Literature

This page lists all scientific references cited in the FLEXPART 11 documentation. Citations in the text link to the entries below.

FLEXPART model description

  • Bakels, L., Tatsii, D., Tipka, A., Thompson, R., Dütsch, M., Blaschek, M., Seibert, P., Baier, K., Bucci, S., Cassiani, M., Eckhardt, S., Groot Zwaaftink, C., Henne, S., Kaufmann, P., Lechner, V., Maurer, C., Mulder, M. D., Pisso, I., Plach, A., Subramanian, R., Vojta, M., and Stohl, A. (2024): FLEXPART version 11: improved accuracy, efficiency, and flexibility. Geoscientific Model Development, 17, 7595-7627. https://doi.org/10.5194/gmd-17-7595-2024
  • Groot Zwaaftink, C. D., Henne, S., Thompson, R. L., Dlugokencky, E. J., Machida, T., Paris, J.-D., Sasakawa, M., Segers, A., Sweeney, C., and Stohl, A. (2018): Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data. Geoscientific Model Development, 11, 4469-4487. https://doi.org/10.5194/gmd-11-4469-2018
  • Pisso, I., Sollum, E., Grythe, H., Kristiansen, N. I., Cassiani, M., Eckhardt, S., Arnold, D., Morton, D., Thompson, R. L., Groot Zwaaftink, C. D., Evangeliou, N., Sodemann, H., Haimberger, L., Henne, S., Brunner, D., Burkhart, J. F., Fouilloux, A., Brioude, J., Philipp, A., Seibert, P., and Stohl, A. (2019): The Lagrangian particle dispersion model FLEXPART version 10.4. Geoscientific Model Development, 12, 4955-4997. https://doi.org/10.5194/gmd-12-4955-2019
  • Stohl, A., Hittenberger, M., and Wotawa, G. (1998): Validation of the lagrangian particle dispersion model FLEXPART against large-scale tracer experiment data. Atmospheric Environment, 32, 4245-4264. https://doi.org/10.1016/S1352-2310(98)00184-8
  • Stohl, A., Forster, C., Frank, A., Seibert, P., and Wotawa, G. (2005): Technical note: The Lagrangian particle dispersion model FLEXPART version 6.2. Atmospheric Chemistry and Physics, 5, 2461-2474. https://doi.org/10.5194/acp-5-2461-2005
  • Tipka, A., Haimberger, L., and Seibert, P. (2020): Flex_extract v7.1.2 – a software package to retrieve and prepare ECMWF data for use in FLEXPART. Geoscientific Model Development, 13, 5277-5310. https://doi.org/10.5194/gmd-13-5277-2020

Transport, turbulence and convection

Settling and deposition

  • Bagheri, G., and Bonadonna, C. (2016): On the drag of freely falling non-spherical particles. Powder Technology, 301, 526-544. https://doi.org/10.1016/j.powtec.2016.06.015
  • Hittmeir, S., Philipp, A., and Seibert, P. (2018): A conservative reconstruction scheme for the interpolation of extensive quantities in the Lagrangian particle dispersion model FLEXPART. Geoscientific Model Development, 11, 2503-2523. https://doi.org/10.5194/gmd-11-2503-2018
  • Näslund, E., and Thaning, L. (1991): On the Settling Velocity in a Nonstationary Atmosphere. Aerosol Science and Technology, 14, 247-256. https://doi.org/10.1080/02786829108959487
  • Sutherland, W. (1893): The viscosity of gases and molecular force. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 36, 507-531. https://doi.org/10.1080/14786449308620508
  • Tatsii, D., Bucci, S., Bhowmick, T., Guettler, J., Bakels, L., Bagheri, G., and Stohl, A. (2023): Shape Matters: Long-Range Transport of Microplastic Fibers in the Atmosphere. Environmental Science & Technology, 58, 671-682. https://doi.org/10.1021/acs.est.3c08209
  • Wang, X., Zhang, L., and Moran, M. D. (2014): Development of a new semi-empirical parameterization for below-cloud scavenging of size-resolved aerosol particles by both rain and snow. Geoscientific Model Development, 7, 799-819. https://doi.org/10.5194/gmd-7-799-2014

Chemistry and decay

  • Atkinson, R. (1997): Gas-Phase Tropospheric Chemistry of Volatile Organic Compounds: 1. Alkanes and Alkenes. Journal of Physical and Chemical Reference Data, 26, 215-290. https://doi.org/10.1063/1.556012
  • Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore, A. M., Li, Q., Liu, H. Y., Mickley, L. J., and Schultz, M. G. (2001): Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation. Journal of Geophysical Research: Atmospheres, 106, 23073-23095. https://doi.org/10.1029/2001JD000807

Source–receptor relationships

  • Eckhardt, S., Cassiani, M., Evangeliou, N., Sollum, E., Pisso, I., and Stohl, A. (2017): Source–receptor matrix calculation for deposited mass with the Lagrangian particle dispersion model FLEXPART v10.2 in backward mode. Geoscientific Model Development, 10, 4605-4618. https://doi.org/10.5194/gmd-10-4605-2017
  • Seibert, P., and Frank, A. (2004): Source-receptor matrix calculation with a Lagrangian particle dispersion model in backward mode. Atmospheric Chemistry and Physics, 4, 51-63. https://doi.org/10.5194/acp-4-51-2004

