Translator Disclaimer
Presentation + Paper
20 September 2020 Atmospheric boundary layer height disambiguation using synergistic remote sensing observations: case examples from VORTEX-SE
Author Affiliations +
Abstract
Synergistic remote sensing of the atmosphere, combined with adaptive techniques, offers unprecedented opportunities to characterise the evolution of key atmospheric features such as the Atmospheric Boundary Layer (ABL). Using long-duration, high-resolution, profiling observations from active and passive ground-based remote sensing systems during the Verification of the Origins of Rotation in Tornadoes Experiment{Southeast (VORTEX-SE) 2017 field campaign, an attempt is made to characterise ABL development over distinct regions that are well known for their relatively high tornado frequency. In this study, observing systems include an S-band radar, Vaisala CL-31 ceilometer, Doppler Wind lidar (DWL) and radiometric observations from the Collaborative Lower Atmosphere Mobile Profiling System (CLAMPS). In this work, ABL height (ABLH) tracking over the diurnal cycle, and - up to a point - its disambiguation over selected non-precipitating case examples, are attempted. Different observational sets are used, namely, radar reflectivity observations assimilated into a Kalman filter, DWL profiles of the vertical velocity, and virtual potential temperature profiles, as well as radiosoundings and cloudbase reference information collected during Intensive Observation Periods (IOP) carried out in VORTEX-SE, Alabama during 2017. Limitations and advantages of each system are discussed.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francesc Rocadenbosch, Robin L. Tanamachi, Marcos P. Araujo da Silva, Joan Villalonga, Stephen J. Frasier, and David D. Turner "Atmospheric boundary layer height disambiguation using synergistic remote sensing observations: case examples from VORTEX-SE", Proc. SPIE 11531, Remote Sensing of Clouds and the Atmosphere XXV, 115310L (20 September 2020); https://doi.org/10.1117/12.2576093
PROCEEDINGS
12 PAGES + PRESENTATION

SHARE
Advertisement
Advertisement
RELATED CONTENT


Back to Top