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Fant 9998 publikasjoner. Viser side 371 av 400:

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Towards a protocol for validating land surface temperature for SLSTR. NILU F

Ghent, D.; Schneider, P.; Remedios, J.

2013

Towards a reliable assessment of nanomaterial health effects using advanced biological models and assays (NanoBioReal)

Cimpan, Mihaela Roxana; Rios-Mondragon, Ivan; Camassa, Laura Maria Azzurra; Puntes, Victor Franco; Skrętna, Agnieszka Gajewicz; Busquets, Marti; Longhin, Eleonora Marta; Mariussen, Espen; Hofshagen,, Ole-Bendik; Bastus, Neus Gómez; Elje, Elisabeth; Shaposhnikov, Sergey; Dusinska, Maria; Espevik, Terje; Nilsen, Asbjørn Magne; Rundén-Pran, Elise; Zienolddiny-Narui, Shan

2024

Towards a remote-sensing-driven model of isoprene emissions from Alpine tundra

Westergaard-Nielsen, Andreas; Maigaard, R S; Davie-Martin, Cleo Lisa; Seco, Roger; Holst, T; Pirk, Norbert; Laursen, Simon Nyboe; Rinnan, Riikka

Abstract This study investigates isoprene emissions in a high-latitude Alpine tundra ecosystem, focusing on using near-field remote sensing of surface temperatures, the photochemical reflectance index (PRI) and normalized difference vegetation index (NDVI), and meteorological measurements to model these emissions. Isoprene is a key biogenic volatile organic compound (BVOC) emitted by select plants, which can impact atmospheric chemistry and climate. Increased temperatures, particularly in high latitudes, may enhance isoprene emissions due to extended growing seasons and heightened plant stress. The research was conducted in Finse, Norway, where isoprene and CO 2 fluxes were measured with eddy covariance alongside spectral and meteorological data, and surface temperature. A random forest (RF) model was developed to predict isoprene fluxes, considering the variable importance of different environmental factors. The results showed that surface temperature and CO 2 flux were consistently important predictors, across three differential temporal data aggregations (hourly, daily, weekly), while the PRI demonstrated low predictive power, possibly due to the heterogeneous vegetation and variable light conditions. The NDVI was more effective than anticipated, likely linked to phenological changes in vegetation. Model performance varied with temporal resolution, with weekly data achieving the highest predictive accuracy ( R 2 up to 0.76). The RF model accurately reflected seasonal emission patterns but underestimated short-term peaks, suggesting the potential to combine machine learning with process-based modelling. This research highlights the promise of proxy data from remote sensing for scaling BVOC emission models to regional levels, essential for understanding climate impacts in Arctic ecosystems.

2025

Towards a system of citizen-based environmental health governance: The Citi-Sense project main study.

Cole-Hunter, T.; Donaire, D.; Martinez, T.; Santiago-Ateknea, L.; Keune, H.; Hurley, F.; Liu, H.-Y.; Bartonova, A.; Nieuwenhuijsen, M.

2015

Towards a temporally and spatially resolved Nested Exposure Model for organic contaminants in Arctic ecosystems

Krogseth, Ingjerd Sunde; Breivik, Knut; Eckhardt, Sabine; MacLeod, M.; Wania, F.

2019

Towards a transnational system of supersites for forest monitoring and research in Europe - an overview on present state and future recommendations.

Fischer, R.; Aas, W.; De Vries, W.; Clarke, N.; Cudlin, P.; Leaver, D.; Lundin, L.; Matteucci, G.; Matyssek, R.; Mikkelsen, T.N.; Mirtl, M.; Öztürk, Y.; Papale, D.; Potocic, N.; Simpson, D.; Tuovinen, L.-P.; Vesala, T.; Wieser, G.; Paoletti, E.

2011

Towards an alternative testing strategy for nanomaterials used in nanomedicine: Lessons from NanoTEST.

