def __init__(self, data_source, var, start_time, end_time, lon1, lon2, lat1, lat2, pres1, pres2, months,
env_var_source1, env_var1, bin_min1, bin_max1, bin_n1, env_var_plev1,
env_var_source2, env_var2, bin_min2, bin_max2, bin_n2, env_var_plev2, output_dir, displayOpt):
self.data_source = data_source # for e.g. "NCAR_cam5" or "nasa_airs", etc
self.var = var # CMIP5 variable names, e.g. 'ta', 'hus', 'clt'
self.lon1 = lon1 # longitude range, min, units = deg
self.lon2 = lon2 # longitude range, max, units = deg
self.lat1 = lat1 # latitude range, min, units = deg
self.lat2 = lat2 # latitude range, max, units = deg
self.pres1 = pres1 # pressure level 1 for pressure range
self.pres2 = pres2 # pressure level 2 for pressure range
self.months = months # month index to specify season, e.g. 6,7,8 for boreal summer
self.env_var_source1 = env_var_source1 # first large scale environmental variable data source, e.g. "NCAR_cam5"
self.env_var1 = env_var1 # first large scale environmental variable CMIP5 name, e.g. 'ts', 'tos'
self.bin_min1 = bin_min1 # min value of bin boundary for sorting first large scale env var
self.bin_max1 = bin_max1 # max value of bin boundary for sorting first large scale env var
self.bin_n1 = bin_n1 # number of bins to be used for the first large scale variable
self.env_var_plev1 = env_var_plev1 # pressure level for env var if it is 3-d
self.env_var_source2 = env_var_source2 # first large scale environmental variable data source, e.g. "NCAR_cam5"
self.env_var2 = env_var2 # first large scale environmental variable CMIP5 name, e.g. 'ts', 'tos'
self.bin_min2 = bin_min2 # min value of bin boundary for sorting first large scale env var
self.bin_max2 = bin_max2 # max value of bin boundary for sorting first large scale env var
self.bin_n2 = bin_n2 # number of bins to be used for the first large scale variable
self.env_var_plev2 = env_var_plev2 # pressure level for env var if it is 3-d
self.output_dir = output_dir # output directory for figure and data file
self.displayOpt = displayOpt # display option, if in binary, the last 3 bits = [z y x]
availableTimeBnds1 = correctTimeBounds2('2', data_source.replace("_", "/"), var, env_var_source1.replace("_", "/"), env_var1, start_time, end_time)
availableTimeBnds2 = correctTimeBounds2('2', data_source.replace("_", "/"), var, env_var_source2.replace("_", "/"), env_var2, start_time, end_time)
self.start_time = str(max(int(availableTimeBnds1[0]), int(availableTimeBnds2[0])));
self.end_time = str(min(int(availableTimeBnds1[1]), int(availableTimeBnds2[1])));
def __init__(self,
model1, var1, pres1,
model2, var2, pres2,
laggedTime, start_time, end_time, lonS, lonE, latS, latE,
#months,
output_dir):
self.model1 = model1
self.var1 = var1
self.pres1 = pres1
self.model2 = model2
self.var2 = var2
self.pres2 = pres2
self.laggedTime = laggedTime
self.start_time = start_time
self.end_time = end_time
self.lon1 = lonS
self.lon2 = lonE
self.lat1 = latS
self.lat2 = latE
#self.months = months
self.output_dir = output_dir
availableTimeBnds = correctTimeBounds2('2',
model1.replace("_", "/"), var1, model2.replace("_", "/"),
var2, start_time, end_time)
self.start_time = availableTimeBnds[0]
self.end_time = availableTimeBnds[1]
def __init__(self, model1, var1, pres1, model2, var2, pres2, start_time,
end_time, lonS, lonE, latS, latE, nSample, output_dir,
isDiffPlot):
self.model1 = model1
self.var1 = var1
self.pres1 = pres1
self.model2 = model2
self.var2 = var2
self.pres2 = pres2
self.start_time = start_time
self.end_time = end_time
self.lon1 = lonS
self.lon2 = lonE
self.lat1 = latS
self.lat2 = latE
self.nSample = nSample
self.output_dir = output_dir
