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Detection of Aerosol Layer Height and Optical Depth By Twilight VIS/NIR Radiometry

Mukherjee, Lipi; Wu, Dong Liang; Mayer, Bernhard C.; Kylling, Arve

2023

Deployment and Evaluation of Networks of Open Air Quality Sensor Systems - Experiences from deployments in Stavanger and Oslo

Schneider, Philipp; Vogt, Matthias; Haugen, Rolf; Hassani, Amirhossein; Castell, Nuria; Peters, Jan; Yatkin, Sinan; Gerboles, Michel; Matheeussen, Christina; Davila, Silvije; Signorini, Marco; Dauge, Franck Rene; Skaar, Jøran Solnes; Bartonova, Alena

2023

Quantifying CH4 leaks from the Nordstream pipelines using ICOS data: updated estimates using the FLEXPART Lagrangian particle dispersion model

Pisso, Ignacio; Platt, Stephen Matthew; Schmidbauer, Norbert; Eckhardt, Sabine; Evangeliou, Nikolaos; Thompson, Rona Louise; Cassiani, Massimo

2023

Retrieval of Aerosol Optical Properties via an All-Sky Imager and Machine Learning: Uncertainty in Direct Normal Irradiance Estimations

Logothetis, Stavros-Andreas; Giannaklis, Christos-Panagiotis; Salamalikis, Vasileios; Tzoumanikas, Panagiotis; Raptis, Panagiotis-Ioannis; Amiridis, Vassilis; Eleftheratos, Kostas; Kazantzidis, Andreas

Quality-assured aerosol optical properties (AOP) with high spatiotemporal resolution are vital for the accurate estimation of direct aerosol radiative forcing and solar irradiance under clear skies. In this study, the sky information from an all-sky imager (ASI) is used with machine learning (ML) synergy to estimate aerosol optical depth (AOD) and the Ångström Exponent (AE). The retrieved AODs (AE) revealed good accuracy, with a dispersion error lower than 0.07 (0.15). The retrieved ML AOPs are used to estimate the DNI by applying radiative transfer modeling. The estimated ML DNI calculations revealed adequate accuracy to reproduce reference measurements with relatively low uncertainties.

2023

Revised historical Northern Hemisphere black carbon emissions based on inverse modeling of ice core records

Eckhardt, Sabine; Pisso, Ignacio; Evangeliou, Nikolaos; Zwaaftink, Christine Groot; Plach, Andreas; McConnell, Joseph R.; Sigl, Michael; Ruppel, Meri; Zdanowicz, Christian; Lim, Saehee; Chellman, Nathan J; Opel, Thomas; Meyer, Hanno; Steffensen, Jørgen Peder; Schwikowski, Margit; Stohl, Andreas

Black carbon emitted by incomplete combustion of fossil fuels and biomass has a net warming effect in the atmosphere and reduces the albedo when deposited on ice and snow; accurate knowledge of past emissions is essential to quantify and model associated global climate forcing. Although bottom-up inventories provide historical Black Carbon emission estimates that are widely used in Earth System Models, they are poorly constrained by observations prior to the late 20th century. Here we use an objective inversion technique based on detailed atmospheric transport and deposition modeling to reconstruct 1850 to 2000 emissions from thirteen Northern Hemisphere ice-core records. We find substantial discrepancies between reconstructed Black Carbon emissions and existing bottom-up inventories which do not fully capture the complex spatial-temporal emission patterns. Our findings imply changes to existing historical Black Carbon radiative forcing estimates are necessary, with potential implications for observation-constrained climate sensitivity.

Springer Nature

2023

Interim European air quality maps for 2021. PM10, NO2 and ozone spatial estimates based on non-validated UTD data.

Horálek, Jan; Vlasakova, Leona; Schreiberova, Marketa; Schneider, Philipp; Damaskova, Dasa

This report presents European interim air quality maps for 2021, which are based on the non-validated up-to-date (UTD) measurement data and the CAMS Ensemble Forecast modelling results, together with other supplementary data. It contains maps of PM10 and NO2 annual averages and ozone indicator SOMO35.

ETC/HE

2023

Sysav Malmö - CCS Waste-to-Energy. A Worst Case / Likely Case study of amines, nitramines and nitrosamines.

Berglen, Tore Flatlandsmo; Tønnesen, Dag; Markelj, Miha; Solberg, Sverre; Svendby, Tove Marit

NILU

2023

Review of methods that can be used in the assessment of atmospheric deposition

Aas, Wenche; Soares, Joana; Hamer, Paul David; Schneider, Philipp; Svendby, Tove Marit; Guerreiro, Cristina

There are three main approaches for estimating the atmospheric deposition: 1) From measurements of air and precipitation chemistry combined with statistical interpolation, 2) Chemical transport models, 3) Combined observations and atmospheric model calculations. This report reviews these different approaches and come with some general recommendations on the different strategies and the way forward for Poland.

