FN Archimer Export Format PT J TI An assessment of marine atmospheric boundary layer roll detection using Sentinel-1 SAR data BT AF Wang, Chen Vandemark, Douglas Mouche, Alexis Chapron, Bertrand LI, Huimin Foster, Ralph C. AS 1:1,2;2:3;3:1;4:1;5:4;6:5; FF 1:PDG-ODE-LOPS-SIAM;2:;3:PDG-ODE-LOPS-SIAM;4:PDG-ODE-LOPS-SIAM;5:PDG-ODE-LOPS-SIAM;6:; C1 IFREMER, Univ. Brest, CNRS, IRD, Laboratoire d'Oceanographie Physique et Spatiale (LOPS), Brest, France IMT Atlantique, Lab-STICC, UBL, Brest, France Ocean Processes Analysis Laboratory, University of New Hampshire, Durham, NH, USA School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China Applied Physics Laboratory, University of Washington, Seattle, WA, USA C2 IFREMER, FRANCE IMT ATLANTIQUE, FRANCE UNIV NEW HAMPSHIRE, USA UNIV NANJING, CHINA UNIV WASHINGTON, USA SI BREST SE PDG-ODE-LOPS-SIAM UM LOPS IN WOS Ifremer UMR copubli-france copubli-int-hors-europe copubli-sud IF 10.164 TC 12 UR https://archimer.ifremer.fr/doc/00643/75497/80065.pdf LA English DT Article DE ;Marine atmospheric boundary layer rolls;Surface wind perturbation;Synthetic aperture radar (SAR);Sentinel-1 wave mode;Imaging sensitivity AB The ability of high-resolution synthetic aperture radar (SAR) to detect marine atmospheric boundary layer (MABL) roll-induced roughness modulation of the sea surface wave field is well known. This study presents SAR measurements of MABL rolls using global coverage data collected by the European Space Agency's C-band Sentinel-1A satellite in 2016–2017. An automated classifier is used to identify likely roll events from more than 1.3 million images that were acquired at two incidence angles of 23° and 36.5° in either VV or HH polarization. Characteristics of the detected rolls are examined for different wind speeds, polarizations, incidence and relative azimuth angles. Roll detection counts are much higher at the higher incidence angle and nearly equivalent for VV and HH polarizations. Detection depends strongly on the relative azimuth with roll detection rates at crosswind being 3–10 times lower than for up- or downwind. All data show a low wind speed threshold near 2 m s−1 and that rolls are most commonly observed at wind speeds near 9 m s−1. For all viewing configurations, we find that rolls induce a wide range of mean surface wind speed modulation with the most frequent value being 8% (±3.5%). Roll detection at crosswind is associated with stronger roll-induced surface wind enhancement. Dependencies of roll detection on the incidence and relative azimuth angles are consistent with rapid short-scale wind-wave adjustments to the roll-induced surface wind gusts. These cm-scale waves are highly directional and provide limited crosswind backscatter at shallower incidence angles. The same roll-induced surface forcing is thus not equally detectable at all viewing geometries or polarizaions. Stronger and possibly longer-duration wind forcing is likely needed to produce detectable roll-induced modulations at crosswind. PY 2020 PD DEC SO Remote Sensing Of Environment SN 0034-4257 PU Elsevier BV VL 250 UT 000585305400007 DI 10.1016/j.rse.2020.112031 ID 75497 ER EF