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...
| Main Authors: | , , , |
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| Format: | Conference Object |
| Language: | unknown |
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GFZ German Research Centre for Geosciences
2023
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| Online Access: | https://dx.doi.org/10.57757/iugg23-0825 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016664 |
| Summary: | <!--!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) ... |
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