| Time | No. | Presentation title | Author Name | Author Affiliation |
|---|---|---|---|---|
| 08:00 – 9:00 | Registration & welcome coffee | |||
| Session 1 – Opening Session (Chair: Christian Kummerow, Giulia Panegrossi) | ||||
| 09:00 – 09:10 | 1.1 | Introduction to IPWG from the CGMS Perspective | Takuji Kubota | JAXA/EORC |
| 09:10 – 09:20 | 1.2 | Welcome Address | Bogdan Rosa | IMGW-PIB, Poland |
| 09:20 – 09:30 | 1.3 | Welcome by Local Leadership | Zbigniew Ustrnul | UJ, Poland |
| 09:30 – 09:40 | 1.4 | Logistics Information | Bożena Łapeta | IMGW-PIB, Poland |
| 09:40 – 10:00 | 1.5 | IPWG Structure and Goals | Christian Kummerow and Giulia Panegrossi | Colorado State University and CNR ISAC |
| Session 2 – Agency Updates Session (Chair: George Huffman, Vinia Mattioli) | ||||
| 10:00 – 10:15 | 2.1 | The Observing System Capability Analysis and Review Tool (OSCAR) and the WMO Gap Analysis of the Space-Based Observations | Heikki Pohjola | WMO |
| 10:15 – 10:30 | 2.2 | Overview of Passive Microwave Missions at EUMETSAT for Precipitation Monitoring | Vasileios Barlakas | EUMETSAT |
| 10:30 – 10:45 | 2.3 | Global Precipitation Measurement (GPM) mission in Japan and future Japanese Precipitation Measuring Mission (PMM) | Takuji Kubota | JAXA/EORC |
| 10:45 – 11:00 | 2.4 | Status of the Advanced Microwave Scanning Radiometer 3 (AMSR3) and its validation results | Misako Kachi (online) | JAXA |
| 11:00 – 11:15 | 2.5 | Advances in Fengyun Satellite Precipitation Observations (2024-2026) | Lin Chen (online) | National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration |
| 11:15 – 11:30 | 2.6 | Exploration on the observation ability and application potential of China’s first spaceborne precipitation measurement radar | Jian Shang (online) | National Satellite Meteorological Center, China Meteorological Administration |
| 11:30 – 11:45 | 2.7 | Assimilating and forecasting precipitation at global scales | Alan Geer | ECMWF |
| 11:45 – 12:00 | 2.8 | The Baseline Surface Precipitation Network: Benchmarking Satellite Precipitation Products Across Meteorological Regimes | Pierre Kirstetter | University of Oklahoma / NOAA National Severe Storms Laboratory |
| 12:00 – 12:05 | 2.9 | Satellite Precipitation Products at NOAA: Operational Capabilities and Future Plans | Huan Meng | NOAA |
| 12:05 – 13:30 | Lunch Break | |||
| Session 3 – Merged Product Updates and Product Assessments (Chair: Lin Chen, Daniel Watters) | ||||
| 13:30 – 13:45 | 3.1 | Upgrades and Early Results for IMERG V08 | George Huffman | NASA Goddard Space Flight Center |
| 13:45 – 14:00 | 3.2 | Recent updates of the Global Satellite Mapping of Precipitation (GSMaP) | Takuji Kubota | JAXA/EORC |
| 14:00 – 14:15 | 3.3 | Precipitation in CM SAF: recent GIRAFE operationalization, pre-operational anomaly service and future developments | Hannes Konrad | Deutscher Wetterdienst |
| 14:15 – 14:30 | 3.4 | The Newly Released Daily and Monthly GPCP V3.3 and efforts towards GPCP V4 | Ali Behrangi | University of Arizona |
| 14:30 – 14:45 | 3.5 | CASE STUDY-BASED VALIDATION AND PERFORMANCE ANALYSIS OF HSAF PRECIPITATION PRODUCTS OVER TÜRKIYE | Ahmet Öztopal (online) | Istanbul Technical University |
| 14:45 – 15:00 | 3.6 | Assessment of the reliability of satellite precipitation products for real-time monitoring of extreme precipitation | Magdalena Szaton | IMGW-PIB, Poland |
| 15:00 – 15:15 | 3.7 | Evaluation of Satellite and Reanalysis Precipitation Extremes over West Africa under Climate Change Using Ground-Based Observations | Oluwatosin Obasi-oma | Lagos State University |
| 15:15 – 15:30 | 3.8 | Can Satellite Products be Used to Study Extreme Precipitation Trends across West Africa? | Malihe Nasibi (online) | George Mason University |
| 15:30 – 16:00 | Coffee Break | |||
