Characterisation and surface radiative impact of Arctic low clouds from the IAOOS field experiment

Maillard, Julia; Ravetta, François; Raut, Jean-Christophe; Mariage, Vincent; Pelon, Jacques

doi:https://doi.org/10.5194/acp-21-4079-2021

Articles | Volume 21, issue 5

https://doi.org/10.5194/acp-21-4079-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-4079-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 5

Research article

|

18 Mar 2021

Research article |

| 18 Mar 2021

Characterisation and surface radiative impact of Arctic low clouds from the IAOOS field experiment

Julia Maillard, François Ravetta, Jean-Christophe Raut, Vincent Mariage, and Jacques Pelon

Data sets

N-ICE2015 surface broadband radiation data S. R. Hudson, L. Cohen, and V. P. Walden https://doi.org/10.21334/npolar.2016.a89cb766

IAOOS Lidar Observation data - level 0.5 F. Ravetta and N. Pascal https://www.aeris-data.fr/catalogue/

ERA5 hourly data on single levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

Short summary

Clouds remain a major source of uncertainty in understanding the Arctic climate, due in part to the lack of measurements over the sea ice. In this paper, we exploit a series of lidar profiles acquired from autonomous drifting buoys deployed in the Arctic Ocean and derive a statistic of low cloud frequency and macrophysical properties. We also show that clouds contribute to warm the surface in the shoulder seasons but not significantly from May to September.