A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010
International audience Active remote sensing instruments such as lidar and radar allow us to accurately detect the presence of clouds and give information on their vertical structure and phase. In order to better address cloud radiative impact over the Arctic area, a combined analysis based on lidar...
Published in: | Journal of Applied Meteorology and Climatology |
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Main Authors: | , , , , , |
Other Authors: | , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2014
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Subjects: | |
Online Access: | https://hal.science/hal-01072075 https://hal.science/hal-01072075/document https://hal.science/hal-01072075/file/jamc-d-14-0021_1.pdf https://doi.org/10.1175/JAMC-D-14-0021.1 |
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ftuniversailles:oai:HAL:hal-01072075v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
op_collection_id |
ftuniversailles |
language |
English |
topic |
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology |
spellingShingle |
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology Blanchard, Yann Pelon, Jacques Eloranta, Edwin W. Moran, Kenneth P. Delanoë, Julien Sèze, Geneviève A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 |
topic_facet |
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology |
description |
International audience Active remote sensing instruments such as lidar and radar allow us to accurately detect the presence of clouds and give information on their vertical structure and phase. In order to better address cloud radiative impact over the Arctic area, a combined analysis based on lidar and radar ground-based and A-Train satellite measurements was carried out to evaluate the efficiency of cloud detection, as well as cloud type and vertical distribution, over Eureka (80 °N, 86 °W) between June 2006 and May 2010. CALIPSO and CloudSat data were first compared to the independent ground-based cloud measurements. Seasonal and monthly trends from independent observations were found to be similar amongst all datasets except when compared to the weather station observations, due to the large reported fraction of ice crystals suspended in the lower troposphere in winter. Further investigations focused on satellite observations collocated in space and time with ground-based data. Cloud fraction occurrences from ground-based instruments were well correlated with both CALIPSO operational products and combined CALIPSO-CloudSat retrievals with a hit rate of 85 %. The hit rate was only 77 % for CloudSat products. The misdetections were mainly attributed to a) undetected low-level clouds due to sensitivity loss, and b) missed clouds because of the distance between the satellite track and the station. The spaceborne lidar-radar synergy was found to be essential to have a complete picture of the cloud vertical profile down to 2 km. Errors are quantified and discussed. |
author2 |
SPACE - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) TROPO - LATMOS Space Science and Engineering Center Madison (SSEC) University of Wisconsin-Madison NOAA Earth System Research Laboratory (ESRL) National Oceanic and Atmospheric Administration (NOAA) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) |
format |
Article in Journal/Newspaper |
author |
Blanchard, Yann Pelon, Jacques Eloranta, Edwin W. Moran, Kenneth P. Delanoë, Julien Sèze, Geneviève |
author_facet |
Blanchard, Yann Pelon, Jacques Eloranta, Edwin W. Moran, Kenneth P. Delanoë, Julien Sèze, Geneviève |
author_sort |
Blanchard, Yann |
title |
A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 |
title_short |
A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 |
title_full |
A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 |
title_fullStr |
A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 |
title_full_unstemmed |
A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 |
title_sort |
synergistic analysis of cloud cover and vertical distribution from a-train and ground-based sensors over the high arctic station eureka from 2006 to 2010 |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.science/hal-01072075 https://hal.science/hal-01072075/document https://hal.science/hal-01072075/file/jamc-d-14-0021_1.pdf https://doi.org/10.1175/JAMC-D-14-0021.1 |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ISSN: 1558-8424 EISSN: 1558-8432 Journal of Applied Meteorology and Climatology https://hal.science/hal-01072075 Journal of Applied Meteorology and Climatology, 2014, 53 (11), pp.2553-2570. ⟨10.1175/JAMC-D-14-0021.1⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1175/JAMC-D-14-0021.1 hal-01072075 https://hal.science/hal-01072075 https://hal.science/hal-01072075/document https://hal.science/hal-01072075/file/jamc-d-14-0021_1.pdf doi:10.1175/JAMC-D-14-0021.1 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1175/JAMC-D-14-0021.1 |
container_title |
Journal of Applied Meteorology and Climatology |
container_volume |
53 |
container_issue |
11 |
container_start_page |
2553 |
op_container_end_page |
2570 |
_version_ |
1799474958446886912 |
spelling |
ftuniversailles:oai:HAL:hal-01072075v1 2024-05-19T07:35:56+00:00 A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 Blanchard, Yann Pelon, Jacques Eloranta, Edwin W. Moran, Kenneth P. Delanoë, Julien Sèze, Geneviève SPACE - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) TROPO - LATMOS Space Science and Engineering Center Madison (SSEC) University of Wisconsin-Madison NOAA Earth System Research Laboratory (ESRL) National Oceanic and Atmospheric Administration (NOAA) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) 2014 https://hal.science/hal-01072075 https://hal.science/hal-01072075/document https://hal.science/hal-01072075/file/jamc-d-14-0021_1.pdf https://doi.org/10.1175/JAMC-D-14-0021.1 en eng HAL CCSD American Meteorological Society info:eu-repo/semantics/altIdentifier/doi/10.1175/JAMC-D-14-0021.1 hal-01072075 https://hal.science/hal-01072075 https://hal.science/hal-01072075/document https://hal.science/hal-01072075/file/jamc-d-14-0021_1.pdf doi:10.1175/JAMC-D-14-0021.1 info:eu-repo/semantics/OpenAccess ISSN: 1558-8424 EISSN: 1558-8432 Journal of Applied Meteorology and Climatology https://hal.science/hal-01072075 Journal of Applied Meteorology and Climatology, 2014, 53 (11), pp.2553-2570. ⟨10.1175/JAMC-D-14-0021.1⟩ [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology info:eu-repo/semantics/article Journal articles 2014 ftuniversailles https://doi.org/10.1175/JAMC-D-14-0021.1 2024-04-25T00:28:17Z International audience Active remote sensing instruments such as lidar and radar allow us to accurately detect the presence of clouds and give information on their vertical structure and phase. In order to better address cloud radiative impact over the Arctic area, a combined analysis based on lidar and radar ground-based and A-Train satellite measurements was carried out to evaluate the efficiency of cloud detection, as well as cloud type and vertical distribution, over Eureka (80 °N, 86 °W) between June 2006 and May 2010. CALIPSO and CloudSat data were first compared to the independent ground-based cloud measurements. Seasonal and monthly trends from independent observations were found to be similar amongst all datasets except when compared to the weather station observations, due to the large reported fraction of ice crystals suspended in the lower troposphere in winter. Further investigations focused on satellite observations collocated in space and time with ground-based data. Cloud fraction occurrences from ground-based instruments were well correlated with both CALIPSO operational products and combined CALIPSO-CloudSat retrievals with a hit rate of 85 %. The hit rate was only 77 % for CloudSat products. The misdetections were mainly attributed to a) undetected low-level clouds due to sensitivity loss, and b) missed clouds because of the distance between the satellite track and the station. The spaceborne lidar-radar synergy was found to be essential to have a complete picture of the cloud vertical profile down to 2 km. Errors are quantified and discussed. Article in Journal/Newspaper Arctic Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ Journal of Applied Meteorology and Climatology 53 11 2553 2570 |