FN Archimer Export Format
PT J
TI Trade Wind Boundary Layer Turbulence and Shallow Precipitating Convection: New Insights Combining SAR Images, Satellite Brightness Temperature and Airborne In Situ Measurements
BT 
AF Brilouet, P.‐E.
   Bouniol, D.
   Couvreux, F.
   Ayet, Alex
   Granero‐Belinchon, C.
   Lothon, M.
   MOUCHE, Alexis
AS 1:1;2:1;3:1;4:2,3;5:4;6:5;7:6;
FF 1:;2:;3:;4:;5:;6:;7:PDG-ODE-LOPS-SIAM;
C1 CNRM ,Université de Toulouse CNRS Météo‐France Toulouse, France
   CNRS ,Université Grenoble Alpes GIPSA‐Lab Inria Grenoble INP Grenoble, France
   CECI ,Université de Toulouse CNRS CERFACS Toulouse ,France
   Mathematical and Electrical Engineering Department ,IMT Atlantique Lab‐STICC UMR CNRS 6285 29238 Brest ,France
   Laboratoire d'Aerologie, University of Toulouse, CNRS, UPS, Toulouse, France
   Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d'Oceanographie Physique et Spatiale (LOPS), IUEM, Brest 29280, France
C2 CNRM (METEO FRANCE), FRANCE
   CNRS, FRANCE
   UNIV TOULOUSE, FRANCE
   IMT ATLANTIQUE, FRANCE
   UNIV TOULOUSE, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   copubli-france
   copubli-univ-france
IF 5.2
TC 3
UR https://archimer.ifremer.fr/doc/00812/92444/98646.pdf
LA English
DT Article
CR EUREC4A_OA
BO L'Atalante
AB The imprint of marine atmospheric boundary layer (MABL) dynamical structures on sea surface roughness, as seen from Sentinel-1 Synthetic Aperture Radar (SAR) acquisitions, is investigated. We focus on February 13th, 2020, a case study of the EUREC4A (Elucidating the role of clouds-circulation coupling in climate) field campaign. For suppressed conditions, convective rolls imprint on sea surface roughness is confirmed through the intercomparison with MABL turbulent organization deduced from airborne measurements. A discretization of the SAR wide swath into 25 x 25 km2 tiles then allows us to capture the spatial variability of the turbulence organization varying from rolls to cells. Secondly, we objectively detect cold pools within the SAR image and combine them with geostationary brightness temperature. The geometrical or physically-based metrics of cold pools are correlated to cloud properties. This provides a promising methodology to analyze the dynamics of convective systems as seen from below and above. Key Points Atmospheric coherent structures, rolls and cold pools are systematically detected and analyzed in a high-resolution SAR wide swath image Properties of rolls from SAR measurements are comparable with the circulation organization deduced from airborne data A diversity of cold pool geometrical and dynamical features is related to cloud life cycle provided by satellite brightness temperature Plain Language Summary We propose an innovative approach to investigate the marine atmospheric boundary layer dynamics by combining spaceborne Synthetic Aperture Radar (SAR) images, brightness temperature from the Geostationary Operational Environmental Satellite (GOES) and in situ turbulence airborne measurements. Focusing on February 13th, 2020, two types of atmospheric processes are investigated: trade wind boundary layer organizations and cold pools. The signature of coherent structures on sea surface roughness, especially convective rolls, is validated with respect to the turbulence airborne measurements. The cold pools are detected within the SAR image using an identification technique based on the filtering of backscatter signal increments. Cold pool characteristics such as their size or the gust front intensity can then be directly derived from the SAR image. The GOES images provide cloud field properties every 10 min. Exploring backward cloud evolution with respect to the SAR image timing appears able to catch the life cycle of cold pools and convective clouds from which they originate. The application of this approach could pave the way to access the dynamics of convective systems as seen from below and above, allowing to go one step further in the quantitative use of SAR images to investigate boundary layer processes. 
PY 2023
PD JAN
SO Geophysical Research Letters
SN 0094-8276
PU American Geophysical Union (AGU)
VL 50
IS 2
UT 000934162700016
DI 10.1029/2022GL102180
ID 92444
ER

EF