diff --git a/README.md b/README.md
index b9501fd6e019013d3a6c862087db9fa81b38c7fe..c9d0db5435a495353677d8ac3bec1dfdbbafae37 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ The OBSALL application is currently being developed as a set of scripts (written
 6. `synop_stats.sh` - bash-script to run (addtional `bash`, `fortran`, `python` scripts) calculating/producing:
 - (i) rank histograms for all synop stations for 00, 06, 12 and 18 UTCs (with `produce_rank_histograms_all_stations.sh`, using `rank_histograms_one_station.f95` and `sql/import` with `odb_api`), 
 - (ii) standard plots for each synop station (with `produce_standard_plots_all_stations.sh` using `plot_quantiles_rankhist_synop.py` and  `sql` with `odb_api`; see an example of such plot in **Figure 1a**), and 
-- (iii) summary rank histograms for all stations (`summary_rank_histograms_all_stations.sh` using `rank_histogram_summary_statistics.f95`, `plot_p_values_map_synop.py`, `plot_rank_hist_sum_all_stations.py` and `sql` with `odb_api`; see examples of such plots in **Figure 1b** and **Figure 1c**). 
+- (iii) summary rank histograms for all stations (`summary_rank_histograms_all_stations.sh` using `rank_histogram_summary_statistics.f95`, `plot_p_values_map_synop.py`, `plot_rankhist_sum_all_stations_synop.py` and `sql` with `odb_api`; see examples of such plots in **Figure 1b** and **Figure 1c**). 
 - Note, needed input includes: list of synop stations with geographical coordinates, modelled data at stations coordinates, 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_synop_figs.jpg "Plots for 2 m air temperature ")* Plots for 2 metre air temperature (T2m) for period of 1 Jan - 31 Dec 2020: **Figure 1a** - Quantiles/ time series data (00, 06, 12, and 18 UTCs) and rank histogram (combination of 00, 06, 12, and 18 UTCs) for synop station 126736; **Figure 1b** - P-values for T2m quantiles; **Figure 1c** - Rank histogram summary statistics: normalized p-value frequencies and normalized quantile frequencies*
 
@@ -29,7 +29,7 @@ The OBSALL application is currently being developed as a set of scripts (written
 5. `radsound_stats.sh` - bash-script to run (addtional `bash`, `fortran`, `python` scripts) calculating/producing:
 - (i) rank histograms for all radiosounding stations for 00 and 12 UTCs (with `produce_rank_histograms_all_stations.sh`, using `rank_histograms_one_station.f95` and `sql/import` with `odb_api`),
 - (ii) standard plots for each radiosounding station (with `produce_standard_plots_all_stations.sh` using `plot_quantiles_rankhist_temp.py` and  `sql` with `odb_api`; see an example of such plot in **Figure 2a**), and
-- (iii) summary rank histograms for all radiosunding stations (`summary_rank_histograms_all_stations.sh` using `rank_histogram_summary_statistics.f95`, `plot_p_values_map_temp.py`, `plot_rank_hist_sum_all_stations.py` and `sql` with `odb_api`; see examples of such plots in **Figure 2b** and **Figure 2c**).
+- (iii) summary rank histograms for all radiosunding stations (`summary_rank_histograms_all_stations.sh` using `rank_histogram_summary_statistics.f95`, `plot_p_values_map_temp.py`, `plot_rankhist_sum_all_stations_temp.py` and `sql` with `odb_api`; see examples of such plots in **Figure 2b** and **Figure 2c**).
 - Note, needed input includes: list of radiosounding stations with geographical coordinates, modelled data at stations coordinates at 2 metre height and at 850 hPha pressure level, 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_radsound_figs.jpg "Plots for difference between air temperature at 2 m and 850 hPa pressure level: T2-T850")* Plots for difference in air temperatures at 2 metre and at 850 Ha pressure level (T2-T850) for period of 1 Jan - 31 Dec 2010: **Figure 2a** - Quantiles/ time series data and rank histogram (00 and 12 UTCs) for radiosounding station 51431; **Figure 2b** - P-values for T2-T850 quantiles; **Figure 2c** - Rank histogram summary statistics for 00 and 12 UTCs: normalized p-value frequencies and normalized quantile frequencies*
 
@@ -41,7 +41,7 @@ The OBSALL application is currently being developed as a set of scripts (written
 5. `amsua_stats.sh` - bash-script to run (addtional `bash`, `fortran`, `python` scripts) calculating/producing:
 - (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 `odb_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**).
+- (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_areas_amsua.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*