Disagreement among global cloud distributions from CALIOP, passive satellite sensors and general circulation models
Cloud detection is the first step of any complex satellite-based cloud retrieval. No instrument detects all clouds, and analyses that use a given satellite climatology can only discuss a specific subset of clouds. We attempt to clarify which subsets of clouds are detected in a robust way by passive...
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Language: | English |
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HAL CCSD
2018
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Online Access: | https://insu.hal.science/insu-01735143 https://insu.hal.science/insu-01735143/document https://insu.hal.science/insu-01735143/file/Noel_20171010.pdf https://doi.org/10.17605/OSF.IO/3ERBJ |
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ftutoulouse3hal:oai:HAL:insu-01735143v1 |
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openpolar |
institution |
Open Polar |
collection |
Université Toulouse III - Paul Sabatier: HAL-UPS |
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ftutoulouse3hal |
language |
English |
topic |
lidar clouds remote sensing climatologies CALIPSO GEWEX [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
spellingShingle |
lidar clouds remote sensing climatologies CALIPSO GEWEX [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] Noel, Vincent Chepfer, H. Chiriaco, Marjolaine Winker, D. Okamoto, H. Hagihara, Y. Cesana, G. Lacour, A. Disagreement among global cloud distributions from CALIOP, passive satellite sensors and general circulation models |
topic_facet |
lidar clouds remote sensing climatologies CALIPSO GEWEX [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
description |
Cloud detection is the first step of any complex satellite-based cloud retrieval. No instrument detects all clouds, and analyses that use a given satellite climatology can only discuss a specific subset of clouds. We attempt to clarify which subsets of clouds are detected in a robust way by passive sensors, and which require active sensors. To do so, we identify where retrievals of Cloud Amounts (CAs), based on numerous sensors and algorithms, differ the most. We investigate large uncertainties, and confront retrievals from the CALIOP lidar, which detects semitransparent clouds and directly measures their vertical distribution, whatever the surface below. We document the cloud vertical distribution, opacity and seasonal variability where CAs from passive sensors disagree most. CALIOP CAs are larger than the passive average by +0.05 (AM) and +0.07 (PM). Over land, the +0.1 average difference rises to +0.2 over the African desert, Antarctica and Greenland, where large passive disagreements are traced to unfavorable surface conditions. Over oceans, CALIOP retrievals are closer to the average of passive retrievals except over the ITCZ (+0.1). Passive CAs disagree more in tropical areas associated with large-scale subsidence, where CALIOP observes a specific multi-layer cloud population: optically thin, high-level clouds and opaque (z>7km), shallow boundary layer clouds (z<2km). We evaluate the CA and cloud vertical distribution from 8 General Circulation Models where passive retrievals disagree and CALIOP provides new information. We find that modeled clouds are not more realistic where cloud detections from passive observations have long been robust, than where active sensors provide more reliable information. |
author2 |
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) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-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) SPACE - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) NASA Langley Research Center Hampton (LaRC) Research Institute for Applied Mechanics Fukuoka (RIAM) Kyushu University |
format |
Report |
author |
Noel, Vincent Chepfer, H. Chiriaco, Marjolaine Winker, D. Okamoto, H. Hagihara, Y. Cesana, G. Lacour, A. |
author_facet |
Noel, Vincent Chepfer, H. Chiriaco, Marjolaine Winker, D. Okamoto, H. Hagihara, Y. Cesana, G. Lacour, A. |
author_sort |
Noel, Vincent |
title |
Disagreement among global cloud distributions from CALIOP, passive satellite sensors and general circulation models |
title_short |
Disagreement among global cloud distributions from CALIOP, passive satellite sensors and general circulation models |
title_full |
Disagreement among global cloud distributions from CALIOP, passive satellite sensors and general circulation models |
title_fullStr |
