Human induced global climate change is the biggest challenge humankind faces today. Increasing amount of atmospheric greenhouse gases play a crucial role in the evolution of the climate. Without the understanding of the contributing processes, feedbacks and interactions we cannot predict the future changes and develop effective mitigation strategies. To decrease the uncertainty of the global studies detailed regional studies are needed surveying the regional characteristics of the atmospheric greenhouse gas budget and the influencing factors. ""Atmospheric Greenhouse Gases: The Hungarian Persp
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Acknowledgements PS, JFS, CC, NB, MK, CA and JO acknowledge support from the CIRCASA project which received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement n° 774378. The input of PS also contributes to the projects: DEVIL (NE/M021327/1), Assess-BECCS (funded by UKERC) and Soils-R7-GRREAT (NE/P019455/1). AS-C acknowledges support from the AGRISOST-CM project (S2018/BAA-4330) and MACSUR-JPI initiative, as well as the inspiration and support from the Spanish research networks REMEDIA and NUEVA. JA-F acknowledges support from Ministerio de Economia y Competitividad of Spain (project number AGL2017-84529-C3-1- R). The participation of NC and EW was funded as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), which is carried out with support from the CGIAR Trust Fund and through bilateral funding agreements (https://ccafs.cgiar.org/donors). The views expressed in this document cannot be taken to reflect the official opinions of the funding organizations. LS and SM acknowledge support from the New Zealand Agricultural Greenhouse Gas Research Centre and Global Research Alliance. This paper contributes to the work of the Soil Carbon Sequestration network of the Integrative Research Group of the Global Research Alliance on Agricultural Greenhouse Gases (https://globalresearchalliance.org/). ; Peer reviewed ; Publisher PDF
This book, which contains 17 chapters, presents an expert synthesis of greenhouse gas (GHG) sink science and how this applies to the past, current and future changes in climate. It also explores how the sinks may respond to increased GHG emissions and global temperatures, and whether they can be protected and even enhanced to help mitigate climatic change. The sinks discussed in this book are the planet's storage areas, where GHGs are locked away from the atmosphere and thus prevented from contributing to global warming. This book is a valuable resource for students, researchers and practitioners in conservation, ecology and environmental studies.
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Robust and sustained observations of atmospheric greenhouse gases like CO2 and CH4 are of great importance in order to understand the current state of the global carbon cycle and for the reliable prediction of climate change scenarios. The current observational network is largely a combination of ground-based stations, satellite instruments and research aircraft. In recent years, a new concept has emerged in the field of global atmospheric monitoring that uses the existing commercial aviation infrastructure and deploys hi-tech instruments onboard commercial airliners. These instruments make highly precise, in-situ observations of atmospheric species at a high spatial and temporal resolution while the aircraft performs its intended task of flying people from one part of the globe to the other. Vertical profiles are measured near airports and cruise level data are obtained in the UTLS (Upper Troposphere Lower Stratosphere) region, thus providing a rich and extensive dataset for studying the chemical and physical processes in the atmosphere.
Robust and sustained observations of atmospheric greenhouse gases like CO2 and CH4 are of great importance in order to understand the current state of the global carbon cycle and for the reliable prediction of climate change scenarios. The current observational network is largely a combination of ground-based stations, satellite instruments and research aircraft. In recent years, a new concept has emerged in the field of global atmospheric monitoring that uses the existing commercial aviation infrastructure and deploys hi-tech instruments onboard commercial airliners. These instruments make highly precise, in-situ observations of atmospheric species at a high spatial and temporal resolution while the aircraft performs its intended task of flying people from one part of the globe to the other. Vertical profiles are measured near airports and cruise level data are obtained in the UTLS (Upper Troposphere Lower Stratosphere) region, thus providing a rich and extensive dataset for studying the chemical and physical processes in the atmosphere.
