News

  • November 2024

    Demonstration of the near-real time database

    The Sense4Fire project provided near-real time estimates of fire emissions for the Amazon/Cerrado for the year 2024. Thereby we provided three updates at the end of July, end of August and end of September 2024. This demonstrates the near-real time capabilities of the GFA-S4F and TUD-S4F approaches. The near-real time results of the fire emissions in 2024 have been presented and discussed with the scientific community at various scientific events:

    - Fire Modelling Development Brainstorming Workshop; Leverhulme Centre for Wildfire, Science and Society; 16-18 September 2024, Dartington Hall, UK

    - 13th EARSeL Forest Fires Special Interest Group Workshop; 19-20 September 2024, Milano, Italy

    - Future Focus Wildfires. Community forum on Earth Observation for wildfires monitoring; EUMETSAT; 26-28 November 2024, Darmstadt, Germany | [Presentation PDF]

     

     

  • October 2024

    Fire season in the Amazon 2024: Near-real time database online

    The Amazon experienced an exceptional fire season in 2024. The Sense4Fire project provided near-real time estimates of fire emissions during this season with the GFA-S4F and TUD-S4F approaches. Forest fires caused especially higher than normal emissions in Bolivia. Estimated emissions of carbon monoixde (CO) are between 56 (GFA-S4F) and 62 Tg (TUD-S4F) for the period August adn September 2024.

    Data overview and download

     

  • April 2024

    EGU General Assembly 2024

    The Sense4Fire project partners attended and presented at EGU General Assembly 2024 at the Vienna International Conference Center, Austria from the 14th-19th April

    Matthias Forkel (TUD) Multiple approaches for quantifying fuels, combustion dynamics, and regional fire emissions in the Amazon and Cerrado | [PDF]

    Niels Andela (BeZero) New insights on global fire extremes from object-based fire inventories | [PDF]

    Dave Van Wees (BeZero) Comparison and validation of state-of-the-art fire emissions models for the Amazon | [PDF]

     

     

     

  • May 2024

    Sense4Fires Experimental Database V0.2 online

    We release the second version of the Sense4Fire fire emissions estimates in the second version of the experimental database. The database contains dataset of fuel and fire properties and fire emissions for the study regions Amazon/Cerrado, southern Africa, eastern Siberia and southern Europe.

    Data overview and download

     

  • July 2023

    Sense4Fires Experimental Database V0.1 online

    We are very pleased to announce that the first results of the Sense4Fire project are available in an experimental database. The database contains outputs of the respective project partners and their developed methods for the study regions Amazon, southern Africa, and Siberia.

    The GFA-S4F approach provides fuel consumption and fire emissions derived from a fire type classification and Sentinel-3 and VIIRS FRP observations

    The TUD-S4F approach provides fuel loads, fuel consumption and fire emissions derived by integrating various Earth observation products in a data-model fusion approach

    The KNMI-S5p approach provides CO and NOx fire emissions derived from Sentinel-5p

    Update: Version 0.1 of the database has been replaced with version 0.2:

    Data overview and download

Vincent Huijnen is a senior scientist at the Royal Netherlands Meteorological Institute, and has a decade of research experience in the field of atmospheric chemistry. He is one of the main co-developers of the atmospheric chemistry module integrated in the IFS system, which is currently operational in CAMS. Together with a partner from HYGEOS, Vincent currently coordinates the CAMS model development on global reactive gases and aerosol.

As such, he is in close contact with other elements in the CAMS service, including the team working on (fire) emissions, as well as operational application of the global system. In the past, Vincent worked also to a-posteriori validation. Amongst his research, he has a particular interest in the large fire events in Russia (2010) and Indonesia (2015), and also contributed to the development of improved satellite retrieval products.

References

Huijnen, V., Pozzer, A., Arteta, J., Brasseur, G., Bouarar, I., Chabrillat, S., Christophe, Y., Doumbia, T., Flemming, J., Guth, J., Josse, B., Karydis, V. A., Marécal, V., and Pelletier, S.: Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1), Geosci. Model Dev., 12, 1725–1752, https://doi.org/10.5194/gmd-12-1725-2019, 2019.

Rémy, S., Kipling, Z., Flemming, J., Boucher, O., Nabat, P., Michou, M., Bozzo, A., Ades, M., Huijnen, V., Benedetti, A., Engelen, R., Peuch, V.-H., and Morcrette, J.-J.: Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1), Geosci. Model Dev., 12, 4627–4659, https://doi.org/10.5194/gmd-12-4627-2019, 2019.

Huijnen, V., Wooster, M., Kaiser, J. et al. Fire carbon emissions over maritime southeast Asia in 2015 largest since 1997. Sci Rep 6, 26886 (2016). https://doi.org/10.1038/srep26886

Eskes, H., Huijnen, V., Arola, A., Benedictow, A., Blechschmidt, A.-M., Botek, E., Boucher, O., Bouarar, I., Chabrillat, S., Cuevas, E., Engelen, R., Flentje, H., Gaudel, A., Griesfeller, J., Jones, L., Kapsomenakis, J., Katragkou, E., Kinne, S., Langerock, B., Razinger, M., Richter, A., Schultz, M., Schulz, M., Sudarchikova, N., Thouret, V., Vrekoussis, M., Wagner, A., and Zerefos, C.: Validation of reactive gases and aerosols in the MACC global analysis and forecast system, Geosci. Model Dev., 8, 3523–3543, https://doi.org/10.5194/gmd-8-3523-2015, 2015.

Flemming, J., Huijnen, V., Arteta, J., Bechtold, P., Beljaars, A., Blechschmidt, A.-M., Diamantakis, M., Engelen, R. J., Gaudel, A., Inness, A., Jones, L., Josse, B., Katragkou, E., Marecal, V., Peuch, V.-H., Richter, A., Schultz, M. G., Stein, O., and Tsikerdekis, A.: Tropospheric chemistry in the Integrated Forecasting System of ECMWF, Geosci. Model Dev., 8, 975–1003, https://doi.org/10.5194/gmd-8-975-2015, 2015.