bump version

mvcm/__init__.py

 """Set up version."""
 
-__version__ = "0.3.0"
+__version__ = "0.3.1"

mvcm/read_data.py

@@ -126,7 +126,9 @@ class ReadData(CollectInputs):
         high resolution data flag
     """
 
-    satellite: str = field(validator=[validators.instance_of(str), validators.in_(["snpp"])])
+    satellite: str = field(
+        validator=[validators.instance_of(str), validators.in_(["snpp", "noaa20", "noaa21"])]
+    )
     sensor: str = field(validator=[validators.instance_of(str), validators.in_(["viirs"])])
     hires: bool = field(default=False, validator=[validators.instance_of(bool)])  # type: ignore
 

mvcm/utility_functions.py

@@ -13,14 +13,14 @@ def cloud_mask_spi(data: xr.Dataset):
     xdim = int(m05.shape[0] / 2)
     ydim = int(m05.shape[1] / 2)
     spi = xr.DataArray(
-        np.empty((2, xdim, ydim), dtype=np.float32),
+        np.empty((xdim, ydim, 2), dtype=np.float32),
         dims=("SPI_nbands", "number_of_lines", "number_of_pixels"),
     )
-    spi[0, :, :] = 100 * (
+    spi[:, :, 0] = 100 * (
         m05.coarsen(number_of_lines=2, number_of_pixels=2).std()
         / m05.coarsen(number_of_lines=2, number_of_pixels=2).mean()
     )
-    spi[1, :, :] = 100 * (
+    spi[:, :, 1] = 100 * (
         m07.coarsen(number_of_lines=2, number_of_pixels=2).std()
         / m07.coarsen(number_of_lines=2, number_of_pixels=2).mean()
     )

mvcm/write_output.py

@@ -183,12 +183,12 @@ def save_output(
         },
     }
     spi_data = {
-        "SPI_Cloud_Mask": {
-            "dims": ("SPI_nbands", "number_of_lines", "number_of_pixels"),
+        "Cloud_Mask_SPI": {
+            "dims": ("number_of_lines", "number_of_pixels", "SPI_nbands"),
             "data": data.spi.values,
             "attrs": {
                 "units": "none",
-                "long_name": "VIIRS SPI",
+                "long_name": "Cloud Mask SPI",
                 "_FillValue": -999.9,
                 "valid_min": 0.0,
                 "valid_max": 100.0,