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CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations
CLAAS-3, the third edition of the Cloud property dAtAset using SEVIRI (Spinning Enhanced Visible and InfraRed Imager), was released in December 2022. It is based on observations from SEVIRI, on board geostationary satellites Meteosat-8, 9, 10 and 11, which are operated by the European Organisation f...
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Published in: | Earth system science data 2023-11, Vol.15 (11), p.5153-5170 |
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creator | Benas, Nikos Solodovnik, Irina Stengel, Martin Hüser, Imke Karlsson, Karl-Göran Håkansson, Nina Johansson, Erik Eliasson, Salomon Schröder, Marc Hollmann, Rainer Meirink, Jan Fokke |
description | CLAAS-3, the third edition of the Cloud property dAtAset using SEVIRI (Spinning Enhanced Visible and InfraRed Imager), was released in December 2022. It is based on observations from SEVIRI, on board geostationary satellites Meteosat-8, 9, 10 and 11, which are operated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). CLAAS-3 was produced and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF), which aims to provide high-quality satellite-based data records suitable for climate monitoring applications. Compared to previous CLAAS releases, CLAAS-3 is expanded in terms of both temporal extent and cloud properties included, and it is based on partly updated retrieval algorithms. The available data span the period from 2004 to present, covering Europe; Africa; the Atlantic Ocean; and parts of South America, the Middle East and the Indian Ocean. They include cloud fractional coverage, cloud-top height, phase (liquid or ice) and optical and microphysical properties (water path, optical thickness, effective radius and droplet number concentration), from instantaneous data (every 15 min) to monthly averages. In this study we present an extensive evaluation of CLAAS-3 cloud properties, based on independent reference data sets. These include satellite-based retrievals from active and passive sensors, ground-based observations and in situ measurements from flight campaigns. Overall results show very good agreement, with small biases attributable to different sensor characteristics, retrieval/sampling approaches and viewing/illumination conditions. These findings demonstrate the fitness of CLAAS-3 to support the intended applications, which include evaluation of climate models, cloud characterisation and process studies focusing especially on the diurnal cycle and cloud filtering for other applications. The CLAAS-3 data record is publicly available via the CM SAF website at https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V003 (Meirink et al., 2022). |
doi_str_mv | 10.5194/essd-15-5153-2023 |
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It is based on observations from SEVIRI, on board geostationary satellites Meteosat-8, 9, 10 and 11, which are operated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). CLAAS-3 was produced and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF), which aims to provide high-quality satellite-based data records suitable for climate monitoring applications. Compared to previous CLAAS releases, CLAAS-3 is expanded in terms of both temporal extent and cloud properties included, and it is based on partly updated retrieval algorithms. The available data span the period from 2004 to present, covering Europe; Africa; the Atlantic Ocean; and parts of South America, the Middle East and the Indian Ocean. They include cloud fractional coverage, cloud-top height, phase (liquid or ice) and optical and microphysical properties (water path, optical thickness, effective radius and droplet number concentration), from instantaneous data (every 15 min) to monthly averages. In this study we present an extensive evaluation of CLAAS-3 cloud properties, based on independent reference data sets. These include satellite-based retrievals from active and passive sensors, ground-based observations and in situ measurements from flight campaigns. Overall results show very good agreement, with small biases attributable to different sensor characteristics, retrieval/sampling approaches and viewing/illumination conditions. These findings demonstrate the fitness of CLAAS-3 to support the intended applications, which include evaluation of climate models, cloud characterisation and process studies focusing especially on the diurnal cycle and cloud filtering for other applications. The CLAAS-3 data record is publicly available via the CM SAF website at https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V003 (Meirink et al., 2022).</description><identifier>ISSN: 1866-3516</identifier><identifier>ISSN: 1866-3508</identifier><identifier>EISSN: 1866-3516</identifier><identifier>DOI: 10.5194/essd-15-5153-2023</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Algorithms ; Artificial satellites ; Atmosphere ; Calibration ; Climate ; Climate models ; Climate monitoring ; Cloud properties ; Clouds ; Datasets ; Diurnal cycle ; Diurnal variations ; Geostationary satellites ; Ground-based observation ; In situ measurement ; Meteorological satellites ; METEOSAT ; Monitoring ; Oceans ; Optical properties ; Optical thickness ; Product enhancement ; Radiation ; Radiometers ; Retrieval ; Satellites ; Sensors ; Synchronous satellites ; Trends</subject><ispartof>Earth system science data, 2023-11, Vol.15 (11), p.5153-5170</ispartof><rights>COPYRIGHT 2023 Copernicus GmbH</rights><rights>2023. 