ABSTRACT:

The European Union Water JPI (http://www.waterjpi.eu/) has funded the project PROGNOS (Predicting In-Lake Responses to Change Using Near Real Time Models http://prognoswater.org/). PROGNOS developed an integrated approach that couples high frequency (HF) lake monitoring data to dynamic lake water quality models to forecast short-term changes in lake water quality. Here we provide an archive the the HF monitoring data sets that were used by PROGNOS project Partner NIVA (Norwegian Institute for Water Research) to calibrate and verify the performance of the GOTM (https://gotm.net/) and SELMA models that are coupled by the frame work for aquatic biogeochemical models (https://github.com/fabm-model).

Data were collected from two sources:
a) NIVA's Langtjern monitoring site (http://aquamonitor.no)
b) Publicly available data from the Norwegian Meteorological office (https://thredds.met.no/thredds/catalog.html)

HF frequency data encompasses, at least, from August 2014 to August 2017, except for the carbon concentration at the outlet of the lake where only data until August 2016 was available.