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Effects of the spatial resolution of climate data on estimates of biogenic isoprene emissions

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Effects of the spatial resolution of climate data on estimates of biogenic isoprene emissions. / Pugh, T. A. M.; Ashworth, K.; Wild, O. et al.
In: Atmospheric Environment, Vol. 70, 05.2013, p. 1-6.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Pugh TAM, Ashworth K, Wild O, Hewitt CN. Effects of the spatial resolution of climate data on estimates of biogenic isoprene emissions. Atmospheric Environment. 2013 May;70:1-6. doi: 10.1016/j.atmosenv.2013.01.001

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Bibtex

@article{cd9ab414496e4c0c831cc1045c639b20,
title = "Effects of the spatial resolution of climate data on estimates of biogenic isoprene emissions",
abstract = "Volatile organic compounds of biogenic origin (BVOCs) in the atmosphere are a key component of the Earth system, influencing ozone and secondary organic aerosol formation, and the global oxidant budget. Global BVOC emissions are dominated by terrestrial vegetation, in particular the compound isoprene, whose emission rate, in common with many BVOCs, is strongly and non-linearly dependent on temperature and the photosynthetically active radiation (PAR) flux. Detailed models of BVOC emission are now starting to be deployed in global chemistry-transport and chemistry-climate models. By necessity, the spatial resolution of these models is coarse (of the order of a few degrees), and spatial averaging removes information about areas of high temperature and PAR which contribute disproportionately to the isoprene flux. By comparing output from a BVOC emission model driven by both high- and low-resolution meteorological data, we show that this averaging effect does not lead to substantial discrepancies in simulated isoprene emissions (similar to 2%) when considering fluxes averaged over regional scales, but can lead to large discrepancies of up to similar to 150% at much finer scales (e.g., 10 x 10 km). These smaller scale results have implications for highly coupled chemistry-climate simulations. The application of such models for the assessment and prediction of air quality, and subsequent decisions regarding the potential for mitigation or the need for adaptation, should be conducted using climate data with the highest possible spatial resolution. In particular, isoprene emissions calculated for topographically-heterogeneous regions, including coasts, should be treated with increased caution.",
keywords = "SENSITIVITY, IMPACT, Spatial resolution, BVOC, OZONE, TROPOSPHERIC CHEMISTRY, VARIABILITY, MODEL, MEGAN, Isoprene, VEGETATION, VOLATILE ORGANIC-COMPOUNDS, Biogenic emissions",
author = "Pugh, {T. A. M.} and K. Ashworth and O. Wild and Hewitt, {C. N.}",
year = "2013",
month = may,
doi = "10.1016/j.atmosenv.2013.01.001",
language = "English",
volume = "70",
pages = "1--6",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "PERGAMON-ELSEVIER SCIENCE LTD",

}

RIS

TY - JOUR

T1 - Effects of the spatial resolution of climate data on estimates of biogenic isoprene emissions

AU - Pugh, T. A. M.

AU - Ashworth, K.

AU - Wild, O.

AU - Hewitt, C. N.

PY - 2013/5

Y1 - 2013/5

N2 - Volatile organic compounds of biogenic origin (BVOCs) in the atmosphere are a key component of the Earth system, influencing ozone and secondary organic aerosol formation, and the global oxidant budget. Global BVOC emissions are dominated by terrestrial vegetation, in particular the compound isoprene, whose emission rate, in common with many BVOCs, is strongly and non-linearly dependent on temperature and the photosynthetically active radiation (PAR) flux. Detailed models of BVOC emission are now starting to be deployed in global chemistry-transport and chemistry-climate models. By necessity, the spatial resolution of these models is coarse (of the order of a few degrees), and spatial averaging removes information about areas of high temperature and PAR which contribute disproportionately to the isoprene flux. By comparing output from a BVOC emission model driven by both high- and low-resolution meteorological data, we show that this averaging effect does not lead to substantial discrepancies in simulated isoprene emissions (similar to 2%) when considering fluxes averaged over regional scales, but can lead to large discrepancies of up to similar to 150% at much finer scales (e.g., 10 x 10 km). These smaller scale results have implications for highly coupled chemistry-climate simulations. The application of such models for the assessment and prediction of air quality, and subsequent decisions regarding the potential for mitigation or the need for adaptation, should be conducted using climate data with the highest possible spatial resolution. In particular, isoprene emissions calculated for topographically-heterogeneous regions, including coasts, should be treated with increased caution.

AB - Volatile organic compounds of biogenic origin (BVOCs) in the atmosphere are a key component of the Earth system, influencing ozone and secondary organic aerosol formation, and the global oxidant budget. Global BVOC emissions are dominated by terrestrial vegetation, in particular the compound isoprene, whose emission rate, in common with many BVOCs, is strongly and non-linearly dependent on temperature and the photosynthetically active radiation (PAR) flux. Detailed models of BVOC emission are now starting to be deployed in global chemistry-transport and chemistry-climate models. By necessity, the spatial resolution of these models is coarse (of the order of a few degrees), and spatial averaging removes information about areas of high temperature and PAR which contribute disproportionately to the isoprene flux. By comparing output from a BVOC emission model driven by both high- and low-resolution meteorological data, we show that this averaging effect does not lead to substantial discrepancies in simulated isoprene emissions (similar to 2%) when considering fluxes averaged over regional scales, but can lead to large discrepancies of up to similar to 150% at much finer scales (e.g., 10 x 10 km). These smaller scale results have implications for highly coupled chemistry-climate simulations. The application of such models for the assessment and prediction of air quality, and subsequent decisions regarding the potential for mitigation or the need for adaptation, should be conducted using climate data with the highest possible spatial resolution. In particular, isoprene emissions calculated for topographically-heterogeneous regions, including coasts, should be treated with increased caution.

KW - SENSITIVITY

KW - IMPACT

KW - Spatial resolution

KW - BVOC

KW - OZONE

KW - TROPOSPHERIC CHEMISTRY

KW - VARIABILITY

KW - MODEL

KW - MEGAN

KW - Isoprene

KW - VEGETATION

KW - VOLATILE ORGANIC-COMPOUNDS

KW - Biogenic emissions

U2 - 10.1016/j.atmosenv.2013.01.001

DO - 10.1016/j.atmosenv.2013.01.001

M3 - Journal article

VL - 70

SP - 1

EP - 6

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

ER -