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Machine Learning-Based Retrieval of Total Ozone Column Amount and Cloud Optical Depth from Irradiance Measurements

Sztipanov, Milos; Krizsán, Levente; Li, Wei; Stamnes, Jakob J.; Svendby, Tove Marit; Stamnes, Knut

A machine learning algorithm combined with measurements obtained by a NILU-UV irradiance meter enables the determination of total ozone column (TOC) amount and cloud optical depth (COD). In the New York City area, a NILU-UV instrument on the rooftop of a Stevens Institute of Technology building (40.74° N, −74.03° E) has been used to collect data for several years. Inspired by a previous study [Opt. Express 22, 19595 (2014)], this research presents an updated neural-network-based method for TOC and COD retrievals. This method provides reliable results under heavy cloud conditions, and a convenient algorithm for the simultaneous retrieval of TOC and COD values. The TOC values are presented for 2014–2023, and both were compared with results obtained using the look-up table (LUT) method and measurements by the Ozone Monitoring Instrument (OMI), deployed on NASA’s AURA satellite. COD results are also provided.

MDPI

2024

Environmental Contaminants in an Urban Fjord, 2023

Ruus, Anders; Grung, Merete; Bæk, Kine; Rundberget, Thomas; Vogelsang, Christian; Beylich, Bjørnar; Lund, Espen; Allan, Ian; Ribeiro, Anne Luise; Hanssen, Linda; Enge, Ellen Katrin

Norsk institutt for vannforskning

2024

Peat fire emissions

Kaiser, Johannes

2024

Global Fire Monitoring

Kaiser, Johannes; Liu, Zixia; Di Tomaso, Enza; Parrington, Mark

2024

Global nitrous oxide budget (1980–2020)

Tian, Hanqin; Pan, Naiqing; Thompson, Rona Louise; Canadell, Josep G. ; Suntharalingam, Parvadha; Regnier, Pierre; Davidson, Eric A.; Prather, Michael; Ciais, Philippe; Muntean, Marilena; Pan, Shufen; Winiwarter, Wilfried; Zaehle, Sonke; Zhou, Feng; Jackson, Robert B. ; Bange, Hermann W.; Berthet, Sarah; Bian, Zihao; Bianchi, Daniele; Bouwman, Alexander F.; Buitenhuis, Erik T.; Dutton, Geoffrey; Hu, Minpeng; Ito, Akihiko; Jain, Atul K.; Jeltsch-Thömmes, Aurich; Joos, Fortunat; Kou-Giesbrecht, Sian; Krummel, Paul B. ; Lan, Xin; Landolfi, Angela; Lauerwald, Ronny; Li, Ya; Lu, Chaoqun; Maavara, Taylor; Manizza, Manfredi; Millet, Dylan B.; Mühle, Jens; Patra, Prabir K. ; Peters, Glen Philip; Qin, Xiaoyu; Raymond, Peter; Resplandy, Laure; Rosentreter, Judith A. ; Shi, Hao; Sun, Qing; Tonina, Daniele; Tubiello, Francesco N.; Van Der Werf, Guido R. ; Vuichard, Nicolas; Wang, Junjie; Wells, Kelley C.; Western, Luke M.; Wilson, Chris; Yang, Jia; Yao, Yuanzhi; You, Yongfa; Zhu, Qing

