Modelled hydrodynamic profiles and salmon louse larval densities at Norwegian salmon farms

Data compiled for use by the PreventLice web app, a decision support tool intended to help Norwegian salmon farmers avoid salmon louse infestations: https://havforskningsinstituttet.shinyapps.io/preventlice

Each file contains the relevant data for a registered salmonid farm in Norway, identified by its locality number according to the Norwegian Aquaculture Registry. A total of 1023 localities are included in version 1.0.0.

The data are in long rectangular format, with each row corresponding to a single depth interval on a single date. Each row provides variables for locality number ("loc"), date ("date"), depth (m, "depth"), daily mean temperature (°C, "meanTemp"), daily mean salinity (ppt, "meanSal"), daily mean current speed (ms^-1, "meanCurrSpd"), daily 95th percentile current speed (ms^-1, "95PercCurrSpd"), daily salmon louse infestation pressure (copepodids m^-3, "meanCopDensity"), and daily mean significant wave height (m, "SignWaveHeight").

Temperature, salinity and current speeds are taken from the NorFjords-160 model (Dalsøren et al. 2020), a finer-scale update of the NorKyst-800 model (Asplin et al. 2020). Wave height data are taken from the MyWaveWAM800m Norwegian coastal wave forecasting system (Norwegian Meteorological Institute). Salmon louse copepodid densities are estimated by coupling louse biology and behaviour parameters with hydrodynamic predictions from NorKyst-800 (Myksvoll et al. 2018).