Meteorological input

Application studies

  • Arnold, D., Maurer, C., Wotawa, G., Draxler, R., Saito, K., and Seibert, P. (2015): Influence of the meteorological input on the atmospheric transport modelling with FLEXPART of radionuclides from the Fukushima Daiichi nuclear accident. Journal of Environmental Radioactivity, 139, 212-225. https://doi.org/10.1016/j.jenvrad.2014.02.013
  • Baier, K., Duetsch, M., Mayer, M., Bakels, L., Haimberger, L., and Stohl, A. (2022): The Role of Atmospheric Transport for El Niño‐Southern Oscillation Teleconnections. Geophysical Research Letters, 49, e2022GL100906. https://doi.org/10.1029/2022GL100906
  • Dada, L., Angot, H., Beck, I., Baccarini, A., Quéléver, L. L. J., Boyer, M., Laurila, T., Brasseur, Z., Jozef, G., de Boer, G., Shupe, M. D., Henning, S., Bucci, S., Dütsch, M., Stohl, A., Petäjä, T., Daellenbach, K. R., Jokinen, T., and Schmale, J. (2022): A central arctic extreme aerosol event triggered by a warm air-mass intrusion. Nature Communications, 13, 5290. https://doi.org/10.1038/s41467-022-32872-2
  • Eckhardt, S., Pisso, I., Evangeliou, N., Zwaaftink, C. G., Plach, A., McConnell, J. R., Sigl, M., Ruppel, M., Zdanowicz, C., Lim, S., Chellman, N., Opel, T., Meyer, H., Steffensen, J. P., Schwikowski, M., and Stohl, A. (2023): Revised historical Northern Hemisphere black carbon emissions based on inverse modeling of ice core records. Nature Communications, 14, 271. https://doi.org/10.1038/s41467-022-35660-0
  • Groot Zwaaftink, C. D., Arnalds, Ó., Dagsson-Waldhauserova, P., Eckhardt, S., Prospero, J. M., and Stohl, A. (2017): Temporal and spatial variability of Icelandic dust emissions and atmospheric transport. Atmospheric Chemistry and Physics, 17, 10865-10878. https://doi.org/10.5194/acp-17-10865-2017
  • Martinsson, J., Monteil, G., Sporre, M. K., Kaldal Hansen, A. M., Kristensson, A., Eriksson Stenström, K., Swietlicki, E., and Glasius, M. (2017): Exploring sources of biogenic secondary organic aerosol compounds using chemical analysis and the FLEXPART model. Atmospheric Chemistry and Physics, 17, 11025-11040. https://doi.org/10.5194/acp-17-11025-2017
  • Moxnes, E. D., Kristiansen, N. I., Stohl, A., Clarisse, L., Durant, A., Weber, K., and Vogel, A. (2014): Separation of ash and sulfur dioxide during the 2011 Grímsvötn eruption. Journal of Geophysical Research: Atmospheres, 119, 7477-7501. https://doi.org/10.1002/2013JD021129
  • Peng, D., Zhou, T., Sun, Y., and Lin, A. (2022): Interannual Variation in Moisture Sources for the First Rainy Season in South China Estimated by the FLEXPART Model. Journal of Climate, 35, 745-761. https://doi.org/10.1175/JCLI-D-21-0289.1
  • Ryder, C. L., Highwood, E. J., Walser, A., Seibert, P., Philipp, A., and Weinzierl, B. (2019): Coarse and giant particles are ubiquitous in Saharan dust export regions and are radiatively significant over the Sahara. Atmospheric Chemistry and Physics, 19, 15353-15376. https://doi.org/10.5194/acp-19-15353-2019
  • Stohl, A., Andrews, E., Burkhart, J. F., Forster, C., Herber, A., Hoch, S. W., Kowal, D., Lunder, C., Mefford, T., Ogren, J. A., Sharma, S., Spichtinger, N., Stebel, K., Stone, R., Ström, J., Tørseth, K., Wehrli, C., and Yttri, K. E. (2006): Pan‐Arctic enhancements of light absorbing aerosol concentrations due to North American boreal forest fires during summer 2004. Journal of Geophysical Research: Atmospheres, 111, 2006JD007216. https://doi.org/10.1029/2006JD007216
  • Stohl, A., Prata, A. J., Eckhardt, S., Clarisse, L., Durant, A., Henne, S., Kristiansen, N. I., Minikin, A., Schumann, U., Seibert, P., Stebel, K., Thomas, H. E., Thorsteinsson, T., Tørseth, K., and Weinzierl, B. (2011): Determination of time- and height-resolved volcanic ash emissions and their use for quantitative ash dispersion modeling: the 2010 Eyjafjallajökull eruption. Atmospheric Chemistry and Physics, 11, 4333-4351. https://doi.org/10.5194/acp-11-4333-2011
  • Stohl, A., Seibert, P., Wotawa, G., Arnold, D., Burkhart, J. F., Eckhardt, S., Tapia, C., Vargas, A., and Yasunari, T. J. (2012): Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant: determination of the source term, atmospheric dispersion, and deposition. Atmospheric Chemistry and Physics, 12, 2313-2343. https://doi.org/10.5194/acp-12-2313-2012
  • Vojta, M., Plach, A., Thompson, R. L., and Stohl, A. (2022): A comprehensive evaluation of the use of Lagrangian particle dispersion models for inverse modeling of greenhouse gas emissions. Geoscientific Model Development, 15, 8295-8323. https://doi.org/10.5194/gmd-15-8295-2022
  • Zhu, C., Kanaya, Y., Takigawa, M., Ikeda, K., Tanimoto, H., Taketani, F., Miyakawa, T., Kobayashi, H., and Pisso, I. (2020): FLEXPART v10.1 simulation of source contributions to Arctic black carbon. Atmospheric Chemistry and Physics, 20, 1641-1656. https://doi.org/10.5194/acp-20-1641-2020

Software and data sets

  • Henne, S., Brunner, D., and Groot Zwaaftink, C. (2018): FLEXPART 8-CTM-1.1: Atmospheric Lagrangian Particle Dispersion Model for global tracer transport. Zenodo. https://doi.org/10.5281/zenodo.1249190

Documentation of earlier FLEXPART versions