Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic

The role of clouds in the Arctic radiation budget is not well understood. Ground-based and airborne measurements provide valuable data to test and improve our understanding. However, the ground-based measurements are intrinsically sparse, and the airborne observations are snapshots in time and space...

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Published in:Atmospheric Measurement Techniques
Main Authors: Vinjamuri, Kameswara, Vountas, M., Lelli, Luca, Stengel, Martin, Shupe, Matthew D., Ebell, Kerstin, Burrows, J.P.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
Subjects:
Online Access:https://elib.dlr.de/194297/
https://elib.dlr.de/194297/1/amt-16-2903-2023.pdf
https://amt.copernicus.org/articles/16/2903/2023/amt-16-2903-2023.pdf
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spelling ftdlr:oai:elib.dlr.de:194297 2023-11-12T04:10:03+01:00 Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic Vinjamuri, Kameswara Vountas, M. Lelli, Luca Stengel, Martin Shupe, Matthew D. Ebell, Kerstin Burrows, J.P. 2023-01-30 application/pdf https://elib.dlr.de/194297/ https://elib.dlr.de/194297/1/amt-16-2903-2023.pdf https://amt.copernicus.org/articles/16/2903/2023/amt-16-2903-2023.pdf en eng Copernicus Publications https://elib.dlr.de/194297/1/amt-16-2903-2023.pdf Vinjamuri, Kameswara und Vountas, M. und Lelli, Luca und Stengel, Martin und Shupe, Matthew D. und Ebell, Kerstin und Burrows, J.P. (2023) Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic. Atmospheric Measurement Techniques (AMT), 16 (11), Seiten 2903-2918. Copernicus Publications. doi:10.5194/amt-16-2903-2023 <https://doi.org/10.5194/amt-16-2903-2023>. ISSN 1867-1381. Atmosphärenprozessoren Zeitschriftenbeitrag PeerReviewed 2023 ftdlr https://doi.org/10.5194/amt-16-2903-2023 2023-10-30T00:24:24Z The role of clouds in the Arctic radiation budget is not well understood. Ground-based and airborne measurements provide valuable data to test and improve our understanding. However, the ground-based measurements are intrinsically sparse, and the airborne observations are snapshots in time and space. Passive remote sensing measurements from satellite sensors offer high spatial coverage and an evolving time series, having lengths potentially of decades. However, detecting clouds by passive satellite remote sensing sensors is challenging over the Arctic because of the brightness of snow and ice in the ultraviolet and visible spectral regions and because of the small brightness temperature contrast to the surface. Consequently, the quality of the resulting cloud data products needs to be assessed quantitatively. In this study, we validate the cloud data products retrieved from the Advanced Very High Resolution Radiometer (AVHRR) post meridiem (PM) data from the polar-orbiting NOAA-19 satellite and compare them with those derived from the ground-based instruments during the sunlit months. The AVHRR cloud data products by the European Space Agency (ESA) Cloud Climate Change Initiative (Cloud_CCI) project uses the observations in the visible and IR bands to determine cloud properties. The ground-based measurements from four high-latitude sites have been selected for this investigation: Hyytiälä (61.84∘ N, 24.29∘ E), North Slope of Alaska (NSA; 71.32∘ N, 156.61∘ W), Ny-Ålesund (Ny-Å; 78.92∘ N, 11.93∘ E), and Summit (72.59∘ N, 38.42∘ W). The liquid water path (LWP) ground-based data are retrieved from microwave radiometers, while the cloud top height (CTH) has been determined from the integrated lidar–radar measurements. The quality of the satellite products, cloud mask and cloud optical depth (COD), has been assessed using data from NSA, whereas LWP and CTH have been investigated over Hyytiälä, NSA, Ny-Å, and Summit. The Cloud_CCI COD results for liquid water clouds are in better agreement with the NSA radiometer data ... Article in Journal/Newspaper Arctic Arctic Climate change north slope Ny Ålesund Ny-Ålesund Alaska German Aerospace Center: elib - DLR electronic library Arctic Atmospheric Measurement Techniques 16 11 2903 2918
institution Open Polar
collection German Aerospace Center: elib - DLR electronic library
op_collection_id ftdlr
language English
topic Atmosphärenprozessoren
spellingShingle Atmosphärenprozessoren
Vinjamuri, Kameswara
Vountas, M.
