本文整理汇总了Python中pycmbs.data.Data._clim_filename方法的典型用法代码示例。如果您正苦于以下问题：Python Data._clim_filename方法的具体用法？Python Data._clim_filename怎么用？Python Data._clim_filename使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pycmbs.data.Data的用法示例。
在下文中一共展示了Data._clim_filename方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_model_data_generic
# 需要导入模块: from pycmbs.data import Data [as 别名]
# 或者: from pycmbs.data.Data import _clim_filename [as 别名]
#.........这里部分代码省略.........
thetime_cylce = 12
elif interval == "season":
thetime_cylce = 4
else:
print interval
raise ValueError("Unsupported interval!")
mdata = Data(
mdata_clim_file,
varname,
read=True,
label=self._unique_name,
unit=units,
lat_name=lat_name,
lon_name=lon_name,
shift_lon=False,
scale_factor=scf,
level=thelevel,
time_cycle=thetime_cylce,
)
mdata_std = Data(
mdata_clim_std_file,
varname,
read=True,
label=self._unique_name + " std",
unit="-",
lat_name=lat_name,
lon_name=lon_name,
shift_lon=False,
level=thelevel,
time_cycle=thetime_cylce,
)
mdata.std = mdata_std.data.copy()
del mdata_std
mdata_N = Data(
mdata_N_file,
varname,
read=True,
label=self._unique_name + " std",
unit="-",
lat_name=lat_name,
lon_name=lon_name,
shift_lon=False,
scale_factor=scf,
level=thelevel,
)
mdata.n = mdata_N.data.copy()
del mdata_N
# ensure that climatology always starts with January, therefore set date and then sort
mdata.adjust_time(year=1700, day=15) # set arbitrary time for climatology
mdata.timsort()
# 4) read monthly data
mdata_all = Data(
file_monthly,
varname,
read=True,
label=self._unique_name,
unit=units,
lat_name=lat_name,
lon_name=lon_name,
shift_lon=False,
time_cycle=12,
scale_factor=scf,
level=thelevel,
)
mdata_all.adjust_time(day=15)
# mask_antarctica masks everything below 60 degrees S.
# here we only mask Antarctica, if only LAND points shall be used
if valid_mask == "land":
mask_antarctica = True
elif valid_mask == "ocean":
mask_antarctica = False
else:
mask_antarctica = False
if target_grid == "t63grid":
mdata._apply_mask(get_T63_landseamask(False, area=valid_mask, mask_antarctica=mask_antarctica))
mdata_all._apply_mask(get_T63_landseamask(False, area=valid_mask, mask_antarctica=mask_antarctica))
else:
tmpmsk = get_generic_landseamask(
False, area=valid_mask, target_grid=target_grid, mask_antarctica=mask_antarctica
)
mdata._apply_mask(tmpmsk)
mdata_all._apply_mask(tmpmsk)
del tmpmsk
mdata_mean = mdata_all.fldmean()
mdata._raw_filename = filename1
mdata._monthly_filename = file_monthly
mdata._clim_filename = mdata_clim_file
mdata._varname = varname
# return data as a tuple list
retval = (mdata_all.time, mdata_mean, mdata_all)
del mdata_all
return mdata, retval