In situ observations and model investigation of the surface radiative budget in the Central Arctic region

• Main Authors: Loyer, Lilian, Pelon, Jacques, Raut, Jean-Christophe, Di Biagio, C., Mariage, Vincent
• Other Authors: TROPO - 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), Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2020
• Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]; Arctic; albedo; Sea ice
• Online Access: https://insu.hal.science/insu-03195164

International audience In the Arctic, the surface radiative budget is changing rapidly with the loss of sea-ice and snow cover and the associated increase of the frequency of boundary layer clouds. Local scale observations over the high Arctic are rare, especially those covering seasonal transitions.In this study, radiometric observations were estimated from the background noise of lidar observations onboard the Ice-Atmospheres-Ocean Operating System (IAOOS) buoys from 2014 to 2019. Data analysis provides statistical information on the surface radiative budget, cloud optical properties and surface properties over sea-ice in the central Arctic region. This unprecented dataset is also compared to in-situ radiative observations from the N-ICE campaign in 2015 and serves to evaluate re-analyses and model outputs from the mesoscale meteorological Polar-WRF model.Our analysis highlights some biases in the surface albedo and ice and snow fractional cover, which leads to significant discrepancies in the shortwave and longwave irradiances. Our results also underline issues in the representation of cloud geometrical and optical properties that may partially compensate errors in the shortwave and longwave irradiances caused by surface properties biases.