Tutorials

The following tutorials describe how to setup the wavy config files, to retrieve satellite and insitu data, to perform collocation and validation tasks. wavy is intended to be fleksibel such that customization can be achieved with minimal changes in the code. The wavy config files build the fundament for this approach and serve a similar purpose as namelist files often used for runtime changes in numerical modelling.

In general, executable files usually have help function which can be read using e.g.:

$ ./{Executable}.py --help

e.g.:

$ cd ~/wavy/wavy/apps
$ ./wavyDownload.py --help

• Setting up a project and wavy config files
  • Setup
  • On the config files
• Use satellite data
  • Download Satellite data
  • Import Satellite data
  • Importing multiple satellite products
  • Define regions of interest
  • Apply filters
• Read model data
• Read in-situ observations (netcdf/thredds, FROST API)
  • make a FROST call
  • read .nc-files
• Follow storm track
• Consolidate multiple retrievals
• Collocating model output and observations
  • Collocation of satellite and wave model
  • Collocation of in-situ data and wave model
• Validate the collocated time series
• Validation metrics
• Triple Collocation
  • Method
  • Example with wavy
  • References
• Gridded satellite observations and statistics
  • Gridding of satellite observations
  • Gridding of collocated data
• Retrieve AIS
• wavy on WEkEO

# tutorials_quicklooks