A5037040137- Atmospheric and Environmental Gas Dynamics
- Hydrocarbon exploration and reservoir analysis
- Peatlands and Wetlands Ecology
- Climate change and permafrost
- Methane Hydrates and Related Phenomena
- Atmospheric chemistry and aerosols
- Climate variability and models
- Atmospheric Ozone and Climate
- Geophysics and Gravity Measurements
- Environmental Impact and Sustainability
- Cryospheric studies and observations
- Forest Management and Policy
- Healthcare Systems and Challenges
- Clinical Nutrition and Gastroenterology
- Earthquake Detection and Analysis
- Social Acceptance of Renewable Energy
- Fire effects on ecosystems
Finnish Meteorological Institute
2021-2025
Abstract. Wetland methane responses to temperature and precipitation are studied in a boreal wetland-rich region northern Europe using ecosystem process models. Six models (JSBACH-HIMMELI, LPX-Bern, LPJ-GUESS, JULES, CLM4.5, CLM5) compared multi-model means of atmospheric inversions from the Global Carbon Project upscaled eddy covariance flux results for their seasonal cycles regional fluxes. Two with contrasting response patterns, LPX-Bern JSBACH-HIMMELI, used as priors Tracker Europe–CH4...
Abstract. Wetland methane responses to temperature and precipitation were studied in a boreal wetland-rich region Northern Europe using ecosystem process models. Six models (JSBACH-HIMMELI, LPX-Bern, LPJ-GUESS, JULES, CLM4.5 CLM5) compared multi-model mean of atmospheric inversions from the Global Carbon Project up-scaled eddy covariance flux results for their seasonal cycles regional fluxes. Two with contrasting response patterns, LPX-Bern JSBACH-HIMMELI, used as priors Tracker – CH4 order...
Abstract. Accurate national methane (CH4) emission estimates are essential for tracking progress towards climate goals. This study investigated Finnish CH4 emissions from 2000–2021 using bottom-up and top-down approaches. We evaluated the ability of a global atmospheric inverse model CarbonTracker Europe – to estimate within single country. focused on how different priors their uncertainties affect optimised showed that anthropogenic natural were strongly dependent prior emissions. However,...
The northern high latitudes (NHLs) are undergoing rapid environmental changes with global warming, which may trigger feedback mechanisms that amplify natural methane emissions from wetlands and increase contributions wildfires. Studying year-to-year variations in these can provide understanding of the key factors driving fluxes. In addition, NHLs produce substantial fossil fuel production. However, spatial heterogeneity overlap sources region complicates attribution to specific...
The northern wetland methane emission estimates have large uncertainties. Inversion models are a qualified method to estimate the fluxes and emissions in latitudes but when atmospheric observations sparse, only as good their priori estimates. Thus, improving is competent way reduce uncertainties enhance sparsely sampled regions. Here, we use novel integrate remote sensing soil freeze/thaw (F/T) status from SMOS satellite better capture seasonality of high latitude. F/T data provide daily...
Abstract. Satellite-driven inversions provide valuable information about methane (CH4) fluxes, but the assimilation of total column-averaged dry-air mole fractions CH4 (XCH4) has been challenging. This study explores, for first time, potential new lower tropospheric partial column (pXCH4_LT) GOSAT data, retrieved by Japan Aerospace Exploration Agency (JAXA), to constrain global and regional fluxes. Using CarbonTracker Europe-CH4 atmospheric inverse model, we estimated fluxes between...
Abstract. Monitoring the spatial distribution and trends in surface greenhouse gas (GHG) fluxes, as well flux attribution to natural anthropogenic processes, is essential track progress under Paris Agreement inform its global stocktake. This study updates earlier syntheses (Petrescu et al., 2020, 2021, 2023), provides a consolidated synthesis of CH4 emissions using bottom-up (BU) top-down (TD) approaches for European Union (EU), expanded include seven additional countries with large and/or...
Abstract. Monitoring the spatial distribution and trends in surface greenhouse gas (GHG) fluxes, as well flux attribution to natural anthropogenic processes, is essential track progress under Paris Agreement inform its Global Stocktake. This study updates earlier syntheses (Petrescu et al., 2020, 2021, 2023) provides a consolidated synthesis of CH4 emissions using bottom-up (BU) top-down (TD) approaches for European Union (EU) seven additional countries with large and/or (USA, Brazil, China,...
Accurate estimation of critical greenhouse gas fluxes, particularly carbon dioxide (CO2) and methane (CH4), is vital for shaping effective climate change policies. Leveraging the state-of-the-art Community Inversion Framework (CIF), we estimate high-resolution emissions across Europe (-12°E to 37°E, 35°N 73°N). Using Lagrangian Particle Dispersion Model (FLEXPART) with ECMWF meteorological data, calculate surface flux footprints at 0.2° ×...
Drivers of natural high-latitude biogenic methane fluxes were studied by combining atmospheric inversion modelling results (CTE-CH4 model) with datasets on permafrost (ESA Permafrost CCI), climate (Köppen–Geiger classes) and wetland classes (BAWLD) seasonality soil freezing SMOS F/T) for the years 2011–2019. The highest emissions found in southern parts study region, while areas continuous permafrost, tundra climate, wetlands had lowest emissions. magnitude flux per area followed order zones...
Climate change mitigation requires countries to report their annual greenhouse gas (GHG) emissions and sinks, including those from land use, use change, forestry (LULUCF). In Finland, the LULUCF sector plays a crucial role in achieving net-zero GHG emissions, as is expected be net sink. However, accurate estimates of LULUCF-related such methane (CH4), remain challenging. We estimated CH4 Finland 2013–2020 by combining national cover remote-sensed surface wetness data with an inversion model....
Table S1.Continuation to the 1 "List of inversion setups".
Abstract. Accurate national methane (CH4) emission estimates are essential for tracking progress towards climate goals. This study investigated Finnish CH4 emissions from 2000–2021 using bottom-up and top-down approaches. We evaluated a global atmospheric inversion model’s ability to estimate within single country, focusing on how the choice of priors uncertainties affected optimised emissions. The anthropogenic natural strongly depended prior While range was large, were more constrained...
This paper presents plans and efforts on European Union (EU) Member States (MSs) (including Norway Iceland)-specific support for monitoring emissions removals from land use, use change forestry (LULUCF) which are built existing forthcoming Copernicus data services. Land between uses mapped using at top level appropriate sub-categories in accordance to the current Intergovernmental Panel Climate Change (IPCC) guidelines allow MSs calculate greenhouse gas (GHG) removals. We discuss findings...