Loading doc/source/gridding.rst +13 −4 Original line number Diff line number Diff line Loading @@ -94,12 +94,21 @@ The result could be viewed in a browser: Averages over time ================== The gridded fields have a time dimension, and therefore a temporal average could be produced using the NCO tools:: The gridded fields could be averaged in time in the following ways. * The :py:class:`CSO_GriddedAverageMeans` is available to create temporal means of gridded averages. With this class, the means are calculated as weighted averages where the pixel overlap is used as weights. * The gridded fields have a time dimension, and therefore a temporal average could be produced using the nco tools:: ncra CSO_output_20180601_??00_gridded.nc CSO_output_20180601_aver_gridded.nc The result can be visualized using the catalogue tools. This average will not take into account the pixel overlap as weight. The result can be visualized using the :py:class:`.CSO_GriddedCatalogue` class. .. figure:: figs/NO2/S5p_RPRO_NO2_20180601_aver_gridded_yr.png :scale: 50 % Loading py/cso_gridded.py +375 −70 File changed.Preview size limit exceeded, changes collapsed. Show changes Loading
doc/source/gridding.rst +13 −4 Original line number Diff line number Diff line Loading @@ -94,12 +94,21 @@ The result could be viewed in a browser: Averages over time ================== The gridded fields have a time dimension, and therefore a temporal average could be produced using the NCO tools:: The gridded fields could be averaged in time in the following ways. * The :py:class:`CSO_GriddedAverageMeans` is available to create temporal means of gridded averages. With this class, the means are calculated as weighted averages where the pixel overlap is used as weights. * The gridded fields have a time dimension, and therefore a temporal average could be produced using the nco tools:: ncra CSO_output_20180601_??00_gridded.nc CSO_output_20180601_aver_gridded.nc The result can be visualized using the catalogue tools. This average will not take into account the pixel overlap as weight. The result can be visualized using the :py:class:`.CSO_GriddedCatalogue` class. .. figure:: figs/NO2/S5p_RPRO_NO2_20180601_aver_gridded_yr.png :scale: 50 % Loading