| Session 4 – Product Assessments (Chair: Shinta Seto, Viviana Maggioni) | ||||
| 16:00 – 16:15 | 4.1 | Evaluation of Potential TRMM/GPM Orbit Boost Effects within Core Observatory Precipitation Products and Resulting Calibration Challenges for IMERG V08 | Robert Joyce (online) | NASA/GSFC STC |
| 16:15 – 16:30 | 4.2 | Hydrometeorological monitoring of transboundary basins through multi-source precipitation datasets: assessments and extreme events characterization | Romulo Augusto Juca Oliveira | Hydro Matters |
| 16:30 – 16:45 | 4.3 | Validation of GSMaP Using a One-Minute Precipitation Rate Product Combining Ground-based Radar and Rain Gauge Data over Japan | Shinta Seto | Nagasaki University |
| 16:45 – 17:00 | 4.4 | Examining the Potential of Satellite Precipitation Product for Monitoring Extreme Urban Precipitation Events across Contiguous United States | Diya Das (online) | Texas Tech University |
| 17:00 – 17:15 | 4.5 | Diagnosing the Role of Retrieved Cloud Properties in IR-Only Rain Detection and Quantitative Precipitation Estimation from Himawari | Meng Yue Lin (online) | Research Center for Environmental Changes, Academia Sinica |
| 18:00 – 20:00 | Ice Breaker | |||
| Time | No. | Presentation title | Author Name | Author Affiliation |
|---|---|---|---|---|
| Session 5 – Validation (Chair: Pierre Kirstetter, Bożena Łapeta) | ||||
| 08:30 – 08:45 | 5.1 | A CONUS Extreme Precipitation Event Database Derived from MRMS | Daniel Watters | Advanced Radar Research Center, The University of Oklahoma |
| 08:45 – 09:00 | 5.2 | High-resolution precipitation data validation for climate-resilient water management | Thomas Einfalt | Hydro & Meteo GmbH |
| 09:00 – 09:15 | 5.3 | The Global Precipitation Climatology Centre (GPCC) has published new gridded precipitation analyses that provide long-term averages, monthly totals, and daily totals. | Elke Rustemeier | Deutscher Wetterdienst |
| 09:15 – 09:30 | 5.4 | Impacts of Period of Record on the Uncertainty of Estimates of Precipitation Extremes | Janice Bytheway | CIRES, University of Colorado Boulder & NOAA Physical Sciences Laboratory |
| 09:30 – 09:45 | 5.5 | Advances in Quantitative Precipitation Estimation Techniques for Operational Weather Radars in China | Lei Wu | Meteorological Observation Centre of China Meteorological Administration |
| 09:45 – 10:00 | 5.6 | Ecoacoustics: a new source of information on rainfall to complement satellite in data scarce regions | Rodrigo de Souza Xavier | Universidade Federal do Ceará / Université de Toulouse |
| 10:00 – 10:30 | Break | |||
| 10:30 – 10:45 | 5.7 | A Novel Fuzzy Ensemble Clustering Approach Using Latent Gaussian State Space Models for Demarcating Homoganeous Precipitation Zones | Debdut Sengupta (online) | Indian Institute of Technology, Madras |
| 10:45 – 11:00 | 5.8 | Hydrometeor Type Validation between EarthCARE Cloud Profiling Radar (CPR) and GPM DPR Observations | Minda Le (online) | |
| 11:00 – 11:15 | 5.9 | Enhancing Ground Clutter Suppression for Dual-polarization Weather Radars in China to Improve Data Quality | Yubao Chen (Canceled) | Meteorological Observation Centre, China Meteorological Administration |
| Session 6 – Poster Speed-Talks – Remote and In-Situ (Chair: Viju John, Janice Bytheway) | ||||
| 11:15 – 12:00 | 1. min talk by each presenter | |||
| 6.1 | Investigating rain rate estimates from non-conventional satellites to supplement H SAF products at global scale | Francesco Di Paola | National Research Council (CNR) of Italy | |
| 6.2 | Calibration of blended instantaneous and accumulated precipitation products | Francesco Di Paola | National Research Council (CNR) of Italy | |
| 6.3 | Impact of the Tomorrow.io Microwave Sounder Constellation on Global Precipitation Retrievals | Joseph Munchak (on behalf of Forest Cannon) | The Tomorrow Companies, Inc. | |
