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Author SHA1 Message Date
tinoheimhuber d56262cd14 #a new srcipt for silo and backup for the other paper#1 codes
Valentin Heimhuber 42ab0af07a #cleaned out the code and separated big functions from the analysis code 
the functions are in climdata_fcts.py
Valentin Heimhuber 1154e4eb1c #added a few additions to the NARCLIM NC code and added an R code for 
generating BASH code for automating the download
for a number of sites and clim_vars
Valentin Heimhuber 2c102d4594 #added a couple of function input parameters 
and the ability to create bias corrected data csv files
as well as NNRP for both bias corrected and normal
tinoheimhuber adad360de9 #incorporated the option for a stats type such as daily max per year or season 
#also fixed a bug with the server script
tinoheimhuber d907d640f8 #This commit comprises a major update to the 
NARCLIM interrogation set of scripts.
#Many of the plots have been updated to
to be used in the OEH technical guide.
#Several improvements have been made.
tinoheimhuber 8a771b65b6 #fully working set of codes for generating the NARCLIM 
Delta CSVs to then generate the climate deviation plots
by combining with observational time seris
tinoheimhuber b2fc7135d9 #next step for NACRLIM cc deviation plots
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.
tinoheimhuber fd19552a5f #refined the NARCLIM plotting
tinoheimhuber bbec9f1891 #started with more sophisticated NARCLIM plots
tinoheimhuber 3ca11831d8 #proper gitignore file and updated linux bash script 
for NARCLIM interrogation
tinoheimhuber 287e9e1067 #gitignore file add
tinoheimhuber 0d80414454 #Just committing the principal readme file
tinoheimhuber 4bd8d40c6d #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) 
b) code for creating some variability shift plots from the CSV files
which is done locally