def compute(d):
"""Computes bias"""
if d is None: # just want the doc
return {
"Name": "Mean",
"Abstract": "Area Mean (area weighted)",
"Contact": "*****@*****.**",
}
return MV2.float(cdutil.averager(d, axis="xy", weights="weighted"))
def compute(dm, do):
""" Computes bias"""
if dm is None and do is None: # just want the doc
return {
"Name": "Bias",
"Abstract": "Compute Full Average of Model - Observation",
"Contact": "Peter Gleckler <*****@*****.**>",
}
return MV2.float(MV2.average(MV2.subtract(dm, do)))
def compute(d):
""" Computes bias"""
if d is None: # just want the doc
return {
"Name": "Mean",
"Abstract": "Area Mean (area weighted)",
"Contact": "*****@*****.**",
}
return MV2.float(cdutil.averager(d, axis='xy', weights='weighted'))
def compute(dm, do):
"""Computes bias"""
if dm is None and do is None: # just want the doc
return {
"Name": "Bias",
"Abstract": "Compute Full Average of Model - Observation",
"Contact": "*****@*****.**",
}
dif = MV2.subtract(dm, do)
return MV2.float(cdutil.averager(dif, axis="xyt", weights="weighted"))
def compute(dm, do):
""" Computes bias"""
if dm is None and do is None: # just want the doc
return {
"Name": "Bias",
"Abstract": "Compute Full Average of Model - Observation",
"Contact": "*****@*****.**",
}
dif = MV2.subtract(dm, do)
return MV2.float(cdutil.averager(dif, axis='xyt', weights='weighted'))
def compute(dm, do):
""" Computes bias"""
return MV.float(MV.average(MV.subtract(dm, do)))
def compute(dm,do):
""" Computes bias"""
return MV.float(MV.average(MV.subtract(dm,do)))