Nitrous oxide (N2O) is a long-lived potent greenhouse gas and stratospheric ozone-depleting substance that has been accumulating in the atmosphere since the preindustrial period. The mole fraction of atmospheric N2O has increased by nearly 25 % from 270 ppb (parts per billion) in 1750 to 336 ppb in 2022, with the fastest annual growth rate since 1980 of more than 1.3 ppb yr−1 in both 2020 and 2021. According to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6), the relative contribution of N2O to the total enhanced effective radiative forcing of greenhouse gases was 6.4 % for 1750–2022. As a core component of our global greenhouse gas assessments coordinated by the Global Carbon Project (GCP), our global N2O budget incorporates both natural and anthropogenic sources and sinks and accounts for the interactions between nitrogen additions and the biogeochemical processes that control N2O emissions. We use bottom-up (BU: inventory, statistical extrapolation of flux measurements, and process-based land and ocean modeling) and top-down (TD: atmospheric measurement-based inversion) approaches. We provide a comprehensive quantification of global N2O sources and sinks in 21 natural and anthropogenic categories in 18 regions between 1980 and 2020. We estimate that total annual anthropogenic N2O emissions have increased 40 % (or 1.9 Tg N yr−1) in the past 4 decades (1980–2020). Direct agricultural emissions in 2020 (3.9 Tg N yr−1, best estimate) represent the large majority of anthropogenic emissions, followed by other direct anthropogenic sources, including fossil fuel and industry, waste and wastewater, and biomass burning (2.1 Tg N yr−1), and indirect anthropogenic sources (1.3 Tg N yr−1) . For the year 2020, our best estimate of total BU emissions for natural and anthropogenic sources was 18.5 (lower–upper bounds: 10.6–27.0) Tg N yr−1, close to our TD estimate of 17.0 (16.6–17.4) Tg N yr−1. For the 2010–2019 period, the annual BU decadal-average emissions for both natural and anthropogenic sources were 18.2 (10.6–25.9) Tg N yr−1 and TD emissions were 17.4 (15.8–19.20) Tg N yr−1. The once top emitter Europe has reduced its emissions by 31 % since the 1980s, while those of emerging economies have grown, making China the top emitter since the 2010s. The observed atmospheric N2O concentrations in recent years have exceeded projected levels under all scenarios in the Coupled Model Intercomparison Project Phase 6 (CMIP6), underscoring the importance of reducing anthropogenic N2O emissions. To evaluate mitigation efforts and contribute to the Global Stocktake of the United Nations Framework Convention on Climate Change, we propose the establishment of a global network for monitoring and modeling N2O from the surface through to the stratosphere. The data presented in this work can be downloaded from https://doi.org/10.18160/RQ8P-2Z4R (Tian et al., 2023).

2024

Per- and polyfluoroalkyl substances (PFAS) in surface sediments from Norwegian marine areas

Boitsov, Stepan; Bruvold, Are Sæle; Hanssen, Linda; Jensen, Henning; Ali, Aasim M.

2024

Monitoring of environmental contaminants in freshwater food webs (MILFERSK), 2023

Økelsrud, Asle; Grung, Merete; Bæk, Kine; Rundberget, Thomas; Øxnevad, Sigurd; Enge, Ellen Katrin; Hanssen, Linda; Johansen, Ingar

Norsk institutt for vannforskning

2024

Roadmap for action for advancing aggregate exposure to chemicals in the EU

Lamon, L.; Doyle, J.; Paini, A.; Moeller, R.; Viegas, S.; Cubadda, F.; Hoet, P.; van Nieuwenhuyse, A.; Louro, H.; Dusinska, Maria; Galea, K. S.; Canham, R.; Martins, C.; Gama, A.; Teófilo, V.; Diniz-da-Costa, M.; João Silva, M.; Ventura, C.; Alvito, P.; El Yamani, Naouale; Ghosh, M.; Duca, R. C.; Siccardi, M.; Rundén-Pran, Elise; McNamara, C.; Price, P.

