diff --git a/dag/climate.yml b/dag/climate.yml
index 3219346c125..300386de3bd 100644
--- a/dag/climate.yml
+++ b/dag/climate.yml
@@ -272,9 +272,13 @@ steps:
     - snapshot://climate/2025-02-12/sst.csv
   data://garden/climate/2025-02-12/sst:
     - data://meadow/climate/2025-02-12/sst
+  data://garden/climate/2025-02-12/sst_annual:
+    - data://garden/climate/2025-02-12/sst
   data://grapher/climate/2025-02-12/sst:
     - data://garden/climate/2025-02-12/sst
   data://grapher/climate/2025-02-12/sst_by_month:
     - data://garden/climate/2025-02-12/sst
+  data://grapher/climate/2025-02-12/sst_annual:
+    - data://garden/climate/2025-02-12/sst_annual
 
 
diff --git a/etl/steps/data/garden/climate/2025-02-12/sst.py b/etl/steps/data/garden/climate/2025-02-12/sst.py
index 7d558257e57..292696968ed 100644
--- a/etl/steps/data/garden/climate/2025-02-12/sst.py
+++ b/etl/steps/data/garden/climate/2025-02-12/sst.py
@@ -31,7 +31,7 @@ def run(dest_dir: str) -> None:
     tb["nino_classification"] = tb["nino_classification"].astype(int)
 
     for col in ["nino_classification"]:
-        tb[col].metadata.origins = tb["nino3_4_anomaly"].metadata.origins
+        tb[col] = tb[col].copy_metadata(tb["nino3_4_anomaly"])
 
     tb = tb.drop(columns={"nino4_anomaly", "nino3_4_anomaly"})
 
diff --git a/etl/steps/data/garden/climate/2025-02-12/sst_annual.meta.yml b/etl/steps/data/garden/climate/2025-02-12/sst_annual.meta.yml
new file mode 100644
index 00000000000..a2cba7ff645
--- /dev/null
+++ b/etl/steps/data/garden/climate/2025-02-12/sst_annual.meta.yml
@@ -0,0 +1,20 @@
+# NOTE: To learn more about the fields, hover over their names.
+definitions:
+  common:
+    processing_level: major
+
+# Learn more about the available fields:
+# http://docs.owid.io/projects/etl/architecture/metadata/reference/
+dataset:
+  update_period_days: 31
+  title: Equatorial Pacific Sea Surface Temperatures (SST) data - El Niño or La Niña Annual Anomaly
+
+tables:
+  sst:
+    variables:
+      annual_oni_anomaly:
+        title: Annual Oceanic Niño Index (ONI) anomaly
+        unit: ""
+        description_processing: |-
+          Annual anomalies of the Oceanic Niño Index (ONI) are calculated by taking the average of the monthly ONI values for a given year.
+
diff --git a/etl/steps/data/garden/climate/2025-02-12/sst_annual.py b/etl/steps/data/garden/climate/2025-02-12/sst_annual.py
new file mode 100644
index 00000000000..91200bc19ad
--- /dev/null
+++ b/etl/steps/data/garden/climate/2025-02-12/sst_annual.py
@@ -0,0 +1,38 @@
+"""Load a meadow dataset and create a garden dataset."""
+
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load meadow dataset.
+    ds_garden = paths.load_dataset("sst")
+
+    # Read table from meadow dataset.
+    tb = ds_garden.read("sst")
+
+    #
+    # Process data.
+    #
+    # Calculate the annual average for the dataset
+    tb_annual = tb.groupby(["country", "year"]).mean().reset_index()
+    tb_annual = tb_annual.rename(columns={"oni_anomaly": "annual_oni_anomaly"})
+    tb_annual = tb_annual.drop(columns={"month", "nino_classification"})
+
+    tb_annual = tb_annual.format(["country", "year"])
+
+    #
+    # Save outputs.
+    #
+    # Create a new garden dataset with the same metadata as the meadow dataset.
+    ds_garden = create_dataset(
+        dest_dir, tables=[tb_annual], check_variables_metadata=True, default_metadata=ds_garden.metadata
+    )
+
+    # Save changes in the new garden dataset.
+    ds_garden.save()
diff --git a/etl/steps/data/grapher/climate/2025-02-12/sst_annual.py b/etl/steps/data/grapher/climate/2025-02-12/sst_annual.py
new file mode 100644
index 00000000000..5aecbe42029
--- /dev/null
+++ b/etl/steps/data/grapher/climate/2025-02-12/sst_annual.py
@@ -0,0 +1,30 @@
+"""Load a garden dataset and create a grapher dataset."""
+
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load garden dataset.
+    ds_garden = paths.load_dataset("sst_annual")
+
+    # Read table from garden dataset.
+    tb = ds_garden.read("sst", reset_index=True)
+    tb["country"] = tb["country"].replace({"World": "Global"})
+    tb = tb.format(["year", "country"])
+
+    #
+    # Save outputs.
+    #
+    # Create a new grapher dataset with the same metadata as the garden dataset.
+    ds_grapher = create_dataset(
+        dest_dir, tables=[tb], check_variables_metadata=True, default_metadata=ds_garden.metadata
+    )
+
+    # Save changes in the new grapher dataset.
+    ds_grapher.save()