Program

Draft version. Minor changes may be made in the coming days.

Tuesday, 07/07/2026

TimeNo.Presentation titleAuthor NameAuthor Affiliation
08:00 – 9:00Registration & welcome coffee
Session 1 – Opening Session (Chair: Christian Kummerow, Giulia Panegrossi)
09:00 – 09:101.1 Introduction to IPWG from the CGMS Perspective Takuji KubotaJAXA/EORC 
09:10 – 09:201.2 Welcome Address
09:20 – 09:301.3 Welcome by Local Leadership
09:30 – 09:401.4 Logistics Information Bożena Łapeta IMGW-PIB, Poland 
09:40 – 10:001.5 IPWG Structure and GoalsChristian Kummerow and Giulia PanegrossiColorado State University and CNR ISAC
Session 2 – Agency Updates Session (Chair: George Huffman, Vinia Mattioli)
10:00 – 10:152.1The Observing System Capability Analysis and Review Tool (OSCAR) and the WMO Gap Analysis of the Space-Based ObservationsHeikki PohjolaWMO
10:15 – 10:302.2Overview of Passive Microwave Missions at EUMETSAT for Precipitation MonitoringVasileios BarlakasEUMETSAT
10:30 – 10:452.3Global Precipitation Measurement (GPM) mission in Japan and future Japanese Precipitation Measuring Mission (PMM)Takuji KubotaJAXA/EORC
10:45 – 11:002.4Status of the Advanced Microwave Scanning Radiometer 3 (AMSR3) and its validation resultsMisako Kachi (online)JAXA
11:00 – 11:152.5Advances in Fengyun Satellite Precipitation Observations (2024-2026)Lin ChenNational Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration
11:15 – 11:302.6Exploration on the observation ability and application potential of China’s first spaceborne precipitation measurement radarJian ShangNational Satellite Meteorological Center, China Meteorological Administration
11:30 – 11:452.7Assimilating and forecasting precipitation at global scalesAlan GeerECMWF
11:45 – 12:002.8The Baseline Surface Precipitation Network: Benchmarking Satellite Precipitation Products Across Meteorological RegimesPierre KirstetterUniversity of Oklahoma / NOAA National Severe Storms Laboratory
12:00 – 12:052.9Satellite Precipitation Products at NOAA: Operational Capabilities and Future PlansHuan MengNOAA
12:05 – 13:30Lunch Break
Session 3 – Merged Product Updates and Product Assessments (Chair: Lin Chen,  Daniel Watters)
13:30 – 13:453.1Upgrades and Early Results for IMERG V08George HuffmanNASA Goddard Space Flight Center
13:45 – 14:003.2Recent updates of the Global Satellite Mapping of Precipitation (GSMaP)Takuji KubotaJAXA/EORC
14:00 – 14:153.3Precipitation in CM SAF: recent GIRAFE operationalization, pre-operational anomaly service and future developmentsHannes KonradDeutscher Wetterdienst
14:15 – 14:303.4The Newly Released Daily and Monthly GPCP V3.3 and efforts towards GPCP V4Ali BehrangiUniversity of Arizona
14:30 – 14:453.5CASE STUDY-BASED VALIDATION AND PERFORMANCE ANALYSIS OF HSAF PRECIPITATION PRODUCTS OVER TÜRKIYEAhmet ÖztopalIstanbul Technical University
14:45 – 15:003.6Assessment of the reliability of satellite precipitation products for real-time monitoring of extreme precipitationMagdalena SzatonIMGW-PIB, Poland
15:00 – 15:153.7Evaluation of Satellite and Reanalysis Precipitation Extremes over West Africa under Climate Change Using Ground-Based ObservationsOluwatosin Obasi-omaLagos State University
15:15 – 15:303.8Can Satellite Products be Used to Study Extreme Precipitation Trends across West Africa?Malihe Nasibi (online)George Mason University
15:30 – 16:00Coffee Break
Session 4 – Product Assessments (Chair: Shinta Seto, Viviana Maggioni)
16:00 – 16:154.1Evaluation of Potential TRMM/GPM Orbit Boost Effects within Core Observatory Precipitation Products and Resulting Calibration Challenges for IMERG V08Robert JoyceNASA/GSFC STC
16:15 – 16:304.2Hydrometeorological monitoring of transboundary basins through multi-source precipitation datasets: assessments and extreme events characterizationRomulo Augusto Juca OliveiraHydro Matters
16:30 – 16:454.3Validation of GSMaP Using a One-Minute Precipitation Rate Product Combining Ground-based Radar and Rain Gauge Data over JapanShinta SetoNagasaki University
16:45 – 17:004.4Examining the Potential of Satellite Precipitation Product for Monitoring Extreme Urban Precipitation Events across Contiguous United StatesDiya Das (online)Texas Tech University
17:00 – 17:154.5Diagnosing the Role of Retrieved Cloud Properties in IR-Only Rain Detection and Quantitative Precipitation Estimation from HimawariMeng Yue Lin (online)Research Center for Environmental Changes, Academia Sinica
18:00 – 20:00Ice Breaker

