An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation ...
Authors:- Nick Schutgens, Andrew M. Sayer,, Andreas Heckel, Christina Hsu, Hiren Jethva,, Gerrit de Leeuw, Peter J. T. Leonard, Robert C. Levy, Antti Lipponen, Alexei Lyapustin, Peter North, Thomas Popp, Caroline Poulsen,a, Virginia Sawyer,, Larisa Sogacheva, Gareth Thomas, Omar Torres, Yujie Wang,...
Main Authors: | , , , , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
EGU
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.13016/m2ywui-rzvk https://mdsoar.org/handle/11603/26239 |
id |
ftdatacite:10.13016/m2ywui-rzvk |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.13016/m2ywui-rzvk 2023-08-27T04:03:32+02:00 An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation ... Schutgens, Nick Sayer, Andrew Heckel, Andreas Hsu, Christina Wang, Yujie Et Al 2020 https://dx.doi.org/10.13016/m2ywui-rzvk https://mdsoar.org/handle/11603/26239 en eng EGU Public Domain Mark 1.0 This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. http://creativecommons.org/publicdomain/mark/1.0/ Text Collection article 2020 ftdatacite https://doi.org/10.13016/m2ywui-rzvk 2023-08-07T14:24:23Z Authors:- Nick Schutgens, Andrew M. Sayer,, Andreas Heckel, Christina Hsu, Hiren Jethva,, Gerrit de Leeuw, Peter J. T. Leonard, Robert C. Levy, Antti Lipponen, Alexei Lyapustin, Peter North, Thomas Popp, Caroline Poulsen,a, Virginia Sawyer,, Larisa Sogacheva, Gareth Thomas, Omar Torres, Yujie Wang, Stefan Kinne, Michael Schulz, and Philip Stier ... : To better understand and characterize current uncertainties in the important observational constraint of climate models of aerosol optical depth (AOD), we evaluate and intercompare 14 satellite products, representing nine different retrieval algorithm families using observations from five different sensors on six different platforms. The satellite products (super-observations consisting of 1◦ × 1 ◦ daily aggregated retrievals drawn from the years 2006, 2008 and 2010) are evaluated with AErosol RObotic NETwork (AERONET) and Maritime Aerosol Network (MAN) data. Results show that different products exhibit different regionally varying biases (both under- and overestimates) that may reach ±50 %, although a typical bias would be 15 %–25 % (depending on the product). In addition to these biases, the products exhibit random errors that can be 1.6 to 3 times as large. Most products show similar performance, although there are a few exceptions with either larger biases or larger random errors. The intercomparison of ... Article in Journal/Newspaper Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) Andreas ENVELOPE(-60.729,-60.729,-64.008,-64.008) Levy ENVELOPE(-66.567,-66.567,-66.320,-66.320) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
description |
Authors:- Nick Schutgens, Andrew M. Sayer,, Andreas Heckel, Christina Hsu, Hiren Jethva,, Gerrit de Leeuw, Peter J. T. Leonard, Robert C. Levy, Antti Lipponen, Alexei Lyapustin, Peter North, Thomas Popp, Caroline Poulsen,a, Virginia Sawyer,, Larisa Sogacheva, Gareth Thomas, Omar Torres, Yujie Wang, Stefan Kinne, Michael Schulz, and Philip Stier ... : To better understand and characterize current uncertainties in the important observational constraint of climate models of aerosol optical depth (AOD), we evaluate and intercompare 14 satellite products, representing nine different retrieval algorithm families using observations from five different sensors on six different platforms. The satellite products (super-observations consisting of 1◦ × 1 ◦ daily aggregated retrievals drawn from the years 2006, 2008 and 2010) are evaluated with AErosol RObotic NETwork (AERONET) and Maritime Aerosol Network (MAN) data. Results show that different products exhibit different regionally varying biases (both under- and overestimates) that may reach ±50 %, although a typical bias would be 15 %–25 % (depending on the product). In addition to these biases, the products exhibit random errors that can be 1.6 to 3 times as large. Most products show similar performance, although there are a few exceptions with either larger biases or larger random errors. The intercomparison of ... |
format |
Article in Journal/Newspaper |
author |
Schutgens, Nick Sayer, Andrew Heckel, Andreas Hsu, Christina Wang, Yujie Et Al |
spellingShingle |
Schutgens, Nick Sayer, Andrew Heckel, Andreas Hsu, Christina Wang, Yujie Et Al An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation ... |
author_facet |
Schutgens, Nick Sayer, Andrew Heckel, Andreas Hsu, Christina Wang, Yujie Et Al |
author_sort |
Schutgens, Nick |
title |
An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation ... |
title_short |
An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation ... |
title_full |
An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation ... |
title_fullStr |
An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation ... |
title_full_unstemmed |
An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation ... |
title_sort |
aerocom–aerosat study: intercomparison of satellite aod datasets for aerosol model evaluation ... |
publisher |
EGU |
publishDate |
2020 |
url |
https://dx.doi.org/10.13016/m2ywui-rzvk https://mdsoar.org/handle/11603/26239 |
long_lat |
ENVELOPE(-60.729,-60.729,-64.008,-64.008) ENVELOPE(-66.567,-66.567,-66.320,-66.320) |
geographic |
Andreas Levy |
geographic_facet |
Andreas Levy |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_rights |
Public Domain Mark 1.0 This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. http://creativecommons.org/publicdomain/mark/1.0/ |
op_doi |
https://doi.org/10.13016/m2ywui-rzvk |
_version_ |
1775351114306158592 |