estuaries using the NARCLIM climate projection data set and python coding. 

It has .py routines to:

a) extract NARCLIM data for single point locations and variables into a CSV file with 1 column per ensemble member (individual model run)
This is done directly on the CCRC storm servers where the data is stored and the CSV files are stored in a new folder in the working 
directory on the server
b) plot the data and perform the statistical analysis. 
c)...

Requirements: at this stage mainly basic packages such as pandas, netcdf4, basemap, matplotlib...