dc.contributor.author
Chappell, Adrian
dc.contributor.author
Webb, Nicholas P.
dc.contributor.author
Hennen, Mark
dc.contributor.author
Zender, Charles S.
dc.contributor.author
Ciais, Philippe
dc.contributor.author
Schepanski, Kerstin
dc.contributor.author
Edwards, Brandon L.
dc.contributor.author
Ziegler, Nancy P.
dc.contributor.author
Balkanski, Yves
dc.contributor.author
Tong, Daniel
dc.date.accessioned
2023-12-07T12:53:35Z
dc.date.available
2023-12-07T12:53:35Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/41825
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-41545
dc.description.abstract
Large-scale classical dust cycle models, developed more than two decades ago, assume for simplicity that the Earth's land surface is devoid of vegetation, reduce dust emission estimates using a vegetation cover complement, and calibrate estimates to observed atmospheric dust optical depth (DOD). Consequently, these models are expected to be valid for use with dust-climate projections in Earth System Models. We reveal little spatial relation between DOD frequency and satellite observed dust emission from point sources (DPS) and a difference of up to 2 orders of magnitude. We compared DPS data to an exemplar traditional dust emission model (TEM) and the albedo-based dust emission model (AEM) which represents aerodynamic roughness over space and time. Both models overestimated dust emission probability but showed strong spatial relations to DPS, suitable for calibration. Relative to the AEM calibrated to the DPS, the TEM overestimated large dust emission over vast vegetated areas and produced considerable false change in dust emission. It is difficult to avoid the conclusion that calibrating dust cycle models to DOD has hidden for more than two decades, these TEM modeling weaknesses. The AEM overcomes these weaknesses without using masks or vegetation cover data. Considerable potential therefore exists for ESMs driven by prognostic albedo, to reveal new insights of aerosol effects on, and responses to, contemporary and environmental change projections.
en
dc.format.extent
22 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
dust emission
en
dc.subject
aerodynamic sheltering
en
dc.subject
drag partition
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::550 Geowissenschaften
dc.title
Elucidating Hidden and Enduring Weaknesses in Dust Emission Modeling
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e2023JD038584
dcterms.bibliographicCitation.doi
10.1029/2023JD038584
dcterms.bibliographicCitation.journaltitle
JGR: Atmospheres
dcterms.bibliographicCitation.number
17
dcterms.bibliographicCitation.volume
128
dcterms.bibliographicCitation.url
https://doi.org/10.1029/2023JD038584
refubium.affiliation
Geowissenschaften
refubium.affiliation.other
Institut für Meteorologie
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2169-8996
refubium.resourceType.provider
WoS-Alert