def _prepare_environment(self):
SystemNclPlotter._prepare_environment(self)
# NOTE: grapes_meso_data is needed by T2MMAX/T2MMIN plots.
forecast_datetime = self.start_datetime + pd.to_timedelta("24h")
with open("grapes_meso_date", "w") as f:
f.write(f"{self.start_time}024\n")
f.write(f"{forecast_datetime.strftime('%Y%m%d%H')}")
def __init__(self, task: dict, work_dir: str, config: dict, **kwargs):
SystemNclPlotter.__init__(self, task, work_dir, config, **kwargs)
def __init__(self, task: Dict, work_dir: str, config: Dict, **kwargs):
SystemNclPlotter.__init__(self, task, work_dir, config, **kwargs)
self.typhoon_area = task["typhoon_area"]
def __init__(self, task: dict, work_dir: str, config: dict, **kwargs):
SystemNclPlotter.__init__(self, task, work_dir, config, **kwargs)
self.forecast_hour = "T2MExt"
self.min_forecast_time = self.forecast_hour
self.max_forecast_time = self.forecast_hour