Incorporation of pollen data in source maps is vital for pollen dispersion models

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Standard

Incorporation of pollen data in source maps is vital for pollen dispersion models. / Kurganskiy, Alexander; Skjoth, Carsten Ambelas; Baklanov, Alexander; Sofiev, Mikhail; Saarto, Annika; Severova, Elena; Smyshlyaev, Sergei; Kaas, Eigil.

I: Atmospheric Chemistry and Physics, Bind 20, Nr. 4, 26.02.2020, s. 2099-2121.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Kurganskiy, A, Skjoth, CA, Baklanov, A, Sofiev, M, Saarto, A, Severova, E, Smyshlyaev, S & Kaas, E 2020, 'Incorporation of pollen data in source maps is vital for pollen dispersion models', Atmospheric Chemistry and Physics, bind 20, nr. 4, s. 2099-2121. https://doi.org/10.5194/acp-20-2099-2020

APA

Kurganskiy, A., Skjoth, C. A., Baklanov, A., Sofiev, M., Saarto, A., Severova, E., Smyshlyaev, S., & Kaas, E. (2020). Incorporation of pollen data in source maps is vital for pollen dispersion models. Atmospheric Chemistry and Physics, 20(4), 2099-2121. https://doi.org/10.5194/acp-20-2099-2020

Vancouver

Kurganskiy A, Skjoth CA, Baklanov A, Sofiev M, Saarto A, Severova E o.a. Incorporation of pollen data in source maps is vital for pollen dispersion models. Atmospheric Chemistry and Physics. 2020 feb 26;20(4):2099-2121. https://doi.org/10.5194/acp-20-2099-2020

Author

Kurganskiy, Alexander ; Skjoth, Carsten Ambelas ; Baklanov, Alexander ; Sofiev, Mikhail ; Saarto, Annika ; Severova, Elena ; Smyshlyaev, Sergei ; Kaas, Eigil. / Incorporation of pollen data in source maps is vital for pollen dispersion models. I: Atmospheric Chemistry and Physics. 2020 ; Bind 20, Nr. 4. s. 2099-2121.

Bibtex

@article{54608320e5e44b6bbcb7e702857a0a7f,
title = "Incorporation of pollen data in source maps is vital for pollen dispersion models",
abstract = "Information about distribution of pollen sources, i.e. their presence and abundance in a specific region, is important, especially when atmospheric transport models are applied to forecast pollen concentrations. The goal of this study is to evaluate three pollen source maps using an atmospheric transport model and study the effect on the model results by combining these source maps with pollen data. Here we evaluate three maps for the birch taxon: (1) a map derived by combining a land cover data and forest inventory, (2) a map obtained from land cover data and calibrated using model simulations and pollen observations, and (3) a statistical map resulting from analysis of forest inventory and forest plot data. The maps were introduced to the Enviro-HIRLAM (Environment - High Resolution Limited Area Model) as input data to simulate birch pollen concentrations over Europe for the birch pollen season 2006. A total of 18 model runs were performed using each of the selected maps in turn with and without calibration with observed pollen data from 2006. The model results were compared with the pollen observation data at 12 measurement sites located in Finland, Denmark, and Russia. We show that calibration of the maps using pollen observations significantly improved the model performance for all three maps. The findings also indicate the large sensitivity of the model results to the source maps and agree well with other studies on birch showing that pollen or hybrid-based source maps provide the best model performance. This study highlights the importance of including pollen data in the production of source maps for pollen dispersion modelling and for exposure studies.",
keywords = "LONG-RANGE TRANSPORT, BIRCH POLLEN, AMBROSIA POLLEN, CLIMATE-CHANGE, SOURCE INVENTORY, NUMERICAL-MODEL, BETULA POLLEN, RAGWEED, EMISSION, PARAMETERIZATION",
author = "Alexander Kurganskiy and Skjoth, {Carsten Ambelas} and Alexander Baklanov and Mikhail Sofiev and Annika Saarto and Elena Severova and Sergei Smyshlyaev and Eigil Kaas",
year = "2020",
month = feb,
day = "26",
doi = "10.5194/acp-20-2099-2020",
language = "English",
volume = "20",
pages = "2099--2121",
journal = "Atmospheric Chemistry and Physics",
issn = "1680-7316",
publisher = "Copernicus GmbH",
number = "4",

