def rpLL_createdict(cf, ds, l6_info, output, called_by, flag_code):
"""
Purpose:
Creates a dictionary in ds to hold information about estimating ecosystem
respiration using the Lasslop method.
Usage:
Side effects:
Author: PRI
Date April 2016
"""
nrecs = int(ds.globalattributes["nc_nrecs"])
# create the Lasslop settings directory
if called_by not in l6_info.keys():
l6_info[called_by] = {"outputs": {}, "info": {}, "gui": {}}
# get the info section
rpLL_createdict_info(cf, ds, l6_info[called_by], called_by)
if ds.returncodes["value"] != 0:
return
# get the outputs section
rpLL_createdict_outputs(cf, l6_info[called_by], output, called_by, flag_code)
# create an empty series in ds if the output series doesn't exist yet
Fc = pfp_utils.GetVariable(ds, l6_info[called_by]["info"]["source"])
model_outputs = cf["EcosystemRespiration"][output][called_by].keys()
for model_output in model_outputs:
if model_output not in ds.series.keys():
# create an empty variable
variable = pfp_utils.CreateEmptyVariable(model_output, nrecs)
variable["Attr"]["long_name"] = "Ecosystem respiration"
variable["Attr"]["drivers"] = l6_info[called_by]["outputs"][model_output]["drivers"]
variable["Attr"]["description_l6"] = "Modeled by Lasslop et al. (2010)"
variable["Attr"]["target"] = l6_info[called_by]["info"]["target"]
variable["Attr"]["source"] = l6_info[called_by]["info"]["source"]
variable["Attr"]["units"] = Fc["Attr"]["units"]
pfp_utils.CreateVariable(ds, variable)
return
def DateTimeFromExcelDateAndTime(ds, dt_out, xlDate, xlTime):
""" Get Datetime from Excel date and time fields."""
xldate = ds.series[xlDate]
xltime = ds.series[xlTime]
nrecs = len(xldate["Data"])
xldatetime = pfp_utils.CreateEmptyVariable("xlDateTime", nrecs)
xldatetime["Data"] = xldate["Data"] + xltime["Data"]
xldatetime["Attr"]["long_name"] = "Date/time in Excel format"
xldatetime["Attr"]["units"] = "days since 1899-12-31 00:00:00"
pfp_utils.CreateVariable(ds, xldatetime)
pfp_utils.get_datetime_from_xldate(ds)
return 1
def rpLL_createdict(cf, ds, l6_info, output, called_by, flag_code):
"""
Purpose:
Creates a dictionary in ds to hold information about estimating ecosystem
respiration using the Lasslop method.
Usage:
Side effects:
Author: PRI
Date April 2016
"""
nrecs = int(ds.globalattributes["nc_nrecs"])
# make the L6 "description" attrubute for the target variable
descr_level = "description_" + ds.globalattributes["nc_level"]
# create the Lasslop settings directory
if called_by not in list(l6_info.keys()):
l6_info[called_by] = {"outputs": {}, "info": {}, "gui": {}}
# get the info section
rpLL_createdict_info(cf, ds, l6_info[called_by], called_by)
if ds.returncodes["value"] != 0:
return
# get the outputs section
rpLL_createdict_outputs(cf, l6_info[called_by], output, called_by,
flag_code)
# create an empty series in ds if the output series doesn't exist yet
Fco2 = pfp_utils.GetVariable(ds, l6_info[called_by]["info"]["source"])
model_outputs = list(cf["EcosystemRespiration"][output][called_by].keys())
for model_output in model_outputs:
if model_output not in list(ds.series.keys()):
l6_info["RemoveIntermediateSeries"]["not_output"].append(
model_output)
# create an empty variable
variable = pfp_utils.CreateEmptyVariable(model_output, nrecs)
variable["Attr"]["long_name"] = "Ecosystem respiration"
variable["Attr"]["drivers"] = l6_info[called_by]["outputs"][
model_output]["drivers"]
variable["Attr"][descr_level] = "Modeled by Lasslop et al. (2010)"
variable["Attr"]["target"] = l6_info[called_by]["info"]["target"]
variable["Attr"]["source"] = l6_info[called_by]["info"]["source"]
variable["Attr"]["units"] = Fco2["Attr"]["units"]
pfp_utils.CreateVariable(ds, variable)
# intermediate series to be deleted
for item in [
"alpha_LL", "beta_LL", "E0_LL", "k_LL", "rb_LL", "NEE_LL_all",
"GPP_LL_all"
]:
l6_info["RemoveIntermediateSeries"]["not_output"].append(item)
return
def rpLT_createdict(cf, ds, l6_info, output, called_by, flag_code):
"""
Purpose:
Creates a dictionary in ds to hold information about estimating ecosystem
respiration using the Lloyd-Taylor method.
Usage:
Author: PRI
Date October 2015
"""
nrecs = int(ds.globalattributes["nc_nrecs"])
# make the L6 "description" attrubute for the target variable
descr_level = "description_" + ds.globalattributes["nc_level"]
# create the LT settings directory
if called_by not in l6_info.keys():
l6_info[called_by] = {"outputs": {}, "info": {"source": "Fc", "target": "ER"}, "gui": {}}
# get the info section
rpLT_createdict_info(cf, ds, l6_info[called_by], called_by)
if ds.returncodes["value"] != 0:
return
# get the outputs section
rpLT_createdict_outputs(cf, l6_info[called_by], output, called_by, flag_code)
# create an empty series in ds if the output series doesn't exist yet
Fc = pfp_utils.GetVariable(ds, l6_info[called_by]["info"]["source"])
model_outputs = cf["EcosystemRespiration"][output][called_by].keys()
for model_output in model_outputs:
if model_output not in ds.series.keys():
l6_info["RemoveIntermediateSeries"]["not_output"].append(model_output)
# create an empty variable
variable = pfp_utils.CreateEmptyVariable(model_output, nrecs)
variable["Attr"]["long_name"] = "Ecosystem respiration"
variable["Attr"]["drivers"] = l6_info[called_by]["outputs"][model_output]["drivers"]
variable["Attr"][descr_level] = "Modeled by Lloyd-Taylor"
variable["Attr"]["target"] = l6_info[called_by]["info"]["target"]
variable["Attr"]["source"] = l6_info[called_by]["info"]["source"]
variable["Attr"]["units"] = Fc["Attr"]["units"]
pfp_utils.CreateVariable(ds, variable)
return