A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere
Cloud microphysical and macrophysical properties are critical for understanding the role of clouds in climate. These properties are commonly retrieved from ground-based and satellite-based infrared remote sensing instruments. However, retrieval uncertainties are difficult to quantify without a stand...
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Copernicus Publications
2016
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00013434 2023-05-15T14:54:41+02:00 A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere Cox, Christopher J. Rowe, Penny M. Neshyba, Steven P. Walden, Von P. 2016-05 electronic https://doi.org/10.5194/essd-8-199-2016 https://noa.gwlb.de/receive/cop_mods_00013434 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013390/essd-8-199-2016.pdf https://essd.copernicus.org/articles/8/199/2016/essd-8-199-2016.pdf eng eng Copernicus Publications Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-8-199-2016 https://noa.gwlb.de/receive/cop_mods_00013434 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013390/essd-8-199-2016.pdf https://essd.copernicus.org/articles/8/199/2016/essd-8-199-2016.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2016 ftnonlinearchiv https://doi.org/10.5194/essd-8-199-2016 2022-02-08T22:55:36Z Cloud microphysical and macrophysical properties are critical for understanding the role of clouds in climate. These properties are commonly retrieved from ground-based and satellite-based infrared remote sensing instruments. However, retrieval uncertainties are difficult to quantify without a standard for comparison. This is particularly true over the polar regions, where surface-based data for a cloud climatology are sparse, yet clouds represent a major source of uncertainty in weather and climate models. We describe a synthetic high-spectral-resolution infrared data set that is designed to facilitate validation and development of cloud retrieval algorithms for surface- and satellite-based remote sensing instruments. Since the data set is calculated using pre-defined cloudy atmospheres, the properties of the cloud and atmospheric state are known a priori. The atmospheric state used for the simulations is drawn from radiosonde measurements made at the North Slope of Alaska (NSA) Atmospheric Radiation Measurement (ARM) site at Barrow, Alaska (71.325° N, 156.615° W), a location that is generally representative of the western Arctic. The cloud properties for each simulation are selected from statistical distributions derived from past field measurements. Upwelling (at 60 km) and downwelling (at the surface) infrared spectra are simulated for 260 cloudy cases from 50 to 3000 cm−1 (3.3 to 200 µm) at monochromatic (line-by-line) resolution at a spacing of ∼ 0.01 cm−1 using the Line-by-line Radiative Transfer Model (LBLRTM) and the discrete-ordinate-method radiative transfer code (DISORT). These spectra are freely available for interested researchers from the NSF Arctic Data Center data repository (doi:10.5065/D61J97TT). Article in Journal/Newspaper Arctic Barrow north slope Alaska Niedersächsisches Online-Archiv NOA Arctic Earth System Science Data 8 1 199 211 |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Cox, Christopher J. Rowe, Penny M. Neshyba, Steven P. Walden, Von P. A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere |
topic_facet |
article Verlagsveröffentlichung |
description |
Cloud microphysical and macrophysical properties are critical for understanding the role of clouds in climate. These properties are commonly retrieved from ground-based and satellite-based infrared remote sensing instruments. However, retrieval uncertainties are difficult to quantify without a standard for comparison. This is particularly true over the polar regions, where surface-based data for a cloud climatology are sparse, yet clouds represent a major source of uncertainty in weather and climate models. We describe a synthetic high-spectral-resolution infrared data set that is designed to facilitate validation and development of cloud retrieval algorithms for surface- and satellite-based remote sensing instruments. Since the data set is calculated using pre-defined cloudy atmospheres, the properties of the cloud and atmospheric state are known a priori. The atmospheric state used for the simulations is drawn from radiosonde measurements made at the North Slope of Alaska (NSA) Atmospheric Radiation Measurement (ARM) site at Barrow, Alaska (71.325° N, 156.615° W), a location that is generally representative of the western Arctic. The cloud properties for each simulation are selected from statistical distributions derived from past field measurements. Upwelling (at 60 km) and downwelling (at the surface) infrared spectra are simulated for 260 cloudy cases from 50 to 3000 cm−1 (3.3 to 200 µm) at monochromatic (line-by-line) resolution at a spacing of ∼ 0.01 cm−1 using the Line-by-line Radiative Transfer Model (LBLRTM) and the discrete-ordinate-method radiative transfer code (DISORT). These spectra are freely available for interested researchers from the NSF Arctic Data Center data repository (doi:10.5065/D61J97TT). |
format |
Article in Journal/Newspaper |
author |
Cox, Christopher J. Rowe, Penny M. Neshyba, Steven P. Walden, Von P. |
author_facet |
Cox, Christopher J. Rowe, Penny M. Neshyba, Steven P. Walden, Von P. |
author_sort |
Cox, Christopher J. |
title |
A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere |
title_short |
A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere |
title_full |
A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere |
title_fullStr |
A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere |
title_full_unstemmed |
A synthetic data set of high-spectral-resolution infrared spectra for the Arctic atmosphere |
title_sort |
synthetic data set of high-spectral-resolution infrared spectra for the arctic atmosphere |
publisher |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/essd-8-199-2016 https://noa.gwlb.de/receive/cop_mods_00013434 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013390/essd-8-199-2016.pdf https://essd.copernicus.org/articles/8/199/2016/essd-8-199-2016.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Barrow north slope Alaska |
genre_facet |
Arctic Barrow north slope Alaska |
op_relation |
Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-8-199-2016 https://noa.gwlb.de/receive/cop_mods_00013434 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013390/essd-8-199-2016.pdf https://essd.copernicus.org/articles/8/199/2016/essd-8-199-2016.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/essd-8-199-2016 |
container_title |
Earth System Science Data |
container_volume |
8 |
container_issue |
1 |
container_start_page |
199 |
op_container_end_page |
211 |
_version_ |
1766326447289401344 |