added float32 conversion and modified raml

config/esl-3dclouds/geoprocess.yaml

@@ -1,8 +1,8 @@
 # PATH WITH RAW DATA
-read_path: /mnt/disks/data/miniset/
+read_path: /home/anna.jungbluth/data/
 
 # PATH FOR SAVING GEOPROCESSED DATA
-save_path: /mnt/disks/data/miniset-full-disk/
+save_path: /home/anna.jungbluth/data/geoprocessing/
 
 defaults:
   - _self_

config/esl-3dclouds/main.yaml

@@ -1,7 +1,7 @@
 defaults:
   - download
   - geoprocess
-  - patch
-  - satellite: aqua
+  # - patch
+  - satellite: msg
 
-stage: download
+stage: geoprocess

config/esl-3dclouds/satellite/msg.yaml

@@ -8,10 +8,10 @@ download:
 
 geoprocess:
   _target_: rs_tools._src.geoprocessing.msg.geoprocessor_msg.geoprocess
-  read_path: ${read_path}/msg/raw
-  save_path: ${save_path}/msg/geoprocessed
+  read_path: ${read_path}
+  save_path: ${save_path}
   resolution: null
-  region: "-70 -15 20 5"
+  region: null
   resample_method: bilinear
 
 # preprocess:

rs_tools/_src/geoprocessing/msg/geoprocessor_msg.py

@@ -180,6 +180,7 @@ def preprocess_fn_radiances(self, file: List[str], cloud_mask: np.array) -> xr.D
         # concatinate in new band dimension
         # NOTE: Concatination overwrites attrs of bands.
         ds_subset = ds_subset.assign(Rad=xr.concat(list(map(lambda x: ds_subset[x], channels)), dim="band"))
+        ds_subset['Rad'] = ds_subset['Rad'].astype('float32')
         # rename band dimensions
         ds_subset = ds_subset.assign_coords(band=list(map(lambda x: x, channels)))
 
@@ -206,6 +207,8 @@ def preprocess_fn_radiances(self, file: List[str], cloud_mask: np.array) -> xr.D
         )
         # assign band wavelengths 
         ds_subset = ds_subset.assign_coords({"band_wavelength": list(MSG_WAVELENGTHS.values())}) 
+        # change to float32 to reduce file size
+        ds_subset['Rad'] = ds_subset['Rad'].astype('float32')
 
         return ds_subset