Wednesday, 08/07/2026

TimeNo.Presentation titleAuthor NameAuthor Affiliation
Session 5 – Validation (Chair: Pierre Kirstetter,  Bożena Łapeta)
08:30 – 08:455.1A CONUS Extreme Precipitation Event Database Derived from MRMSDaniel WattersAdvanced Radar Research Center, The University of Oklahoma
08:45 – 09:005.2High-resolution precipitation data validation for climate-resilient water managementThomas EinfaltHydro & Meteo GmbH
09:00 – 09:155.3The Global Precipitation Climatology Centre (GPCC) has published new gridded precipitation analyses that provide long-term averages, monthly totals, and daily totals.Elke RustemeierDeutscher Wetterdienst
09:15 – 09:305.4Impacts of Period of Record on the Uncertainty of Estimates of Precipitation ExtremesJanice BythewayCIRES, University of Colorado Boulder & NOAA Physical Sciences Laboratory
09:30 – 09:455.5Advances in Quantitative Precipitation Estimation Techniques for Operational Weather Radars in ChinaLei Wu Meteorological Observation Centre of China Meteorological Administration
09:45 – 10:005.6Ecoacoustics: a new source of information on rainfall to complement satellite in data scarce regionsRodrigo de Souza XavierUniversidade Federal do Ceará / Université de Toulouse
10:00 – 10:30Break
10:30 – 10:455.7A Novel Fuzzy Ensemble Clustering Approach Using Latent Gaussian State Space Models for Demarcating Homoganeous Precipitation ZonesDebdut Sengupta (online)Indian Institute of Technology, Madras
10:45 – 11:005.8Hydrometeor Type Validation between EarthCARE Cloud Profiling Radar (CPR) and GPM DPR ObservationsMinda Le (online)
11:00 – 11:155.9Enhancing Ground Clutter Suppression for Dual-polarization Weather Radars in China to Improve Data QualityYubao ChenMeteorological Observation Centre, China Meteorological Administration
Session 6 – Poster Speed-Talks – Remote and In-Situ (Chair: Viju John, Janice Bytheway)
11:15 – 12:001. min talk by each presenter 
6.1Investigating rain rate estimates from non-conventional satellites to supplement H SAF products at global scaleFrancesco Di PaolaNational Research Council (CNR) of Italy
6.2Calibration of blended instantaneous and accumulated precipitation productsFrancesco Di PaolaNational Research Council (CNR) of Italy
6.3Impact of the Tomorrow.io Microwave Sounder Constellation on Global Precipitation RetrievalsJoseph Munchak (on behalf of Forest Cannon)The Tomorrow Companies, Inc.
6.4Radar-Guided Machine Learning Super-Resolution for Improved GSMaP Precipitation EstimatesHitoshi HiroseThe University of Osaka
6.5Dynamic FLC Detection from GOES Satellite Data for the Galapagos ArchipelagoIvo JungPhilipps-University Marburg
6.6Enhancing Global Precipitation Retrieval with FY-3 MWHS/MWTS Radiometers Using Machine Learning and Spaceborne Radar-based ReferencesPaolo SanòCNR ISAC
6.7Improving Infrared Rainfall Retrieval Using Machine Learning–Probabilistic Cloud ClassificationDong-Cheol KimYonsei University
6.8A Spatio-Temporal Deep Learning Approach for Radar-Based Quantitative Precipitation EstimationMatteo PasseriUniversity of Florence – Department of Information Engineering
6.9Validation of GSMaP Passive Microwave Precipitation Retrievals and improvement by Revised Method of Microwave Rainfall NormalizationTakuji Kubota (on behalf of Nao Yoshida)JAXA
6.10The GRR Product: A Regionally Adjusted Rainfall Retrieval for the Galápagos ArchipelagoNazli TuriniPhilipps University Marburg
6.11A Machine Learning Method to Retrieve Global Rainfall and Snowfall Rates From the Passive Microwave Observations of FY‐3ERunze ZhaoChina Meteorological Administration, National Satellite Meteorological Center (National Center for Space Weather)
6.12PMW-PrecipNet: A U-Net–Based Deep Learning Framework for Passive Microwave Precipitation RetrievalJisu ChoiYonsei University
6.13A Scalable Framework for Climate-Aware Satellite Precipitation Bias CorrectionYashraj UpaseClimate Change Department, Indian Institute of Technology, Hyderabad
6.14Novel Validation of the Tomorrow.io Pathfinder Radars over the Contiguous U.S.Daniel WattersAdvanced Radar Research Center, The University of Oklahoma
6.15A High-Resolution Global Convective Precipitation Probability Product from Geostationary Infrared ObservationsDaniel WattersAdvanced Radar Research Center, The University of Oklahoma
6.16Assessing Uncertainties of Mass Dimensional Relations Derived from Imaging Probes Using Machine LearningKwo-Sen Kuo
12:00 – 13:30Lunch Break
Session 7 – AI (Chair: Alan Geer, J. Munchak)
13:30 – 13:457.1Satellite–Radar Fusion for Operational Precipitation Analysis Using Deep LearningSimon Pfreundschuh (on behalf of Adam Dybbroe)Colorado State University
13:45 – 14:007.2High-Dynamical-Fidelity Precipitation (HiDF-P) satellite estimates informed by atmospheric and land surface variables within a video diffusion frameworkEfi Foufoula-GeorgiouUniversity of California Irvine  
14:00 – 14:157.3AI-Enhanced Satellite Precipitation Retrieval in MiRS: From Research to OperationsShuyan LiuCISESS ESSIC UMD
14:15 – 14:307.4Fully Connected Neural Networks for Radiative Transfer Emulation and Microwave Radiometer Quality ControlSpencer JonesColorado State University
14:30 – 14:457.5The First Step Toward the Development of a Machine Learning–Based Correction for HSAF Precipitation Products over PolandTobiasz Górecki IMGW-PIB, Poland
14:45 – 15:007.6Decomposing Uncertainty in ML-Based Precipitation Type RetrievalVeljko PetkovicUniversity of Maryland College Park
15:00 – 15:157.7AI Improving CMORPH2 Orographic Precipitation EstimatesYaping LiERT at NOAA/CPC
15:15 – 15:307.8Transformer-Based Modeling of Global Microwave Land Surface Emissivity Using GPMFraser KingUniversity of Wisconsin-Madison
15:30 – 16:00Break
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