The European Food Safety Authority (EFSA) has a goal to efficiently conduct aggregate exposure assessments (AEAs) for chemicals using both exposure models and human biomonitoring (HBM) data by 2030. To achieve EFSA's vision, a roadmap for action for advancing aggregate exposure (AE) in the EU was developed. This roadmap was created by performing a series of engagement and data collection activities to map the currently available methods, data, and tools for assessing AE of chemicals, against the needs and priorities of EFSA. This allowed for the creation of a AEA framework, identification of data and knowledge gaps in our current capabilities, and identification of the challenges and blockers that would hinder efforts to fill the gaps. The roadmap identifies interdependent working areas (WAs) where additional research and development are required to achieve EFSA's goal. It also proposes future collaboration opportunities and recommends several project proposals to meet EFSA's goals. Eight proposal projects supported by SWOT analysis are presented for EFSA's consideration. The project proposals inform high-level recommendations for multi-annual and multi-partner projects. Recommendations to improve stakeholder engagement and communication of EFSA's work on AEA were gathered by surveying stakeholders on specific actions to improve EFSA's communication on AE, including webinars, virtual training, social media channels, and newsletters.

2024

Reconciliation of methane emissions in European national inventory reports with atmospheric measurements

Houweling, Sander; Berchet, Antoine; Brunner, Dominik; Cheliotis, Ioannis; Fenjuan, Wang; Ioannidis, Elefterios; Koch, Frank-Thomas; Lin, Hong; Maksyutov, Shamil; Meesters, Antoon; Monteil, Guillaume; Pison, Isabelle; Ren, Ge; Scholze, Marko; Sollum, Espen; Steiner, Michael; Thompson, Rona Louise; Tsuruta, Aki

2024

Quantifying subnational CO2 emissions by assimilating regional measurements in a global high-resolution inverse model

Nayagam, Lorna Raja; Maksyutov, Shamil; Oda, Tomohiro; Janardanan, Rajesh; Yoshida, Yukio; Trisolino, Pamela; Zeng, Jiye; Kaiser, Johannes; Matsunaga, Tsuneo

2024

Meeting an escalating Lithium-Ion Battery demand: Global Graphite Supply-Demand Scenarios

Barre, Francis Isidore; Billy, Romain Guillaume; Aguilar Lopez, Fernando; Mueller, Daniel Beat

2024

Mapping socioeconomic exposure to climate change-related events - coastal floods in Norway

Barre, Francis Isidore; Bouman, Evert Alwin; Hertwich, Edgar; Moran, Daniel Dean

2024

Estimating high resolution surface air pollutants using machine learning and satellites

Shetty, Shobitha; Schneider, Philipp; Stebel, Kerstin; Hamer, Paul David; Kylling, Arve; Berntsen, Terje Koren

2024

CitySatAir – Monitoring urban NO2 with TROPOMI data

Mijling, Bas; Schneider, Philipp; Hamer, Paul David; Moreno, Paul; Jimenez, Isadora

2024

ECOMAP - Exploitation of ongoing and future Copernicus Missions for Atmospheric Applications

Fjæraa, Ann Mari; Stebel, Kerstin; Schneider, Philipp; Sollum, Espen; Ytre-Eide, Martin Album

2024

Climate Monitoring with observations of Fire Radiative Power

Kaiser, Johannes; Parrington, Mark; Di Tomaso, Enza; Liu, Zixia; Stebel, Kerstin; Fjæraa, Ann Mari; Schneider, Philipp

2024

A satellite view on wildfire plume aerosols in northern high latitudes in 2023

Stebel, Kerstin; Schneider, Philipp; Kaiser, Johannes; Evangeliou, Nikolaos; Fjæraa, Ann Mari

2024

Estimating high resolution daily surface PM2.5 over Europe using CAMS PM forecast, satellite AOD, and a Machine Learning Model.

Shetty, Shobitha; Schneider, Philipp; Hamer, Paul David; Stebel, Kerstin; Kylling, Arve; Berntsen, Terje Koren

2024

Towards reliable data: Validation of a machine learning-based approach for microplastics analysis in marine organisms using Nile red staining

Meyers, Nelle; Everaert, Gert; Hostens, Kris; Schmidt, Natascha; Herzke, Dorte; Fuda, Jean-Luc; Janssen, Colin R.; De Witte, Bavo

