Flanner, M. G., Arnheim, J. B.
, Cook, J. M., Dang, C., He, C., Huang, X., Singh, D., Skiles, S. M. K., Whicker, C. A. & Zender, C. S. (2021).
SNICAR-ADv3: A community tool for modeling spectral snow albedo.
Geoscientific Model Development,
14(12), 7673-7704.
https://doi.org/10.5194/gmd-14-7673-2021Fleischer, N. L., Flachs, E. M.
, Ketzel, M., Brandt, J., Khan, J., Gustavsson, P., Mehlum, I. S.
, Böttcher, M., Sejbaek, C. S., Bonde, J. P. & Wils, R. S. (2026).
Long-term exposure to ambient air pollution and risk of incident acute myocardial infarction in a nationwide register-based cohort study.
International Archives of Occupational and Environmental Health,
99(2), Artikel 9.
https://doi.org/10.1007/s00420-025-02198-9Fleming, L. E., Haines, A., Golding, B., Kessel, A., Cichowska, A.
, Sabel, C. E., Depledge, M. H., Sarran, C., Osborne, N. J., Whitmore, C., Cocksedge, N. & Bloomfield, D. (2014).
Data mashups.
International Journal of Environmental Research and Public Health,
11(2), 1725-1746.
https://doi.org/10.3390/ijerph110201725Fleskens, L.
, Nainggolan, D., Termansen, M., Hubacek, K. & Reed, M. S. (2013).
Regional consequences of the way land users respond to future water availability in Murcia, Spain.
Regional Environmental Change,
13, 615–632.
http://link.springer.com/article/10.1007%2Fs10113-012-0283-8Fletcher, D., Zhao, B., Grandin, G., Yang, J., Barra, M., Ruzic, M., Larsen, L. V., Iversen, S., Xu, Y., Chen, C., Banzhaf, E., Knopp, J., Luo, X., Wu, W., Vesuviano, G. & Jones, L. (2020, sep. 30).
Assessment of drivers and pressures leading to urban challenges across the ULLs, including spatial and temporal components. REGREEN Deliverable D2.1. REGREEN - Fostering nature‐based solutions for smart, green and healthy urban transitions in Europe and China. Horizon2020 Grant No. 821016.
https://doi.org/10.5281/zenodo.10607820Flick, H. M., Khan, F. R., Bokor, B., Vries, F. P. D., Garrard, S. L.
, Abate, T. G. & Beaumont, N. J. (2026).
Governing microplastics in the North-East Atlantic: The importance of regional frameworks in the absence of a global treaty.
Marine Policy,
191, Artikel 107173.
https://doi.org/10.1016/j.marpol.2026.107173Flindt, M. R., Lange, T., Wendländer, N. S., Steinfurth, R., Nielsen, B., Rask, C., Quintana, C. O., Svane, N., Kristensen, E., Kuusemäe, K., Rasmussen, E. K.
, Martinsen, L., Hasler, B. & Krause-Jensen, D. (2020).
Reetablering af ålegræs. I A. Bruhn (red.),
Marine virkemidler: Beskrivelse af virkemidlernes effekter og status for vidensgrundlag (s. 55-79). Aarhus University, DCE - Danish Centre for Environment and Energy.
http://dce2.au.dk/pub/SR368.pdfFlood, V. A., Strong, K., Whaley, C. H., Walker, K. A., Blumenstock, T., Hannigan, J. W., Mellqvist, J., Notholt, J., Palm, M., Röhling, A. N., Arnold, S., Beagley, S., Chien, R. Y.
, Christensen, J., Deushi, M., Dobricic, S., Dong, X., Fu, J. S., Gauss, M. ... Turnock, S. (2024).
Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements.
Atmospheric Chemistry and Physics,
24(2), 1079-1118.
https://doi.org/10.5194/acp-24-1079-2024Forbrich, I., Kutzbach, L., Wille, C.
, Becker, T., Wu, J. & Wilmking, M. (2011).