Lelli, Luca
Stengel, Martin
Shupe, Matthew D.
Ebell, Kerstin
Burrows, J.P.
Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic
topic_facet Atmosphärenprozessoren
description The role of clouds in the Arctic radiation budget is not well understood. Ground-based and airborne measurements provide valuable data to test and improve our understanding. However, the ground-based measurements are intrinsically sparse, and the airborne observations are snapshots in time and space. Passive remote sensing measurements from satellite sensors offer high spatial coverage and an evolving time series, having lengths potentially of decades. However, detecting clouds by passive satellite remote sensing sensors is challenging over the Arctic because of the brightness of snow and ice in the ultraviolet and visible spectral regions and because of the small brightness temperature contrast to the surface. Consequently, the quality of the resulting cloud data products needs to be assessed quantitatively. In this study, we validate the cloud data products retrieved from the Advanced Very High Resolution Radiometer (AVHRR) post meridiem (PM) data from the polar-orbiting NOAA-19 satellite and compare them with those derived from the ground-based instruments during the sunlit months. The AVHRR cloud data products by the European Space Agency (ESA) Cloud Climate Change Initiative (Cloud_CCI) project uses the observations in the visible and IR bands to determine cloud properties. The ground-based measurements from four high-latitude sites have been selected for this investigation: Hyytiälä (61.84∘ N, 24.29∘ E), North Slope of Alaska (NSA; 71.32∘ N, 156.61∘ W), Ny-Ålesund (Ny-Å; 78.92∘ N, 11.93∘ E), and Summit (72.59∘ N, 38.42∘ W). The liquid water path (LWP) ground-based data are retrieved from microwave radiometers, while the cloud top height (CTH) has been determined from the integrated lidar–radar measurements. The quality of the satellite products, cloud mask and cloud optical depth (COD), has been assessed using data from NSA, whereas LWP and CTH have been investigated over Hyytiälä, NSA, Ny-Å, and Summit. The Cloud_CCI COD results for liquid water clouds are in better agreement with the NSA radiometer data ...
format Article in Journal/Newspaper
author Vinjamuri, Kameswara
Vountas, M.
Lelli, Luca
Stengel, Martin
Shupe, Matthew D.
Ebell, Kerstin
Burrows, J.P.
author_facet Vinjamuri, Kameswara
Vountas, M.
Lelli, Luca
Stengel, Martin
Shupe, Matthew D.
Ebell, Kerstin
Burrows, J.P.
author_sort Vinjamuri, Kameswara
title Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic
title_short Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic
title_full Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic
title_fullStr Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic
title_full_unstemmed Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic
title_sort validation of the cloud_cci (cloud climate change initiative) cloud products in the arctic
publisher Copernicus Publications
publishDate 2023
url https://elib.dlr.de/194297/
https://elib.dlr.de/194297/1/amt-16-2903-2023.pdf
https://amt.copernicus.org/articles/16/2903/2023/amt-16-2903-2023.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctic
Climate change
north slope
Ny Ålesund
Ny-Ålesund
Alaska
genre_facet Arctic
Arctic
Climate change
north slope
Ny Ålesund
Ny-Ålesund
Alaska
op_relation https://elib.dlr.de/194297/1/amt-16-2903-2023.pdf
Vinjamuri, Kameswara und Vountas, M. und Lelli, Luca und Stengel, Martin und Shupe, Matthew D. und Ebell, Kerstin und Burrows, J.P. (2023) Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic. Atmospheric Measurement Techniques (AMT), 16 (11), Seiten 2903-2918. Copernicus Publications. doi:10.5194/amt-16-2903-2023 <https://doi.org/10.5194/amt-16-2903-2023>. ISSN 1867-1381.
op_doi https://doi.org/10.5194/amt-16-2903-2023
container_title Atmospheric Measurement Techniques
container_volume 16
container_issue 11
container_start_page 2903
op_container_end_page 2918
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