|
86 | 86 | ), |
87 | 87 | }, |
88 | 88 | ), |
| 89 | + "ds_NEMO_MOI_U": xr.Dataset( |
| 90 | + # NEMO model dataset (U component) as serviced by Mercator Ocean International |
| 91 | + { |
| 92 | + "vozocrtx": ( |
| 93 | + ["deptht", "y", "x"], |
| 94 | + np.random.rand(Z, Y, X, dtype="float64"), |
| 95 | + { |
| 96 | + "units": "m s-1", |
| 97 | + "valid_min": -10.0, |
| 98 | + "valid_max": 10.0, |
| 99 | + "long_name": "Zonal velocity", |
| 100 | + "unit_long": "Meters per second", |
| 101 | + "standard_name": "sea_water_x_velocity", |
| 102 | + "short_name": "vozocrtx", |
| 103 | + "online_operation": "N/A", |
| 104 | + "interval_operation": 86400, |
| 105 | + "interval_write": 86400, |
| 106 | + "associate": "time_counter deptht nav_lat nav_lon", |
| 107 | + }, |
| 108 | + ), |
| 109 | + "sotkeavmu1": ( |
| 110 | + ["y", "x"], |
| 111 | + np.random.rand(Y, X, dtype="float64"), |
| 112 | + { |
| 113 | + "units": "m2 s-1", |
| 114 | + "valid_min": 0.0, |
| 115 | + "valid_max": 100.0, |
| 116 | + "long_name": "Vertical Eddy Viscosity U 1m", |
| 117 | + "standard_name": "ocean_vertical_eddy_viscosity_u_1m", |
| 118 | + "short_name": "sotkeavmu1", |
| 119 | + "online_operation": "N/A", |
| 120 | + "interval_operation": 86400, |
| 121 | + "interval_write": 86400, |
| 122 | + "associate": "time_counter nav_lat nav_lon", |
| 123 | + }, |
| 124 | + ), |
| 125 | + }, |
| 126 | + coords={ |
| 127 | + "nav_lon": ( |
| 128 | + ["y, x"], |
| 129 | + np.tile(np.linspace(-179, 179, X, endpoint=False), (Y, 1)), # note that this is not curvilinear |
| 130 | + { |
| 131 | + "units": "degrees_east", |
| 132 | + "valid_min": -179.99984754002182, |
| 133 | + "valid_max": 179.999842386314, |
| 134 | + "long_name": "Longitude", |
| 135 | + "nav_model": "Default grid", |
| 136 | + "standard_name": "longitude", |
| 137 | + }, |
| 138 | + ), |
| 139 | + "nav_lat": ( |
| 140 | + ["y, x"], |
| 141 | + np.tile(np.linspace(-75, 85, Y).reshape(-1, 1), (1, X)), # note that this is not curvilinear |
| 142 | + { |
| 143 | + "units": "degrees_north", |
| 144 | + "valid_min": -77.0104751586914, |
| 145 | + "valid_max": 89.9591064453125, |
| 146 | + "long_name": "Latitude", |
| 147 | + "nav_model": "Default grid", |
| 148 | + "standard_name": "latitude", |
| 149 | + }, |
| 150 | + ), |
| 151 | + "x": ( |
| 152 | + ["x"], |
| 153 | + np.arange(X, dtype="int32"), |
| 154 | + { |
| 155 | + "standard_name": "projection_x_coordinate", |
| 156 | + "axis": "X", |
| 157 | + "units": "1", |
| 158 | + }, |
| 159 | + ), |
| 160 | + "y": ( |
| 161 | + ["y"], |
| 162 | + np.arange(Y, dtype="int32"), |
| 163 | + { |
| 164 | + "standard_name": "projection_y_coordinate", |
| 165 | + "axis": "Y", |
| 166 | + "units": "1", |
| 167 | + }, |
| 168 | + ), |
| 169 | + "time_counter": ( |
| 170 | + [], |
| 171 | + np.empty(0, dtype="datetime64[ns]"), |
| 172 | + { |
| 173 | + "standard_name": "time", |
| 174 | + "long_name": "Time axis", |
| 175 | + "axis": "T", |
| 176 | + "time_origin": "1950-JAN-01 00:00:00", |
| 177 | + }, |
| 178 | + ), |
| 179 | + "deptht": ( |
| 180 | + ["deptht"], |
| 181 | + np.linspace(1, 5500, Z, dtype="float64"), |
| 182 | + { |
| 183 | + "units": "m", |
| 184 | + "positive": "down", |
| 185 | + "valid_min": 0.4940253794193268, |
| 186 | + "valid_max": 5727.91650390625, |
| 187 | + "long_name": "Vertical T levels", |
| 188 | + "standard_name": "depth", |
| 189 | + "axis": "Z", |
| 190 | + }, |
| 191 | + ), |
| 192 | + }, |
| 193 | + ), |
89 | 194 | } |
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