GitHub - whigg/sst_pot_pred_aus: back up of the scripts used for the project 'potential predictability of SSTs around Australia' (2017-2019)

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
AR1		AR1
AR_PotPred		AR_PotPred
CMIP5		CMIP5
DPS		DPS
PotPred_paper		PotPred_paper
cdo_tool		cdo_tool
libraries		libraries
.gitignore		.gitignore
NumDays_enso_ssta.py		NumDays_enso_ssta.py
NumDays_enso_ssta_filter.py		NumDays_enso_ssta_filter.py
NumDays_enso_ssta_significance.py		NumDays_enso_ssta_significance.py
calc_timeS_pdfs_filter.py		calc_timeS_pdfs_filter.py
check_res_HadISST3.py		check_res_HadISST3.py
compare_data.py		compare_data.py
concatanate-files.py		concatanate-files.py
do_EACIndex.py		do_EACIndex.py
do_clim_oisstv2_hadisst.py		do_clim_oisstv2_hadisst.py
do_filter_noaaoisst.py		do_filter_noaaoisst.py
do_ssta_NovJan_19611990.py		do_ssta_NovJan_19611990.py
do_ssta_filter.py		do_ssta_filter.py
extract_region_sst_timeseries.py		extract_region_sst_timeseries.py
gendata_map_X.py		gendata_map_X.py
gendata_map_ensoYr.py		gendata_map_ensoYr.py
gendata_map_ensoYr_SSTa.py		gendata_map_ensoYr_SSTa.py
gendata_map_ensoYr_SSTa_significance.py		gendata_map_ensoYr_SSTa_significance.py
gendata_map_ensoYr_diff_filter.py		gendata_map_ensoYr_diff_filter.py
import_opendap.py		import_opendap.py
mhw_timeseries.py		mhw_timeseries.py
plot_map_NumDays_enso.py		plot_map_NumDays_enso.py
plot_map_ThetaDiff_enso.py		plot_map_ThetaDiff_enso.py
plot_mhw_stats.py		plot_mhw_stats.py
plot_std.py		plot_std.py
plot_tmp.py		plot_tmp.py
quick_timeseries.py		quick_timeseries.py
read_hadisst.py		read_hadisst.py
read_sst_noaa.py		read_sst_noaa.py
readme.txt		readme.txt
save_percentile.py		save_percentile.py
testing_detrend.py		testing_detrend.py
timeS_sst.py		timeS_sst.py
ts_ana_pdfs.py		ts_ana_pdfs.py

Repository files navigation

scripts used during my work on potential predictability
of SSTa around Australia (2017-2019; IMAS-UTAS)

mostly using python

Short description of the scripts per folder

AR_PotPred: potential predictability scripts

libraries: where useful function are, that I created or got from someone
           else, please see the acknowledgement at the start of the scripts