Toward autonomous surface-based infrared remote sensing of polar clouds: Retrievals of cloud optical and microphysical properties

Improvements to climate model results in polar regions require improved knowledge of cloud properties. Surface-based infrared (IR) radiance spectrometers have been used to retrieve cloud properties in polar regions, but measurements are sparse. Reductions in cost and power requirements to allow more...

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Main Authors: Rowe, Penny M., Cox, Christopher J., Neshyba, Steven, Walden, Von P.
Format: Text
Language:unknown
Published: Sound Ideas 2019
Subjects:
Online Access:https://soundideas.pugetsound.edu/faculty_pubs/3403
https://soundideas.pugetsound.edu/context/faculty_pubs/article/4412/type/native/viewcontent
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spelling ftunivpugetsound:oai:soundideas.pugetsound.edu:faculty_pubs-4412 2023-05-15T15:11:40+02:00 Toward autonomous surface-based infrared remote sensing of polar clouds: Retrievals of cloud optical and microphysical properties Rowe, Penny M. Cox, Christopher J. Neshyba, Steven Walden, Von P. 2019-09-23T07:00:00Z text/html https://soundideas.pugetsound.edu/faculty_pubs/3403 https://soundideas.pugetsound.edu/context/faculty_pubs/article/4412/type/native/viewcontent unknown Sound Ideas https://soundideas.pugetsound.edu/faculty_pubs/3403 https://soundideas.pugetsound.edu/context/faculty_pubs/article/4412/type/native/viewcontent All Faculty Scholarship text 2019 ftunivpugetsound 2022-07-27T18:36:38Z Improvements to climate model results in polar regions require improved knowledge of cloud properties. Surface-based infrared (IR) radiance spectrometers have been used to retrieve cloud properties in polar regions, but measurements are sparse. Reductions in cost and power requirements to allow more widespread measurements could be aided by reducing instrument resolution. Here we explore the effects of errors and instrument resolution on cloud property retrievals from downwelling IR radiances for resolutions of 0.1 to 20 cm-1. Retrievals are tested on 336 radiance simulations characteristic of the Arctic, including mixed-phase, vertically inhomogeneous, and liquid-topped clouds and a variety of ice habits. Retrieval accuracy is found to be unaffected by resolution from 0.1 to 4 cm-1, after which it decreases slightly. When cloud heights are retrieved, errors in retrieved cloud optical depth (COD) and ice fraction are considerably smaller for clouds with bases below 2 km than for higher clouds. For example, at a resolution of 4 cm-1, with errors imposed (noise and radiation bias of 0.2 mW/(m2 sr cm-1) and biases in temperature of 0.2K and in water vapor of -3 %), using retrieved cloud heights, root-mean-square errors decrease from 1.1 to 0.15 for COD, 0.3 to 0.18 for ice fraction (fice), and 10 to 7 μm for ice effective radius (errors remain at 2 μm for liquid effective radius). These results indicate that a moderately low-resolution, surface-based IR spectrometer could provide cloud property retrievals with accuracy comparable to existing higher-resolution instruments and that such an instrument would be particularly useful for low-level clouds. Text Arctic University of Puget Sound: Sound Ideas Arctic
institution Open Polar
collection University of Puget Sound: Sound Ideas
op_collection_id ftunivpugetsound
language unknown
description Improvements to climate model results in polar regions require improved knowledge of cloud properties. Surface-based infrared (IR) radiance spectrometers have been used to retrieve cloud properties in polar regions, but measurements are sparse. Reductions in cost and power requirements to allow more widespread measurements could be aided by reducing instrument resolution. Here we explore the effects of errors and instrument resolution on cloud property retrievals from downwelling IR radiances for resolutions of 0.1 to 20 cm-1. Retrievals are tested on 336 radiance simulations characteristic of the Arctic, including mixed-phase, vertically inhomogeneous, and liquid-topped clouds and a variety of ice habits. Retrieval accuracy is found to be unaffected by resolution from 0.1 to 4 cm-1, after which it decreases slightly. When cloud heights are retrieved, errors in retrieved cloud optical depth (COD) and ice fraction are considerably smaller for clouds with bases below 2 km than for higher clouds. For example, at a resolution of 4 cm-1, with errors imposed (noise and radiation bias of 0.2 mW/(m2 sr cm-1) and biases in temperature of 0.2K and in water vapor of -3 %), using retrieved cloud heights, root-mean-square errors decrease from 1.1 to 0.15 for COD, 0.3 to 0.18 for ice fraction (fice), and 10 to 7 μm for ice effective radius (errors remain at 2 μm for liquid effective radius). These results indicate that a moderately low-resolution, surface-based IR spectrometer could provide cloud property retrievals with accuracy comparable to existing higher-resolution instruments and that such an instrument would be particularly useful for low-level clouds.
format Text
author Rowe, Penny M.
Cox, Christopher J.
Neshyba, Steven
Walden, Von P.
spellingShingle Rowe, Penny M.
Cox, Christopher J.
Neshyba, Steven
Walden, Von P.
Toward autonomous surface-based infrared remote sensing of polar clouds: Retrievals of cloud optical and microphysical properties
author_facet Rowe, Penny M.
Cox, Christopher J.
Neshyba, Steven
Walden, Von P.
author_sort Rowe, Penny M.
title Toward autonomous surface-based infrared remote sensing of polar clouds: Retrievals of cloud optical and microphysical properties
title_short Toward autonomous surface-based infrared remote sensing of polar clouds: Retrievals of cloud optical and microphysical properties
title_full Toward autonomous surface-based infrared remote sensing of polar clouds: Retrievals of cloud optical and microphysical properties
title_fullStr Toward autonomous surface-based infrared remote sensing of polar clouds: Retrievals of cloud optical and microphysical properties
title_full_unstemmed Toward autonomous surface-based infrared remote sensing of polar clouds: Retrievals of cloud optical and microphysical properties
title_sort toward autonomous surface-based infrared remote sensing of polar clouds: retrievals of cloud optical and microphysical properties
publisher Sound Ideas
publishDate 2019
url https://soundideas.pugetsound.edu/faculty_pubs/3403
https://soundideas.pugetsound.edu/context/faculty_pubs/article/4412/type/native/viewcontent
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source All Faculty Scholarship
op_relation https://soundideas.pugetsound.edu/faculty_pubs/3403
https://soundideas.pugetsound.edu/context/faculty_pubs/article/4412/type/native/viewcontent
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