Daily surface concentration of fire related PM2.5 for 2003-2022, modelled by SILAM CTM when using the MODIS satellite data for the fire radiative power

DOI

Fine particles from wildfires are one important source for PM2.5. These small aerosol particles are risk to health and cause a large number of premature deaths world-wide. Using the MODIS satellite data we estimate the fine particulate matter emissions from wildfires and model they dispersion in atmosphere using the System for Integrated modeLling of Atmospheric coMposition (SILAM) chemistry transport model. The surface concentration of PM-fine, related to fires, is here evaluated for years 2003-2022 and the corresponding daily mean data is provided both in global scale, in 0.5 degree resolution, and also in European scale in 0.1 degree resolution.

We use the fire radiative power data of MODIS instrument onboard of Aqua and Terra satellite to estimate globally the fire radiative power (FRP) from wildfires for years 2003-2022. The FRP is converted to fire related fine particles (PM2.5) using calibrated emissions factors and diurnal profile, together with dynamical emission heights. The dispersion of the fire related PM is followed by using System for Integrated modeLling of Atmospheric coMposition (SILAM) chemistry transport model version 5.8 (http://silam.fmi.fi, open-source code http://github.com/fmidev/silam-model). The global scale simulations have a resolution of 0.5x0.5 degrees with 29 model levels reaching up to 10.5 Pascals (~64 km). The lowest layer top is at ~31 m. The European scale grid has a horizontal resolution of 0.1x0.1 degrees and the boundaries come from the global results, top boundary being at ~16 km. Both simulations have time resolution of one hour from which the daily averaged surface concentration is extracted to the this data-set. Both the global and European scale simulations use the ERA5 meteorology as a drive.

TechnicalInfo: The dataset consists of two subsets: 1) NetCDF file PMfire_glob_2003to2022.nc4 contains the global daily averaged fire related PM surface concentration in 0.5 degree resolution. 2) NetCDF file PMfire_europe_2003to2022.nc4 contains the daily averaged fire related PM surface concentration in 0.1 degree resolution in European region, defined by lon = W25...E45, and lat = N30...N72. Compared to the previous version of the dataset [Dated June 21, 2022 with DOI:10.23728/fmi-b2share.a006840cce9340e8bf11e562bb8d396e ] the current version of the dataset has improved masking for non-fire related FRP (gas flares etc). Additionally, the current version includes the data for the year 2022.

Identifier
DOI https://doi.org/10.23728/fmi-b2share.722bb9d1937548908d2b6c1cfd9f8e5d
Source https://fmi.b2share.csc.fi/records/722bb9d1937548908d2b6c1cfd9f8e5d
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:fmi.b2share.csc.fi:b2rec/722bb9d1937548908d2b6c1cfd9f8e5d
Provenance
Creator Hänninen, Risto; Sofiev, Mikhail; Uppstu, Andreas; Kouznetsov, Rostislav
Instrument System for Integrated modeLling of Atmopsheric coMposition SILAM
Publisher Finnish Meteorological Institute
Contributor Hänninen, Risto; Sofiev, Mikhail; Uppstu, Andreas; Kouznetsov, Rostislav; SILAM team, Finnish Meteorological Institute; Finnish Meteorological Institute
Publication Year 2023
Funding Reference European Union H2020 820655; Academy of Finland 334798; European Union H2020 101003890
Rights CC-BY; info:eu-repo/semantics/openAccess
OpenAccess true
Contact Risto.Hanninen(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format nc4
Size 9.0 GB; 2 files
Discipline Environmental science
Spatial Coverage (0.000 LON, 0.000 LAT); Global (0.5 x 0.5 degree resolution); European domain (0.1 x 0.1 degree resolution)
Temporal Coverage 2002-12-31T22:00:00.000Z 2022-12-31T22:00:00.000Z