Poster Session 3 Use of Radar Data for Nowcasting and Numerical Models: Posters.

Monday, 28 August 2017: 2:30 PM-4:00 PM
Zurich DEFG (Swissotel Chicago)
Host: 38th Conference on Radar Meteorology

Poster session on Nowcasting, assimilation of radar data into convective scale models, assimilation of measurements, use of radar data for convective scale model validation and microphysics improvement, combined use of radar and satellite data in NWP models, automated data quality & analysis tools for NWP models, convective-scale ensemble prediction involving radar, optimal scanning strategies, warn-on-forecast. Use of radar and wind profilers in LES scale models.

Papers:
44
Additional Ensemble Perturbations to Correct the Atmospheric Field through Assimilation of Radar Reflectivity
Sho Yokota, MRI, Tsukuba, Japan; and H. Seko, M. Kunii, H. Yamauchi, and E. Sato

Handout (2.7 MB)

45
Validation of Electromagnetic Wind Radar Simulator Based on LES with Scanning X-band Radar Measurements and Meteorological Data
Dmitry A. Kovalev, Université catholique de Louvain, Louvain-la-Neuve, Belgium; and D. Vanhoenacker-Janvier

Handout (1.2 MB)

46
An Iterative Method for Assimilating Precipitation Observations
Andrés A. Pérez Hortal, McGill Univ., Montreal, QC, Canada; and I. Zawadzki and M. K. Yau

47
The Impact of Radar Data Assimilation for Simulate a Supercell in Brazil Southern
Otavio Feitosa, UFPEL, Capão do Leão - RS, Brazil; and L. Calvetti, F. Harter, G. Cassol Machado, R. Toshio, B. B. Maske, and C. Beneti

Handout (25.7 MB)

48
Comparison of Multi-Model Microphysics Schemes using Radar Observations and Data Assimilation Method
Ki-Hong Min, Kyungpook National Univ., Daegu, Korea, Republic of (South); and S. Mallick, J. C. Ha, J. Lee, J. Lee, and J. Bae

49
Assessing Estimates of Low-Level Supercell Circulation and Areal Expansion Rate Diagnosed from Doppler Radar Data: Simulation Study
Vincent T. Wood, NOAA, Norman, OK; and R. P. Davies-Jones and C. K. Potvin

Handout (1.3 MB)

50
Radar-Driven Temperature Nudging for Nowcasting Winter Precipitation
Brandon S Hickman, Univ. of Bonn, Bonn, Germany; and S. Trömel (Troemel), A. Ryzhkov, and C. Simmer

Handout (1.4 MB)

51
Combined Dual-Doppler and Polarimetric Analysis of Precipitating Cells from 2 X-Band Polarimetric Radars
Raquel M. Evaristo, Univ. of Bonn, Bonn, Germany; and K. Mühlbauer, S. Trömel (Troemel), and C. Simmer

52
Retrieving 2D Wind Field from Aliased Doppler Data by Means of Sliding Windows
Markus Peura, Finnish Meteorological Institute, Helsinki, Finland
Manuscript (1.9 MB)

Handout (2.3 MB)

53
Simulating a Precipitation Radar Onboard a Geostationary Satellite
Atsushi Okazaki, RIKEN, Kobe, Japan; and T. Honda, S. Kotsuki, M. Yamaji, T. Kubota, R. Oki, T. Iguchi, and T. Miyoshi

54
A New Scan Mode to Increase Clear-Air Data Coverage for Wind Analysis
Qin Xu, NSSL, Norman, OK; and K. Nai and V. Melnikov

Handout (518.6 kB)

55
Combining Polarimetric Radar Data and HRRR Model Output to Determine Melting Layer Coverage and Surface-Based Precipitation Types in Winter Storms: New Algorithms for the WSR-88D
Terry J. Schuur, CIMMS, Norman, OK; and J. Krause and A. V. Ryzhkov

56
Using Radar Measured Spectrum Width to Estimate Large Scale Background Wind Shear Intensity
Ming Fang, Univ. of Miami/RSMAS, Miami, FL; and B. A. Albrecht

57
Comparison of Assimilation Experiments Before and After Correction of Weather Radar Reflectivity Data in Numerical Model ARPS
Jing Han, Nanjing Univ. of Information Science & Technology, Nanjing, China; and H. Zhang, Z. Wang, Z. Chu, and F. Xu

58
Value-Added Weather Radar Products for Decision Support
Robert J. Dreisewerd, Baron Services, Inc., Huntsville, AL

59
Simulated Polarimetric Radar Fingerprints of Ice Growth in Arctic Mixed-Phase Clouds
Robert S. Schrom, Pennsylvania State Univ., Univ. Park, PA; and J. Y. Harrington and M. R. Kumjian

60
Nowcasting By Blending Techniques Using Cosine Similarity and Lead Time Correction
Min Jang, Hankuk Univ. of Foreign Studies, Yongin-si, Gyeonggi-do, Korea, Republic of (South); and C. H. You, J. B. Jee, and D. I. Lee

