Regional and seasonal variability of clouds in relation with environmental parameters in the Arctic region based on spaceborne remote sensing ...

<!--!introduction!--> The Arctic region is known to be the most sensitive to climate change. This area is warming two to three times faster than other regions of the world. Clouds represent one of the largest sources of uncertainty in modelling the Arctic response to climate change. It is ther...

Full description

Bibliographic Details
Main Authors: Dziduch, Aymeric, Mioche, Guillaume, Bazantay, Clément, Jourdan, Olivier
Format: Conference Object
Language:unknown
Published: GFZ German Research Centre for Geosciences 2023
Subjects:
Arctic
Climate change
Online Access:https://dx.doi.org/10.57757/iugg23-0825
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016664
id ftdatacite:10.57757/iugg23-0825
record_format openpolar
spelling ftdatacite:10.57757/iugg23-0825 2023-06-11T04:08:14+02:00 Regional and seasonal variability of clouds in relation with environmental parameters in the Arctic region based on spaceborne remote sensing ... Dziduch, Aymeric Mioche, Guillaume Bazantay, Clément Jourdan, Olivier 2023 https://dx.doi.org/10.57757/iugg23-0825 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016664 unknown GFZ German Research Centre for Geosciences Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ConferencePaper Oral Article 2023 ftdatacite https://doi.org/10.57757/iugg23-0825 2023-06-01T11:06:47Z <!--!introduction!--> The Arctic region is known to be the most sensitive to climate change. This area is warming two to three times faster than other regions of the world. Clouds represent one of the largest sources of uncertainty in modelling the Arctic response to climate change. It is therefore essential to study the impacts and changes related to the thermodynamic and cloud conditions of the area. In the present work, low-level clouds (below 3000 m) occurrences are investigated within the studied area. We analyze their spatial and seasonal variability over the whole Arctic region. This study is conducted between 60°N and 82°N using active remote sensing observations from CALIPSO/CloudSat satellites. The lidar/radar synergy (DARDAR products) allows to identify cloud phase and to determine cloud occurrences. This unique dataset allows the investigation of cloud variability and its influencing parameters over the whole Arctic region and over several years (2007-2016). Statistical analyses (ACP, ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... Conference Object Arctic Climate change DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description <!--!introduction!--> The Arctic region is known to be the most sensitive to climate change. This area is warming two to three times faster than other regions of the world. Clouds represent one of the largest sources of uncertainty in modelling the Arctic response to climate change. It is therefore essential to study the impacts and changes related to the thermodynamic and cloud conditions of the area. In the present work, low-level clouds (below 3000 m) occurrences are investigated within the studied area. We analyze their spatial and seasonal variability over the whole Arctic region. This study is conducted between 60°N and 82°N using active remote sensing observations from CALIPSO/CloudSat satellites. The lidar/radar synergy (DARDAR products) allows to identify cloud phase and to determine cloud occurrences. This unique dataset allows the investigation of cloud variability and its influencing parameters over the whole Arctic region and over several years (2007-2016). Statistical analyses (ACP, ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ...
format Conference Object
author Dziduch, Aymeric
Mioche, Guillaume
Bazantay, Clément
Jourdan, Olivier
spellingShingle Dziduch, Aymeric
Mioche, Guillaume
Bazantay, Clément
Jourdan, Olivier
Regional and seasonal variability of clouds in relation with environmental parameters in the Arctic region based on spaceborne remote sensing ...
author_facet Dziduch, Aymeric
Mioche, Guillaume
Bazantay, Clément
Jourdan, Olivier
author_sort Dziduch, Aymeric
title Regional and seasonal variability of clouds in relation with environmental parameters in the Arctic region based on spaceborne remote sensing ...
title_short Regional and seasonal variability of clouds in relation with environmental parameters in the Arctic region based on spaceborne remote sensing ...
title_full Regional and seasonal variability of clouds in relation with environmental parameters in the Arctic region based on spaceborne remote sensing ...
title_fullStr Regional and seasonal variability of clouds in relation with environmental parameters in the Arctic region based on spaceborne remote sensing ...
title_full_unstemmed Regional and seasonal variability of clouds in relation with environmental parameters in the Arctic region based on spaceborne remote sensing ...
title_sort regional and seasonal variability of clouds in relation with environmental parameters in the arctic region based on spaceborne remote sensing ...
publisher GFZ German Research Centre for Geosciences
publishDate 2023
url https://dx.doi.org/10.57757/iugg23-0825
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016664
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
genre_facet Arctic
Climate change
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.57757/iugg23-0825
_version_ 1768381387887345664

Similar Items