valentinh
/
CC_Est_NARC
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity
Central GIT repository for CC in estuaries project 1 - prioritizing cc based on variability shifts
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
3 Commits
2 Branches
0 Tags
756 KiB
Python 100%
 
Development1
master
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'master'
${ noResults }
Go to file
tinoheimhuber 287e9e1067 #gitignore file add 7 years ago
Analysis/Code #principal python codes for a) NARCLIM interrogation on CCRC STORM servers (Linux) where we go from netcdf to a csv file for single locations. and b) 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...