Validation of the Cloud_CCI 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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Main Authors: Vinjamuri, Kameswara S., Vountas, Marco, Lelli, Luca, Stengel, Martin, Shupe, Matthew D., Ebell, Kerstin, Burrows, John P.
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/amt-2022-312
https://amt.copernicus.org/preprints/amt-2022-312/
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spelling ftcopernicus:oai:publications.copernicus.org:amtd107854 2023-05-15T14:56:38+02:00 Validation of the Cloud_CCI cloud products in the Arctic Vinjamuri, Kameswara S. Vountas, Marco Lelli, Luca Stengel, Martin Shupe, Matthew D. Ebell, Kerstin Burrows, John P. 2023-01-30 application/pdf https://doi.org/10.5194/amt-2022-312 https://amt.copernicus.org/preprints/amt-2022-312/ eng eng doi:10.5194/amt-2022-312 https://amt.copernicus.org/preprints/amt-2022-312/ eISSN: 1867-8548 Text 2023 ftcopernicus https://doi.org/10.5194/amt-2022-312 2023-02-06T17:22:43Z 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’s (ESA) Cloud Climate Change Initiative (Cloud_CCI) project, which 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), have 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 ... Text Arctic Climate change north slope Ny Ålesund Ny-Ålesund Alaska Copernicus Publications: E-Journals Arctic Ny-Ålesund
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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’s (ESA) Cloud Climate Change Initiative (Cloud_CCI) project, which 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), have 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 ...
format Text
author Vinjamuri, Kameswara S.
Vountas, Marco
Lelli, Luca
Stengel, Martin
Shupe, Matthew D.
Ebell, Kerstin
Burrows, John P.
spellingShingle Vinjamuri, Kameswara S.
Vountas, Marco
Lelli, Luca
Stengel, Martin
Shupe, Matthew D.
Ebell, Kerstin
Burrows, John P.
Validation of the Cloud_CCI cloud products in the Arctic
author_facet Vinjamuri, Kameswara S.
Vountas, Marco
Lelli, Luca
Stengel, Martin
Shupe, Matthew D.
Ebell, Kerstin
Burrows, John P.
author_sort Vinjamuri, Kameswara S.
title Validation of the Cloud_CCI cloud products in the Arctic
title_short Validation of the Cloud_CCI cloud products in the Arctic
title_full Validation of the Cloud_CCI cloud products in the Arctic
title_fullStr Validation of the Cloud_CCI cloud products in the Arctic
title_full_unstemmed Validation of the Cloud_CCI cloud products in the Arctic
title_sort validation of the cloud_cci cloud products in the arctic
publishDate 2023
url https://doi.org/10.5194/amt-2022-312
https://amt.copernicus.org/preprints/amt-2022-312/
geographic Arctic
Ny-Ålesund
geographic_facet Arctic
Ny-Ålesund
genre Arctic
Climate change
north slope
Ny Ålesund
Ny-Ålesund
Alaska
genre_facet Arctic
Climate change
north slope
Ny Ålesund
Ny-Ålesund
Alaska
op_source eISSN: 1867-8548
op_relation doi:10.5194/amt-2022-312
https://amt.copernicus.org/preprints/amt-2022-312/
op_doi https://doi.org/10.5194/amt-2022-312
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