Fix rain gauge problems

src/processing/harmonizer/core.py

@@ -167,6 +167,7 @@ def get_valid_time_indices(self) -> list:
         """Finds valid time indices."""
         time = self.nc_raw.variables["time"]
         time_stamps = time[:]
+        raw_time_stamps = time_stamps.copy()
 
         if "seconds since" in time.units:
             time_stamps = np.array(cloudnetpy.utils.seconds2hours(time_stamps))
@@ -175,12 +176,13 @@ def get_valid_time_indices(self) -> list:
         valid_ind: list[int] = []
         for ind, t in enumerate(time_stamps):
             if 0 <= t < max_time:
-                if t < 0:
+                if t < 0 or raw_time_stamps[ind] < 0:
                     continue
-                if len(valid_ind) > 1 and t <= time_stamps[valid_ind[-1]]:
+                if len(valid_ind) > 0 and t <= time_stamps[valid_ind[-1]]:
                     continue
                 valid_ind.append(ind)
-        if not valid_ind:
+        # Skip files with only one valid time stamp
+        if len(valid_ind) < 2:
             raise cloudnetpy.exceptions.ValidTimeStampError
         return valid_ind
 

src/processing/harmonizer/rain_gauge.py

@@ -112,17 +112,9 @@ def _copy_variable(self, key: str, time_ind: list):
         var_out = self.nc.createVariable(
             key, dtype, "time", zlib=True, fill_value=fill_value
         )
-        self._copy_variable_attributes(variable, var_out)
         screened_data = self._screen_data(variable, time_ind)
         var_out[:] = screened_data
 
-    @staticmethod
-    def _copy_variable_attributes(var_in: netCDF4.Variable, var_out: netCDF4.Variable):
-        skip = ("_FillValue", "_Fill_Value", "description", "comment")
-        for attr in var_in.ncattrs():
-            if attr not in skip:
-                setattr(var_out, attr, getattr(var_in, attr))
-
     def fix_variable_names(self):
         keymap = {
             "rain_rate": "rainfall_rate",