Thursday, 09/07/2026

TimeNo.Presentation titleAuthor NameAuthor Affiliation
Session 8 – New Products (Chair: Alan Calheiros, Lisa Milani)
09:00 – 09:158.1Leveraging Passive Microwave Observations for Precipitation NowcastingSimon PfreundschuhColorado State University
09:15 – 09:308.2New GSMaP MWR Precipitation Detection Method for AMSR3Kazumasa AonashiDivision of Earth and Planetary Sciences Graduate School of Science, Kyoto University
09:30 – 09:458.3The Integrated Observation and Data Fusion Application of FY-3G Precipitation Satellite and China’s Weather Radar NetworkPeng ZhangCMA
09:45 – 10:008.4Probabilistic Quantitative Precipitation Estimation With Space-Based RadarsPierre KirstetterUniversity of Oklahoma / NOAA National Severe Storms Laboratory
10:00 – 10:158.5Extreme Precipitation Scaling with Temperature: A Storm-Type Perspective(on behalf of Rajani Kumar Pradhan)Department of Geosciences, University of Padova, Padova, Italy
10:15 – 10:308.6New Retrieval Methods for Precipitation Latent Heat Profiles and Its Application to Precipitation Research over the Qinghai Xizang PlateauRui LiUniversity of Science and Technology of China
10:30 – 10:458.7Deep Learning Radar Nowcasting over the Upper Tyrrhenian SeaAndrea Antonini (online)LaMMA Consortium
10:45 – 11:008.8Creating a Global High-Resolution Convective or Stratiform Type ProductJackson Tan (online)NASA
11:00 – 11:15Break
Session 9 – Poster Speed-Talks – Remote and In-Situ (Chair: Daniel Vila, Elke Rustemeier)
11:15 – 12:001. min talk by each presenter 
9.1PrecSat: An Open, Modular, and Scalable Platform for Satellite Precipitation Monitoring, Validation, Tracking, and NowcastingAlan CalheirosBrazilian National Institute for Space Research
9.2Assessing the Contribution of the Arctic Weather Satellite 325.15 GHz Channels to Improve Observation of Precipitation EventsAndrea CamplaniCNR-ISAC
9.3Precipitation Observation Site in Central Texas for Ground-Validation of Satellite QPEFirat TestikUniversity of Texas at San Antonio
9.4An Open Framework for Global Tracking and Analysis of Satellite-Derived Precipitating SystemsDaniel VilaWMO
9.5The Preliminary Result of External Calibration for the Precipitation Measurement Radar onboard FengYun-3G SatelliteHonggang YinNational Satellite Meteorological Center, CMA
9.6Evaluation of Multiple Satellite Microwave Precipitation Products over Northern China during Cold SeasonsXiaoqing LiNational Satellite Meteorological Center
9.7NOAA Satellite Precipitation Validation System – A Standardized System to Assess Satellite Precipitation ProductsMalarvizhi Arulraj
9.8COMPEX – Airborne remote sensing of Arctic clouds and precipitation in complex environmentsMario MechInstitute of Geophysics and Meteorology, University of Cologne
9.9Comparative evaluation of H SAF, ERA5 Land, and IMERG precipitation products for dry spell climatology in PolandNatalia StrojnaIMGW-PIB, Poland
9.10A near-real-time precipitation product intercomparison and validation system for operational and research applicationsMarco PetraccaCNR-ISAC
