Fix SSMIS configs

icenet_mp/config/data/datasets/full_sicnorth_ssmis_25k_1979_2024_24h_v1.yaml

@@ -353,5 +353,10 @@ full-sicnorth-ssmis-25k-1979-2024-24h-v1:
           offset: 0.0
           param: total_standard_uncertainty
 
-  statistics:
-    allow_nans: [algorithm_standard_uncertainty]
+      # Replace NaNs with 0 for concentration variables and 99 for uncertainty variables
+      - nan_to_num:
+          variables: [ice_conc, raw_ice_conc_values]
+          replace_with: 0.0
+      - nan_to_num:
+          variables: [algorithm_standard_uncertainty, smearing_standard_uncertainty, total_standard_uncertainty]
+          replace_with: 99

icenet_mp/config/data/datasets/full_sicsouth_ssmis_25k_1979_2024_24h_v1.yaml

@@ -764,5 +764,10 @@ full-sicsouth-ssmis-25k-1979-2024-24h-v1:
           offset: 0.0
           param: total_standard_uncertainty
 
-  statistics:
-    allow_nans: [algorithm_standard_uncertainty]
+      # Replace NaNs with 0 for concentration variables and 99 for uncertainty variables
+      - nan_to_num:
+          variables: [ice_conc, raw_ice_conc_values]
+          replace_with: 0.0
+      - nan_to_num:
+          variables: [algorithm_standard_uncertainty, smearing_standard_uncertainty, total_standard_uncertainty]
+          replace_with: 99

icenet_mp/config/data/datasets/samp_sicnorth_ssmis_25k_2017_2019_24h_v1.yaml

@@ -53,5 +53,10 @@ samp-sicnorth-ssmis-25k-2017-2019-24h-v1:
           offset: 0.0
           param: total_standard_uncertainty
 
-  statistics:
-    allow_nans: [algorithm_standard_uncertainty]
+      # Replace NaNs with 0 for concentration variables and 99 for uncertainty variables
+      - nan_to_num:
+          variables: [ice_conc, raw_ice_conc_values]
+          replace_with: 0.0
+      - nan_to_num:
+          variables: [algorithm_standard_uncertainty, smearing_standard_uncertainty, total_standard_uncertainty]
+          replace_with: 99

icenet_mp/config/data/datasets/samp_sicsouth_ssmis_25k_2017_2019_24h_v1.yaml

@@ -53,5 +53,10 @@ samp-sicsouth-ssmis-25k-2017-2019-24h-v1:
           offset: 0.0
           param: total_standard_uncertainty
 
-  statistics:
-    allow_nans: [algorithm_standard_uncertainty]
+      # Replace NaNs with 0 for concentration variables and 99 for uncertainty variables
+      - nan_to_num:
+          variables: [ice_conc, raw_ice_conc_values]
+          replace_with: 0.0
+      - nan_to_num:
+          variables: [algorithm_standard_uncertainty, smearing_standard_uncertainty, total_standard_uncertainty]
+          replace_with: 99

icenet_mp/data_processors/filters/__init__.py

@@ -3,18 +3,25 @@
 from anemoi.transform.filters import filter_registry
 
 from .doubling_filter import DoublingFilter
+from .nan_to_num import NanToNum
 
 logger = logging.getLogger(__name__)
 
 
 def register_filters() -> None:
     """Register all filters with anemoi-transform."""
-    if "doubling_filter" not in filter_registry.registered:
-        filter_registry.register("doubling_filter", DoublingFilter)
-        logger.debug("Registered DoublingFilter with anemoi-transform.")
+    filters = {
+        "doubling_filter": DoublingFilter,
+        "nan_to_num": NanToNum,
+    }
+    for filter_name, filter_class in filters.items():
+        if filter_name not in filter_registry.registered:
+            filter_registry.register(filter_name, filter_class)
+            logger.debug("Registered %s with anemoi-transform.", filter_class.__name__)
 
 
 __all__ = [
     "DoublingFilter",
+    "NanToNum",
     "register_filters",
 ]

icenet_mp/data_processors/filters/doubling_filter.py

@@ -16,9 +16,12 @@ def __init__(
         self.input_field = input_field
         self.output_field = output_field
 
-    def forward_transform(self, input_field: ekd.Field) -> Iterator[ekd.Field]:
-        """An example forward transform that doubles the input field as a new field."""
-        yield input_field
-        yield self.new_field_from_numpy(
-            input_field.to_numpy() * 2, template=input_field, param=self.output_field
-        )
+    def forward_transform(self, *input_fields: ekd.Field) -> Iterator[ekd.Field]:
+        """A forward transform that doubles the input field as a new field."""
+        for input_field in input_fields:
+            yield input_field
+            yield self.new_field_from_numpy(
+                input_field.to_numpy() * 2,
+                template=input_field,
+                param=self.output_field,
+            )

icenet_mp/data_processors/filters/nan_to_num.py

@@ -0,0 +1,19 @@
+"""Filter that replaces all NaN values in the 'variables' list with the 'replace_with' value."""
+
+import earthkit.data as ekd
+import numpy as np
+from anemoi.transform.filter import SingleFieldFilter
+
+
+class NanToNum(SingleFieldFilter):
+    required_inputs = ("variables", "replace_with")
+
+    def forward_select(self) -> dict[str, str | list[str] | tuple[str]]:
+        """Select which fields to transform."""
+        return {"param": list(self.variables)}
+
+    def forward_transform(self, field: ekd.Field) -> ekd.Field:
+        """A forward transform that replaces NaNs in the input field with 'replace_with'."""
+        return self.new_field_from_numpy(
+            np.nan_to_num(field.to_numpy(), nan=self.replace_with), template=field
+        )