Thesis supervisor: Zoltán Barcza
co-supervisor: Nándor Fodor
Location of studies (in Hungarian): Department of Meteorology, Eötvös Loránd University Abbreviation of location of studies: ELTE
Description of the research topic:
In the context of climate change, it is essential to understand the risks and processes related to arable crops and food security. It is also highly relevant to quantify the role of agriculture in terms of greenhouse gas emissions. However, the biogeochemical processes associated with arable crop production are not known with sufficient accuracy. The aim of the proposed work is to estimate the productivity and greenhouse gas balance of agricultural crops using the so-called Biome-BGCMuSo model. In the planned research, eddy covariance measurements and data from long term field experiments will be used to optimize the selected model. The usefulness of the Conditional Interval Reduction Method (CIRM) for parameter estimation will be investigated. We analyse the spatial and temporal variability of the model parameters. The work contributes to the refinement of the biospheric greenhouse gas balance of Hungary.
Required language skills: English Further requirements: programming skills
Number of students who can be accepted: 1
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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