Using in-situ airborne measurements to evaluate three cloud phase products derived from CALIPSO
International audience We compare the cloud detection and cloud phase determination of three independent climatologies based on Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) to airborne in situ measurements. Our analysis of the cloud detection shows that the differences...
Published in: | Journal of Geophysical Research: Atmospheres |
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Main Authors: | , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2016
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Subjects: | |
Online Access: | https://hal.sorbonne-universite.fr/hal-01318943 https://hal.sorbonne-universite.fr/hal-01318943/document https://hal.sorbonne-universite.fr/hal-01318943/file/Cesana_2016_Using_in_situ.pdf https://doi.org/10.1002/2015JD024334 |
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ftmeteofrance:oai:HAL:hal-01318943v1 |
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openpolar |
institution |
Open Polar |
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Météo-France: HAL |
op_collection_id |
ftmeteofrance |
language |
English |
topic |
validation in situ cloud phase CALIPSO cloud [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
validation in situ cloud phase CALIPSO cloud [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Cesana, Gregory Chepfer, H. Winker, D. Getzewich, B. Cai, X. Jourdan, O. Mioche, G. Okamoto, H. Hagihara, Y. Noël, Vincent Reverdy, M. Using in-situ airborne measurements to evaluate three cloud phase products derived from CALIPSO |
topic_facet |
validation in situ cloud phase CALIPSO cloud [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience We compare the cloud detection and cloud phase determination of three independent climatologies based on Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) to airborne in situ measurements. Our analysis of the cloud detection shows that the differences between the satellite and in situ measurements mainly arise from three factors. First, averaging CALIPSO Level l data along track before cloud detection increases the estimate of high-and low-level cloud fractions. Second, the vertical averaging of Level 1 data before cloud detection tends to artificially increase the cloud vertical extent. Third, the differences in classification of fully attenuated pixels among the CALIPSO climatologies lead to differences in the low-level Arctic cloud fractions. In another section, we compare the cloudy pixels detected by colocated in situ and satellite observations to study the cloud phase determination. At midlatitudes, retrievals of homogeneous high ice clouds by CALIPSO data sets are very robust (more than 94.6% of agreement with in situ). In the Arctic, where the cloud phase vertical variability is larger within a 480 m pixel, all climatologies show disagreements with the in situ measurements and CALIPSO-General Circulation Models-Oriented Cloud Product (GOCCP) report significant undefined-phase clouds, which likely correspond to mixed-phase clouds. In all CALIPSO products, the phase determination is dominated by the cloud top phase. Finally, we use global statistics to demonstrate that main differences between the CALIPSO cloud phase products stem from the cloud detection (horizontal averaging, fully attenuated pixels) rather than the cloud phase determination procedures. |
author2 |
Jet Propulsion Laboratory (JPL) NASA-California Institute of Technology (CALTECH) 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) NASA Langley Research Center Hampton (LaRC) Science Systems and Applications, Inc. Lanham (SSAI) Laboratoire de météorologie physique (LaMP) Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) Research Institute for Applied Mechanics Fukuoka (RIAM) Kyushu University Laboratoire d'aérologie (LAERO) Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Cesana, Gregory Chepfer, H. Winker, D. Getzewich, B. Cai, X. Jourdan, O. Mioche, G. Okamoto, H. Hagihara, Y. Noël, Vincent Reverdy, M. |
author_facet |
Cesana, Gregory Chepfer, H. Winker, D. Getzewich, B. Cai, X. Jourdan, O. Mioche, G. Okamoto, H. Hagihara, Y. Noël, Vincent Reverdy, M. |
author_sort |
Cesana, Gregory |
title |
Using in-situ airborne measurements to evaluate three cloud phase products derived from CALIPSO |
title_short |
Using in-situ airborne measurements to evaluate three cloud phase products derived from CALIPSO |
title_full |
Using in-situ airborne measurements to evaluate three cloud phase products derived from CALIPSO |
title_fullStr |
Using in-situ airborne measurements to evaluate three cloud phase products derived from CALIPSO |
title_full_unstemmed |
Using in-situ airborne measurements to evaluate three cloud phase products derived from CALIPSO |
