code: def disaggregate_temperature(self, method='sine_min_max', min_max_time='fix', mod_nighttime=False):
          
          self.data_disagg.temp = melodist.disaggregate_temperature(
              self.data_daily,
              method=method,
              min_max_time=min_max_time,
              max_delta=self.statistics.temp.max_delta,
              mean_course=self.statistics.temp.mean_course,
              sun_times=self.sun_times,
              mod_nighttime=mod_nighttime
          )
docs: Disaggregate air temperature.
  
          Parameters
          ----------
          method : str, optional
              Disaggregation method.
  
              ``sine_min_max``
                  Hourly temperatures follow a sine function preserving daily minimum
                  and maximum values. (Default)
  
              ``sine_mean``
                  Hourly temperatures follow a sine function preserving the daily mean
                  value and the diurnal temperature range.
  
              ``sine``
                  Same as ``sine_min_max``.
  
              ``mean_course_min_max``
                  Hourly temperatures follow an observed average course (calculated for each month),
                  preserving daily minimum and maximum values.
  
              ``mean_course_mean``
                  Hourly temperatures follow an observed average course (calculated for each month),
                  preserving the daily mean value and the diurnal temperature range.
  
          min_max_time : str, optional
              Method to determine the time of minimum and maximum temperature.
  
              ``fix``:
                  Minimum/maximum temperature are assumed to occur at 07:00/14:00 local time.
  
              ``sun_loc``:
                  Minimum/maximum temperature are assumed to occur at sunrise / solar noon + 2 h.
  
              ``sun_loc_shift``:
                  Minimum/maximum temperature are assumed to occur at sunrise / solar noon + monthly mean shift.
  
          mod_nighttime : bool, optional
              Use linear interpolation between minimum and maximum temperature.