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Fant 9747 publikasjoner. Viser side 381 av 390:

Publikasjon  
År  
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A velocity-dissipation stochastic trajectory model for dispersal of heavy particles inside canopies. NILU F

Duman, T.; Trakhtenbrot, A.; Poggi, D.; Cassiani, M.; Katul, G.

2014

A vegetation control on seasonal variations in global atmospheric mercury concentrations

Jiskra, Martin; Sonke, Jeroen E.; Obrist, Daniel; Bieser, Johannes; Ebinghaus, Ralf; Myhre, Cathrine Lund; Pfaffhuber, Katrine Aspmo; Wangberg, Ingvar; Kyllönen, Katriina; Worthy, Doug; Martin, Lynwill G.; Labuschagne, Casper; Mkololo, Thumeka; Ramonet, Michel; Magand, Olivier; Dommergue, Aurélien

2018

A unique approach to a global problem. INTARESE Technical brief, 4

Bartonova, A.; Liu, H.-Y.; Dusinska, M.

2009

A unified kinetic approach to binary nucleation.

Kevrekidis, P.G.; Lazaridis, M.; Drossinos, Y.; Georgopoulos, P.G.

1999

A unified approach to infrared aerosol remote sensing and type specification.

Clarisse, L.; Coheur, P.-F.; Prata, F.; Hadji-Lazaro, J.; Hurtmans, D.; Clerbaux, C.

2013

A trajectory-based estimate of the tropospheric ozone column using the residual method.

Schoeberl, M.R.; Ziemke, J.R.; Bojkov, B.; Livesey, N.; Duncan, B.; Strahan, S.; Froidevaux, L.; Kulawik, S.; Bhartia, P.K.; Chandra, S.; Levelt, P.F.; Witte, J.C.; Thompson, A.M.; Cuevas, E.; Redondas, A.; Tarasick, D.W.; Davies, J.; Bodeker, G.; Hansen, G. et al.

2007

A top-down estimation of subnational CO2 budget using a global high-resolution inverse model with data from regional surface networks

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

Top-down approaches, such as atmospheric inversions, are a promising tool for evaluating emission estimates based on activity-data. In particular, there is a need to examine carbon budgets at subnational scales (e.g. state/province), since this is where the climate mitigation policies occur. In this study, the subnational scale anthropogenic CO2 emissions are estimated using a high-resolution global CO2 inverse model. The approach is distinctive with the use of continuous atmospheric measurements from regional/urban networks along with background monitoring data for the period 2015–2019 in global inversion. The measurements from several urban areas of the U.S., Europe and Japan, together with recent high-resolution emission inventories and data-driven flux datasets were utilized to estimate the fossil emissions across the urban areas of the world. By jointly optimizing fossil fuel and natural fluxes, the model is able to contribute additional information to the evaluation of province–scale emissions, provided that sufficient regional network observations are available. The fossil CO2 emission estimates over the U.S. states such as Indiana, Massachusetts, Connecticut, New York, Virginia and Maryland were found to have a reasonable agreement with the Environmental Protection Agency (EPA) inventory, and the model corrects the emissions substantially towards the EPA estimates for California and Indiana. The emission estimates over the United Kingdom, France and Germany are comparable with the regional inventory TNO–CAMS. We evaluated model estimates using independent aircraft observations, while comparison with the CarbonTracker model fluxes confirms ability to represent the biospheric fluxes. This study highlights the potential of the newly developed inverse modeling system to utilize the atmospheric data collected from the regional networks and other observation platforms for further enhancing the ability to perform top-down carbon budget assessment at subnational scales and support the monitoring and mitigation of greenhouse gas emissions.

2023

A tool to identify the contribution of pollution sources and personal behaviour to inhaled dose. Poster presentation.

Bartonova, A.; Broday, D.; Fløisand, I.; Holländer, W.; Mc Innes, H.; Lützenkirchen, S.

2006

A tool for optimizing and prioritizing measures to reduce emissions to air from offshore activities - Environmental Impact Factor - Air.

Larssen, T.; Knudsen, S.; Bruteig, I.; Aarrestad, P.A.; Høgåsen, T.; Kinn, S.J.; Engen, S.; Johnsen, S.

2005

A thermal infrared instrument onboard a geostationary platform for CO and O3 measurements in the lowermost troposphere: Observing System Simulation Experiments (OSSE).

Claeyman, M.; Attié, J.-L.; Peuch, V.-H.; El Amraoui, L.; Lahoz, W. A.; Josse, B.; Joly, M.; Barré, J.; Ricaud, P.; Massart, S.; Piacentini, A.; von Clarmann, T.; Höpfner, M.; Orphal, J.; Flaud, J.-M.; Edwards, D.P.