| 6.4 | Radar-Guided Machine Learning Super-Resolution for Improved GSMaP Precipitation Estimates | Hitoshi Hirose | The University of Osaka | |
| 6.5 | Dynamic FLC Detection from GOES Satellite Data for the Galapagos Archipelago | Ivo Jung | Philipps-University Marburg | |
| 6.6 | Enhancing Global Precipitation Retrieval with FY-3 MWHS/MWTS Radiometers Using Machine Learning and Spaceborne Radar-based References | Paolo Sanò | CNR ISAC | |
| 6.7 | Improving Infrared Rainfall Retrieval Using Machine Learning–Probabilistic Cloud Classification | Dong-Cheol Kim | Yonsei University | |
| 6.8 | A Spatio-Temporal Deep Learning Approach for Radar-Based Quantitative Precipitation Estimation | Matteo Passeri | University of Florence – Department of Information Engineering | |
| 6.9 | Validation of GSMaP Passive Microwave Precipitation Retrievals and improvement by Revised Method of Microwave Rainfall Normalization | Takuji Kubota (on behalf of Nao Yoshida) | JAXA | |
| 6.10 | The GRR Product: A Regionally Adjusted Rainfall Retrieval for the Galápagos Archipelago | Nazli Turini | Philipps University Marburg | |
| 6.11 | A Machine Learning Method to Retrieve Global Rainfall and Snowfall Rates From the Passive Microwave Observations of FY‐3E | Runze Zhao (online) | China Meteorological Administration, National Satellite Meteorological Center (National Center for Space Weather) | |
| 6.12 | PMW-PrecipNet: A U-Net–Based Deep Learning Framework for Passive Microwave Precipitation Retrieval | Jisu Choi | Yonsei University | |
| 6.13 | A Scalable Framework for Climate-Aware Satellite Precipitation Bias Correction | Yashraj Upase | Climate Change Department, Indian Institute of Technology, Hyderabad | |
| 6.14 | Novel Validation of the Tomorrow.io Pathfinder Radars over the Contiguous U.S. | Daniel Watters | Advanced Radar Research Center, The University of Oklahoma | |
| 6.15 | A High-Resolution Global Convective Precipitation Probability Product from Geostationary Infrared Observations | Daniel Watters | Advanced Radar Research Center, The University of Oklahoma | |
| 6.16 | Assessing Uncertainties of Mass Dimensional Relations Derived from Imaging Probes Using Machine Learning | Kwo-Sen Kuo | University of Maryland-College Park | |
| 12:00 – 13:30 | Lunch Break | |||
| Session 7 – AI (Chair: Alan Geer, J. Munchak) | ||||
| 13:30 – 13:45 | 7.1 | Satellite–Radar Fusion for Operational Precipitation Analysis Using Deep Learning | Simon Pfreundschuh (on behalf of Adam Dybbroe) | Colorado State University |
| 13:45 – 14:00 | 7.2 | High-Dynamical-Fidelity Precipitation (HiDF-P) satellite estimates informed by atmospheric and land surface variables within a video diffusion framework | Efi Foufoula-Georgiou | University of California Irvine |
| 14:00 – 14:15 | 7.3 | AI-Enhanced Satellite Precipitation Retrieval in MiRS: From Research to Operations | Shuyan Liu | CISESS ESSIC UMD |
| 14:15 – 14:30 | 7.4 | Fully Connected Neural Networks for Radiative Transfer Emulation and Microwave Radiometer Quality Control | Spencer Jones | Colorado State University |
| 14:30 – 14:45 | 7.5 | The First Step Toward the Development of a Machine Learning–Based Correction for HSAF Precipitation Products over Poland | Tobiasz Górecki | IMGW-PIB, Poland |
| 14:45 – 15:00 | 7.6 | Decomposing Uncertainty in ML-Based Precipitation Type Retrieval | Veljko Petkovic | University of Maryland College Park |
| 15:00 – 15:15 | 7.7 | AI Improving CMORPH2 Orographic Precipitation Estimates | Yaping Li | ERT at NOAA/CPC |
| 15:15 – 15:30 | 7.8 | Transformer-Based Modeling of Global Microwave Land Surface Emissivity Using GPM | Fraser King | University of Wisconsin-Madison |
| 15:30 – 16:00 | Break | |||
| Parallel Discussion Sessions on Validation and AI | ||||
