Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations

In this study Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua retrievals of aerosol optical thickness (AOT) at 555 nm are compared to Sun photometer measurements from Svalbard for a period of 9 years. For the 642 daily coincident measurements that were obtained, MODIS AOT generally varies...

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Main Authors: Glantz, Paul, Bourassa, Adam, Herber, Andreas, Iversen, Trond, Karlsson, Johannes, Kirkevåg, Alf, Maturilli, Marion, Seland, Øyvind, Stebel, Kerstin, Struthers, Hamish, Tesche, Matthias, Thomason, Larry
Format: Text
Language:English
Published: BlackWell Publishing Ltd 2014
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370760
https://doi.org/10.1002/jgrd.51507
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spelling ftpubmed:oai:pubmedcentral.nih.gov:4370760 2023-05-15T14:52:37+02:00 Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations Glantz, Paul Bourassa, Adam Herber, Andreas Iversen, Trond Karlsson, Johannes Kirkevåg, Alf Maturilli, Marion Seland, Øyvind Stebel, Kerstin Struthers, Hamish Tesche, Matthias Thomason, Larry 2014-07-16 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370760 https://doi.org/10.1002/jgrd.51507 en eng BlackWell Publishing Ltd http://www.ncbi.nlm.nih.gov/pmc/articles/PMC http://dx.doi.org/10.1002/jgrd.51507 ©2014. The Authors. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. CC-BY-NC-ND Research Articles Text 2014 ftpubmed https://doi.org/10.1002/jgrd.51507 2015-03-29T01:06:44Z In this study Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua retrievals of aerosol optical thickness (AOT) at 555 nm are compared to Sun photometer measurements from Svalbard for a period of 9 years. For the 642 daily coincident measurements that were obtained, MODIS AOT generally varies within the predicted uncertainty of the retrieval over ocean (ΔAOT = ±0.03 ± 0.05 · AOT). The results from the remote sensing have been used to examine the accuracy in estimates of aerosol optical properties in the Arctic, generated by global climate models and from in situ measurements at the Zeppelin station, Svalbard. AOT simulated with the Norwegian Earth System Model/Community Atmosphere Model version 4 Oslo global climate model does not reproduce the observed seasonal variability of the Arctic aerosol. The model overestimates clear-sky AOT by nearly a factor of 2 for the background summer season, while tending to underestimate the values in the spring season. Furthermore, large differences in all-sky AOT of up to 1 order of magnitude are found for the Coupled Model Intercomparison Project phase 5 model ensemble for the spring and summer seasons. Large differences between satellite/ground-based remote sensing of AOT and AOT estimated from dry and humidified scattering coefficients are found for the subarctic marine boundary layer in summer. Text Arctic Subarctic Svalbard PubMed Central (PMC) Arctic Svalbard
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Articles
spellingShingle Research Articles
Glantz, Paul
Bourassa, Adam
Herber, Andreas
Iversen, Trond
Karlsson, Johannes
Kirkevåg, Alf
Maturilli, Marion
Seland, Øyvind
Stebel, Kerstin
Struthers, Hamish
Tesche, Matthias
Thomason, Larry
Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations
topic_facet Research Articles
description In this study Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua retrievals of aerosol optical thickness (AOT) at 555 nm are compared to Sun photometer measurements from Svalbard for a period of 9 years. For the 642 daily coincident measurements that were obtained, MODIS AOT generally varies within the predicted uncertainty of the retrieval over ocean (ΔAOT = ±0.03 ± 0.05 · AOT). The results from the remote sensing have been used to examine the accuracy in estimates of aerosol optical properties in the Arctic, generated by global climate models and from in situ measurements at the Zeppelin station, Svalbard. AOT simulated with the Norwegian Earth System Model/Community Atmosphere Model version 4 Oslo global climate model does not reproduce the observed seasonal variability of the Arctic aerosol. The model overestimates clear-sky AOT by nearly a factor of 2 for the background summer season, while tending to underestimate the values in the spring season. Furthermore, large differences in all-sky AOT of up to 1 order of magnitude are found for the Coupled Model Intercomparison Project phase 5 model ensemble for the spring and summer seasons. Large differences between satellite/ground-based remote sensing of AOT and AOT estimated from dry and humidified scattering coefficients are found for the subarctic marine boundary layer in summer.
format Text
author Glantz, Paul
Bourassa, Adam
Herber, Andreas
Iversen, Trond
Karlsson, Johannes
Kirkevåg, Alf
Maturilli, Marion
Seland, Øyvind
Stebel, Kerstin
Struthers, Hamish
Tesche, Matthias
Thomason, Larry
author_facet Glantz, Paul
Bourassa, Adam
Herber, Andreas
Iversen, Trond
Karlsson, Johannes
Kirkevåg, Alf
Maturilli, Marion
Seland, Øyvind
Stebel, Kerstin
Struthers, Hamish
Tesche, Matthias
Thomason, Larry
author_sort Glantz, Paul
title Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations
title_short Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations
title_full Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations
title_fullStr Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations
title_full_unstemmed Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations
title_sort remote sensing of aerosols in the arctic for an evaluation of global climate model simulations
publisher BlackWell Publishing Ltd
publishDate 2014
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370760
https://doi.org/10.1002/jgrd.51507
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Arctic
Subarctic
Svalbard
genre_facet Arctic
Subarctic
Svalbard
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC
http://dx.doi.org/10.1002/jgrd.51507
op_rights ©2014. The Authors.
http://creativecommons.org/licenses/by-nc-nd/3.0/
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.1002/jgrd.51507
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