Model-Data Fusion for improving quantification of methane fluxes from wetlands with LPJ-GUESS

Scholze, Marko (Researcher)
Lindström, Johan (Researcher)
Rinne, Janne (Researcher)
Holst, Jutta (Researcher)
Monteil, Guillaume (Researcher)
Theanutti, Jalisha (Research student)

Project: Research

Description

This project is financed by the Strategic Research Area BECC.

Acronym	CH4DAS
Status	Finished
Effective start/end date	2018/12/01 → 2023/11/30

1 Doctoral Thesis (compilation)

Predict with Confidence: Application of a Bayesian-Based Assimilation Framework to Optimise Wetland CH4 Emissions from a Terrestrial Ecosystem
Theanutti, J., 2024 Nov 1, Lund : Lund University. 229 p.
Research output: Thesis › Doctoral Thesis (compilation)

ICOS Carbon Portal
Vermeulen, A. (Manager) & Lankreijer, H. (Manager)
Dept of Physical Geography and Ecosystem Science
Infrastructure
ICOS Sweden (Integrated Carbon Observation System)
Holst, J. (Manager) & Arnold, T. (Contact)
Centre for Environmental and Climate Science (CEC)
Infrastructure
Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS)
Pugh, T. (Manager) & Miller, P. (Manager)
MERGE: ModElling the Regional and Global Earth system
Infrastructure

1 Supervision of PhD students
1 Presentation

POSTER: Optimising the CH4 simulations from LPJ-GUESS for the Scandinavian wetlands
Theanutti, J. (Presenter)
2022 May 16
Activity: Talk or presentation › Presentation
Model-Data Fusion for improving quantification of methane fluxes from wetlands with LPJ-GUESS
Scholze, M. (First/primary/lead supervisor), Rinne, J. (Second supervisor), Lindström, J. (Third supervisor) & Tang, J. (Supervisory team member)
2019 Aug 1 → …
Activity: Examination and supervision › Supervision of PhD students