In support of the Global Stocktake of the Paris Agreement on Climate change, this study presents a comprehensive framework to process the results of atmospheric inversions in order to make them suitable for evaluating UNFCCC national inventories of land-use carbon dioxide (CO 2 ) emissions and removals, corresponding to the Land Use, Land Use Change and Forestry and waste sectors. We also deduced anthropogenic methane (CH 4 ) emissions regrouped into fossil and agriculture and waste emissions, and anthropogenic nitrous oxide (N 2 O) emissions from inversions. To compare inversions with national reports, we compiled a new global harmonized database of national emissions and removals from periodical UNFCCC inventories by Annex I countries, and from sporadic and less detailed emissions reports by Non-Annex I countries, given by National Communications and Biennial Update Reports. The method to reconcile inversions with inventories is applied to selected large countries covering 78 % of the global land carbon uptake for CO 2 , as well as emissions and removals in the land use, land use change and forestry sector, and top-emitters of CH 4 and N 2 O. Our method uses results from an ensemble of global inversions produced by the Global Carbon Project for the three greenhouse gases, with ancillary data. We examine the role of CO 2 fluxes caused by lateral transfer processes from rivers and from trade in crop and wood products, and the role of carbon uptake in unmanaged lands, both not accounted for by the rules of inventories. Here we show that, despite a large spread across the inversions, the median of available inversion models points to a larger terrestrial carbon sink than inventories over temperate countries or groups of countries of the Northern Hemisphere like Russia, Canada and the European Union. For CH 4 , we find good consistency between the inversions assimilating only data from the global in-situ network and those using satellite CH 4 retrievals, and a tendency for inversions to diagnose higher CH 4 emissions estimates than reported by inventories. In particular, oil and gas extracting countries in Central Asia and the Persian Gulf region tend to systematically report lower emissions compared to those estimated by inversions. For N 2 O, inversions tend to produce higher anthropogenic emissions than inventories for tropical countries, even when attempting to consider only managed land emissions. In the inventories of many non-Annex I countries, this can be tentatively attributed to either a lack of reporting indirect N 2 O emissions from atmospheric deposition and from leaching to rivers, or to the existence of natural sources intertwined with managed lands, or to an under-estimation of N 2 O emission factors for direct agricultural soil emissions. The advantage of inversions is that they provide insights on seasonal and interannual greenhouse gas fluxes anomalies, e.g. during extreme events such as drought or abnormal fire episodes, whereas inventory methods are established to estimate trends and multi-annual changes. As a much denser sampling of atmospheric CO 2 and CH 4 concentrations by different satellites coordinated into a global constellation is expected in the coming years, the methodology proposed here to compare inversion results with inventory reports could be applied regularly for monitoring the effectiveness of mitigation policy and progress by countries to meet the objective of their pledges.
In support of the global stocktake of the Paris Agreement on climate change, this study presents a comprehensive framework to process the results of an ensemble of atmospheric inversions in order to make their net ecosystem exchange (NEE) carbon dioxide (CO2) flux suitable for evaluating national greenhouse gas inventories (NGHGIs) submitted by countries to the United Nations Framework Convention on Climate Change (UNFCCC). From inversions we also deduced anthropogenic methane (CH4) emissions regrouped into fossil and agriculture and waste emissions, as well as anthropogenic nitrous oxide (N2O) emissions. To compare inversion results with national reports, we compiled a new global harmonized database of emissions and removals from periodical UNFCCC inventories by Annex I countries, and from sporadic and less detailed emissions reports by non-Annex I countries, given by national communications and biennial update reports. No gap filling was applied. The method to reconcile inversions with inventories is applied to selected large countries covering ∼90 % of the global land carbon uptake for CO2 and top emitters of CH4 and N2O. Our method uses results from an ensemble of global inversions produced by the Global Carbon Project for the three greenhouse gases, with ancillary data. We examine the role of CO2 fluxes caused by lateral transfer processes from rivers and from trade in crop and wood products and the role of carbon uptake in unmanaged lands, both not accounted for by NGHGIs. Here we show that, despite a large spread across the inversions, the median of available inversion models points to a larger terrestrial carbon sink than inventories over temperate countries or groups of countries of the Northern Hemisphere like Russia, Canada and the European Union. For CH4, we find good consistency between the inversions assimilating only data from the global in situ network and those using satellite CH4 retrievals and a tendency for inversions to diagnose higher CH4 emission estimates than reported by NGHGIs. In ...
