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A new implementation of FLEXPART with Enviro-HIRLAM meteorological input, and a case study during a heavy air pollution event

Foreback, Benjamin ; Mahura, Alexander ; Clusius, Petri ; Xavier, Carlton LU ; Baykara, Metin ; Zhou, Putian ; Nieminen, Tuomo ; Sinclair, Victoria ; Kerminen, Veli Matti and Kokkonen, Tom V. , et al. (2024) In Big Earth Data
Abstract

We integrated Enviro-HIRLAM (Environment-High Resolution Limited Area Model) meteorological output into FLEXPART (FLEXible PARTicle dispersion model). A FLEXPART simulation requires meteorological input from a numerical weather prediction (NWP) model. The publicly available version of FLEXPART can utilize either ECMWF (European Centre for Medium-range Weather Forecasts) Integrated Forecast System (IFS) forecast or reanalysis NWP data, or NCEP (U.S. National Center for Environmental Prediction) Global Forecast System (GFS) forecast or reanalysis NWP data. The primary benefits of using Enviro-HIRLAM are that it runs at a higher resolution and accounts for aerosol effects in meteorological fields. We compared backward trajectories... (More)

We integrated Enviro-HIRLAM (Environment-High Resolution Limited Area Model) meteorological output into FLEXPART (FLEXible PARTicle dispersion model). A FLEXPART simulation requires meteorological input from a numerical weather prediction (NWP) model. The publicly available version of FLEXPART can utilize either ECMWF (European Centre for Medium-range Weather Forecasts) Integrated Forecast System (IFS) forecast or reanalysis NWP data, or NCEP (U.S. National Center for Environmental Prediction) Global Forecast System (GFS) forecast or reanalysis NWP data. The primary benefits of using Enviro-HIRLAM are that it runs at a higher resolution and accounts for aerosol effects in meteorological fields. We compared backward trajectories generated with FLEXPART using Enviro-HIRLAM (both with and without aerosol effects) to trajectories generated using NCEP GFS and ECMWF IFS meteorological inputs, for a case study of a heavy haze event which occurred in Beijing, China in November 2018. We found that results from FLEXPART were considerably different when using different meteorological inputs. When aerosol effects were included in the NWP, there was a small but noticeable difference in calculated trajectories. Moreover, when looking at potential emission sensitivity instead of simply expressing trajectories as lines, additional information, which may have been missed when looking only at trajectories as lines, can be inferred.

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organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Atmospheric and chemical transport modelling, Enviro-HIRLAM, FLEXPART, severe air pollution episode, trajectory and particle dispersion modelling
in
Big Earth Data
publisher
Taylor & Francis
external identifiers
  • scopus:85186430294
ISSN
2096-4471
DOI
10.1080/20964471.2024.2316320
language
English
LU publication?
yes
id
8f779e33-bb0d-47ba-b45c-a9d540351dc4
date added to LUP
2024-03-22 15:36:37
date last changed
2024-03-22 15:37:16
@article{8f779e33-bb0d-47ba-b45c-a9d540351dc4,
  abstract     = {{<p>We integrated Enviro-HIRLAM (Environment-High Resolution Limited Area Model) meteorological output into FLEXPART (FLEXible PARTicle dispersion model). A FLEXPART simulation requires meteorological input from a numerical weather prediction (NWP) model. The publicly available version of FLEXPART can utilize either ECMWF (European Centre for Medium-range Weather Forecasts) Integrated Forecast System (IFS) forecast or reanalysis NWP data, or NCEP (U.S. National Center for Environmental Prediction) Global Forecast System (GFS) forecast or reanalysis NWP data. The primary benefits of using Enviro-HIRLAM are that it runs at a higher resolution and accounts for aerosol effects in meteorological fields. We compared backward trajectories generated with FLEXPART using Enviro-HIRLAM (both with and without aerosol effects) to trajectories generated using NCEP GFS and ECMWF IFS meteorological inputs, for a case study of a heavy haze event which occurred in Beijing, China in November 2018. We found that results from FLEXPART were considerably different when using different meteorological inputs. When aerosol effects were included in the NWP, there was a small but noticeable difference in calculated trajectories. Moreover, when looking at potential emission sensitivity instead of simply expressing trajectories as lines, additional information, which may have been missed when looking only at trajectories as lines, can be inferred.</p>}},
  author       = {{Foreback, Benjamin and Mahura, Alexander and Clusius, Petri and Xavier, Carlton and Baykara, Metin and Zhou, Putian and Nieminen, Tuomo and Sinclair, Victoria and Kerminen, Veli Matti and Kokkonen, Tom V. and Hakala, Simo and Aliaga, Diego and Makkonen, Risto and Baklanov, Alexander and Nuterman, Roman and Xia, Men and Hua, Chenjie and Liu, Yongchun and Kulmala, Markku and Paasonen, Pauli and Boy, Michael}},
  issn         = {{2096-4471}},
  keywords     = {{Atmospheric and chemical transport modelling; Enviro-HIRLAM; FLEXPART; severe air pollution episode; trajectory and particle dispersion modelling}},
  language     = {{eng}},
  publisher    = {{Taylor & Francis}},
  series       = {{Big Earth Data}},
  title        = {{A new implementation of FLEXPART with Enviro-HIRLAM meteorological input, and a case study during a heavy air pollution event}},
  url          = {{http://dx.doi.org/10.1080/20964471.2024.2316320}},
  doi          = {{10.1080/20964471.2024.2316320}},
  year         = {{2024}},
}