The report was made for the project "Strengthening of atmospheric deposition assessment in Poland based on Norwegian experience" under the program "Environment, Energy and Climate Change", financed by the European Economic Area Financial Mechanism 2014-2021".

NILU

2023

Status report of air quality in Europe for year 2022, using validated and up-to-date data

Targa, Jaume; Ripoll, Anna; Banyuls, Lorena; Ortiz, Alberto González; Soares, Joana

ETC/HE

2023

Per- and polyfluoroalkyl substances (PFASs) – An underestimated challenge and anthropogenic marker for Arctic monitoring

Kallenborn, Roland; Hartz, William Frederik; Björnsdotter, Maria; Yeung, Leo WY.

2023

Increased contribution of biomass burning to haze events in Shanghai since China’s clean air actions

Fang, Wenzheng; Evangeliou, Nikolaos; Eckhardt, Sabine; Xing, Ju; Zhang, Hailong; Xiao, Hang; Zhao, Meixun; Kim, Sang-Woo

High levels of East Asian black carbon (BC) aerosols affect ecological and environmental sustainability and contribute to climate warming. Nevertheless, the BC sources in China, after implementing clean air actions from 2013‒2017, are currently elusive due to a lack of observational constraints. Here we combine dual-isotope-constrained observations and chemical-transport modelling to quantify BC’s sources and geographical origins in Shanghai. Modelled BC concentrations capture the overall source trend from continental China and the outflow to the Pacific. Fossil sources dominate (~70%) BC in relatively clean summer. However, a striking increase in biomass burning (15‒30% higher in a fraction of biomass burning compared to summer and 2013/2014 winter), primarily attributable to residential emissions, largely contributes to wintertime BC (~45%) pollution. It highlights the increasing importance of residential biomass burning in the recent winter haze associated with >65% emissions from China’s central-east corridor. Our results suggest clearing the haze problem in China’s megacities and mitigating climate impact requires substantial reductions in regional residential emissions, besides reducing urban traffic and industry emissions.

Springer Nature

2023

OpenGHGMap

Moran, Daniel

2023

Interpolation, Satellite-Based Machine Learning, or Meteorological Simulation? A Comparison Analysis for Spatio-temporal Mapping of Mesoscale Urban Air Temperature

Hassani, Amirhossein; Sousa Santos, Gabriela; Schneider, Philipp; Castell, Nuria

Fine-resolution spatio-temporal maps of near-surface urban air temperature (Ta) provide crucial data inputs for sustainable urban decision-making, personal heat exposure, and climate-relevant epidemiological studies. The recent availability of IoT weather station data allows for high-resolution urban Ta mapping using approaches such as interpolation techniques or machine learning (ML). This study is aimed at executing these approaches and traditional numerical modeling within a practical and operational framework and evaluate their practicality and efficiency in cases where data availability, computational constraints, or specialized expertise pose challenges. We employ Netatmo crowd-sourced weather station data and three geospatial mapping approaches: (1) Ordinary Kriging, (2) statistical ML model (using predictors primarily derived from Earth Observation Data), and (3) weather research and forecasting model (WRF) to predict/map daily Ta at nearly 1-km spatial resolution in Warsaw (Poland) for June–September and compare the predictions against observations from 5 meteorological reference stations. The results reveal that ML can serve as a viable alternative approach to traditional kriging and numerical simulation, characterized by reduced complexity and higher computational speeds within the domain of urban meteorological studies (overall RMSE = 1.06 °C and R2 = 0.94, compared to ground-based meteorological stations). The results have implications for identifying the urban regions vulnerable to overheating and evidence-based urban management in response to climate change. Due to the open-sourced nature of the applied predictors and input parsimony, the ML method can be easily replicated for other EU cities.

2023

Constraining black carbon emissions from wildfires and anthropogenic sources at contrasting Canadian sites

Lynch, Jada; Huang, Lin; Zhang, Wendy; Eckhardt, Sabine; Evangeliou, Nikolaos; Chang, Rachel

2023

EUROqCHARM Capacity building workshop

Nikiforov, Vladimir; Stoica, Elena; Farre, Marinella

2023

New approaches to hazard and risk assessment of nanomaterials. RiskGONE perspective.

Dusinska, Maria; Longhin, Eleonora Marta; El Yamani, Naouale; Rundén-Pran, Elise; Elje, Elisabeth

2023

Initial comparison of recent years satellite and CAMS aerosol data over Svalbard

Stebel, Kerstin; Hansen, Georg H.; Kylling, Arve; Schneider, Philipp

2023

Effect of demand-controlled ventilation strategies on indoor air pollutants in a classroom: A Norwegian case study

Yang, Aileen; Andersen, Kamilla Heimar; Hak, Claudia; Mikoviny, Tomas; Wisthaler, Armin; Holøs, Sverre Bjørn

IOP Publishing

2023

What do we know about the production and release of persistent organic pollutants in the global environment?

