Include start_* vars in GDP 6-hourly and hourly experimental (#239)

Author: milancurcic

clouddrift/adapters/gdp.py

@@ -27,6 +27,9 @@
     "deploy_date",
     "deploy_lat",
     "deploy_lon",
+    "start_date",
+    "start_lat",
+    "start_lon",
     "end_date",
     "end_lat",
     "end_lon",

clouddrift/adapters/gdp1h.py

@@ -318,12 +318,30 @@ def preprocess(index: int, **kwargs) -> xr.Dataset:
         },
         "deploy_lon": {"long_name": "Deployment longitude", "units": "degrees_east"},
         "deploy_lat": {"long_name": "Deployment latitude", "units": "degrees_north"},
+        "start_date": {
+            "long_name": "First good date and time derived by DAC quality control",
+            "units": "seconds since 1970-01-01 00:00:00",
+        },
+        "start_lon": {
+            "long_name": "First good longitude derived by DAC quality control",
+            "units": "degrees_east",
+        },
+        "start_lat": {
+            "long_name": "Last good latitude derived by DAC quality control",
+            "units": "degrees_north",
+        },
         "end_date": {
-            "long_name": "End date and time",
+            "long_name": "Last good date and time derived by DAC quality control",
             "units": "seconds since 1970-01-01 00:00:00",
         },
-        "end_lon": {"long_name": "End latitude", "units": "degrees_north"},
-        "end_lat": {"long_name": "End longitude", "units": "degrees_east"},
+        "end_lon": {
+            "long_name": "Last good longitude derived by DAC quality control",
+            "units": "degrees_east",
+        },
+        "end_lat": {
+            "long_name": "Last good latitude derived by DAC quality control",
+            "units": "degrees_north",
+        },
         "drogue_lost_date": {
             "long_name": "Date and time of drogue loss",
             "units": "seconds since 1970-01-01 00:00:00",

clouddrift/raggedarray.py

@@ -325,7 +325,10 @@ def allocate(
 
         metadata = {}
         for var in name_meta:
-            metadata[var] = np.zeros(nb_traj, dtype=ds[var].dtype)
+            try:
+                metadata[var] = np.zeros(nb_traj, dtype=ds[var].dtype)
+            except KeyError:
+                warnings.warn(f"Variable {var} requested but not found; skipping.")
 
         data = {}
         for var in name_data:
@@ -350,7 +353,12 @@ def allocate(
                     coords[var][oid : oid + size] = ds[var].data
 
                 for var in name_meta:
-                    metadata[var][i] = ds[var][0].data
+                    try:
+                        metadata[var][i] = ds[var][0].data
+                    except KeyError:
+                        warnings.warn(
+                            f"Variable {var} requested but not found; skipping."
+                        )
 
                 for var in name_data:
                     if var in ds.keys():