Quick start
- Prepare the environment:
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Install libraries (if not installed):
- pandas
- scipy
- numpy
- configparser
- Get the gfortran compiler:
- Download SELENE to your file system:
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Prepare FORTRAN foreman script:
- Go to /SELENE/foreman and compile predicc.f with gfortran and options -fno-automatic, -ffixed-line-lenght-132 and -O2
- Give execution permissions to predicc.e (+755)
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Configure SELENE:
- Edit /SELENE/configuration/config.ini to indicate where is foreman and outputs folder
- Edit /SELENE/configuration/stations.json to add stations and related parameters
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Prepare original sea level data series:
Copy sea level time series files to data files folder (these files are configured in stations.json)
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Run SELENE:
python selene.py [station_id]
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Visualize results with SELENE:
python selenevis.py -station [station_id]
Display of the output files of SELENE software applied to Melilla Tide Gauge (REDMAR network) data in July 2018: top: original data (1-min) with QC flags (in red the bad data detected by the software); center: two by-products generated by SELENE: 5-min interpolated time series and hourly values (orange); bottom: final by-product generated if harmonic constants are available, the hourly residual for the analyzed period