Guidance on monitoring and data assimilation

Research output: Contribution to journalArticlepeer-review


  • Juhani Lahtinen
  • Helle Karina Aage
  • Alexandra Ammann
  • Jan Erik Dyve
  • S. Hoe
  • Carlos Rojas Palma
  • Wirth E.

Institutes & Expert groups

  • STUK - Radiation and Nuclear Safety Authority - Finland
  • Danish Emergency Management Agency
  • NPRA - Norwegian Radiation Protection Authority
  • Bfs - Bundesamt Für Strahlenschutz - Federal Office for Radiation Protection

Documents & links



ecision makers must react in a prompt and appropriate manner in various emergency situations. The bases for decisions are often predictions produced with decision support systems (DSS). Actual radiation measurement data can be used to improve the reliability of the predictions. Data assimilation is an important link between model calculations and measurements and thus decreases the overall uncertainty of the DSS predictions. However, different aspects have to be taken into account for the optimal use of the data assimilation technique: different countries may have differing measurement strategies and systems as well as differing calculation models. The scenario and the amount and composition of radionuclides released may vary. In this paper we analyse the situation during and after an accident and draw up a list of recommendations that can help modellers to take into account the measurements that are best suited for data assimilation.


Original languageEnglish
Pages (from-to)161-169
Issue number5
Publication statusPublished - 16 Sep 2010


  • DSS, Decision support systems, Measurements

ID: 6854062