CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High …

A Tsuruta, E Kivimäki, H Lindqvist, T Karppinen… - Remote Sensing, 2023 - mdpi.com
Recent advances in satellite observations of methane provide increased opportunities for
inverse modeling. However, challenges exist in the satellite observation optimization and …

Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019

S Wittig, A Berchet, I Pison, M Saunois… - Atmospheric …, 2023 - acp.copernicus.org
The Arctic is a critical region in terms of global warming. Environmental changes are already
progressing steadily in high northern latitudes, whereby, among other effects, a high …

Utilizing earth observations of soil freeze/thaw data and atmospheric concentrations to estimate cold season methane emissions in the northern high latitudes

M Tenkanen, A Tsuruta, K Rautiainen, V Kangasaho… - Remote Sensing, 2021 - mdpi.com
The northern wetland methane emission estimates have large uncertainties. Inversion
models are a qualified method to estimate the methane fluxes and emissions in northern …

Detecting Methane Emissions from Space Over India: Analysis Using EMIT and Sentinel-5P TROPOMI Datasets

A Siddiqui, S Halder, HBS Kannemadugu… - Journal of the Indian …, 2024 - Springer
Methane (CH4) is a potent greenhouse gas and the second highest anthropogenic
emissions are recorded from CH4 on Earth. Considering its high global warming potential …

European CH inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell

M Steiner, W Peters, I Luijkx, S Henne… - Atmospheric …, 2024 - acp.copernicus.org
We present the first application of the ICOsahedral Nonhydrostatic model with Aerosols and
Reactive Trace gases (ICON-ART) in inverse modeling in inverse modeling of greenhouse …

Pore network modeling as a new tool for determining gas diffusivity in peat

P Kiuru, M Palviainen, A Marchionne… - …, 2022 - bg.copernicus.org
Peatlands are globally significant carbon stocks and may become major sources of the
greenhouse gases (GHGs) carbon dioxide and methane in a changing climate and under …

[HTML][HTML] Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions

MK Tenkanen, A Tsuruta, V Tyystjärvi, M Törmä, I Autio… - Remote Sensing, 2023 - mdpi.com
Climate change mitigation requires countries to report their annual greenhouse gas (GHG)
emissions and sinks, including those from land use, land use change, and forestry …

Environmental and Seasonal Variability of High Latitude Methane Emissions Based on Earth Observation Data and Atmospheric Inverse Modelling

A Erkkilä, M Tenkanen, A Tsuruta, K Rautiainen… - Remote Sensing, 2023 - mdpi.com
Drivers of natural high-latitude biogenic methane fluxes were studied by combining
atmospheric inversion modelling results of methane fluxes (CTE-CH4 model) with datasets …

Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 …

V Mannisenaho, A Tsuruta, L Backman, S Houweling… - Atmosphere, 2023 - mdpi.com
This study investigates atmospheric δ 13 CH 4 trends, as produced by a global atmospheric
transport model using CH 4 inversions from CarbonTracker-Europe CH 4 for 2000–2020 …

The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model …

V Kangasaho, A Tsuruta, L Backman, P Mäkinen… - Atmosphere, 2022 - mdpi.com
This study investigates the contribution of different CH4 sources to the seasonal cycle of δ
13 C during 2000–2012 by using the TM5 atmospheric transport model, including spatially …