| 16:00 – 17:00 | Participants will be divided into groups of approximately 10 people. The goal is to provide brief written responses to the following questions: (1) What goals should we articulate for this Working Group as a community? (2) What can the group and what can IPWG do to make that happen? (3) What should we ask CGMS to do to help achieve these goals? | |||
| 17:00 – 18:00 | Poster Viewing | |||
| Time | No. | Presentation title | Author Name | Author Affiliation |
|---|---|---|---|---|
| Session 8 – New Products (Chair: Alan Calheiros, Lisa Milani) | ||||
| 8:45 – 09:00 | 8.1 | Advancing Precipitation Products and Quality Assessment within EUMETSAT H SAF: Current Status and Future Outlook | Silvia Puca (online) | Italian Civil Protection Department, Italy |
| 09:00 – 09:15 | 8.2 | Leveraging Passive Microwave Observations for Precipitation Nowcasting | Simon Pfreundschuh | Colorado State University |
| 09:15 – 09:30 | 8.3 | New GSMaP MWR Precipitation Detection Method for AMSR3 | Kazumasa Aonashi | Division of Earth and Planetary Sciences Graduate School of Science, Kyoto University |
| 09:30 – 09:45 | 8.4 | The Integrated Observation and Data Fusion Application of FY-3G Precipitation Satellite and China’s Weather Radar Network | Peng Zhang (Canceled) | CMA |
| 09:45 – 10:00 | 8.5 | Probabilistic Quantitative Precipitation Estimation With Space-Based Radars | Pierre Kirstetter | University of Oklahoma / NOAA National Severe Storms Laboratory |
| 10:00 – 10:15 | 8.6 | Extreme Precipitation Scaling with Temperature: A Storm-Type Perspective | Rajani Kumar Pradhan | Department of Geosciences, University of Padova, Padova, Italy |
| 10:15 – 10:30 | 8.7 | New Retrieval Methods for Precipitation Latent Heat Profiles and Its Application to Precipitation Research over the Qinghai Xizang Plateau | Rui Li | University of Science and Technology of China |
| 10:30 – 10:45 | 8.8 | Deep Learning Radar Nowcasting over the Upper Tyrrhenian Sea | Andrea Antonini (online) | LaMMA Consortium |
| 10:45 – 11:00 | 8.9 | Creating a Global High-Resolution Convective or Stratiform Type Product | Veljko Petković (on behalf of Jackson Tan) | NASA |
| 11:00 – 11:15 | Break | |||
| Session 9 – Poster Speed-Talks – Remote and In-Situ (Chair: Daniel Vila, Elke Rustemeier) | ||||
| 11:15 – 12:00 | 1. min talk by each presenter | |||
| 9.1 | PrecSat: An Open, Modular, and Scalable Platform for Satellite Precipitation Monitoring, Validation, Tracking, and Nowcasting | Alan Calheiros | Brazilian National Institute for Space Research | |
| 9.2 | Assessing the Contribution of the Arctic Weather Satellite 325.15 GHz Channels to Improve Observation of Precipitation Events | Andrea Camplani | CNR-ISAC | |
| 9.3 | Precipitation Observation Site in Central Texas for Ground-Validation of Satellite QPE | Firat Testik | University of Texas at San Antonio | |
| 9.4 | An Open Framework for Global Tracking and Analysis of Satellite-Derived Precipitating Systems | Daniel Vila | WMO | |
| 9.5 | The Preliminary Result of External Calibration for the Precipitation Measurement Radar onboard FengYun-3G Satellite | Honggang Yin (online) | National Satellite Meteorological Center, CMA | |
| 9.6 | Evaluation of Multiple Satellite Microwave Precipitation Products over Northern China during Cold Seasons | Xiaoqing Li (online) | National Satellite Meteorological Center | |
| 9.7 | NOAA Satellite Precipitation Validation System – A Standardized System to Assess Satellite Precipitation Products | Malarvizhi Arulraj | Cooperative Institute for Satellite Earth System Studies University of Maryland, USA | |
| 9.8 | COMPEX – Airborne remote sensing of Arctic clouds and precipitation in complex environments | Mario Mech | Institute of Geophysics and Meteorology, University of Cologne | |
| 9.9 | Comparative evaluation of H SAF, ERA5 Land, and IMERG precipitation products for dry spell climatology in Poland | Natalia Strojna | IMGW-PIB, Poland | |
