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