Poster contributions
Session 1 A: From classical to integrated remote sensing. New observation strategies for clouds and precipitation (multi-frequency, spectral polarimetry, multi-sensor)
- Estimating precipitation charcteristics using disdrometer and RADAR observations
Antonoglou, Nikolaos (Deutscher Wetterdienst), Abstract ID 74 - Country-wide analysis of CML rainfall estimation in Zambia: Strengths, weaknesses and the way forward
Chwala, Christian (KIT (IMK-IFU)), Abstract ID 104 - Multi-frequency radar observations of mountainous precipitation during the CHOPIN campaign
Clerx, Nicole (Environmental Remote Sensing Laboratory, EPFL), Abstract ID 110 - Ice particle characterisation with the VISSS: insights from field campaigns and statistical analysis
Ettrichrätz, Veronika (Leipzig Institute for Meteorology (LIM), Leipzig University), Abstract ID 109 - Retrieval of the maximum diameter from 2DVD observations and their synergy with remote sensing measurements
Gaudek, Tom (TROPOS), Abstract ID 50 - GPM-API: A Python Interface to Access the Global Precipitation Measurement Mission Satellites Data Archive
Ghiggi, Gionata (EPFL), Abstract ID 56 - IcePolCKa - A Review
Köcher, Gregor (Meteorologisches Institut, Ludwig-Maximilians-Universität München), Abstract ID 126 - Flux Observations for Process-Informed Quantitative Precipitation Estimates
Matland-Dixon, Aimee (The University of Oklahoma), Abstract ID 142 - Evaluation of Traditional and Innovative Methods for Reflectivity Calibration in Meteorological Radar
Myagkov, Alexander (Radiometer Physics GmbH), Abstract ID 97 - Enhanced composition of X- and C-band radar data
Oude Nijhuis, Albert (SkyEcho B.V.), Abstract ID 92 - Do crowdsourced data improve rainfall observations at the catchment scale? A Europe-wide assessment
Rombeek, Nathalie (Delft University of Technology), Abstract ID 120 - The Vertical Distribution of Particle Shape (VDPS) Method: Introduction, Application and Evaluation
Teisseire, Audrey (TROPOS), Abstract ID 144
Session 1 B: From classical to integrated remote sensing. New retrieval and estimation techniques (e.g. fusion, Bayesian)
- Addressing QPE Limitations with Solid State Transmitter X-Band Radar
Chaves González, Nicolás Andrés (Politecnico di Milano), Abstract ID 77 - Maximum-Likelihood and Hamiltonian Monte Carlo Techniques to Doppler Moment Estimation for Precipitation using Weather Radar Echoes
Dash, Tworit (Delft University of Technology), Abstract ID 116 - The GPM-GEO Archive: A Multimodal Remote Sensing Dataset for Cloud and Precipitation Research
Ghiggi, Gionata (EPFL), Abstract ID 57 - Data-driven classification of polarised weather radar observations
Lukach, Maryna (Royal Meteorological Institute of Belgium (RMI), National Centre for Atmospheric Science (NCAS), University of Leeds), Abstract ID 40 - Non-parametric Estimation of Drop-Size Distribution Profiles Using Cloud Radar Spectral Polarimetry
Nomokonova, Tatiana (RPG Radiometer Physics GmbH), Abstract ID 100
Session 2 A: Modeling and parameterization. New observations for modeling and parameterization development
- Quantifying the Underestimation of Rainfall by Rain Gauge Networks: Significance, Implications and Recommendations
Dunn, Ruth (Newcastle University), Abstract ID 41 - Lack of INP and precipitation in supercooled stratus clouds over the Swiss Plateau might be explained by upwind INP activation and removal
Ohneiser, Kevin (TROPOS), Abstract ID 25 - Development and Assessment of Instruments for Rainfall Microphysics Observations
Testik, Firat (University of Texas at San Antonio), Abstract ID 17
Session 2 B: Modeling and parameterization. Model parameter estimation
