Convective boundary-layer height estimation from combined radar and Doppler lidar observations in VORTEX-SE
Autor: | Joan Villalonga, Marcos Paulo Araujo Da Silva, David D. Turner, Susan L. Beveridge, Robin L. Tanamachi, Stephen J. Frasier, Francesc Rocadenbosch |
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Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Doppler lidar
010504 meteorology & atmospheric sciences Planetary boundary layer 0211 other engineering and technologies 02 engineering and technology Optical radar Boundary layer (Meteorology) Adaptive filtering Atmospheric boundary layer Tornados 01 natural sciences Convective Boundary Layer Wind speed law.invention symbols.namesake law Diurnal cycle Capa límit (Meteorologia) Radar Physics::Atmospheric and Oceanic Physics 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Radar òptic Tornadoes Lidar Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC] 13. Climate action symbols S-band radar Tornado Doppler effect Estimation Geology |
Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
Popis: | The Verification of the Origins of Rotation in Tornadoes Experiment Southeast (VORTEX-SE) provides a wealth of long-duration, high-resolution, vertically pointing observations from active and passive ground-based remote sensing systems enabling characterization of the Atmospheric Boundary Layer (ABL) development over distinct regions that are well known for their relatively high tornado frequency. Application of the Extended Kalman Filter (EKF) to BL height estimation in the convective regime (CBLH) of the diurnal cycle from S-band radar reflectivity observations1 has shown to yield accurate results under simple CBL conditions. In this work, we revisit the radar-EKF technique and investigate its main limitations. For example, during daytime clear-sky conditions such as those prevailing in the BL morning transition, weak turbulence leads to very low reflectivity returns, limiting application of this technique. Additionally, turbulent mixing layers capped with a residual layer, and/or multi-layer scenarios can lead the filter to lose track of the BL signature over time. Doppler Wind Lidar (DWL) observations of the vertical wind velocity variance2 provide complementary CBLH estimates to those of the radar-EKF combination, providing potential to disambiguate more complex convective cases. DWL estimates are, however, strongly influenced by the variance threshold selected. The complementarity of radar and DWL for CBLH estimation is studied in reference to radiosoundings. This work was supported by NOAA grants NA1501R4590232 and NA16OAR4590209, and by the Purdue University Dept. of Earth, Atmospheric, and Planetary Sciences (EAPS). CommSensLab-UPC (Excellence Unit MDM-2016-0600 funded by the Agencia Estatal de Investigación, Spain) collaborated via Spanish Gov.- EU Regional Development Funds, ARS project PGC2018-094132-B-I00 and ACTRIS-PPP project GA-739530. The Spanish National Science Foundation (Ministerio de Ciencia, Innovación y Universidades) funded doctoral grant PRE2018-086054 hold by M.P. Araujo da Silva. |
Databáze: | OpenAIRE |
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