| 9.10 | A near-real-time precipitation product intercomparison and validation system for operational and research applications | Marco Petracca | CNR-ISAC | |
| 9.11 | Evaluation of instantaneous rain rates estimates of FY-3G PMR Products with rain gauge dataset in four rain regions over China | Qiong Wu (online) | National Satellite Meteorological Center | |
| 9.12 | Enhancing Global Precipitation Observation: The Contribution of FY-3 Satellites in Filling Critical GPM PMW Observation Gaps | Runze Zhao | China Meteorological Administration, National Satellite Meteorological Center (National Center for Space Weather) | |
| 9.13 | A review of the past half-century Geostationary Satellite Thermal Observations for Global Precipitation Estimation: Developments, Achievements, and Future Prospects | George Huffman (on behalf of Yang Hong) | NASA Goddard Space Flight Center | |
| 9.14 | Bridging the GPM+CloudSat and GPM+EarthCARE coincidence datasets for expanded observations of drizzle and snow | F. Joseph Turk | University of California-Los Angeles, USA | |
| 9.15 | Integration of optimal habit selection with DDA and SSRGA models for improved microwave radiative transfer simulations | Donghyeck Kim | Yonsei University | |
| 12:00 – 13:30 | Lunch Break | |||
| Session 10 – SmallSats/CubeSats and New Precipitation Paradigms (Chair: Takuji Kubota, Joe Turk) | ||||
| 13:30 – 13:45 | 10.1 | A new Earth system science resource: A globally gridded GEO-Ring radiance product and its application | Viju John | EUMETSAT |
| 13:45 – 14:00 | 10.2 | The Earth Explorer 11 WIVERN mission: Advancing Atmospheric Science Through In-Cloud Observations of Global Winds | Alessandro Battaglia | Politecnico di Torino |
| 14:00 – 14:15 | 10.3 | User and System Needs for the Future of Global Precipitation Datasets | George Huffman | NASA Goddard Space Flight Center |
| 14:15 – 14:30 | 10.4 | Enhancing CMORPH2 Through Infusing Retrievals from Direct Broadcast and Small Satellites | Pingping Xie | NOAA |
| 14:30 – 14:45 | 10.5 | GEMS2-Amethyst: Current Status, Data Products, and Future Directions at Weather Stream | Ryan Gonzalez | Weather Stream |
| 14:45 – 15:00 | 10.6 | The Tomorrow.io Microwave Sounder Constellation: Status and Data Products | Joseph Munchak | The Tomorrow Companies, Inc. |
| 15:00 – 15:15 | 10.7 | Optimizing Channel Selection for Passive Microwave Precipitation Measurement: A GPM Study | Sarah Ringerud | NASA GSFC |
| 15:15 – 15:30 | 10.8 | Quantitative precipitation measurements from satellites: where now? | Chris Kidd (online) | University of Birmingham, UK |
| 15:30 – 15:45 | 10.9 | Introducing GSICS: Inter-Calibration of Microwave Radiometers for Precipitation | Tim Hewison (online) | EUMETSAT |
| 15:45 – 16:15 | Break | |||
| Parallel Discussion Sessions on New Products and New Paradigms | ||||
| 16:15 – 17:15 | Participants will be divided into groups of approximately 10 people. The goal is to provide brief written responses to the following questions: (1) Should IPWG expand the product list from surface precipitation to additional parameters? (2) What does the future of precipitation products look like? (3) What can the group and what can IPWG do to make that happen? (4) What should we ask CGMS to do to help achieve these goals? | |||
| 17:15 – 18:15 | Poster Viewing | |||
| 20:00 | Group Dinner | |||
| Time | No. | Presentation title | Author Name | Author Affiliation |
|---|---|---|---|---|
| Science Focus Group Presentations | ||||
| 09:00 – 09:45 | 4 talks by the four Focus Group chairs introducing their goals and activities to the broader community | |||
| Session 11 – Snow (Chair: Alessandro Battaglia, Mario Mech) | ||||
