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Copy file name to clipboardExpand all lines: parcels/_datasets/structured/circulation_models.py
+14-36Lines changed: 14 additions & 36 deletions
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@@ -47,7 +47,7 @@ def _copernicusmarine():
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"unit_long": "Meters",
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"units": "m",
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"axis": "Z",
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"long_name": "depth",
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"long_name": "Depth",
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"standard_name": "depth",
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"positive": "down",
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},
@@ -173,7 +173,6 @@ def _NEMO_MOI_U():
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"valid_min": -10.0,
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"valid_max": 10.0,
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"long_name": "Zonal velocity",
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"unit_long": "Meters per second",
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"standard_name": "sea_water_x_velocity",
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"short_name": "vozocrtx",
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"online_operation": "N/A",
@@ -242,16 +241,6 @@ def _NEMO_MOI_U():
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"units": "1",
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},
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),
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"time_counter": (
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["time_counter"],
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np.empty(0, dtype="datetime64[ns]"),
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{
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"standard_name": "time",
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"long_name": "Time axis",
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"axis": "T",
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"time_origin": "1950-JAN-01 00:00:00",
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},
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),
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"deptht": (
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["deptht"],
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np.linspace(1, 5500, Z, dtype="float64"),
@@ -281,7 +270,6 @@ def _NEMO_MOI_V():
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"valid_min": -10.0,
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"valid_max": 10.0,
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"long_name": "Meridional velocity",
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"unit_long": "Meters per second",
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"standard_name": "sea_water_y_velocity",
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"short_name": "vomecrty",
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"online_operation": "N/A",
@@ -297,8 +285,8 @@ def _NEMO_MOI_V():
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np.tile(np.linspace(-179, 179, X, endpoint=False), (Y, 1)), # note that this is not curvilinear
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{
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"units": "degrees_east",
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"valid_min": -179.99984754002182,
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"valid_max": 179.999842386314,
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"valid_min": -179.9999951021171,
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"valid_max": 180.0,
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"long_name": "Longitude",
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"nav_model": "Default grid",
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"standard_name": "longitude",
@@ -309,8 +297,8 @@ def _NEMO_MOI_V():
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np.tile(np.linspace(-75, 85, Y).reshape(-1, 1), (1, X)), # note that this is not curvilinear
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{
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"units": "degrees_north",
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"valid_min": -77.0104751586914,
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"valid_max": 89.9591064453125,
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"valid_min": -77.00110752801133,
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"valid_max": 89.95529158641207,
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"long_name": "Latitude",
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"nav_model": "Default grid",
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"standard_name": "latitude",
@@ -334,16 +322,6 @@ def _NEMO_MOI_V():
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"units": "1",
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},
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),
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"time_counter": (
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["time_counter"],
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np.empty(0, dtype="datetime64[ns]"),
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{
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"standard_name": "time",
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"long_name": "Time axis",
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"axis": "T",
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"time_origin": "1950-JAN-01 00:00:00",
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},
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),
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"deptht": (
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["deptht"],
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np.linspace(1, 5500, Z, dtype="float64"),
@@ -924,7 +902,7 @@ def _ecco4():
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"units": "degrees_north",
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"coordinate": "YG XG",
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"coverage_content_type": "coordinate",
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"comment": "Nonuniform grid spacing. Note: 'southwest' does not correspond to geographic orientation but is used for convenience to describe the computational grid. See MITgcm documentation for details.",
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"comment": "Nonuniform grid spacing. Note: 'southwest' does not correspond to geographic orientation but is used for convenience to describe the computational grid. See MITgcm dcoumentation for details.",
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},
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),
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"XC": (
@@ -949,7 +927,7 @@ def _ecco4():
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"units": "degrees_east",
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"coordinate": "YG XG",
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"coverage_content_type": "coordinate",
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"comment": "Nonuniform grid spacing. Note: 'southwest' does not correspond to geographic orientation but is used for convenience to describe the computational grid. See MITgcm documentation for details.",
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"comment": "Nonuniform grid spacing. Note: 'southwest' does not correspond to geographic orientation but is used for convenience to describe the computational grid. See MITgcm dcoumentation for details.",
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},
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),
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},
@@ -1007,7 +985,7 @@ def _CROCO_idealized():
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{
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"long_name": "free-surface",
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"units": "meter",
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"field": "free_surface, scalar, series",
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"field": "free-surface, scalar, series",
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"standard_name": "sea_surface_height",
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},
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),
@@ -1066,7 +1044,7 @@ def _CROCO_idealized():
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["eta_rho"],
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np.arange(Y, dtype="float32"),
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{
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"long name": "y-dimension of the grid",
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"long_name": "y-dimension of the grid",
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"standard_name": "y_grid_index",
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"axis": "Y",
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"c_grid_dynamic_range": f"2:{Y}",
@@ -1076,8 +1054,8 @@ def _CROCO_idealized():
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["eta_v"],
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np.arange(Y-1, dtype="float32"),
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{
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"long name": "y-dimension of the grid at v location",
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"standard_name": "y_grid_index_at_v_location",
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"long_name": "y-dimension of the grid at v location",
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"standard_name": "x_grid_index_at_v_location",
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"axis": "Y",
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"c_grid_axis_shift": 0.5,
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"c_grid_dynamic_range": f"2:{Y-1}",
@@ -1087,7 +1065,7 @@ def _CROCO_idealized():
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["xi_rho"],
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np.arange(X, dtype="float32"),
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{
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"long name": "x-dimension of the grid",
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"long_name": "x-dimension of the grid",
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"standard_name": "x_grid_index",
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"axis": "X",
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"c_grid_dynamic_range": f"2:{X}",
@@ -1097,7 +1075,7 @@ def _CROCO_idealized():
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["xi_u"],
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np.arange(X-1, dtype="float32"),
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{
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"long name": "x-dimension of the grid at u location",
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"long_name": "x-dimension of the grid at u location",
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