Li, Li; Cheng, Chengkang; Li, Dingsheng; Breivik, Knut; Abbasi, Golnoush; Li, Yi-Fan

Information on the global production and environmental releases of persistent organic pollutants (POPs) is of critical importance for regulating and eliminating these chemical substances of worldwide environmental and health concerns. Here, we conduct an extensive literature review to collect and curate quantitative information on the historical global production and multimedia environmental releases of 25 intentionally produced POPs. Our assembled data indicate that as of 2020, a cumulative total of 31 306 kilotonnes (kt) of the 25 POPs had been synthesized and commercialized worldwide, resulting in cumulative releases of 20 348 kt into the global environment. As of 2020, short-chain chlorinated paraffins were the most produced POP, with a historical global cumulative tonnage amounting to 8795 kt, whereas α-hexachlorocyclohexane (HCH) had the largest historical global cumulative environmental releases of 6567 kt among these 25 POPs. The 1970s witnessed the peak in the annual global production of the 25 investigated POPs. The United States and Europe used to be the hotspots of environmental releases of the 25 investigated POPs, notably in the 1960s and 1970s. By contrast, global environmental releases occurred primarily in China in the 2000s–2010s. Preliminary efforts are also made to integrate the production volume information with “hazard” attributes (persistence, bioaccumulation, toxicity, and long-range transport potential) in the evaluation of potential environmental impacts of the 25 POPs. The results show that dichlorodiphenyltrichloroethane (DDT) and polychlorinated biphenyls (PCBs) are potentially associated with higher environmental impacts than other POPs because they are among the top rankings in both the global cumulative production and hazard indicators. This work for the first time reveals the astonishing magnitudes of POP production and environmental releases in contemporary human history. It also underscores the importance of tonnage information in assessments of POPs, POP candidates, and other chemicals of emerging concern.

Royal Society of Chemistry (RSC)

2023

Environmental pollutants in the terrestrial and urban environment 2021. Revised report.

Heimstad, Eldbjørg Sofie; Moe, Børge; Herzke, Dorte; Borgen, Anders; Enge, Ellen Katrin; Nordang, Unni Mette; Bæk, Kine; Nipen, Maja; Hanssen, Linda

Samples from the urban terrestrial environment in the Oslo area were analysed for metals and a large number of organic environmental pollutants. The selected samples that were analysed were soil, earthworm, fieldfare egg and liver, brown rat liver, roe deer liver, vegetation, insects and red fox liver. Biomagnification-potential was estimated based on detected data for relevant predator-prey pairs.

NILU

2023

Reproducible pipelines and readiness levels in plastic monitoring

Aliani, Stefano; Lusher, Amy Lorraine; Galgani, Francois; Herzke, Dorte; Nikiforov, Vladimir; Primpke, Sebastian; Roscher, Lisa; da Silva, Vitor Hugo; Strand, Jakob; Suaria, Giuseppe; Vanavermaete, David; Verlé, Katrien; De Witte, Bavo; Van Bavel, Albert

2023

Plastic burdens in northern fulmars from Svalbard: looking back 25 years

Collard, France; Bangjord, Georg; Herzke, Dorte; Gabrielsen, Geir Wing

2023

Monitoring of the atmospheric ozone layer and natural ultraviolet radiation. Annual Report 2022.

Svendby, Tove Marit; Fjæraa, Ann Mari; Nilsen, Anne-Cathrine; Schulze, Dorothea; Johnsen, Bjørn

This report summarizes the results from the Norwegian monitoring programme on stratospheric ozone and UV radiation measurements. The ozone layer has been measured at three locations since 1979: In Oslo/Kjeller, Tromsø/Andøya and Ny-Ålesund. The UV-measurements started in 1995. The results show that there was a significant decrease in stratospheric ozone above Norway between 1979 and 1997. After that, the ozone layer stabilized at a level ~2% below pre-1980 level. The year 2022 was characterized by annual average total ozone values slightly below “normal”.

NILU

2023

Particulate Matter Research and Management in Serbia

Jovašević-Stojanović, Milena V.; De Vito, Saverio; Davidović, Miloš D.; Ristovski, Zoran; Bartonova, Alena

Clean air is a basic requirement for human health and well-being. According to [1], air pollution is the largest environmental health risk in Europe, with PM being responsible for majority of the adverse effects. The most commonly used metrics for PM is mass for different PM sizes by aerodynamic diameter: inhalable PM includes PM10 for particles equal or smaller than 10 μm, PM2.5 for those equal or smaller than 2.5 μm, and ultrafine particles for those smaller than 100 nm. The smaller the particles are, the deeper they penetrate deep into the lungs and even enter the cardiovascular system, increasing the risks to human health [2]. New ways of characterizing PM, and new understanding of mechanisms of adverse health effects, are emerging.

2023

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