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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ftunivpugetsound:oai:soundideas.pugetsound.edu:faculty_pubs-4432 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. 2016-05-12T07:00:00Z text/html https://soundideas.pugetsound.edu/faculty_pubs/3423 https://soundideas.pugetsound.edu/context/faculty_pubs/article/4432/type/native/viewcontent unknown Sound Ideas https://soundideas.pugetsound.edu/faculty_pubs/3423 https://soundideas.pugetsound.edu/context/faculty_pubs/article/4432/type/native/viewcontent All Faculty Scholarship text 2016 ftunivpugetsound 2022-07-27T18:36:38Z 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-spectralresolution 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). Text Arctic Barrow north slope Alaska University of Puget Sound: Sound Ideas Arctic |
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University of Puget Sound: Sound Ideas |
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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-spectralresolution 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 |
Text |
author |
Cox, Christopher J. Rowe, Penny M. Neshyba, Steven P. Walden, Von P. |
spellingShingle |
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 |
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 |
Sound Ideas |
publishDate |
2016 |
url |
https://soundideas.pugetsound.edu/faculty_pubs/3423 https://soundideas.pugetsound.edu/context/faculty_pubs/article/4432/type/native/viewcontent |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Barrow north slope Alaska |
genre_facet |
Arctic Barrow north slope Alaska |
op_source |
All Faculty Scholarship |
op_relation |
https://soundideas.pugetsound.edu/faculty_pubs/3423 https://soundideas.pugetsound.edu/context/faculty_pubs/article/4432/type/native/viewcontent |
_version_ |
1766326438056689664 |