Publikasjoner

Interim report on screening study. Abu Dhabi Air Quality Management Study. NILU OR

Bøhler, T.; Gamal, K.; Gjerstad, K.I.

Intermediate report for the project "Analysis of airborne- and surface measurements of the actinic flux": Actinic fluxes during ATOP96. NILU OR

Kylling, A.

International Arctic Systems for Observing the Atmosphere (IASOA): Recent and planned observatory upgrades in Canada, Greenland, Russia and the United States.

Darby, L.; Burkhart, J.; Dlugokencky, E.; Drummond, J.; Fogal, P.; Makshtas, A.; Martyschenko, V.; Schnell, R.; Uttal, T.; Vasel, B.

International Co-operative Programme on Materials, including Historic and Cultural Monuments. Environmental data report November 1998 to October 1999. NILU OR

Henriksen, J.F.; Arnesen, K.

International co-operative programme on materials, including historic and cultural monuments. Final environmental data report November 1997 to October 2001. NILU OR

Henriksen, J.F.; Arnesen, K.

International co-operative programme on materials, including historic and cultural monuments. Trend exposure programme 2008-2009. Environmental data report. October 2008 to December 2009. NILU OR

Grøntoft, T.; Arnesen, K.; Ferm, M.

Denne rapporten presenterer databasen i ICP Materialer for perioden Oktober 2009 ¿ Desember 2009. Den inkluderer miljødata fra ICP Materialer trend-eksponeringsprogrammet for 2008 ¿ 2009. Databasen består av meteorologiske data, og forurensningsdata som gasser og i partikler. HNO3 og mengde og sammensetning av partikkelavseting ved tilsmussing rapporteres også.

International conventions on aviation, shipping and coastal pollution. EUR 21154

Schlager, H.; Pacyna, J.

International field intercomparison measurements of atmospheric mercury species at Mace Head, Ireland.

Ebinghaus, R.; Jennings, S. G.; Schroeder, W. H.; Berg, T.; Donaghy, T.; Guentzel, J.; Kock, H. H.; Kvietkus, K.; Landing, W.; Mühleck, T.; Munthe, J.; Prestbo, E. M.; Schneeberger, D.; Slemr, F.; Sommar, J.; Urba, A.; Wallschläger, D.; Xiao, Z.

Interpolation and assimilation methods for European scale air quality assessment and mapping. Part 1: Review and recommendations. Final draft. ETC/ACC Technical Paper, 2005/7

Denby, B.; Horálek, J.; Walker, S.E.; Eben, K.; Fiala, J.

Interpolation methods for European scale air quality mapping and their application to population exposure estimates for PM10.

Horálek, J.; Denby, B.; Kurfürst, P.; de Smet, P.; de Leeuw, F.; Brabec, M.

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

Hassani, Amirhossein; Sousa Santos, Gabriela; 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.

Interpretation of mercury depletion events observed at Ny-Ålesund, Svalbard during spring 2002.

Wängberg, I.; Sommar, J.; Berg, T.; Gardfeldt, K.; Munthe, J.

Introducing a Nested Exposure Model for organic contaminants (NEM): Part 1. The physical environment.

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