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Fant 10033 publikasjoner. Viser side 402 av 402:

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Årsrapport 2024. Nasjonalt referanselaboratorium for luftkvalitetsmålinger

Marsteen, Leif; Johnsrud, Mona; Hak, Claudia; Dauge, Franck Rene; Tørnkvist, Kjersti Karlsen; Vo, Dam Thanh; Amundsen, Filip

Denne rapporten oppsummerer oppgavene til Nasjonalt referanselaboratorium for luftkvalitetsmålinger (NRL), delkontrakt 1b, for året 2024.

NILU

2025

Advarer: – Om dette fortsetter blir det ille

Hodson, Andrew; Platt, Stephen Matthew (intervjuobjekter)

2025

Global greenhouse gas reconciliation 2022

Deng, Zhu; Ciais, Philippe; Hu, Liting; Martinez, Adrien; Saunois, Marielle; Thompson, Rona Louise; Tibrewal, Kushal; Peters, Wouter; Byrne, Brendan; Grassi, Giacomo; Palmer, Paul I.; Luijkx, Ingrid T.; Liu, Zhu; Liu, Junjie; Fang, Xuekun; Wang, Tengjiao; Tian, Hanqin; Tanaka, Katsumasa; Bastos, Ana; Sitch, Stephen; Poulter, Benjamin; Albergel, Clement; Tsuruta, Aki; Maksyutov, Shamil; Janardanan, Rajesh; Niwa, Yosuke; Zheng, Bo; Thanwerdas, Joel; Belikov, Dmitry; Segers, Arjo; Chevallier, Frédéric

n this study, we provide an update on the methodology and data used by Deng et al. (2022) to compare the national greenhouse gas inventories (NGHGIs) and atmospheric inversion model ensembles contributed by international research teams coordinated by the Global Carbon Project. The comparison framework uses transparent processing of the net ecosystem exchange fluxes of carbon dioxide (CO2) from inversions to provide estimates of terrestrial carbon stock changes over managed land that can be used to evaluate NGHGIs. For methane (CH4), and nitrous oxide (N2O), we separate anthropogenic emissions from natural sources based directly on the inversion results to make them compatible with NGHGIs. Our global harmonized NGHGI database was updated with inventory data until February 2023 by compiling data from periodical United Nations Framework Convention on Climate Change (UNFCCC) inventories by Annex I countries and sporadic and less detailed emissions reports by non-Annex I countries given by national communications and biennial update reports. For the inversion data, we used an ensemble of 22 global inversions produced for the most recent assessments of the global budgets of CO2, CH4, and N2O coordinated by the Global Carbon Project with ancillary data. The CO2 inversion ensemble in this study goes through 2021, building on our previous report from 1990 to 2019, and includes three new satellite inversions compared to the previous study and an improved managed-land mask. As a result, although significant differences exist between the CO2 inversion estimates, both satellite and in situ inversions over managed lands indicate that Russia and Canada had a larger land carbon sink in recent years than reported in their NGHGIs, while the NGHGIs reported a significant upward trend of carbon sink in Russia but a downward trend in Canada. For CH4 and N2O, the results of the new inversion ensembles are extended to 2020. Rapid increases in anthropogenic CH4 emissions were observed in developing countries, with varying levels of agreement between NGHGIs and inversion results, while developed countries showed a slowly declining or stable trend in emissions. Much denser sampling of atmospheric CO2 and CH4 concentrations by different satellites, coordinated into a global constellation, is expected in the coming years. The methodology proposed here to compare inversion results with NGHGIs can be applied regularly for monitoring the effectiveness of mitigation policy and progress by countries to meet the objectives of their pledges. The dataset constructed for this study is publicly available at https://doi.org/10.5281/zenodo.13887128 (Deng et al., 2024).

2025

Global Inversion of a Black Carbon Emissions based on FLEXPART modelling and a Bayesian inversion algorithm

Eckhardt, Sabine; Thompson, Rona Louise; Evangeliou, Nikolaos; Pisso, Ignacio; Yttri, Karl Espen; Zwaaftink, Christine Groot; Platt, Stephen Matthew

2025

Physiologically based toxicokinetic models in aggregate exposure: A review

Lamon, L.; Paini, A.; Siccardi, M.; Doyle, J.; McNamara, C.; Galea, K.S.; Ghosh, M.; Louro, H.; Silva, M.J.; Yamani, Naouale El; Dusinska, Maria; Moeller, R.; Duca, R.C.; Cubadda, F.; Viegas, S.; Martins, C.; Price, P.

2025

Developing the chemistry module for 27 fluorinated greenhouse gases (F-gases): Reactions, emissions, and implementation in GEOS-Chem

Li, Yali; Zhu, Lei; Li, Juan; Chen, Yuyang; Western, Luke M.; Young, Dickon; Mühle, Jens; Weiss, Ray F.; Krummel, Paul B.; Lunder, Chris Rene; Liu, Song; Li, Xicheng; Fu, Weitao; Zhang, Peng; Zhang, Xue; Zhang, Jiaming; Wu, Xingyi; Huang, Yuchen; Shen, Huizhong; Ye, Jianhuai; Wang, Chen; Fu, Tzung-May; Yang, Xin

2025

Highly accurate and autonomous programmable platform for providing air pollution data services to drivers and the public – Polish case study

Grochala, Dominik; Paleczek, Anna; Gruszczyński, Sławomir; Wójcikowski, Marek; Pankiewicz, Bogdan; Pietrenko-Dąbrowska, Anna; Kozieł, Sławomir; Cao, Tuan-Vu; Rydosz, Artur

Nitrogen dioxide (NO2) is a well-known air pollutant, mostly elevated by car traffic in cities. To date, small, reliable, cost-efficient multipollutant sensors with sufficient power and accuracy for community-based atmospheric studies are still lacking. The HAPADS (highly accurate and autonomous programmable platforms for providing air pollution data services) platforms, developed and tested in real conditions, can be a possible approach to solving this issue. The developed HAPADS platforms are equipped with three different NO2 sensors (7E4-NO2–5, SGX-7NO2, MICS-2711 MOS) and a combined ambient air temperature, humidity, and pressure sensor (BME280). The platforms were tested during the driving test, which was conducted across various roads, including highways, expressways, and national and regional routes, as well as major cities and the countryside, to analyse the environmental conditions as much as possible (Poland, 2024). The correlation coefficient r was more than 0.8, and RMSE (root mean squared error) was in the 3.3–4.3 μg/m3 range during the calibration process. The results obtained during the driving tests showed R2 of 0.9–1.0, which proves the ability of HAPADS platforms to work in the hard environmental conditions (including high rain and snow, as well as sun and a wide range of temperatures and humidity).

2026

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