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It is based on observations from SEVIRI, on board geostationary satellites Meteosat-8, 9, 10 and 11, which are operated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). CLAAS-3 was produced and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF), which aims to provide high-quality satellite-based data records suitable for climate monitoring applications. Compared to previous CLAAS releases, CLAAS-3 is expanded in terms of both temporal extent and cloud properties included, and it is based on partly updated retrieval algorithms. The available data span the period from 2004 to present, covering Europe; Africa; the Atlantic Ocean; and parts of South America, the Middle East and the Indian Ocean. They include cloud fractional coverage, cloud-top height, phase (liquid or ice) and optical and microphysical properties (water path, optical thickness, effective radius and droplet number concentration), from instantaneous data (every 15 min) to monthly averages. In this study we present an extensive evaluation of CLAAS-3 cloud properties, based on independent reference data sets. These include satellite-based retrievals from active and passive sensors, ground-based observations and in situ measurements from flight campaigns. Overall results show very good agreement, with small biases attributable to different sensor characteristics, retrieval/sampling approaches and viewing/illumination conditions. These findings demonstrate the fitness of CLAAS-3 to support the intended applications, which include evaluation of climate models, cloud characterisation and process studies focusing especially on the diurnal cycle and cloud filtering for other applications. The CLAAS-3 data record is publicly available via the CM SAF website at https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V003 (Meirink et al., 2022).</description><subject>Algorithms</subject><subject>Artificial satellites</subject><subject>Atmosphere</subject><subject>Calibration</subject><subject>Climate</subject><subject>Climate models</subject><subject>Climate monitoring</subject><subject>Cloud properties</subject><subject>Clouds</subject><subject>Datasets</subject><subject>Diurnal cycle</subject><subject>Diurnal variations</subject><subject>Geostationary satellites</subject><subject>Ground-based observation</subject><subject>In situ measurement</subject><subject>Meteorological satellites</subject><subject>METEOSAT</subject><subject>Monitoring</subject><subject>Oceans</subject><subject>Optical properties</subject><subject>Optical thickness</subject><subject>Product 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data</jtitle><date>2023-11-27</date><risdate>2023</risdate><volume>15</volume><issue>11</issue><spage>5153</spage><epage>5170</epage><pages>5153-5170</pages><issn>1866-3516</issn><issn>1866-3508</issn><eissn>1866-3516</eissn><abstract>CLAAS-3, the third edition of the Cloud property dAtAset using SEVIRI (Spinning Enhanced Visible and InfraRed Imager), was released in December 2022. It is based on observations from SEVIRI, on board geostationary satellites Meteosat-8, 9, 10 and 11, which are operated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). CLAAS-3 was produced and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF), which aims to provide high-quality satellite-based data records suitable for climate monitoring applications. Compared to previous CLAAS releases, CLAAS-3 is expanded in terms of both temporal extent and cloud properties included, and it is based on partly updated retrieval algorithms. The available data span the period from 2004 to present, covering Europe; Africa; the Atlantic Ocean; and parts of South America, the Middle East and the Indian Ocean. They include cloud fractional coverage, cloud-top height, phase (liquid or ice) and optical and microphysical properties (water path, optical thickness, effective radius and droplet number concentration), from instantaneous data (every 15 min) to monthly averages. In this study we present an extensive evaluation of CLAAS-3 cloud properties, based on independent reference data sets. These include satellite-based retrievals from active and passive sensors, ground-based observations and in situ measurements from flight campaigns. Overall results show very good agreement, with small biases attributable to different sensor characteristics, retrieval/sampling approaches and viewing/illumination conditions. These findings demonstrate the fitness of CLAAS-3 to support the intended applications, which include evaluation of climate models, cloud characterisation and process studies focusing especially on the diurnal cycle and cloud filtering for other applications. 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subjects | Algorithms Artificial satellites Atmosphere Calibration Climate Climate models Climate monitoring Cloud properties Clouds Datasets Diurnal cycle Diurnal variations Geostationary satellites Ground-based observation In situ measurement Meteorological satellites METEOSAT Monitoring Oceans Optical properties Optical thickness Product enhancement Radiation Radiometers Retrieval Satellites Sensors Synchronous satellites Trends |
title | CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations |
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