Publikasjoner

Arktis brenner! Hvordan kanadiske skogbranner påvirker oss alle.

Stebel, Kerstin; Eckhardt, Sabine; Evangeliou, Nikolaos; Schneider, Philipp

Årsmiddelkonsentrasjoner av SO2 og NOx i Oslo 1960-2000. Modellberegninger. NILU OR

Gram, F.

Det er beregnet felter med årsutslipp av SO2 og NOx fra hovedkildegruppene trafikk, fyring og industri i Oslo-området for 40-årsperioden. Felter med årsmiddelkonsentrasjoner er beregnet med den gaussiske spredningsmodellen KILDER. Resultatene er sammenliknet med målte SO2 verdier for periodene 1957-63.

Årsrapport 2023. Nasjonalt referanselaboratorium for luftkvalitetsmålinger.

Marsteen, Leif; Johnsrud, Mona; Hak, Claudia; Dauge, Franck Rene; Tørnkvist, Kjersti Karlsen

Denne rapporten oppsummerer oppgavene til Nasjonalt referanselaboratorium for luftkvalitetsmålinger (NRL), delkontrakt 1b, for året 2023. Dette er første årsrapport etter at ny kontrakt trådte i kraft 1. desember 2022.

NILU

Årsrapport 2025. Nasjonalt referanselaboratorium for luftkvalitetsmålinger

Marsteen, Leif; Johnsrud, Mona; Hak, Claudia; Tørnkvist, Kjersti Karlsen; Vo, Dam Thanh; Amundsen, Filip

Denne rapporten oppsummerer oppgavene til Nasjonalt referanselaboratorium for luftkvalitetsmålinger (NRL), delkontrakt 1b, for året 2025.

NILU

Artificial cloud test confirms volcanic ash detection using infrared spectral imaging.

Prata, A.J.; Dezitter, F.; Davies, I.; Weber, K.; Birnfeld, M.; Moriano, D.; Bernardo, C.; Vogel, A.; Prata, G.S.; Mather, T.A.; Thomas, H.E.; Cammas, J.; Weber, M.

Artificial intelligence models with multivariate inputs for calibration of low cost PM sensors.

Topalovic, D. B.; Davidovic, M.; Bartonova, A.; Jovaševic-Stojanovic, M.

Artificial turf. Preliminary study on potential genotoxicity of nanoparticles generated from football pitches. NILU report

Rundén-Pran, E.; Dusinska, M.; El Yamani, N.; Dauge, F.; Knudsen, S.

Ash and ice clouds during the Mt Kelud February 2014 eruption as interpreted from IASI and AVHRR/3 observations.

Kylling, A.

Ash and sulfur dioxide in the 2008 eruptions of Okmok and Kasatochi: Insights from high spectral resolution satellite measurements.

Prata, A.J.; Gangale, G.; Clarisse, L.; Karagulian, F.

Ash metrics for European and trans‐atlantic air routes during the Eyjafjallajökull eruption 14 April to 23 May 2010

Prata, A. J.; Kristiansen, Nina Iren; Thomas, Helen E.; Stohl, Andreas

Assessing air quality in Norway and Europe: an overview

Bartonova, Alena

Assessing climatic, hydrogeological, and anthropogenic factors shaping sustainable soil management: A case study in northern Germany

Gollo, Vahid Sobhi; Hassani, Amirhossein; Fröhle, Peter; Shokri, Nima

Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area

Pisso, Ignacio; Patra, Prabir; Takigawa, Masayuki; Machida, Toshinobu; Matsueda, Hidekazu; Sawa, Yousuke

BACKGROUND: In order to use in situ measurements to constrain urban anthropogenic emissions of carbon dioxide (CO2), we use a Lagrangian methodology based on diffusive backward trajectory tracer reconstructions and Bayesian inversion. The observations of atmospheric CO2 were collected within the Tokyo Bay Area during the Comprehensive Observation Network for TRace gases by AIrLiner (CONTRAIL) flights, from the Tsukuba tall tower of the Meteorological Research Institute (MRI) of the Japan Meteorological Agency and at two surface sites (Dodaira and Kisai) from the World Data Center for Greenhouse Gases (WDCGG).
RESULTS: We produce gridded estimates of the CO2 emissions and calculate the averages for different areas within the Kanto plain where Tokyo is located. Using these inversions as reference we investigate the impact of perturbing different elements in the inversion system. We modified the observations amount and location (surface only sparse vs. including aircraft CO2 observations), the background representation, the wind data used to drive the transport model, the prior emissions magnitude and time resolution and error parameters of the inverse model.
CONCLUSIONS: Optimized fluxes were consistent with other estimates for the unperturbed simulations. Inclusion of CONTRAIL measurements resulted in significant differences in the magnitude of the retrieved fluxes, 13% on average for the whole domain and of up to 21% for the spatiotemporal cells with the highest fluxes. Changes in the background yielded differences in the retrieved fluxes of up to 50% and more. Simulated biases in the modelled transport cause differences in the retrieved fluxes of up to 30% similar to those obtained using different meteorological winds to advect the Lagrangian trajectories. Perturbations to the prior inventory can impact the fluxes by ~ 10% or more depending on the assumptions on the error covariances. All of these factors can cause significant differences in the estimated flux, and highlight the challenges in estimating regional CO2 fluxes from atmospheric observations.