diff --git a/notebooks/tutorial/MultipleSources.ipynb b/notebooks/tutorial/MultipleSources.ipynb index 9a3174d7..f76f2020 100644 --- a/notebooks/tutorial/MultipleSources.ipynb +++ b/notebooks/tutorial/MultipleSources.ipynb @@ -19,6 +19,15 @@ "\n", "In all these examples, a simple linear interpolation is used for merging datasets. More complex merge operations are possible.\n", "\n", + "```\n", + "NCI groups:\n", + " +-------------+------+\n", + " | Himawari | rv74 |\n", + " | ACCESS | wr45 |\n", + " | Rainfields3 | rq0 |\n", + " +=============+======+\n", + "```\n", + "\n", "### Himawari Data\n", "\n", "The tutorial will first introduce a single data set. Datasets can be merged using a pre-defined grid (such as a Mercator projection with a specified grid spacing), or, and this is often simplest, one of the datasets can be used to define the target grid structure without needing a formal specification of it. Let's examine the Himawari data now." @@ -32,7 +41,6 @@ "outputs": [], "source": [ "%%capture\n", - "\n", "import pyearthtools.data as petdata\n", "import pyearthtools.pipeline as petpipe\n", "import tempfile\n", @@ -69,7 +77,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -146,7 +154,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -587,35 +595,35 @@ " source: rainfields 3.2.4 drs-rainfields 2021-02-02\n", " station_id: 310\n", " station_name: Ausm310\n", - " title: Bias Corrected Rainfall Rate Mosaic" ], @@ -662,7 +670,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -1097,7 +1105,7 @@ "\tSteps \n", "\t\t Himawari {'Himawari': {'data_interval': "(10, 'm')", 'file_regex': "'*{date_info}*{time_info}*.nc'", 'variables': "['surface_global_irradiance']"}}\n", "\t\t ACCESS.ACCESS_Analysis {'ACCESS_Analysis': {'data_interval': "(6, 'h')", 'datatype': "'an'", 'level_value': 'None', 'region': "'g'", 'variables': "['sfc/mslp']"}}\n", - "\t\t _.Rainfields3 {'Rainfields3': {'variables': "'prcp-crate'"}}" + "\t\t _.Rainfields3 {'Rainfields3': {'variables': "'prcp-crate'"}}" ], "text/plain": [ "" @@ -1138,21 +1146,21 @@ " viewBox=\"0.00 0.00 425.88 44.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n", "\n", "\n", - "\n", + "\n", "\n", - "Himawari_710b9020-d1c1-4d3d-8a9b-ac2d4562cf21\n", + "Himawari_65dc4209-6a90-4444-8a3c-619e373897a9\n", "\n", "Himawari\n", "\n", - "\n", + "\n", "\n", - "ACCESS_Analysis_a912c294-fc8e-4fa2-9694-8b2e0647d135\n", + "ACCESS_Analysis_960661ea-135a-4d66-bb7d-33cdb50f0559\n", "\n", "ACCESS.ACCESS_Analysis\n", "\n", - "\n", + "\n", "\n", - "Rainfields3_426576b3-559c-45a4-af2f-ae89b4f835c3\n", + "Rainfields3_f149a3d8-94c6-48b5-bc6b-73bdfb857dbc\n", "\n", "_.Rainfields3\n", "\n", @@ -1160,7 +1168,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1606,35 +1614,35 @@ " source: rainfields 3.2.4 drs-rainfields 2021-02-02\n", " station_id: 310\n", " station_name: Ausm310\n", - " title: Bias Corrected Rainfall Rate Mosaic" ], @@ -2109,7 +2117,7 @@ "\tSteps \n", "\t\t Himawari {'Himawari': {'data_interval': "(10, 'm')", 'file_regex': "'*{date_info}*{time_info}*.nc'", 'variables': "['surface_global_irradiance']"}}\n", "\t\t ACCESS.ACCESS_Analysis {'ACCESS_Analysis': {'data_interval': "(6, 'h')", 'datatype': "'an'", 'level_value': 'None', 'region': "'g'", 'variables': "['sfc/mslp']"}}\n", - "\t\t join.InterpLike {'InterpLike': {'merge_kwargs': 'None', 'method': "'nearest'", 'reference_dataset': "<xarray.DataArray 'mslp' (latitude: 295, longitude: 252)> Size: 297kB\\ndask.array<getitem, shape=(295, 252), dtype=float32, chunksize=(295, 252), chunktype=numpy.ndarray>\\nCoordinates:\\n time datetime64[ns] 8B 2021-06-09T06:00:00\\n * latitude (latitude) float32 1kB -10.02 -10.14 -10.25 ... -44.36 -44.47\\n * longitude (longitude) float32 1kB 112.1 112.2 112.4 ... 155.8 156.0 156.2\\nAttributes:\\n grid_type: spatial\\n level_type: single\\n units: Pa\\n long_name: mean sea level pressure\\n stash_code: 16222\\n accum_type: instantaneous", 'reference_index': 'None'}}