}

RIS

TY - JOUR

T1 - Incorporation of pollen data in source maps is vital for pollen dispersion models

AU - Kurganskiy, Alexander

AU - Skjoth, Carsten Ambelas

AU - Baklanov, Alexander

AU - Sofiev, Mikhail

AU - Saarto, Annika

AU - Severova, Elena

AU - Smyshlyaev, Sergei

AU - Kaas, Eigil

PY - 2020/2/26

Y1 - 2020/2/26

N2 - Information about distribution of pollen sources, i.e. their presence and abundance in a specific region, is important, especially when atmospheric transport models are applied to forecast pollen concentrations. The goal of this study is to evaluate three pollen source maps using an atmospheric transport model and study the effect on the model results by combining these source maps with pollen data. Here we evaluate three maps for the birch taxon: (1) a map derived by combining a land cover data and forest inventory, (2) a map obtained from land cover data and calibrated using model simulations and pollen observations, and (3) a statistical map resulting from analysis of forest inventory and forest plot data. The maps were introduced to the Enviro-HIRLAM (Environment - High Resolution Limited Area Model) as input data to simulate birch pollen concentrations over Europe for the birch pollen season 2006. A total of 18 model runs were performed using each of the selected maps in turn with and without calibration with observed pollen data from 2006. The model results were compared with the pollen observation data at 12 measurement sites located in Finland, Denmark, and Russia. We show that calibration of the maps using pollen observations significantly improved the model performance for all three maps. The findings also indicate the large sensitivity of the model results to the source maps and agree well with other studies on birch showing that pollen or hybrid-based source maps provide the best model performance. This study highlights the importance of including pollen data in the production of source maps for pollen dispersion modelling and for exposure studies.

AB - Information about distribution of pollen sources, i.e. their presence and abundance in a specific region, is important, especially when atmospheric transport models are applied to forecast pollen concentrations. The goal of this study is to evaluate three pollen source maps using an atmospheric transport model and study the effect on the model results by combining these source maps with pollen data. Here we evaluate three maps for the birch taxon: (1) a map derived by combining a land cover data and forest inventory, (2) a map obtained from land cover data and calibrated using model simulations and pollen observations, and (3) a statistical map resulting from analysis of forest inventory and forest plot data. The maps were introduced to the Enviro-HIRLAM (Environment - High Resolution Limited Area Model) as input data to simulate birch pollen concentrations over Europe for the birch pollen season 2006. A total of 18 model runs were performed using each of the selected maps in turn with and without calibration with observed pollen data from 2006. The model results were compared with the pollen observation data at 12 measurement sites located in Finland, Denmark, and Russia. We show that calibration of the maps using pollen observations significantly improved the model performance for all three maps. The findings also indicate the large sensitivity of the model results to the source maps and agree well with other studies on birch showing that pollen or hybrid-based source maps provide the best model performance. This study highlights the importance of including pollen data in the production of source maps for pollen dispersion modelling and for exposure studies.

KW - LONG-RANGE TRANSPORT

KW - BIRCH POLLEN

KW - AMBROSIA POLLEN

KW - CLIMATE-CHANGE

KW - SOURCE INVENTORY

KW - NUMERICAL-MODEL

KW - BETULA POLLEN

KW - RAGWEED

KW - EMISSION

KW - PARAMETERIZATION

U2 - 10.5194/acp-20-2099-2020

DO - 10.5194/acp-20-2099-2020

M3 - Journal article

VL - 20

SP - 2099

EP - 2121

JO - Atmospheric Chemistry and Physics

JF - Atmospheric Chemistry and Physics

SN - 1680-7316

IS - 4

ER -

ID: 247940058