Update README

More information explaining how the datasets can be obtained is added.

Also the link to the third result file is updated.

Author: markusReinert

README.md

@@ -12,19 +12,21 @@ version of this repository (v1.0.0) with the DOI
 [10.5281/zenodo.5107019](https://doi.org/10.5281/zenodo.5107019).
 
 Note that the data used in the manuscript cannot be published here for
-copyright reasons and needs to be obtained separately.  The surge
-dataset of the authors can be obtained from the corresponding author
-upon request.  The GESLA-2 surge dataset of Woodworth et al. (2017) can
-be obtained from the website https://gesla.org/, as explained in
-[tools_GESLA.py](tools_GESLA.py).  The climate index data (for example
-NAO) can be obtained from https://psl.noaa.gov/gcos_wgsp/Timeseries/, as
-explained in [tools_climate.py](tools_climate.py).
+copyright reasons, and thus needs to be obtained separately.  The surge
+levels at Brest can be computed from the tide gauge measurements
+published on the website https://data.shom.fr/, using the method
+described in the manuscript, or can be obtained from the corresponding
+author upon request.  The GESLA-2 surge dataset of Woodworth et
+al. (2017) can be obtained from the website https://gesla.org/, as
+explained in [tools_GESLA.py](tools_GESLA.py).  The climate index data
+(for example NAO) can be obtained from
+https://psl.noaa.gov/gcos_wgsp/Timeseries/, as explained in
+[tools_climate.py](tools_climate.py).
 
 Given the datasets, the main results of the manuscript can be reproduced
-with the scripts of [Method 1](Method_1_sliding_window_analysis.py) and
-[Method 2](Method_2_monthly_analysis.py).  The analysis presented in the
-Discussion can be reproduced with the
-[Outlook script](Outlook_winter_shift_in_other_stations.py).
+with the scripts for [Method 1](Method_1_sliding_window_analysis.py),
+[Method 2](Method_2_monthly_analysis.py), and
+[different stations](Result_winter_shift_in_different_stations.py).
 The parameter estimates of the full time-dependent GEV model can be
 calculated with the script
 [Time-dependent_GEV_fit_with_NAO.py](Time-dependent_GEV_fit_with_NAO.py).