FASST - FAst Scenario Screening Tool

The JRC FASST tool

FAst Scenario Screening Tool (FASST) is a JRC developed air quality integrated assessment model to support the design of air pollution abatement policies by means of scenario analysis (van Dingenen et al., 2018). FASST is a scenario screening tool based on source-receptor relationships using as an input annual pollutant emission aggregated at national or regional level to compute atmospheric pollutant concentrations and a broad range of pollutant-related metrics of impacts on:
a) health (mortality, morbidity),
b) agricultural crop yields, and
c) radiative forcing of short-lived climate pollutants.
The tool has recently developed a module to estimate costs associated with the health outcomes (benefits). FASST has been extensively used for many policy-oriented scientific applications.
You find a list of publications here.

FASST web tool

In this site is provided access to a web version of the FASST tool specifically designed to compare a scenario (policy case) with a counterfactual case (baseline). The target policy domains are national to regional air quality policies, or air pollutant scenarios linked to other policy domains (e.g. climate policy). The tool is particularly user-friendly, web-based, flexible, does not require any coding or modelling experience and can be applied from the global to the regional domain. The user can make use of a number of built-in scenario groups or apply custom emission scenarios. To access the web-tool click here.


Belis, C.A., Matkovic, V., Ballocci, M., Jevtic, M., Millo, G., Mata, E., Van Dingenen, R., 2023
Environment International 182, 108347. doi:10.1016/j.envint.2023.108347
Belis, C.A.; Van Dingenen, R. 2023
Atmospheric Chemistry and Physics. doi:10.5194/acp-23-8225-2023
Pisoni, E., P. Thunis, A. De Meij, J. Wilson, B. Bessagnet, M. Crippa, D. Guizzardi, C. A. Belis, and R. Van Dingenen. 2023
Environment International 182, 108347. doi:10.1016/j.envint.2023.108347
Belis, C. A., R. Van Dingenen, Z. Klimont, and F. Dentener. 2022
Journal of Environmental Management 319. doi:10.1016/j.jenvman.2022.115738
Dentener, F., L. Emberson, S. Galmarini, G. Cappelli, A. Irimescu, D. Mihailescu, R. Van Dingenen, and M. Van Den Berg. 2020
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378 (2183). doi:10.1098/rsta.2020.0188
Gu, B., L. Zhang, R. V. Dingenen, M. Vieno, H. J. M. V. Grinsven, X. Zhang, S. Zhang, et al. 2021
Science 374 (6568): 758-762. doi:10.1126/science.abf8623
Harmsen, M. J. H. M., P. van Dorst, D. P. van Vuuren, M. van den Berg, R. Van Dingenen, and Z. Klimont. 2020
Climatic Change 163 (3): 1519-1538. doi:10.1007/s10584-020-02800-8
Kühn, T., K. Kupiainen, T. Miinalainen, H. Kokkola, V. -V Paunu, A. Laakso, J. Tonttila, et al. 2020
Atmospheric Chemistry and Physics 20 (9): 5527-5546. doi:10.5194/acp-20-5527-202
Sampedro, J., S. J. Smith, I. Arto, M. Gonzàlez-Eguino, A. Markandya, K. M. Mulvaney, C. Pizarro-Irizar, and R. Van Dingenen. 2020
Environment International 136. doi:10.1016/j.envint.2020.105513
Shindell, D., G. Faluvegi, P. Kasibhatla, and R. Van Dingenen. 2019
Earth's Future 7 (2): 101-112. doi:10.1029/2018EF001030
Van Dingenen, R., F. Dentener, M. Crippa, J. Leitao, E. Marmer, S. Rao, E. Solazzo, and L. Valentini. 2018
Atmospheric Chemistry and Physics 18 (21): 16173-16211. doi:10.5194/acp-18-16173-2018
Vandyck, T., K. Keramidas, A. Kitous, J. V. Spadaro, R. Van Dingenen, M. Holland, and B. Saveyn. 2018
Nature Communications 9 (1). doi:10.1038/s41467-018-06885-9
Vandyck, T., S. Rauner, J. Sampedro, E. Lanzi, L. A. Reis, M. Springmann, and R. V. Dingenen. 2021
Environmental Research Letters 16 (4). doi:10.1088/1748-9326/abef8d


To contact us please send an e-mail to JRC-FASST@ec.europa.eu.