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cse_functions_attributes.py
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cse_functions_attributes.py
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# -*- coding: utf-8 -*-
"""
Created on Wed Mar 2 09:45:54 2022
@author: werning
"""
from datetime import datetime
netcdf4_format = 'NETCDF4_CLASSIC'
def cust_attrs_sdd(GCM, RCP, threshold, years, t_bal_cooling, t_bal_heating, protocol):
return {'title': 'Simple Degree Days for heating and cooling: Post-processed ISIMIP GCM data',
'file created by': 'M. Werning, E. Byers & A. Mastrucci',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'GCM': GCM,
'scenario': RCP,
'warming': str(threshold),
'unit': 'degree days',
'set-point temperature (cooling, heating)': f'{t_bal_cooling}, {t_bal_heating}',
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_pr(GCM, RCP, threshold, years, protocol):
return {'title': 'Precipitation: Post-processed ISIMIP GCM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'GCM': GCM,
'scenario': RCP,
'warming': str(threshold),
'unit': 'r10 & r20: days, r95p & r99p: days, sdii: mm day-1',
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_cdd(GCM, RCP, threshold, years, protocol):
return {'title': 'Consecutive dry days: Post-processed ISIMIP GCM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'GCM': GCM,
'scenario': RCP,
'warming': str(threshold),
'unit': 'days',
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_tr20(GCM, RCP, threshold, years, protocol):
return {'title': 'Tropical nights: Post-processed ISIMIP GCM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'GCM': GCM,
'scenario': RCP,
'warming': str(threshold),
'unit': 'days',
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_di(GHM, GCM, RCP, SOC, threshold, years, input_var, protocol):
return {'title': 'Drought intensity, drought duration & cumulative drought deficit volume : Post-processed ISIMIP GHM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'input data': input_var,
'GHM': GHM,
'GCM': GCM,
'scenario': RCP,
'social forcing': SOC,
'warming': str(threshold),
'unit': 'm3 s-1 day-1, day & m3 s-1',
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_twb(GCM, RCP, threshold, years, protocol):
return {'title': 'Wet bulb temperature: Post-processed ISIMIP GCM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'GCM': GCM,
'scenario': RCP,
'warming': str(threshold),
'unit': 'degrees Celsius',
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_twb_qnts(GCM, RCP, threshold, years, protocol, quantiles):
return {'title': 'Wet bulb temperature quantiles: Post-processed ISIMIP GCM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'GCM': GCM,
'scenario': RCP,
'warming': str(threshold),
'quantiles:': str(quantiles),
'unit': 'degrees Celsius',
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_heatwave(GCM, RCP, threshold, years, protocol, dt, quantiles):
return {'title': 'Quantiles and frequency of wet-bulb temperature heatwave events: Post-processed ISIMIP GCM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'GCM': GCM,
'scenario': RCP,
'warming': str(threshold),
'no of days': str(dt),
'quantiles:': str(quantiles),
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_seasonality(GHM, GCM, RCP, SOC, input_var, threshold, years, protocol):
return {'title': 'Seasonality: Post-processed ISIMIP GHM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'input data': input_var,
'GHM': GHM,
'GCM': GCM,
'scenario': RCP,
'social forcing': SOC,
'warming': str(threshold),
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_iavar(GHM, GCM, RCP, SOC, input_var, threshold, years, protocol):
return {'title': 'Inter-annual variability: Post-processed ISIMIP GHM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'input data': input_var,
'GHM': GHM,
'GCM': GCM,
'scenario': RCP,
'social forcing': SOC,
'warming': str(threshold),
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_wsi(GHM, GCM, RCP, SOC, input_var, threshold, years, protocol):
return {'title': 'Water stress index: Post-processed ISIMIP GHM data',
'file created by': 'M. Werning, Y. Satoh & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'input data': f'{input_var} created with script by Y. Satoh',
'GHM': GHM,
'GCM': GCM,
'scenario': RCP,
'social forcing': SOC,
'warming': str(threshold),
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_monthly_mean(GHM, GCM, RCP, SOC, input_var, threshold, years, protocol):
return {'title': 'Monthly mean: Post-processed ISIMIP GHM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'input data': input_var,
'GHM': GHM,
'GCM': GCM,
'scenario': RCP,
'social forcing': SOC,
'warming': str(threshold),
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_monthly_mean_pr(GCM, RCP, input_var, threshold, years, protocol):
return {'title': 'Monthly mean: Post-processed ISIMIP GHM data',
'file created by': 'M. Werning & E. Byers',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'input data': input_var,
'GCM': GCM,
'scenario': RCP,
'warming': str(threshold),
'years': f'{years[0]}-{years[1]}',
'netCDF format': netcdf4_format,
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_mm(thresholds, protocol, variable, SOC=''):
if SOC:
