Projects funded by the NCN
What are spatial and temporal trends of natural and anthropogenic influences on PM2.5 concentrations in Europe under changing climate and emissions? An explainable machine learning approach
2024/53/N/ST10/03525
Keywords:
air pollution modelling explainable machine learning particulate matter Europe impact trends climate changes
Descriptors:
- ST10_1: Chemistry and physics of the atmosphere, atmospheric pollution
- ST10_2: Climatology, meteorology, climate change
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Panel:
ST10 - Earth sciences: Earth system science, atmospheric sciences, climatology, geochemistry, geodesy, geoecology, geophysics, physical geography, geoinformatics, planetary geology, pedology, mining, chemical and physical oceanology, environmental protection
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 23 - announced on 2024-03-21
Amount awarded: 159 773 PLN
Project start date (Y-m-d): 2025-01-27
Project end date (Y-m-d): 2028-01-26
Project duration:: 36 months (the same as in the proposal)
Project status: Pending project
Project description
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