Cross-evaluation of measurements of peatland methane emissions on microform and ecosystem scales using high-resolution landcover classification and source weight modelling.
Agricultural and Forest Meteorology,
151(7), 864-874.
https://doi.org/10.1016/j.agrformet.2011.02.006Forchhammer, L. A.
, Møller, P., Riddervold, I. S., Bønløkke, J., Massling, A., Sigsgaard, T. & Loft, S. (2012).
Controlled human wood smoke exposure: oxidative stress, inflammation and microvascular function.
Particle and Fibre Toxicology,
9, 7.
https://doi.org/10.1186/1743-8977-9-7Forkel, R., Werhahn, J.
, Hansen, A. B., McKeen, S., Peckham, S., Grell, G. & Suppan, P. (2012).
Effect of aerosol-radiation feedback on regional air quality - A case study with WRF/Chem.
Atmospheric Environment,
53, 202-211.
https://doi.org/10.1016/j.atmosenv.2011.10.009Forns, J., Sunyer, J., Garcia-Esteban, R., Porta, D., Ghassabian, A., Giorgis-Allemand, L., Gong, T., Gehring, U., Sørensen, M., Standl, M., Sugiri, D., Almqvist, C., Andiarena, A., Badaloní, C., Beelen, R., Berdel, D., Cesaroni, G., Charles, M. A., Eriksen, K. T. ... Guxens, M. (2018).
Air Pollution Exposure During Pregnancy and Symptoms of Attention Deficit and Hyperactivity Disorder in Children in Europe.
Epidemiology (Cambridge, Mass.),
29(5), 618-622.
https://doi.org/10.1097/EDE.0000000000000874Fors, E. O., Rissler, J.
, Massling, A., Svenningsson, B., Andreae, M. O., Dusek, U., Frank, G. P., Hoffer, A.
, Bilde, M., Kiss, G., Janitsek, S., Henning, S., Facchini, M. C. & Decesari, S. (2009).
Hygroscopic properties of Amazonian biomass burning and European background HULIS and investigation of their effects on surface tension with two models linking H-TDMA to CCNC data.
Atmospheric Chemistry and Physics Discussions,
9(6), 26925-26967.
https://doi.org/10.5194/acp-10-5625-2010Forsius, M., Posch, M., Aherne, J., Reinds, G. J.
, Christensen, J. H. & Hole, L. (2010).
Assessing the Impacts of Long-Range Sulfur and Nitrogen Deposition on Arctic and Sub-Arctic Ecosystems.
Ambio,
39(2), 136-147.
https://doi.org/10.1007/s13280-010-0022-7Fox, B. G., Thorn, R. M. S.
, Anesio, A., Cox, T., Attridge, J. W. & Reynolds, D. M. (2018).
Microbial Processing and Production of Aquatic Fluorescent Organic Matter in a Model Freshwater System.
Water,
11(1), Artikel 10.
https://doi.org/10.3390/w11010010Frank, R.
, Sanderson, H., Hao, C., Headley, J. V. & Solomon, K. R. (2004).
Analysis of Naphtenic Acid Toxicity using Quantitative Structure Activity Relationship (QSAR) Models. Poster-session præsenteret på SETAC 4th World Congress, Portland, USA.
Frank, R.
, Sanderson, H., Kavanagh, R., Burnison, K., Headley, J. & Solomon, K. (2010).
Use of a (Quantitative) Structure-Activity Relationship [(Q)SAR] model to predict the toxicity of naphthenic acids.
Journal of Toxicology and Environmental Health. Part A,
73, 319-329.
https://doi.org/10.1080/15287390903421235Franke, J., Bartzis, J. G., Barmpas, F.
, Berkowicz, R., Brzozowski, K., Buccolieri, R., Carissimo, B., Costa, A., Sabatino, D., Efthimiou, G., Goricsan, I., Hellsten, A.
, Ketzel, M., Leifl, B., Nuterman, R.
