Improving Model Simulations of Volcanic Emission Clouds and Assessing Model Uncertainties
- Autor(en)
- Nina Iren Kristiansen, Delia Arnold, Christian Maurer, Julius Vira, Razvañdulescu Ra, Damien Martin, Andreas Stohl, Kerstin Stebel, Mikhail Sofiev, Colin O'Dowd, Gerhard Wotawa
- Abstrakt
Volcanic emissions of ash and SO2 can be harmful to both human health, infrastructure, and aviation. In assessing these hazards, satellite remote sensing and transport modeling are useful tools. Satellite observations can track the volcanic clouds in the atmosphere, their main limitation being little vertical information. Transport models are used to forecast the three-dimensional atmospheric dispersion of the volcanic emissions, but large uncertainties are involved. The main sources of uncertainties are lacking knowledge of the emissions (source term), errors in the meteorological data driving the dispersion model, and the model's description of physical processes such as loss mechanisms. One of the keys for achieving more reliable simulations is incorporating observation data into the models. In this chapter, we demonstrate three techniques useful for enhancing model simulations and for evaluating model uncertainties. First, the source term can be constrained by satellite observations via inverse modeling. Second, errors in the transport model and input data can be corrected for with data assimilation by updating the modeled fields with up-to-date observations. Third, uncertainties can be inferred from ensemble modeling. The Grímsvötn 2011 eruption is used to demonstrate how these three techniques together can improve the model simulations of volcanic clouds and determine model uncertainties.
- Organisation(en)
- Institut für Meteorologie und Geophysik
- Externe Organisation(en)
- Norwegian Institute for Air Research, Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Finnish Meteorological Institute, National University of Ireland
- Seiten
- 105-124
- Anzahl der Seiten
- 20
- DOI
- https://doi.org/10.1002/9781119028116.ch8
- Publikationsdatum
- 11-2016
- Peer-reviewed
- Ja
- ÖFOS 2012
- 105206 Meteorologie
- ASJC Scopus Sachgebiete
- Allgemeine Erdkunde und Planetologie
- Sustainable Development Goals
- SDG 3 – Gesundheit und Wohlergehen
- Link zum Portal
- https://ucrisportal.univie.ac.at/de/publications/639380b1-d591-44c9-87ec-31022c922f9f