Dusinska, M.; Boland, S.; Saunders, M.; Juillerat-Jeanneret, L.; Tran, L.; Pojana, G.; Marcomini, A.; Volkovova, K.; Tulinska, J.; Knudsen, L.E.; Gombau, L.; Whelan, M.; Collins, A.R.; Marano, F,, Housiadas, C.; Bilanicova, D.; Kenzaoui, B.H.; Carreira, S.C.; Magdolenova, Z.; Fjellsbø, L.; Huk, A.; Handy, R.; Walker, L.; Barancokova, M.; Bartonova, A.; Burello, E.; Castell, J.; Cowie, H.; Drlickova, M.; Guadagnini, R.; Harris, H.; Harju, M.; Heimstad, E.S.; Hurbankova, M.; Kazimirova, A.; Kovacikova, Z.; Kuricova, M.; Liskova, A.; Milcamps, A.; Neubauerova, E.; Palosaari, T.; Papazafiri, P.; Pilou, M.; Poulsen, M.S.; Ross, B.; Rundén-Pran, E.; Sebekova, K.; Staruchova, M.; Vallotto, D.; Worth, A.

2015

Towards an integrated data-driven infrastructure (InfraNor)

Denkmann, Rudolf; Aas, Wenche; Pedersen, Åshild Ønvik; Berge, Jørgen; Storvold, Rune; Godøy, Øystein; Isaksen, Kjetil; Fjæraa, Ann Mari; Gulbrandsen, Njål; Christiansen, Hanne H; Gallet, Jean-Charles; Mevold, Kjetil; Malnes, Eirik; Ravolainen, Virve; Schuler, Thomas; Tømmervik, Hans; Nilsen, Frank; Fer, Ilker; Sivertsen, Agnar Holten; Jawak, Shridhar Digambar; Lihavainen, Heikki

2025

Towards an operational implementation of particle aggregation in ash dispersion models. NILU F

Mastin, L.G.; Van Eaton, A.R.; Durant, A.J.; Schwaiger, H.F.; Denlinger, R.P.

2013

Towards better exploitation of Satellite data for monitoring Air Quality in Norway using downscaling techniques

Stebel, Kerstin; Schneider, Philipp; Kylling, Arve; Svendby, Tove Marit

2020

Towards better exploitation of Satellite data for monitoring Air Quality in Norway using downscaling techniques (SAT4AQN). Final project report.

Stebel, Kerstin; Schneider, Philipp; Kylling, Arve; Svendby, Tove Marit

The main goal for the “Towards better exploitation of Satellite data for monitoring Air Quality in Norway using
downscaling techniques” (Sat4AQN) project was to evaluate the potential of spatially downscaling satellite data using a
high-resolution Chemical Transport Model (CTM) to spatial scales that are more relevant for monitoring air quality in
urban areas and regional background sites in Norway. For this demonstration project, we focused on satellite aerosol
optical density (AOD) and particulate matter (PM) estimates.

NILU

2020

Towards cleaner air for Europe. Science, tools and applications. Part 1: Results from the EUROTRAC-2 synthesis and integration project.

Midgley, P.; Builtjes, P.; Fowler, D.; Harrison, R.; Hewitt, N.; Moussiopoulos, N.; Noone, K.; Tørseth, K.; Volz-Thomas, A.

2003

Bok

Towards consistent land surface temperature products from multiple satellite instruments: validation results from WACMOS-ET.

Schneider, P.; Martins, J.; Pires, A.; Trigo, I.; Jimenez, C.; Prigent, C.; Prata, F.; Goettsche, F.; Hook, S.

2015

Towards consistent land surface temperature products from multiple satellite instruments: validation results from WACMOS-ET.

Schneider, P.; Martins, J.; Pires, A.; Trigo, I.; Jimenez, C.; Prigent, C.; Prata, F.; Goettsche, F.; Hook, S.

2015

Towards creating a ESA CCI Level 4 root zone soil moisture product using land surface data assimilation

Blyverket, Jostein; Lahoz, William A.; Hamer, Paul; Bertino, Laurent

2018

Towards creating a ESA CCI soil moisture root-zone product.

Blyverket, J.; Hamer, P.; Bertino, L.; Gruber, A.; Lahoz, W.

2017

Towards crowd-sourced air quality and physical activity monitoring by a low-cost mobile platform. Lecture Notes in Computer Science, 9677

Yang, B.; Castell, N.; Pei, J.; Du, Y.; Gebremedhin, A.; Kirkevold, Ø.

2016

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