, Olesen, H. R., Polreich, E., Santiago, J. & Tavares, R. (2008).
The MUST model evaluation exercise: Statistical analysis of modelling results.
Hrvatski Meteoroloski Casopis,
43(1), 414-418.
Franke, A., Falk, K., Hawkshaw, K., Ambrose, S., Anderson, D. L., Bente, P. J., Booms, T., Burnham, K. K., Ekenstedt, J., Fufachev, I., Ganusevich, S., Johansen, K., Johnson, J. A., Kharitonov, S., Koskimies, P., Kulikova, O., Lindberg, P., Lindström, B. O., Mattox, W. G.
... Vorkamp, K. (2020).
Status and trends of circumpolar peregrine falcon and gyrfalcon populations.
Ambio,
49(3), 762-783.
https://doi.org/10.1007/s13280-019-01300-zFrantzen, C. A.
, Kot, W., Pedersen, T. B., Ardö, Y. M., Broadbent, J. R., Neve, H.
, Hansen, L. H., Dal Bello, F., Østlie, H. M. & Kleppen, H. P. (2017).
Genomic characterization of dairy associated Leuconostoc species and diversity of leuconostocs in undefined mixed mesophilic starter cultures.
Frontiers in Microbiology,
8.
https://doi.org/10.3389/fmicb.2017.00132Fraser, E. D. G., Simelton, E.
, Termansen, M., Gosling, S. N. & South, A. (2013).
"Vulnerability hotspots”: Integrating socio-economic and hydrological models to identify where cereal production may decline in the future due to climate change induced drought.
Agricultural and Forest Meteorology,
170, 195-205.
https://doi.org/10.1016/j.agrformet.2012.04.008Fraser, E. D. G.
, Termansen, M., Sun, N., Guan, D., Feng, K. & Yu, Y. (2007).
Using past climate variability to understand how food systems are resilient to future climate change. I
Sustainable Food Production and Ethnics (s. 139 - 145). Wageningen Academic Publicers.
Frederickson, L. B., Lim, S.
, Russell, H. S., Kwiatkowski, S., Bonomaully, J., Schmidt, J. A.
, Hertel, O., Mudway, I., Barratt, B. & Johnson, M. S. (2020).
Monitoring Excess Exposure to Air Pollution for Professional Drivers in London Using Low-Cost Sensors.
Atmosphere,
11(7), Artikel 749.
https://doi.org/10.3390/atmos11070749
Frederickson, L. B., Sidaraviciute, R., Schmidt, J. A.
, Hertel, O. & Johnson, M. S. (2022).
Are dense networks of low-cost nodes really useful for monitoring air pollution? A case study in Staffordshire.
Atmospheric Chemistry and Physics,
22(21), 13949-13965.
https://doi.org/10.5194/acp-22-13949-2022
Frederickson, L. B., Russell, H. S., Fessa, D., Khan, J., Schmidt, J. A., Johnson, M. S.
& Hertel, O. (2023).
Hyperlocal air pollution in an urban environment - measured with low-cost sensors.
Urban Climate,
52, Artikel 101684.
https://doi.org/10.1016/j.uclim.2023.101684
Frederickson, L. B., Russell, H. S., Raasch, S.
, Zhang, Z., Schmidt, J. A.
, Johnson, M. S. & Hertel, O. (2024).
Urban vertical air pollution gradient and dynamics investigated with low-cost sensors and large-eddy simulations.
Atmospheric Environment,
316, Artikel 120162.
https://doi.org/10.1016/j.atmosenv.2023.120162
Frederickson, L. B., Russell, H. S., Sørensen, M. O. B., Schmidt, J. A.
, Hertel, O. & Johnson, M. S. (2025).
Hyperlocal air pollution in London: Nitrogen dioxide measured with a low-cost sensor network and mobile monitoring.
Atmospheric Environment,
363, Artikel 121561.
https://doi.org/10.1016/j.atmosenv.2025.121561