- Towards Evaluating Microphysical Pathways Of Midlatitude Snow Formation in the ICON Model
Meusel, Julian (Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research), Abstract ID 42
Session 3 A: Modeling and nowcasting. Modeling elements in nowcasting
- Nowcasting model of thunderstorms intensity and probability TSP
Baran, Przemysław (Institute of Meteorology and Water Management (IMGW-PIB)), Abstract ID 124 - Advanced Heavy Rain Forecasting: Artificial Intelligence-Driven Insights from High-Density Optical Rain Sensor Networks
Shrestha, Nibesh (NIVUS GmbH), Abstract ID 78 - Localized Radar-Based Nowcasting of Convective Rainfall
Villarreal-Jaime, Daniel Eduardo (KU Leuven), Abstract ID 117
Session 4 A: Data assimilation. Data assimilation integrating nowcasting and new observations
- Optimal exploitation of polarimetry for precipitation-induced flood forecast
Pokale, Sagar Sitaram (Institute of Geosciences, Meteorology Section, University of Bonn), Abstract ID 135 - Using a 3D Wind retrieval algorithm to improve the understanding of dynamics of hail cells in Germany
Scharbach, Tobias (Institute of Geosciences, Meteorology Section, University of Bonn), Abstract ID 98
Session 4 B: Data assimilation. Blending and probabilistic techniques based on nowcasting and NWP ensembles
- Scale-Dependent Evaluation of Seamless Short-Term Forecasts of Convective Precipitation
Rempel, Martin (Independent Radar Scientist, formerly Deutscher Wetterdienst), Abstract ID 85 - Verification and further development of KONRAD3D-SINFONY
Strotjohann, Nora Linn (Deutscher Wetterdienst), Abstract ID 87
Session 5 A: Floods and extremes. Extreme precipitation events
- Real-time assessment of rainfall extremity using observations and seamless short-term forecasts in small river catchments in Germany
Bondy, Jan (Deutscher Wetterdienst), Abstract ID 95 - Automatic Early warning for severe thunderstorms in Piemonte, Italy
Cremonini, Roberto (Arpa Piemonte), Abstract ID 136 - Precipitation and hydrological events in Northwest Bulgaria since 2001
Popov, Hristo (Sofia University), Abstract ID 102 - Tailoring Weather Warnings in the DWD Warning Portal to Meet the Requirements of Flood Forecasting Centers
Rüth, Maja (Deutscher Wetterdienst), Abstract ID 96
Session 5 B: Floods and extremes. Evaluation, verification and interfaces
- Predictability plots as a means to assess meteorological input for hydrological models
Blumenstein-Weingartz, Ina (Deutscher Wetterdienst), Abstract ID 139 - Rain, Snow or Freezing Rain? – Radar-based Surface Precipitation Type Analysis and Verification at DWD
Schultze, Markus (Deutscher Wetterdienst), Abstract ID 101 - QPE, QPF and EPS in flood forecasting
Heppelmann, Tobias (State Environmental Agency Rhineland-Palatinate), Abstract ID 94 - Predicting inflows to the Soyang River Dam using Weather climate data and Machine learning
Kim, Byung Sik (Department of Artificial Intelligence & Software/Graduate School of Disaster Prevention, Kangwon National University), Abstract ID 70 - Initial Results of Implementing SINFONY Forecast Products in Flood Prediction Using the LARSIM Model at the Flood Forecast Centre of Baden-Württemberg
Kiseleva, Olga (Deutscher Wetterdienst), Abstract ID 39 - Predicting hydrological drought in Gangwon the Far East using weather climate data and AI models
Park, Ji Hun (AI for Climate & Disaster Management Center, Kangwon National University), Abstract ID 69 - Improving Flood Forecasting by Assimilating Remotely Sensed Soil Moisture Data into the ParFlow-CLM Model
Soltani, Samira Sadat (Institute of Bio- and Geosciences; Agrosphere (IBG 3), Forschungszentrum Jülich GmbH), Abstract ID 20