International audience ; In support of the global stocktake of the Paris Agreement on climate change, this study presents a comprehensive framework to process the results of an ensemble of atmospheric inversions in order to make their net ecosystem exchange (NEE) carbon dioxide (CO 2 ) flux suitable for evaluating national greenhouse gas inventories (NGHGIs) submitted by countries to the United Nations Framework Convention on Climate Change (UNFCCC). From inversions we also deduced anthropogenic methane (CH 4 ) emissions regrouped into fossil and agriculture and waste emissions, as well as anthropogenic nitrous oxide (N 2 O) emissions. To compare inversion results with national reports, we compiled a new global harmonized database of emissions and removals from periodical UNFCCC inventories by Annex I countries, and from sporadic and less detailed emissions reports by non-Annex I countries, given by national communications and biennial update reports. No gap filling was applied. The method to reconcile inversions with inventories is applied to selected large countries covering ∼90 % of the global land carbon uptake for CO 2 and top emitters of CH 4 and N 2 O. Our method uses results from an ensemble of global inversions produced by the Global Carbon Project for the three greenhouse gases, with ancillary data. We examine the role of CO 2 fluxes caused by lateral transfer processes from rivers and from trade in crop and wood products and the role of carbon uptake in unmanaged lands, both not accounted for by NGHGIs. Here we show that, despite a large spread across the inversions, the median of available inversion models points to a larger terrestrial carbon sink than inventories over temperate countries or groups of countries of the Northern Hemisphere like Russia, Canada and the European Union. For CH 4 , we find good consistency between the inversions assimilating only data from the global in situ network and those using satellite CH 4 retrievals and a tendency for inversions to diagnose higher CH 4 emission ...
International audience ; In support of the global stocktake of the Paris Agreement on climate change, this study presents a comprehensive framework to process the results of an ensemble of atmospheric inversions in order to make their net ecosystem exchange (NEE) carbon dioxide (CO 2 ) flux suitable for evaluating national greenhouse gas inventories (NGHGIs) submitted by countries to the United Nations Framework Convention on Climate Change (UNFCCC). From inversions we also deduced anthropogenic methane (CH 4 ) emissions regrouped into fossil and agriculture and waste emissions, as well as anthropogenic nitrous oxide (N 2 O) emissions. To compare inversion results with national reports, we compiled a new global harmonized database of emissions and removals from periodical UNFCCC inventories by Annex I countries, and from sporadic and less detailed emissions reports by non-Annex I countries, given by national communications and biennial update reports. No gap filling was applied. The method to reconcile inversions with inventories is applied to selected large countries covering ∼90 % of the global land carbon uptake for CO 2 and top emitters of CH 4 and N 2 O. Our method uses results from an ensemble of global inversions produced by the Global Carbon Project for the three greenhouse gases, with ancillary data. We examine the role of CO 2 fluxes caused by lateral transfer processes from rivers and from trade in crop and wood products and the role of carbon uptake in unmanaged lands, both not accounted for by NGHGIs. Here we show that, despite a large spread across the inversions, the median of available inversion models points to a larger terrestrial carbon sink than inventories over temperate countries or groups of countries of the Northern Hemisphere like Russia, Canada and the European Union. For CH 4 , we find good consistency between the inversions assimilating only data from the global in situ network and those using satellite CH 4 retrievals and a tendency for inversions to diagnose higher CH 4 emission ...
International audience ; In support of the global stocktake of the Paris Agreement on climate change, this study presents a comprehensive framework to process the results of an ensemble of atmospheric inversions in order to make their net ecosystem exchange (NEE) carbon dioxide (CO 2 ) flux suitable for evaluating national greenhouse gas inventories (NGHGIs) submitted by countries to the United Nations Framework Convention on Climate Change (UNFCCC). From inversions we also deduced anthropogenic methane (CH 4 ) emissions regrouped into fossil and agriculture and waste emissions, as well as anthropogenic nitrous oxide (N 2 O) emissions. To compare inversion results with national reports, we compiled a new global harmonized database of emissions and removals from periodical UNFCCC inventories by Annex I countries, and from sporadic and less detailed emissions reports by non-Annex I countries, given by national communications and biennial update reports. No gap filling was applied. The method to reconcile inversions with inventories is applied to selected large countries covering ∼90 % of the global land carbon uptake for CO 2 and top emitters of CH 4 and N 2 O. Our method uses results from an ensemble of global inversions produced by the Global Carbon Project for the three greenhouse gases, with ancillary data. We examine the role of CO 2 fluxes caused by lateral transfer processes from rivers and from trade in crop and wood products and the role of carbon uptake in unmanaged lands, both not accounted for by NGHGIs. Here we show that, despite a large spread across the inversions, the median of available inversion models points to a larger terrestrial carbon sink than inventories over temperate countries or groups of countries of the Northern Hemisphere like Russia, Canada and the European Union. For CH 4 , we find good consistency between the inversions assimilating only data from the global in situ network and those using satellite CH 4 retrievals and a tendency for inversions to diagnose higher CH 4 emission ...