Dahl Lilja

BSc. in Chemistry and MSc. in Climate Change

Inverse modelling, GHG emissions,
Modena, Italy
Researchgate

Improved estimate of GHG emissions in the Po Valley by inverse modelling

Curricula:
CU1
Supervisor:
Alessandro Bigi
Affiliation:
Università di Modena e Reggio Emilia
Langues:
English, Italian, Faroese, Danish, Norwegian
PhD SDC:

About me

A passionate PhD candidate from the Faroe Islands with an interdisciplinary understanding of the Earth system, environment, and climate change. Focused research on atmospheric composition through the study of atmospheric species' source-receptor relationships. Curious to find innovative ways to manage the challenge of curbing emissions of GHG and atmospheric pollutants to improve current emission inventories, following a top-down approach.

My research

The aim of my research is to study methane (CH4) emissions over the Po Valley by inverse modeling and to investigate the uncertainty of our current knowledge of CH4 estimates and source locations. A Bayesian inversion framework (FlexInvert+) is used to address the inverse problem by combining available ground-based and satellite measurements, simulations from an atmospheric transport and dispersion model (FlexPart), and CH4 emission inventory.