Elsevier

2024

Assessment of transboundary pollution with heavy metals and POPs

Travnikov, Oleg; Gačnik, Jan; Ali, Saeed Waqar; Kosjek, Tina; Ogrinc, Nives; Horvat, Milena; Poupa, Stephan; Bernhard, Ullrich; Wankmüller, Robert; Schindlbacher, Sabine; Redeyoff, Oscar; Aas, Wenche; Halvorsen, Helene Lunder; Pfaffhuber, Katrine Aspmo

Meteorological Synthesizing Centre – East (MSC-E)

2024

Semantic Modeling of Waste Dataflow for Automating Circular Economy Systems

Motevallian, Mahsa; Esfar E Alam, A M; Taherkordi, Amirhosein; Abbasi, Golnoush

2024

Revealing the significant acceleration of hydrofluorocarbon (HFC) emissions in eastern Asia through long-term atmospheric observations

Choi, Haklim; Redington, Alison L.; Park, Hyeri; Kim, Jooil; Thompson, Rona Louise; Mühle, Jens; Salameh, Peter K.; Harth, Christina M.; Weiss, Ray F.; Manning, Alistair J.; Park, Sunyoung

Hydrofluorocarbons (HFCs) are powerful anthropogenic greenhouse gases (GHGs) with high global-warming potentials (GWPs). They have been widely used as refrigerants, insulation foam-blowing agents, aerosol propellants, and fire suppression agents. Since the mid-1990s, emissions of HFCs have been increasing rapidly as they are used in many applications to replace ozone-depleting chlorofluorocarbons (CFCs) and hydrochlorofluorocarbons (HCFCs) whose consumption and production have been phased out under the Montreal Protocol (MP). Due to the high GWP of HFCs, the Kigali Amendment to the MP requires the phasedown of production and consumption of HFCs to gradually achieve an 80 %–85 % reduction by 2047, starting in 2019 for non-Article 5 (developed) countries with a 10 % reduction against each defined baseline and later schedules for Article 5 (developing) countries. In this study, we have examined long-term high-precision measurements of atmospheric abundances of five major HFCs (HFC-134a, HFC-143a, HFC-32, HFC-125, and HFC-152a) at Gosan station, Jeju Island, South Korea, from 2008 to 2020. Background abundances of HFCs gradually increased, and the inflow of polluted air masses with elevated abundances from surrounding source regions were detected over the entire period. From these pollution events, we inferred regional and country-specific HFC emission estimates using two independent Lagrangian particle dispersion models and Bayesian inversion frameworks (FLEXPART-FLEXINVERT+ and NAME-InTEM). The spatial distribution of the derived “top-down” (measurement based) emissions for all HFCs shows large fluxes from megacities and industrial areas in the region. Our most important finding is that HFC emissions in eastern China and Japan have sharply increased from 2016 to 2018. The contribution of East Asian HFC emissions to the global total increased from 9 % (2008–2014) to 13 % (2016–2020). In particular, HFC emissions in Japan (Annex I country) rose rapidly from 2016 onward, with accumulated total inferred HFC emissions being ∼ 114 Gg yr−1, which is ∼ 76 Gg yr−1 higher for 2016–2020 than the “bottom-up” (i.e., based on activity data and emission factors) emissions of ∼ 38 Gg yr−1 reported to the United Nations Framework Convention on Climate Change (UNFCCC). This is likely related to the increase in domestic demand in Japan for refrigerants and air-conditioning-system-related products and incomplete accounting. A downward trend of HFC emissions that started in 2019 reflects the effectiveness of the F-gas policy in Japan. Eastern China and South Korea, though not obligated to report to the UNFCCC, voluntarily reported emissions, which also show differences between top-down and bottom-up emission estimates, demonstrating the need for atmospheric measurements, comprehensive data analysis, and accurate reporting for precise emission management. Further, the proportional contribution of each country's CO2-equivalent HFC emissions has changed over time, with HFC-134a decreasing and HFC-125 increasing. This demonstrates the transition in the predominant HFC substances contributing to global warming in each country.

2024

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