More verbose variable names (#21)

* use verbose variable names

* some breathing space

Author: navidcy

Recipes/AUS2200_xarray_rolling.ipynb

@@ -1186,7 +1186,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "def load_aus2200_variable(vnames, t1, t2, exp_id, lon_slice, lat_slice, freq, hgt_slice=None, chunks=\"auto\"):\n",
+    "def load_aus2200_variable(vnames, start_time, end_time, exp_id, lon_slice, lat_slice, freq, hgt_slice=None, chunks=\"auto\"):\n",
     "\n",
     "    '''\n",
     "    Load variables from the mjo-enso AUS2200 experiment, stored on the ua8 project\n",
@@ -1195,9 +1195,9 @@
     "\n",
     "    * vnames: list of names of aus2200 variables\n",
     "\n",
-    "    * t1: start time in %Y-%m-%d %H:%M\"\n",
+    "    * start_time: start time in %Y-%m-%d %H:%M\"\n",
     "\n",
-    "    * t2: start time in %Y-%m-%d %H:%M\"\n",
+    "    * end_time: end time in %Y-%m-%d %H:%M\"\n",
     "    \n",
     "    * exp_id: string describing the experiment. either 'mjo-elnino', 'mjo-lanina' or 'mjo-neutral'\n",
     "\n",
@@ -1219,10 +1219,10 @@
     "    #We are loading a list of files from disk using xr.open_mfdataset. This preprocessing \n",
     "    # just slices the lats, lons and levels we are interested in for each file, which is more efficient\n",
     "    def _preprocess(ds):\n",
-    "        ds = ds.sel(lat=lat_slice,lon=lon_slice)\n",
+    "        ds = ds.sel(lat=lat_slice, lon=lon_slice)\n",
     "        return ds\n",
     "    def _preprocess_hgt(ds):\n",
-    "            ds = ds.sel(lat=lat_slice,lon=lon_slice,lev=hgt_slice)\n",
+    "            ds = ds.sel(lat=lat_slice, lon=lon_slice, lev=hgt_slice)\n",
     "            return ds    \n",
     "    \n",
     "    out = []\n",
@@ -1233,33 +1233,35 @@
     "                                   chunks=chunks, \n",
     "                                   parallel=True, \n",
     "                                   preprocess=_preprocess_hgt, \n",
-    "                                   engine=\"h5netcdf\").sel(time=slice(t1,t2))\n",
+    "                                   engine=\"h5netcdf\").sel(time=slice(start_time, end_time))\n",
     "        else:\n",
     "            ds = xr.open_mfdataset(fnames,\n",
     "                                   chunks=chunks,\n",
     "                                   parallel=True,\n",
     "                                   preprocess=_preprocess,\n",
-    "                                   engine=\"h5netcdf\").sel(time=slice(t1,t2))\n",
+    "                                   engine=\"h5netcdf\").sel(time=slice(start_time, end_time))\n",
     "        out.append(ds[vname])\n",
     "        \n",
     "    return out\n",
     "\n",
     "#Define lat lon slices, equivalent to almost the entire AUS2200 domain\n",
-    "lon_slice = slice(108,159)\n",
-    "lat_slice = slice(-45.7,-6.831799)    \n",
+    "lon_slice = slice(108, 159)\n",
+    "lat_slice = slice(-45.7, -6.831799)    \n",
     "\n",
     "#Define times to slice\n",
-    "t1=\"2016-01-01 00:00\"\n",
-    "t2=\"2016-02-01 00:00\"\n",
+    "start_time=\"2016-01-01 00:00\"\n",
+    "end_time=\"2016-02-01 00:00\"\n",
     "\n",
     "#Load air temperature for a single model level (111.7 m)\n",
     "aus2200_ta = load_aus2200_variable([\"ta\"],\n",
-    "                                   t1,t2,\n",
+    "                                   start_time,\n",
+    "                                   end_time,\n",
     "                                   \"mjo-elnino\",\n",
-    "                                   lon_slice,lat_slice,\n",
+    "                                   lon_slice,\n",
+    "                                   lat_slice,\n",
     "                                   \"1hr\",\n",
-    "                                   hgt_slice=slice(100,120),\n",
-    "                                   chunks=({\"time\":6,\"lat\":-1,\"lon\":-1}) \n",
+    "                                   hgt_slice=slice(100, 120),\n",
+    "                                   chunks=({\"time\":6, \"lat\":-1, \"lon\":-1}) \n",
     "                                  )[0]\n"
    ]
   },