2011

A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials

Jeliazkova, Nina; Longhin, Eleonora Marta; El Yamani, Naouale; Rundén-Pran, Elise; Moschini, Elisa; Serchi, Tommaso; Vrček, Ivana Vinković; Burgum, Michael J.; Doak, Shareen H.; Cimpan, Mihaela Roxana; Rios Mondragon, Ivan; Cimpan, Emil; Battistelli, Chiara L.; Bossa, Cecilia; Tsekovska, Rositsa; Drobne, Damjana; Novak, Sara; Repar, Neža; Ammar, Ammar; Nymark, Penny; Di Battista, Veronica; Sosnowska, Anita; Puzyn, Tomasz; Kochev, Nikolay; Iliev, Luchesar; Jeliazkov, Vedrin; Reilly, Katie; Lynch, Iseult; Martine, Bakker; Delpivo, Camilla; Sánchez Jiménez, Araceli; Fonseca, Ana Sofia; Manier, Nicolas; Fernandez-Cruz, María Luisa; Rashid, Shahzad; Willighagen, Egon L.; Apostolova, Margarita D; Dusinska, Maria

2024

A Systematic Review of plastic analytical protocols and Reproducible Analytical Pipelines

Aliani, Stefano; Suaria, Giuseppe; Herzke, Dorte; De Witte, Bavo P.; Primpke, Sebastian; Nikiforov, Vladimir; Strand, Jakob; Da Silva, Vitor; Lusher, Amy Lorraine

2022

A synthesis of atmospheric mercury depletion event chemistry linking atmosphere, snow and water.

Steffen, A.; Douglas, T.; Amyot, M.; Ariya, P.; Aspmo, K.; Berg, T.; Bottenheim, J.; Brooks, S.; Cobbett, F, Dastoor, A.; Dommergue, A.; Ebinghaus, R.; Ferrari, C.; K. Gardfeldt, M.E.; Goodsite, E.; Lean, D.; Poulain, A. Scherz, C.; Skov, H.; Sommar J.; Temme, C.

2008

A Synthesis Inversion to Constrain Global Emissions of Two Very Short Lived Chlorocarbons: Dichloromethane, and Perchloroethylene

Claxton, Tom; Hossaini, R.; Wilson, C.; Montzka, Stephen A.; Chipperfield, Martyn P.; Wild, Oliver; Bednarz, Ewa M.; Carpenter, Lucy J.; Andrews, Stephen J.; Hackenberg, Sina C.; Mühle, Jens; Oram, David; Park, Sunyoung; Park, Mi-Kyung; Atlas, Elliot; Navarro, Maria; Schauffler, Sue; Sherry, David; Vollmer, Martin K.; Schuck, Tanja; Engel, Andreas; Krummel, Paul B.; Maione, Michela; Arduini, Jgor; Saito, Takuya; Yokouchi, Yoko; O'Doherty, Simon; Young, Dickon; Lunder, Chris Rene

American Geophysical Union (AGU)

2020

A survey of dioxin-like contaminants in fish from recreational fishing.

Heimstad, E.; Grønstøl, G.; Hetland, K.; Alarcon, J.; Rylander, C.; Mariussen, E.

2015

A surrogate-assisted measurement correction method for accurate and low-cost monitoring of particulate matter pollutants

Wojcikowski, Marek; Pankiewicz, Bogdan; Bekasiewicz, Adrian; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Vallejo, Islen; Ødegård, Rune Åvar; Ha, Hoai Phuong

Air pollution involves multiple health and economic challenges. Its accurate and low-cost monitoring is important for developing services dedicated to reduce the exposure of living beings to the pollution. Particulate matter (PM) measurement sensors belong to the key components that support operation of these systems. In this work, a modular, mobile Internet of Things sensor for PM measurements has been proposed. Due to a limited accuracy of the PM detector, the measurement data are refined using a two-stage procedure that involves elimination of the non-physical signal spikes followed by a non-linear correction of the responses using a multiplicative surrogate model. The correction layer is derived from the sparse and non-uniform calibration data, i.e., a combination of the measurements from the PM monitoring station and the sensor obtained in the same location over a specified (relatively short) interval. The device and the method have been both demonstrated based on the data obtained during three measurement campaigns. The proposed correction scheme improves the fidelity of PM measurements by around two orders of magnitude w.r.t. the responses for which the post-processing has not been considered. Performance of the proposed surrogate-assisted technique has been favorably compared against the benchmark approaches from the literature.

2022

A study of the relative expanded uncertainty formula for comparing low-cost sensor and reference measurements

Walker, Sam-Erik; Schneider, Philipp

In this report, we investigate the relative expanded uncertainty (REU) formula for comparing low-cost sensors (microsensors) and reference measurements. The purpose of the REU formula is to check if microsensor measurements follow the data quality objective (DQO) of the European Air Quality Directive 2008/50/EC to be considered equivalent to a reference instrument. The project aimed to obtain a good understanding of the REU formula for its proper use in current and future projects involving microsensors.

NILU

2020

A study of the Arctic UTLS region: the UTLS project and first results. NILU F

Stebel, K.; Hansen, G. , Orsolini, Y.

2005

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