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@@ -39,11 +39,11 @@ The OBSALL application is currently being developed as a set of scripts (written
 3. `amsua_obs.sh` - bash-script to prepare a metadata file for computation of AMSU-A model counterparts from preprocessed hourly GSV data. It runs depending on the type of climate simulation: (i) reality following data assimilation-like, and (ii) free running climate simulation. For (i) the one-to-one model counterparts can be produced, so actual metadata from AMSU-A observations in the vicinity of the selected location are extracted from ODB. This is done with `filter_data_v3.py` For (ii) the model output can be compared to observations only in climatological terms, so metadata is written only for the centre point of the selected area.
 4. `amsua_mod.sh` - bash-script to run the `Radiance Simulator` tool with pre-described control configuration parameters and to produce a model counterpart (file in netcdf-format), which (using `convert_netcdf2txt.py`) is converted to (temporary) dat-file and added (using `import` with `odb_api`) to ODB.
 5. `amsua_stats.sh` - bash-script to run (addtional `bash`, `fortran`, `python` scripts) calculating/producing:
-- (i) rank histograms for all locations-areas from satellite observations for daily mean values of brightness temperature (with `produce_rank_histograms_all_locations.sh`, using `rank_histograms_one_location.f95` and `sql/import` with `odb_api`),
-- (ii) standard plots for each location-area from satellite observations (with `produce_standard_plots_all_locations.sh` using `plot_quantiles_rankhist_amsua.py` and  `sql` with `oadb_api`; see an example of such plot in **Figure 3a**), and
-- (iii) summary rank histograms for locations-areas from satellite observations (`summary_rank_histograms_all_locations.sh` using `rank_histogram_sumstats_locations.f95`, `plot_p_values_map_amsua.py`, `plot_rankhist_sum_all_locations.py` and `sql` with `odb_api`; see examples of such plots in **Figure 3b** and **Figure 3c**).
-- Note, needed input includes: list of locations-areas from satellite observations with geographical coordinates, modelled data over geographical locations-areas coordinates at sfc-, pl-, and o2d-levels, pre-computed quantiles as a function of time of year and rank histogram bootstrap mean square deviation (MSD) values.
-- ![Semantic description of image](FIGSEXAMPLES/destine_obs_satellite_figs.jpg "Plots for brightness temperature /AMSU-A Channel 5/ for selected geographical location-area /a00/")* Plots for brightness temperature /AMSU-A Channel 5/ for selected geographical location-area /a00/ for period of 1 Jan - 31 Dec 2016: **Figure 3a** - Quantiles/ time series data and rank histogram for daily mean brightness temperature for location-area /a00/; **Figure 3b** - P-values for brightness temperature quantiles for locations-areas; **Figure 3c** - Rank histogram summary statistics for brightness temperature for locations-areas: normalized p-value frequencies and normalized quantile frequencies*
+- (i) rank histograms for all areas from satellite observations for daily mean values of brightness temperature (with `produce_rank_histograms_all_locations.sh`, using `rank_histograms_one_location.f95` and `sql/import` with `odb_api`),
+- (ii) standard plots for each area from satellite observations (with `produce_standard_plots_all_locations.sh` using `plot_quantiles_rankhist_amsua.py` and  `sql` with `oadb_api`; see an example of such plot in **Figure 3a**), and
+- (iii) summary rank histograms for areas from satellite observations (`summary_rank_histograms_all_locations.sh` using `rank_histogram_sumstats_locations.f95`, `plot_p_values_map_amsua.py`, `plot_rankhist_sum_all_locations.py` and `sql` with `odb_api`; see examples of such plots in **Figure 3b** and **Figure 3c**).
+- Note, needed input includes: list of locations for areas from satellite observations with geographical coordinates, modelled data over geographical areas coordinates at sfc-, pl-, and o2d-levels, pre-computed quantiles as a function of time of year and rank histogram bootstrap mean square deviation (MSD) values.
+- ![Semantic description of image](FIGSEXAMPLES/destine_obs_satellite_figs.jpg "Plots for brightness temperature /AMSU-A Channel 5/ for selected geographical area /a00/")* Plots for brightness temperature /AMSU-A Channel 5/ for selected geographical area /a00/ for period of 1 Jan - 31 Dec 2016: **Figure 3a** - Quantiles/ time series data and rank histogram for daily mean brightness temperature for area /a00/; **Figure 3b** - P-values for brightness temperature quantiles for areas; **Figure 3c** - Rank histogram summary statistics for brightness temperature for areas: normalized p-value frequencies and normalized quantile frequencies; Note: on Figure 3b the plotted dot as a colored circle represents the central point (70 N, 45 E) of the area a00, which is situated within boundaries of [69.5, 70.5] N and [43.5, 46.5] E*
 
 
 # Installation