61
Quantifying the Latency within Mosaicked Radar Products and Assessing Impacts on Operations
Heather D. Reeves, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and L. Tang, J. Zhang, J. Brogden, and K. Howard

62
A Study on Nowcasting Using a Pyramidal Optical Flow
Limtak Yu, Pukyong National Univ., Busan, Korea, Republic of (South); and D. Lee, J. H. Kim, and J. H. Jeong

63
PNOWWA - Probabilistic Nowcasting of Winter Weather for Airports
Rudolf Kaltenboeck, Austro Control, Innsbruck, Austria; and A. M. Harri, M. Hagen, H. Haukka, H. Hohti, H. Juntti, J. Koistinen, A. Lehkonen, L. Neitiniemi-Upola, J. Nuottokari, K. Österberg, M. Peura, S. Pulkkinen, T. Riihisaari, E. Saltikoff, and A. von Lerber

64
The Australian VHF Wind Profiler Network Operation and Impacts on Global Numerical Weather Prediction
Bronwyn K. Dolman, ATRAD Pty Ltd., Thebarton, Australia; and C. Tingwell, I. M. Reid, and M. Hervo

65
Experimental Study on Boundary Conditions and weighting Factors of Radar-Based Nowcasting System : MAPLE
Jong-Hoon Jeong, Pacific Northwest National Laboratory, RIchland, WA, China; and S. H. Jung, M. K. Suk, and S. K. Lee

66
Sensitivity Tests of Assimilating Thermodynamic Variables with Radar Observations in the Ensemble Kalman Filter System
Ching-Yin Ke, National Central Univ., Jhongli City, Taiwan; and K. S. Chung

67
Evaluation of the Microphysics of Precipitation with Multifrequency Radar Observations (EMPORiuM)
Frederic Tridon, Univ. of Leicester, Leicester, U.K.; and C. Planche, S. Banson, K. Mróz, A. Battaglia, W. Wobrock, M. Monier, and J. Van Baelen

68
Estimating Convective Storm Turbulence with Radar to Evaluate the Paramerisation of Turbulence in NWP Models
Matthew Marcus Feist, Univ. of Reading, Reading, U.K.; and C. D. Westbrook, P. Clark, T. Stein, H. W. Lean, and A. Stirling

69
Cloud Radar Constrained Estimates of Bulk Entrainment Rate for Evaluation of Large-Eddy Simulations
Michael Jensen, Brookhaven National Laboratory, Upton, NY; and T. Toto, S. Endo, and A. M. Vogelmann

70
Steps Towards Ingesting Radar Estimated Refractivity Into Numerical Weather Prediction Models
Ya-Chien Feng, McGill Univ., Montreal, QC, Canada; and F. Fabry

Handout (2.5 MB)

71
Multiple Radar Data Assimilation and Short-Range Precipitation Forecast of a Cold Front
Rute Ferreira, INPE, Cachoeira Paulista, Brazil; and T. Biscaro, M. P. Alves Jr, L. E. R. Zea, D. L. Herdies, and E. P. Vendrasco

72
Diurnal Cycle of Precipitation and Winds Over the Huancayo Observatory (Central Peruvian Andes), Using a Ka Band Cloud-profiling Radar (MIRA 35C) and Boundary Layer Tropospheric Radar (BLTR)
Yamina Silva, Instituto Geofisico del Peru, Lima, Peru; and S. P. Chavez, E. Villalobos, and D. E. Scipion

Handout (2.3 MB)

73
Use of Radar Data in the NSSL Experimental Warn-on-Forecast System for Ensembles

74
Comparison of Simulated Polarimetric Signatures in a Squall Line Case over South China Using Two-Moment Bulk Microphysics Schemes in WRF
Gang Chen, Nanjing Univ., Nanjing, China, China; and K. Zhao and G. Zhang

75
Radar Rainfall Nowcasting Models Using Moving Motion Vectors
Soorok Ryu, Center for Atmospheric Remote sensing, Deagu, Korea, Republic of (South); and G. Lee and G. Lyu

76
An Object-based Assessment of the Impacts of Radar Data Assimilation in the Community Leveraged Unified Ensemble
Patrick S. Skinner, CIMMS/Univ. of Oklahoma, Norman, OK; and T. L. Jensen, R. Bullock, J. H. Gotway, A. Clark, and M. Xue

77
Improvements of Fog Now-Casting by Cloud Radar Measurements on the Munich Airport
Matthias Richard Bauer-Pfundstein, METEK, Meteorologische Messtechnik GmbH, Elmshorn, Germany; and B. R. Beckmann and R. Eigenmann

Handout (2.9 MB)

78
Using Radar Data Assimilation to Improve Short-range Precipitation Forecasts
Eder P. Vendrasco, Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, Brazil; and L. F. Sapucci, L. A. T. Machado, R. V. Andreoli, T. S. Biscaro, and I. C. Costa

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