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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370760/ https://www.ncbi.nlm.nih.gov/pubmed/25821664 http://dx.doi.org/10.1002/jgrd.51507 |
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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 |
collection | PubMed |
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. KEY POINTS: Remote sensing of AOT is very useful in validation of climate models. |
format | Online Article Text |
id | pubmed-4370760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BlackWell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-43707602015-03-27 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 J Geophys Res Atmos Research Articles 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. KEY POINTS: Remote sensing of AOT is very useful in validation of climate models. BlackWell Publishing Ltd 2014-07-16 2014-07-02 /pmc/articles/PMC4370760/ /pubmed/25821664 http://dx.doi.org/10.1002/jgrd.51507 Text en ©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. |
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 |
title | 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_short | 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 |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370760/ https://www.ncbi.nlm.nih.gov/pubmed/25821664 http://dx.doi.org/10.1002/jgrd.51507 |
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