title_sort |
using in-situ airborne measurements to evaluate three cloud phase products derived from calipso |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.sorbonne-universite.fr/hal-01318943 https://hal.sorbonne-universite.fr/hal-01318943/document https://hal.sorbonne-universite.fr/hal-01318943/file/Cesana_2016_Using_in_situ.pdf https://doi.org/10.1002/2015JD024334 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ISSN: 2169-897X EISSN: 2169-8996 Journal of Geophysical Research: Atmospheres https://hal.sorbonne-universite.fr/hal-01318943 Journal of Geophysical Research: Atmospheres, 2016, ⟨10.1002/2015JD024334⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1002/2015JD024334 hal-01318943 https://hal.sorbonne-universite.fr/hal-01318943 https://hal.sorbonne-universite.fr/hal-01318943/document https://hal.sorbonne-universite.fr/hal-01318943/file/Cesana_2016_Using_in_situ.pdf doi:10.1002/2015JD024334 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1002/2015JD024334 |
container_title |
Journal of Geophysical Research: Atmospheres |
container_volume |
121 |
container_issue |
10 |
container_start_page |
5788 |
op_container_end_page |
5808 |
_version_ |
1801372784592420864 |
spelling |
ftmeteofrance:oai:HAL:hal-01318943v1 2024-06-09T07:43:58+00:00 Using in-situ airborne measurements to evaluate three cloud phase products derived from CALIPSO Cesana, Gregory Chepfer, H. Winker, D. Getzewich, B. Cai, X. Jourdan, O. Mioche, G. Okamoto, H. Hagihara, Y. Noël, Vincent Reverdy, M. Jet Propulsion Laboratory (JPL) NASA-California Institute of Technology (CALTECH) 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) NASA Langley Research Center Hampton (LaRC) Science Systems and Applications, Inc. Lanham (SSAI) Laboratoire de météorologie physique (LaMP) Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) Research Institute for Applied Mechanics Fukuoka (RIAM) Kyushu University Laboratoire d'aérologie (LAERO) Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2016 https://hal.sorbonne-universite.fr/hal-01318943 https://hal.sorbonne-universite.fr/hal-01318943/document https://hal.sorbonne-universite.fr/hal-01318943/file/Cesana_2016_Using_in_situ.pdf https://doi.org/10.1002/2015JD024334 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1002/2015JD024334 hal-01318943 https://hal.sorbonne-universite.fr/hal-01318943 https://hal.sorbonne-universite.fr/hal-01318943/document https://hal.sorbonne-universite.fr/hal-01318943/file/Cesana_2016_Using_in_situ.pdf doi:10.1002/2015JD024334 info:eu-repo/semantics/OpenAccess ISSN: 2169-897X EISSN: 2169-8996 Journal of Geophysical Research: Atmospheres https://hal.sorbonne-universite.fr/hal-01318943 Journal of Geophysical Research: Atmospheres, 2016, ⟨10.1002/2015JD024334⟩ validation in situ cloud phase CALIPSO cloud [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2016 ftmeteofrance https://doi.org/10.1002/2015JD024334 2024-05-16T12:05:20Z International audience We compare the cloud detection and cloud phase determination of three independent climatologies based on Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) to airborne in situ measurements. Our analysis of the cloud detection shows that the differences between the satellite and in situ measurements mainly arise from three factors. First, averaging CALIPSO Level l data along track before cloud detection increases the estimate of high-and low-level cloud fractions. Second, the vertical averaging of Level 1 data before cloud detection tends to artificially increase the cloud vertical extent. Third, the differences in classification of fully attenuated pixels among the CALIPSO climatologies lead to differences in the low-level Arctic cloud fractions. In another section, we compare the cloudy pixels detected by colocated in situ and satellite observations to study the cloud phase determination. At midlatitudes, retrievals of homogeneous high ice clouds by CALIPSO data sets are very robust (more than 94.6% of agreement with in situ). In the Arctic, where the cloud phase vertical variability is larger within a 480 m pixel, all climatologies show disagreements with the in situ measurements and CALIPSO-General Circulation Models-Oriented Cloud Product (GOCCP) report significant undefined-phase clouds, which likely correspond to mixed-phase clouds. In all CALIPSO products, the phase determination is dominated by the cloud top phase. Finally, we use global statistics to demonstrate that main differences between the CALIPSO cloud phase products stem from the cloud detection (horizontal averaging, fully attenuated pixels) rather than the cloud phase determination procedures. Article in Journal/Newspaper Arctic Météo-France: HAL Arctic Journal of Geophysical Research: Atmospheres 121 10 5788 5808 |