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Fant 10000 publikasjoner. Viser side 362 av 400:

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Estimating High Resolution Surface PM2.5 Over Europe Using Satellite AOD Datasets, CAMS Forecast and Machine Learning

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

2023

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

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

2023

Moisture Transport into the Arctic in a past and future climate

Eckhardt, Sabine; Svendby, Tove Marit; Cassiani, Massimo; Oliviè, Dirk Jan Leo

2023

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 J.; Ciais, Philippe; Muntean, Marilena; Pan, Shufen; Winiwarter, Wilfried; Zaehle, Sönke; Zhou, Feng; Jackson, Robert B.

2023

Eastward Propagating Planetary Waves Observed Using the SuperDARN Meteor Radar Network

Espy, Patrick Joseph; Mirzaamin, Tina; Orsolini, Yvan Joseph Georges Emile G.; Rhodes, Christian Todd

2023

The Impacts of Third Pole Snow Assimilation on Seasonal Meteorology Predictions

Li, Wei; Li, Lu; Jie, Chen; Orsolini, Yvan Joseph Georges Emile G.; Rosnay, Patricia de; Senan, Retish

2023

Tidal Amplification in the Lower Thermosphere during the 2003 October-November Solar Storms

Zhang, Jiarong; Orsolini, Yvan Joseph Georges Emile G.; Limpasuvan, Varavut; Liu, H.; Oberheide, Jens

2023

Energetic particle precipitation reflected in the global secondary ozone distribution

Jia, Jia; Murberg, Lise Eder; Løvset, Tiril; Orsolini, Yvan Joseph Georges Emile G.; Espy, Patrick Joseph; Salinas, Jude; Lee, Jae N.; Wu, Dong; Zhang, Jiarong

2023

Norwegian experience in assessing atmospheric deposition

Aas, Wenche; Hjellbrekke, Anne-Gunn; Guerreiro, Cristina; Schneider, Philipp; Soares, Joana

2023

Abrupt Change in the Lower Thermospheric Mean Meridional Circulation During Sudden Stratospheric Warmings

Orsolini, Yvan Joseph Georges Emile G.; Limpasuvan, Varavut; Zhang, Jiarong

2023

Energetic Particle Precipitation reflected in the Global Secondary Ozone Distribution

Jia, Jia; Murberg, Lise Eder; Løvset, Tiril; Orsolini, Yvan Joseph Georges Emile G.; Espy, Patrick Joseph; Salinas, Jude; Lee, Jae N.; Wu, Dong; Zhang, Jiarong

2023

Energetic Particle Precipitation reflected in the Global Secondary Ozone Distribution

Jia, Jia; Murberg, Lise Eder; Løvset, Tiril; Orsolini, Yvan Joseph Georges Emile G.; Espy, Patrick Joseph; Salinas, Jude; Lee, Jae N.; Wu, Dong; Zhang, Jiarong

2023

Identification of POP candidates among chemicals in plastic. Screening for LRTP using the Emissions Fractions Approach

Breivik, Knut; Nikiforov, Vladimir; Davie-Martin, Cleo Lisa

There is considerable interest in identifying chemicals which have the potential to undergo long-range environmental transport (LRTP), accumulate in remote regions, and represent a possible risk to environmental and human health. In this report, we have screened a list of 1,000 organic chemicals, as well as selected brominated dioxins and furans (PBDD/Fs), for their potential to be dispersed, transferred to, and accumulated in remote regions. This screening was carried out applying a new set of LRTP metrics, collectively referred to as the emissions fractions approach (EFA), as implemented in a modified version of the OECD POV and LRTP (long-range transport potential) Screening Tool (The Tool).

NILU

2023

Safety-by-design and engineered nanomaterials: the need to move from theory to practice

Trump, Benjamin D.; Antunes, Dalila; Palma-Oliveira, José; Nelson, Andrew; Hudecova, Alexandra Misci; Rundén-Pran, Elise; Dusinska, Maria; Gispert, Ignasi; Resch, Susanne; Alfaro-Serrano, Beatriz; Afantitis, Antreas; Melagraki, Georgia; Tse, Edmund C. M.; Trump, Josh; Kohl, Yvonne; Linkov, Igor

As the governance of engineered nanomaterials (ENMs) evolves, innovations in the prevention, mitigation, management, and transfer of risk shape discussion of how nanotechnology may mature and reach various marketplaces. Safety-by-Design (SbD) is one leading concept that, while equally philosophy as well as risk-based practice, can uniquely help address lingering uncertainties and concerns stemming from regulatory evaluation of ENM risk across worker, consumer, and environmental safety. This paper provides a discussion on the SbD concept across different disciplines aiming to identify different approaches and needs to meet regulatory requirements—ultimately, we argue that SbD is evolving both to meet the needs and discourse of various disciplines, and to apply within differing marketplaces and national regulatory structures. Understanding how SbD has evolved within ENM can yield a more practical application and development of SbD, and help guide or unify national and international ENM governance around a core set of safety-driven principles.

2023

Hydrovolt AS i Fredrikstad. Målinger av flyktige organiske forbindelser (VOC)

Håland, Alexander; Schmidbauer, Norbert; Berglen, Tore Flatlandsmo; Eikenes, Heidi; Andresen, Erik

NILU

2023

Måling av maursyre og eddiksyre i to oppbevaringsbokser ved Munchmuseet i Oslo

Grøntoft, Terje

Målinger av maursyre (HCOOH), eddiksyre (CH3COOH) og flyktige organiske forbindelser (VOC) ble gjort i to oppbevaringsbokser ved Munchmuseet i Oslo. Noe forhøyede konsentrasjoner av maursyre, eddiksyre og totale flyktige organiske forbindelser (TVOC) ble målt i boksene, men konsentrasjonene er like fullt lave sammenlignet med vurderte risikonivåer for kulturav-materialer.

NILU

2023

Challenges in using EO to characterise vegetation fires in the Global Fire Assimilation System of CAMS

Kaiser, Johannes; Stebel, Kerstin; Tørseth, Kjetil; Parrington, Mark; Tomaso, Enza Di

2023

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

Hassani, Amirhossein; Santos, Gabriela Sousa; 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

Atmospheric Microplastic in the Arctic and the Norwegian mainland

Herzke, Dorte; Evangeliou, Nikolaos; Bjørnsen, Astrid E.; Eckhardt, Sabine

2023

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