return {'title': 'Multi-model statistics (min, mean, median, max, stdev, rel stdev): Post-processed ISI-MIP GHM data',
'file created by': 'M. Werning, E.Byers & colleagues',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'indicator': variable,
'social forcing': str(SOC),
'warming': str(thresholds),
'netCDF format': str(netcdf4_format),
'software': 'File written using Python xarray'
}
else:
return {'title': 'Multi-model statistics (min, mean, median, max, stdev, rel stdev): Post-processed ISI-MIP GHM data',
'file created by': 'M. Werning, E.Byers & colleagues',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'indicator': variable,
'warming': str(thresholds),
'netCDF format': str(netcdf4_format),
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_mm_esm(thresholds, variable, protocol, ftype):
return {'title': f'Multi-model statistics (min, mean, median, max, stdev, rel stdev) - {ftype}: Post-processed ISI-MIP GHM data',
'file created by': 'M. Werning, E.Byers & colleagues',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'indicator': variable,
'warming': str(thresholds),
'netCDF format': str(netcdf4_format),
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_diff(thresholds, protocol, variable, stats, SOC=''):
if SOC:
return {'title': 'Difference between historical and future scenarios: Post-processed ISI-MIP GHM data',
'file created by': 'M. Werning, E.Byers & colleagues',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'indicator': variable,
'statistics': str(stats),
'social forcing': SOC,
'warming': str(thresholds),
'netCDF format': str(netcdf4_format),
'software': 'File written using Python xarray'
}
else:
return {'title': 'Difference between historical and future scenarios: Post-processed ISI-MIP GHM data',
'file created by': 'M. Werning, E.Byers & colleagues',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'indicator': variable,
'statistics': str(stats),
'warming': str(thresholds),
'netCDF format': str(netcdf4_format),
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_interp(thresholds, interp_thresholds, interp_int, protocol, variable, stats, SOC=''):
return {'title': 'Interpolated indicator data: Post-processed ISI-MIP GHM data',
'file created by': 'M. Werning, E.Byers & colleagues',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'indicator': variable,
'statistics': str(stats),
'warming': str(thresholds),
'interpolation interval': str(interp_int),
'interpolated warming': str(interp_thresholds),
'netCDF format': str(netcdf4_format),
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def cust_attrs_scores(thresholds, protocol, variable, stats, SOC=''):
if SOC:
return {'title': 'Risk scores for future scenarios: Post-processed ISI-MIP GHM data',
'file created by': 'M. Werning, E.Byers & colleagues',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'indicator': variable,
'statistics': str(stats),
'social forcing': SOC,
'warming': str(thresholds),
'netCDF format': str(netcdf4_format),
'software': 'File written using Python xarray'
}
else:
return {'title': 'Risk scores for future scenarios: Post-processed ISI-MIP GHM data',
'file created by': 'M. Werning, E.Byers & colleagues',
'contact': '[email protected]',
'institution': 'IIASA',
'date': str(datetime.now()),
'original source': f'ISIMIP{protocol} GCM data see www.isimip.org',
'indicator': variable,
'statistics': str(stats),
'warming': str(thresholds),
'netCDF format': str(netcdf4_format),
'software': 'File written using Python xarray'
}
#------------------------------------------------------------------------------
def split_ind_attrs(ind, var, var_name, ssp, params, types, t, threshold, q='', d=''):
if q and d:
return {
'authors': 'M. Werning, E. Byers & colleagues',
'institution': 'IIASA',
'contact': '[email protected]',
'long_name': f'{params["indicators"][ind][var]["long_name"]}',
'short_name': f'{params["indicators"][ind][var]["short_name"]}_{int(q*100)}_{d}',
'description': f'{params["indicators"][ind][var]["long_name"]} {types[t]["desc"]}',
'percentile': q,
'threshold (days)': d,
'scen': f'{str(threshold)}°C',
'scenario': f'{ssp}_{(str(threshold).replace(".", "p"))}',
'model': 'climate-solutions',
'layerid': f'{var_name}_{types[t]["short"]}',
'variable': f'{var_name}|{types[t]["short"]}',
}
else:
return {
'authors': 'M. Werning, E. Byers & colleagues',
'institution': 'IIASA',
'contact': '[email protected]',
'long_name': f'{params["indicators"][ind][var]["long_name"]}',
'short_name': f'{params["indicators"][ind][var]["short_name"]}',
'description': f'{params["indicators"][ind][var]["long_name"]} {types[t]["desc"]}',
'scen': f'{str(threshold)}°C',
'scenario': f'{ssp}_{(str(threshold).replace(".", "p"))}',
'model': 'climate-solutions',
'layerid': f'{var_name}_{types[t]["short"]}',
'variable': f'{var_name}|{types[t]["short"]}',
}
#------------------------------------------------------------------------------
def amend_esm_attributes(attributes, var_desc, ftype):
attrs = attributes.copy()
attrs['date'] = str(datetime.now())
if ftype == 'abs':
attrs['title'] = var_desc + ':' + f'{attrs["title"]} - absolute values'.split(':')[1]
elif ftype == 'diff':
attrs['title'] = f'{attrs["title"]} - difference'
attrs['unit'] = '%'
else:
attrs['title'] = f'{attrs["title"]} - scores'
attrs['unit'] = '-'
return attrs