self.isDiffPlot = isDiffPlot
availableTimeBnds = correctTimeBounds2('2', model1.replace("_",
"/"), var1,
model2.replace("_", "/"), var2,
start_time, end_time)
self.start_time = availableTimeBnds[0]
self.end_time = availableTimeBnds[1]
def __init__(self, data_source, var, start_time, end_time, lon1, lon2,
lat1, lat2, pres1, pres2, months, env_var_source, env_var,
bin_min, bin_max, bin_n, env_var_plev, output_dir,
displayOpt):
self.data_source = data_source # for e.g. "NCAR_cam5" or "nasa_airs", etc
self.var = var # CMIP5 variable names, e.g. 'ta', 'hus', 'clt'
self.lon1 = lon1 # longitude range, min, units = deg
self.lon2 = lon2 # longitude range, max, units = deg
self.lat1 = lat1 # latitude range, min, units = deg
self.lat2 = lat2 # latitude range, max, units = deg
self.pres1 = pres1 # pressure level 1 for pressure range
self.pres2 = pres2 # pressure level 2 for pressure range
self.months = months # month index to specify season, e.g. 6,7,8 for boreal summer
self.env_var_source = env_var_source # large scale environmental variable data source, e.g. "NCAR_cam5"
self.env_var = env_var # large scale environmental variable CMIP5 name, e.g. 'ts', 'tos'
self.bin_min = bin_min # min value of bin boundary for sorting large scale env var
self.bin_max = bin_max # max value of bin boundary for sorting large scale env var
self.bin_n = bin_n # number of bins to be used
self.env_var_plev = env_var_plev # pressure level for env var if it is 3-d
self.output_dir = output_dir # output directory for figure and data file
self.displayOpt = displayOpt # display option, if in binary, the last 3 bits = [z y x]
availableTimeBnds = correctTimeBounds2(
'2', data_source.replace("_", "/"), var,
env_var_source.replace("_", "/"), env_var, start_time, end_time)
self.start_time = availableTimeBnds[0]
self.end_time = availableTimeBnds[1]
def __init__(self,
model1, var1, pres1,
model2, var2, pres2,
start_time, end_time, lonS, lonE, latS, latE, nSample, output_dir, isDiffPlot):
self.model1 = model1
self.var1 = var1
self.pres1 = pres1
self.model2 = model2
self.var2 = var2
self.pres2 = pres2
self.start_time = start_time
self.end_time = end_time
self.lon1 = lonS
self.lon2 = lonE
self.lat1 = latS
self.lat2 = latE
self.nSample = nSample
self.output_dir = output_dir
self.isDiffPlot = isDiffPlot
availableTimeBnds = correctTimeBounds2('2', model1.replace("_", "/"), var1, model2.replace("_", "/"), var2, start_time, end_time)
self.start_time = availableTimeBnds[0]
self.end_time = availableTimeBnds[1]
def __init__(self, data_source, var, start_time, end_time, lon1, lon2,
lat1, lat2, pres1, pres2, months, env_var_source1, env_var1,
bin_min1, bin_max1, bin_n1, env_var_plev1, env_var_source2,
env_var2, bin_min2, bin_max2, bin_n2, env_var_plev2,
output_dir, displayOpt):
self.data_source = data_source # for e.g. "NCAR_cam5" or "nasa_airs", etc
self.var = var # CMIP5 variable names, e.g. 'ta', 'hus', 'clt'
self.lon1 = lon1 # longitude range, min, units = deg
self.lon2 = lon2 # longitude range, max, units = deg
self.lat1 = lat1 # latitude range, min, units = deg
self.lat2 = lat2 # latitude range, max, units = deg
self.pres1 = pres1 # pressure level 1 for pressure range
self.pres2 = pres2 # pressure level 2 for pressure range
self.months = months # month index to specify season, e.g. 6,7,8 for boreal summer
self.env_var_source1 = env_var_source1 # first large scale environmental variable data source, e.g. "NCAR_cam5"
self.env_var1 = env_var1 # first large scale environmental variable CMIP5 name, e.g. 'ts', 'tos'
self.bin_min1 = bin_min1 # min value of bin boundary for sorting first large scale env var
