Size-resolved dust direct radiative effect efficiency derived from satellite observations
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Published:2022-10-12
Issue:19
Volume:22
Page:13115-13135
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Song Qianqian, Zhang ZhiboORCID, Yu Hongbin, Kok Jasper F.ORCID, Di Biagio ClaudiaORCID, Albani SamuelORCID, Zheng JianyuORCID, Ding Jiachen
Abstract
Abstract. The role of mineral dust aerosol in the global radiative energy budget is often
quantified by the dust direct radiative effect (DRE). The dust DRE strongly
depends on dust aerosol optical depth (DAOD), therefore, DRE efficiency
(DREE = DRE / DAOD) is widely compared across different studies to eliminate
differences due to the various dust loads. Nevertheless, DREE is still
influenced by the uncertainties associated with dust particle size
distribution (PSD) and optical properties. In this study, we derive a global
clear-sky size-resolved DREE dataset in both shortwave (SW) and longwave (LW) at top of
the atmosphere (TOA) and surface based on satellite observations (i.e.,
satellite-retrieved dust extinction spatial and vertical distributions). In
the DREE dataset, dust geometric diameter from 0.1 to 100 µm
is divided into 10 bins and the corresponding monthly mean DREE (with
respect to DAOD at 532 nm) for each size bin is derived by using the Rapid
Radiative Transfer Model (RRTM). Three sets of state of the art dust
refractive indices (RI) and two sets of dust shape models (sphere vs. spheroid) are adopted to investigate the sensitivity of dust DREE to dust
absorption and shape. As a result, the size-resolved dust DREE dataset
contains globally distributed monthly mean dust DREE at TOA and surface for
each of 10 size bins with 5∘ (longitude) ×2∘
(latitude) resolution as well as for each dust RI and shape combination. The
size-resolved dust DREE dataset can be used to readily calculate global dust
DRE for any DAOD and dust PSD, including the uncertainty in the DRE induced
by dust microphysical properties, (e.g., dust PSD, RI and shape). By
calculating dust DRE based on DAOD climatology retrieved from different
satellite sensors and based on different dust PSD, we find that uncertainty
in the spatial pattern of DAOD induces more than 10 % of the uncertainty
in SW dust DRE at TOA. The observation-based dust PSD induces around
15–20 % uncertainty in dust DRE at TOA and in the
atmosphere. The sensitivity assessments of dust DRE to dust RI and shape
further suggest that dust nonsphericity induces a negligible effect on dust
DRE estimations, while dust RI turns out to be the most important factor in
determining dust DRE, particularly in SW.
Funder
National Aeronautics and Space Administration National Science Foundation
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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