Disagreement among global cloud distributions from CALIOP, passive satellite sensors and general circulation models |
title_full_unstemmed |
Disagreement among global cloud distributions from CALIOP, passive satellite sensors and general circulation models |
title_sort |
disagreement among global cloud distributions from caliop, passive satellite sensors and general circulation models |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://insu.hal.science/insu-01735143 https://insu.hal.science/insu-01735143/document https://insu.hal.science/insu-01735143/file/Noel_20171010.pdf https://doi.org/10.17605/OSF.IO/3ERBJ |
genre |
Antarc* Antarctica Greenland |
genre_facet |
Antarc* Antarctica Greenland |
op_source |
https://insu.hal.science/insu-01735143 2018 |
op_relation |
info:eu-repo/semantics/altIdentifier/arxiv/1803.06143 info:eu-repo/semantics/altIdentifier/doi/10.17605/OSF.IO/3ERBJ insu-01735143 https://insu.hal.science/insu-01735143 https://insu.hal.science/insu-01735143/document https://insu.hal.science/insu-01735143/file/Noel_20171010.pdf ARXIV: 1803.06143 doi:10.17605/OSF.IO/3ERBJ |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.17605/OSF.IO/3ERBJ |
_version_ |
1799469390332166144 |
spelling |
ftutoulouse3hal:oai:HAL:insu-01735143v1 2024-05-19T07:31:32+00:00 Disagreement among global cloud distributions from CALIOP, passive satellite sensors and general circulation models Noel, Vincent Chepfer, H. Chiriaco, Marjolaine Winker, D. Okamoto, H. Hagihara, Y. Cesana, G. Lacour, A. 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) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-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) SPACE - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) NASA Langley Research Center Hampton (LaRC) Research Institute for Applied Mechanics Fukuoka (RIAM) Kyushu University 2018-03-16 https://insu.hal.science/insu-01735143 https://insu.hal.science/insu-01735143/document https://insu.hal.science/insu-01735143/file/Noel_20171010.pdf https://doi.org/10.17605/OSF.IO/3ERBJ en eng HAL CCSD info:eu-repo/semantics/altIdentifier/arxiv/1803.06143 info:eu-repo/semantics/altIdentifier/doi/10.17605/OSF.IO/3ERBJ insu-01735143 https://insu.hal.science/insu-01735143 https://insu.hal.science/insu-01735143/document https://insu.hal.science/insu-01735143/file/Noel_20171010.pdf ARXIV: 1803.06143 doi:10.17605/OSF.IO/3ERBJ info:eu-repo/semantics/OpenAccess https://insu.hal.science/insu-01735143 2018 lidar clouds remote sensing climatologies CALIPSO GEWEX [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] info:eu-repo/semantics/preprint Preprints, Working Papers, . 2018 ftutoulouse3hal https://doi.org/10.17605/OSF.IO/3ERBJ 2024-04-25T01:19:14Z Cloud detection is the first step of any complex satellite-based cloud retrieval. No instrument detects all clouds, and analyses that use a given satellite climatology can only discuss a specific subset of clouds. We attempt to clarify which subsets of clouds are detected in a robust way by passive sensors, and which require active sensors. To do so, we identify where retrievals of Cloud Amounts (CAs), based on numerous sensors and algorithms, differ the most. We investigate large uncertainties, and confront retrievals from the CALIOP lidar, which detects semitransparent clouds and directly measures their vertical distribution, whatever the surface below. We document the cloud vertical distribution, opacity and seasonal variability where CAs from passive sensors disagree most. CALIOP CAs are larger than the passive average by +0.05 (AM) and +0.07 (PM). Over land, the +0.1 average difference rises to +0.2 over the African desert, Antarctica and Greenland, where large passive disagreements are traced to unfavorable surface conditions. Over oceans, CALIOP retrievals are closer to the average of passive retrievals except over the ITCZ (+0.1). Passive CAs disagree more in tropical areas associated with large-scale subsidence, where CALIOP observes a specific multi-layer cloud population: optically thin, high-level clouds and opaque (z>7km), shallow boundary layer clouds (z<2km). We evaluate the CA and cloud vertical distribution from 8 General Circulation Models where passive retrievals disagree and CALIOP provides new information. We find that modeled clouds are not more realistic where cloud detections from passive observations have long been robust, than where active sensors provide more reliable information. Report Antarc* Antarctica Greenland Université Toulouse III - Paul Sabatier: HAL-UPS |