Spatial Aggregation of Satellite Observations ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
URL permanente :
Titre :
Spatial Aggregation of Satellite Observations Leads to an Overestimation of the Radiative Forcing Due To Aerosol‐Cloud Interactions
Auteur(s) :
Goren, Tom [Auteur]
Bar-Ilan University [Israël]
Sourdeval, Odran [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Kretzschmar, Jan [Auteur]
Leipziger Institut für Meteorologie [LIM]
Quaas, Johannes [Auteur]
Leipziger Institut für Meteorologie [LIM]
Bar-Ilan University [Israël]
Sourdeval, Odran [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Kretzschmar, Jan [Auteur]
Leipziger Institut für Meteorologie [LIM]
Quaas, Johannes [Auteur]
Leipziger Institut für Meteorologie [LIM]
Titre de la revue :
Geophysical Research Letters
Nom court de la revue :
Geophysical Research Letters
Numéro :
50
Éditeur :
American Geophysical Union (AGU)
Date de publication :
2023-09-14
ISSN :
0094-8276
Discipline(s) HAL :
Planète et Univers [physics]/Océan, Atmosphère
Résumé en anglais : [en]
The estimation of cloud radiative forcing due to aerosol‐cloud interactions, RFaci (also known as the first indirect effect), relies on approximating the cloud albedo susceptibility to changes in droplet concentration, β. ...
Lire la suite >The estimation of cloud radiative forcing due to aerosol‐cloud interactions, RFaci (also known as the first indirect effect), relies on approximating the cloud albedo susceptibility to changes in droplet concentration, β. β depends on the cloud albedo and droplet concentration, both of which can be observed by satellites. Satellite observations are often spatially aggregated to coarser resolutions, typically 1 × 1° scenes. However, on such spatial scales, the cloud albedo tends to be heterogeneous, whereas the β approximation assumes homogeneity. Here, we demonstrate that the common practice of aggregating satellite data and neglecting cloud albedo heterogeneity results in an average overestimation of 10% in previous estimates of the RFaci. Additionally, we establish a relationship between the magnitude of the bias in β and Stratocumulus morphologies, providing a physical context for cloud heterogeneity and the associated bias. Lastly, we propose a correction method that can be applied to cloud albedo gridded data.Lire moins >
Lire la suite >The estimation of cloud radiative forcing due to aerosol‐cloud interactions, RFaci (also known as the first indirect effect), relies on approximating the cloud albedo susceptibility to changes in droplet concentration, β. β depends on the cloud albedo and droplet concentration, both of which can be observed by satellites. Satellite observations are often spatially aggregated to coarser resolutions, typically 1 × 1° scenes. However, on such spatial scales, the cloud albedo tends to be heterogeneous, whereas the β approximation assumes homogeneity. Here, we demonstrate that the common practice of aggregating satellite data and neglecting cloud albedo heterogeneity results in an average overestimation of 10% in previous estimates of the RFaci. Additionally, we establish a relationship between the magnitude of the bias in β and Stratocumulus morphologies, providing a physical context for cloud heterogeneity and the associated bias. Lastly, we propose a correction method that can be applied to cloud albedo gridded data.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CNRS
CNRS
Collections :
Équipe(s) de recherche :
Interactions Rayonnement Nuages (IRN)
Date de dépôt :
2023-09-15T13:37:48Z
2023-10-27T07:54:57Z
2023-10-27T07:54:57Z
Fichiers
- Geophysical Research Letters - 2023 - Goren.pdf
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