dc.contributor.author
Chappell, Adrian
dc.contributor.author
Webb, Nicholas P.
dc.contributor.author
Hennen, Mark
dc.contributor.author
Schepanski, Kerstin
dc.contributor.author
Ciais, Philippe
dc.contributor.author
Balkanski, Yves
dc.contributor.author
Zender, Charles S.
dc.contributor.author
Tegen, Ina
dc.contributor.author
Zeng, Zhenzhong
dc.contributor.author
Tong, Daniel
dc.date.accessioned
2023-07-17T13:54:03Z
dc.date.available
2023-07-17T13:54:03Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/40123
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-39845
dc.description.abstract
Establishing mineral dust impacts on Earth's systems requires numerical models of the dust cycle. Differences between dust optical depth (DOD) measurements and modelling the cycle of dust emission, atmospheric transport, and deposition of dust indicate large model uncertainty due partially to unrealistic model assumptions about dust emission frequency. Calibrating dust cycle models to DOD measurements typically in North Africa, are routinely used to reduce dust model magnitude. This calibration forces modelled dust emissions to match atmospheric DOD but may hide the correct magnitude and frequency of dust emission events at source, compensating biases in other modelled processes of the dust cycle. Therefore, it is essential to improve physically based dust emission modules.
Here we use a global collation of satellite observations from previous studies of dust emission point source (DPS) dichotomous frequency data. We show that these DPS data have little-to-no relation with MODIS DOD frequency. We calibrate the albedo-based dust emission model using the frequency distribution of those DPS data. The global dust emission uncertainty constrained by DPS data (±3.8 kg m−2 y−1) provides a benchmark for dust emission model development. Our calibrated model results reveal much less global dust emission (29.1 ± 14.9 Tg y−1) than previous estimates, and show seasonally shifting dust emission predominance within and between hemispheres, as opposed to a persistent North African dust emission primacy widely interpreted from DOD measurements.
Earth's largest dust emissions, proceed seasonally from East Asian deserts in boreal spring, to Middle Eastern and North African deserts in boreal summer and then Australian shrublands in boreal autumn-winter. This new analysis of dust emissions, from global sources of varying geochemical properties, have far-reaching implications for current and future dust-climate effects. For more reliable coupled representation of dust-climate projections, our findings suggest the need to re-evaluate dust cycle modelling and benefit from the albedo-based parameterisation.
en
dc.format.extent
15 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Dust emission
en
dc.subject
Dust emission point source
en
dc.subject
Ocean productivity
en
dc.subject
Radiative forcing
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::550 Geowissenschaften
dc.title
Satellites reveal Earth's seasonally shifting dust emission sources
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
163452
dcterms.bibliographicCitation.doi
10.1016/j.scitotenv.2023.163452
dcterms.bibliographicCitation.journaltitle
Science of The Total Environment
dcterms.bibliographicCitation.volume
883
dcterms.bibliographicCitation.url
https://doi.org/10.1016/j.scitotenv.2023.163452
refubium.affiliation
Geowissenschaften
refubium.affiliation.other
Institut für Meteorologie
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refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1879-1026
refubium.resourceType.provider
WoS-Alert