| 09:45 – 10:00 | 11.1 | Microphysical Controls of High-Frequency Microwave Scattering: Implications for Radiance Simulations and O–B Biases | Dong-Bin Shin | Yonsei Univsersity |
| 10:00 – 10:15 | 11.2 | Updates on the NOAA Operational Snowfall Rate Product | Huan Meng | NOAA |
| 10:15 – 10:30 | 11.3 | OpenSSP Portal Grand Reopening: A Milestone Towards NASA PaSS DB | Kwo-Sen Kuo | University of Maryland-College Park |
| 10:30 – 10:45 | 11.4 | Workflow Development for Snowfall Retrieval Quality Assessment | Lisa Milani | University of Maryland / NASA Goddard Space Flight Center |
| 10:45 – 11:00 | Break | |||
| Session 12 – Land Surface (Chair: Sarah Ringerud, Veljko Petkovic) | ||||
| 11:00 – 11:15 | 12.1 | SENSITIVITY ANALYSIS OF LAND ATMOSPHERE INTERACTION USING DIFFERENT PARAMETERIZATION SCHEMES OF THE WRF MODEL TO SIMULATE HEAVY RAINFALL EVENTS OVER THE MAHI RIVER BASIN, INDIA | ADITYA SHARMA | Indian Institute of Technology Delhi |
| 11:15 – 11:30 | 12.2 | Applications of All-Weather Dynamic Emissivity Estimation Algorithm for Snowfall Retrievals from GPM/GMI | Mykhailo Lohachov | Institute Science Tokyo |
| 11:30 – 11:45 | 12.3 | Mapping Land-Use Conversion Pathways in Regions of Significant Rainfall Intensity and Frequency Trends: A Multi-Biome Assessment in Brazil | Jaqueline Vígolo Coutinho (online) | George Mason University |
| 11:45 – 13:15 | Lunch Break | |||
| Session 13 – Data Assimilation and Orographic Rainfall (Chair: Ali Berangi, Simon Pfreundschuh) | ||||
| 13:15 – 13:30 | 13.1 | Assimilating precipitation-sensitive observations in global weather forecasting | Alan Geer | ECMWF |
| 13:30 – 13:45 | 13.2 | Evaluation of EarthCARE/CPR simulation and preparation for data assimilation in the global NWP system of JMA | Kozo Okamoto | Japan Meteorological Agency, Japan |
| 13:45 – 14:00 | 13.3 | Evaluation of AMSR3 precipitation-sensitive observations and preparation for the assimilation of EPS-SG MWI and WSFM MWI at ECMWF | Elisa Chardon-Legrand | ECMWF |
| 14:00 – 14:15 | 13.4 | Learning spatiotemporal evolution of storms for improving forecasting over complex terrain | Claudia Acquistapace | Department of Geosciences, University of Padova |
| Parallel Focus Group Sessions (Chair: Christian Kummerow; Giulia Panegrossi, Sarah Ringerud) | ||||
| 14:15 – 15:15 | 4 parallel sessions for each Focus Group to meet separately | |||
| Closing Session (Chair: Christian Kummerow; Giulia Panegrossi, Sarah Ringerud) | ||||
| 15:15 | 10-minute reports from the Focus Groups | |||
| 15:55 | 30-minute summary of Wednesday and Thursday discussions | |||
| 16:25 | IPWG business and meeting close-out | |||
Wednesday, 8 July 2026
| 08:30 – 08:35 | Welcome and Introduction to the Course |
| 8:35-9:00 | Introduction to precipitation-related satellite missions – Chris Kidd (remote) |
| 9:00-9:35 | Retrieval Methods: Passive Microwave – Chris Kummerow |
| 9:35-10:10 | Retrieval Methods: Active Microwave – Shinta Seto |
| 10:10-10:45 | Merged Satellite Products. Focus on basics – George Huffman |
| 10:45-11:05 | Break |
| 11:05–11:40 | IMERG/GSMAP/HSAF – Huffman/Kubota/Panegrossi (Coordinated with Merged Talk to highlight specifics) |
| 11:40-12:00 | Orographic Precipitation – Shoichi Shige (remote) |
Thursday, 9 July 2026
| 08:30 – 08:50 | Snowfall/Particle Scattering – Huan Meng |
| 08:50 – 09:10 | Land Surface – Sarah Ringerud |
| 09:10 – 09:30 | CubeSat/SmallSat – Joe Munchak |
| 09:30 – 09:50 | Data Assimilation – Alan Geer |
| 09:50 – 10:10 | Machine Learning – Simon Pfreundschuh |
| 10:10 – 10:30 | Validation/Baseline Surface Precipitation Network – Daniel Watters |
| 10:30 – 10:50 | Break |
| 10:50 – 11:10 | GPM data access – Erich Franz Stocker |
| 11:10 – 11:30 | GSMaP websites – Takuji Kubota |
| 11:30 – 11:50 | H-SAF data access – Bozena Lapeta |
| 11:50 – 12:00 | Questions and wrap-up |
Last update: 16-07-2026 11:15 UTC