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Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data

Abstract:

Aerosol–cloud interactions (ACIs) are uncertain and the estimates of the ACI effective radiative forcing (ERFaci) magnitude show a large variability. Within the Aerosol_cci project the susceptibility of cloud properties to changes in aerosol properties is derived from the high-resolution AATSR (Advanced Along-Track Scanning Radiometer) data set using the Cloud–Aerosol Pairing Algorithm (CAPA) (as described in our companion paper) and compared to susceptibilities from the global ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5194/acp-17-13165-2017

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
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Name:
European Space Agency
Grant:
LivingPlanetFellowship
theAerosol_cciprojects(ESAContractNo.4000109874/14/I-NB
theCloud_cci(contract:4000109870/13/I-NB)
Publisher:
European Geosciences Union
Journal:
Atmospheric Chemistry and Physics More from this journal
Volume:
17
Issue:
21
Pages:
13165-13185
Publication date:
2017-11-07
Acceptance date:
2017-09-28
DOI:
EISSN:
1680-7324
ISSN:
1680-7316
Pubs id:
pubs:746205
UUID:
uuid:fe7f096d-1a2d-4908-b087-12b178cc98df
Local pid:
pubs:746205
Source identifiers:
746205
Deposit date:
2017-11-17

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