self.bin_max1 = bin_max1 # max value of bin boundary for sorting first large scale env var
self.bin_n1 = bin_n1 # number of bins to be used for the first large scale variable
self.env_var_plev1 = env_var_plev1 # pressure level for env var if it is 3-d
self.env_var_source2 = env_var_source2 # first large scale environmental variable data source, e.g. "NCAR_cam5"
self.env_var2 = env_var2 # first large scale environmental variable CMIP5 name, e.g. 'ts', 'tos'
self.bin_min2 = bin_min2 # min value of bin boundary for sorting first large scale env var
self.bin_max2 = bin_max2 # max value of bin boundary for sorting first large scale env var
self.bin_n2 = bin_n2 # number of bins to be used for the first large scale variable
self.env_var_plev2 = env_var_plev2 # pressure level for env var if it is 3-d
self.output_dir = output_dir # output directory for figure and data file
self.displayOpt = displayOpt # display option, if in binary, the last 3 bits = [z y x]
availableTimeBnds1 = correctTimeBounds2(
'2', data_source.replace("_", "/"), var,
env_var_source1.replace("_", "/"), env_var1, start_time, end_time)
availableTimeBnds2 = correctTimeBounds2(
'2', data_source.replace("_", "/"), var,
env_var_source2.replace("_", "/"), env_var2, start_time, end_time)
self.start_time = str(
max(int(availableTimeBnds1[0]), int(availableTimeBnds2[0])))
self.end_time = str(
min(int(availableTimeBnds1[1]), int(availableTimeBnds2[1])))
def __init__(
self,
model1,
var1,
pres1,
model2,
var2,
pres2,
laggedTime,
start_time,
end_time,
lonS,
lonE,
latS,
latE,
#months,
output_dir):
self.model1 = model1
self.var1 = var1
self.pres1 = pres1
self.model2 = model2
self.var2 = var2
self.pres2 = pres2
self.laggedTime = laggedTime
self.start_time = start_time
self.end_time = end_time
self.lon1 = lonS
self.lon2 = lonE
self.lat1 = latS
self.lat2 = latE
#self.months = months
self.output_dir = output_dir
availableTimeBnds = correctTimeBounds2('2', model1.replace("_",
"/"), var1,
model2.replace("_", "/"), var2,
start_time, end_time)
self.start_time = availableTimeBnds[0]
self.end_time = availableTimeBnds[1]
def __init__(self, data_source, var, start_time, end_time, lon1, lon2, lat1, lat2, pres1, pres2, months, env_var_source, env_var, bin_min, bin_max, bin_n, env_var_plev, output_dir, displayOpt):
self.data_source = data_source # for e.g. "NCAR_cam5" or "nasa_airs", etc
self.var = var # CMIP5 variable names, e.g. 'ta', 'hus', 'clt'
self.lon1 = lon1 # longitude range, min, units = deg
self.lon2 = lon2 # longitude range, max, units = deg
self.lat1 = lat1 # latitude range, min, units = deg
self.lat2 = lat2 # latitude range, max, units = deg
self.pres1 = pres1 # pressure level 1 for pressure range
self.pres2 = pres2 # pressure level 2 for pressure range
self.months = months # month index to specify season, e.g. 6,7,8 for boreal summer
self.env_var_source = env_var_source # large scale environmental variable data source, e.g. "NCAR_cam5"
self.env_var = env_var # large scale environmental variable CMIP5 name, e.g. 'ts', 'tos'
self.bin_min = bin_min # min value of bin boundary for sorting large scale env var
self.bin_max = bin_max # max value of bin boundary for sorting large scale env var
self.bin_n = bin_n # number of bins to be used
self.env_var_plev = env_var_plev # pressure level for env var if it is 3-d
self.output_dir = output_dir # output directory for figure and data file
self.displayOpt = displayOpt # display option, if in binary, the last 3 bits = [z y x]
availableTimeBnds = correctTimeBounds2('2', data_source.replace("_", "/"), var, env_var_source.replace("_", "/"), env_var, start_time, end_time)
self.start_time = availableTimeBnds[0]
self.end_time = availableTimeBnds[1]