Virtual Posters

Wednesday, 23 August 2023: 9:00 AM-10:45 AM
Host: 40th Conference on Radar Meteorology

Papers:
V1
Use of PySTEPS As a Problem-Based Learning Methodology for Weather Radar and Nowcasting Courses in Southern Brazil
Leonardo Calvetti, UFPEL - Universidade Federal de Pelotas, Pelotas, RS, Brazil; Universidade Federal de Pelotas, Pelotas, RS, Brazil; and T. M. Buriol, C. Beneti, and K. Andrzejewski

V2
Spatial Dimension and Duration of Riming Events Determined from Ground-Based Cloud Radar Observations in Western Germany
Paul Ockenfuß, Meteorological Institute, Ludwig-Maximilians University, Munich, BY, Germany; and S. Kneifel, M. Gergely, and M. Frech

Handout (2.1 MB)

V3
Retrieving the hail size distribution from C-band radar Doppler spectra
Mathias Gergely, ; and F. Seeger and M. Frech

Handout (742.5 kB)

V4
Rain Gauges and X-Band Radar Hourly Comparison Under Complex Orographic Conditions in Reunion Island
Ambinintsoa Volatiana Ramanamahefa, University of La Réunion, Saint-Denis, Reunion; and T. Padmanabhan, G. LESAGE, and J. VAN BAELEN

V5
Dynamics of Orographic Precipitation Associated with the Passage of the Tropical Cyclone Batsirai Nearby Reunion Island
Thiruvengadam Padmanabhan, University of La Réunion, Saint-Denis, Reunion; and A. V. Ramanamahefa, C. Soufflet, G. LESAGE, and J. VAN BAELEN

V6
Improving X-Band Weather Radar Calibration By Minimizing Radome Influence through Adaptive FFT Filtering
Thiruvengadam Padmanabhan, University of La Réunion, Saint-Denis, Reunion; and G. LESAGE, A. V. Ramanamahefa, and J. VAN BAELEN

V7
Quantitative Precipitation Estimation Using Machine Learning Techniques for Weather Radar and Rain Gauge Data Fusion
Fernanda Verdelho, Simepar, Curitiba , Brazil; and C. Beneti, L. Calvetti, R. Calheiros, L. E. S. Oliveira, and M. A. Z. Alves

V9
A Study of LEO Constellations for Signals of Opportunity (SoOp) in Earth Remote Sensing
Rozaine Wijekularatne, Purdue University, West Lafayette, IN; and J. Garrison

V10
Testing an Experimental Dry Snow Zdr Calibration Method on DOW (Doppler on Wheels) Data from Winter 2018
Julián Andres Navarrete Urrego, Universidad Nacional de Columbia, Bogotá, Bogota, Colombia; and J. A. Bruss and R. Tanamachi

Handout (1.9 MB)

V11
Convective Cells Characterization Using Combined Observations from Scanning Dual-Polarization Doppler Radars and the GOES Satellite
Aida Galfione, DIATI, Politecnico di Torino, Torino, Italy; and A. Battaglia, B. P. Tresseras, M. Oue, E. Luke, and P. Kollias

Handout (885.5 kB)

V12
Analysis of Convective Cell Evolution Using High-Temporal, High-Vertical Resolution Cell Tracking Observations By C-Band Polarimetric Radars
Mariko Oue, Stony Brook Univ., Stony Brook, NY; and K. Lamer, P. Kollias, B. P. Tresseras, E. Luke, J. Barr, Z. J. Mages, P. Borque, S. M. Saleeby, P. J. Marinescu, B. Dolan, and S. C. Van Den Heever

Handout (2.8 MB)

V15
Experiments on WLAN Interference Reduction by Dynamic Frequency Selection in C-Band Weather Radars
Daichi Kitahara, Osaka University, Suita, Japan; and A. Arruti, M. Cancelada, M. Rugna, P. Salio, L. Vidal, and T. Ushio

Handout (1.9 MB)

V16
KDP Estimation Based on Spline Smoothing with the Self-Consistency Principle
Daichi Kitahara, Osaka University, Suita, Japan; and A. Arruti, M. Cancelada, M. Rugna, P. Salio, L. Vidal, Y. Wada, E. Yoshikawa, V. Chandrasekar, and T. Ushio

Handout (2.0 MB)

V17
Observations of wet downburst during a heavy rain event in Taipei Metropolitan
JONG-DAO JOU, National Taiwan University, Taipei, Taiwan, Taiwan; and Y. KAI-HSIANG and C. J. Jung

Handout (2.4 MB)

V19
Retrieval Wind Fields Based on Doppler Radar Network
xudong liang, Chinese Academy of Meteorological Sciences, Beijing, Beijing, China; Chinese Academy of Meteorological Sciences, Beijing, 11, China; and Y. Xie and F. Li

V20
Polarimetric Radar and Surface Electric Potential Gradient Study of Non-Thunderstorm Cumulus Cloud Electrification
William Curtis, Florida State University EOAS, Tallahassee, FL; and H. E. Fuelberg and K. L. Cummins

Handout (1.1 MB)

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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