9.11Evaluation of instantaneous rain rates estimates of FY-3G PMR Products with rain gauge dataset in four rain regions over ChinaQiong WuNational Satellite Meteorological Center
9.12Enhancing Global Precipitation Observation: The Contribution of FY-3 Satellites in Filling Critical GPM PMW Observation GapsRunze ZhaoChina Meteorological Administration, National Satellite Meteorological Center (National Center for Space Weather)
9.13A review of the past half-century Geostationary Satellite Thermal Observations for Global Precipitation Estimation: Developments, Achievements, and Future ProspectsYang Hong
9.14Bridging the GPM+CloudSat and GPM+EarthCARE coincidence datasets for expanded observations of drizzle and snowF. Joseph TurkJoint Institute for Regional Earth System Science and Engineering (JIFRESSE), University of California-Los Angeles, Los Angeles CA, USA
9.15Integration of optimal habit selection with DDA and SSRGA models for improved microwave radiative transfer simulationsDonghyeck KimYonsei University
12:00 – 13:30Lunch Break
Session 10 – SmallSats/CubeSats and New Precipitation Paradigms (Chair: Takuji Kubota, Joe Turk)
13:30 – 13:4510.1A new Earth system science resource: A globally gridded GEO-Ring radiance product and its applicationViju JohnEUMETSAT 
13:45 – 14:0010.2The Earth Explorer 11 WIVERN mission: Advancing Atmospheric Science Through In-Cloud Observations of Global WindsAlessandro BattagliaPolitecnico di Torino
14:00 – 14:1510.3User and System Needs for the Future of Global Precipitation DatasetsGeorge HuffmanNASA Goddard Space Flight Center
14:15 – 14:3010.4Enhancing CMORPH2 Through Infusing Retrievals from Direct Broadcast and Small SatellitesPingping XieNOAA
14:30 – 14:4510.5GEMS2-Amethyst: Current Status, Data Products, and Future Directions at Weather StreamRyan GonzalezWeather Stream
14:45 – 15:0010.6The Tomorrow.io Microwave Sounder Constellation: Status and Data ProductsJoseph MunchakThe Tomorrow Companies, Inc.
15:00 – 15:1510.7Optimizing Channel Selection for Passive Microwave Precipitation Measurement: A GPM StudySarah RingerudNASA GSFC
15:15 – 15:3010.8Quantitative precipitation measurements from satellites: where now?Chris Kidd (online)University of Birmingham, UK
15:30 – 15:4510.9Introducing GSICS: Inter-Calibration of Microwave Radiometers for PrecipitationTim Hewison (online)EUMETSAT
15:45 – 16:45Break
Parallel Discussion Sessions on New Products and New Paradigms
16:15 – 17:15Participants 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?
15:45 – 16:45Poster Viewing
20:00 Group Dinner

Friday, 10/07/2026

TimeNo.Presentation titleAuthor NameAuthor 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 – 10:0011.1Microphysical Controls of High-Frequency Microwave Scattering: Implications for Radiance Simulations and O–B BiasesDong-Bin ShinYonsei Univsersity
10:00 – 10:1511.2Updates on the NOAA Operational Snowfall Rate ProductHuan MengNOAA
10:15 – 10:3011.3OpenSSP Portal Grand Reopening: A Milestone Towards NASA PaSS DBKwo-Sen Kuo
10:30 – 10:4511.4Workflow Development for Snowfall Retrieval Quality AssessmentLisa MilaniUniversity of Maryland / NASA Goddard Space Flight Center
10:45 – 11:00Break
Session 12 – Land Surface (Chair: Sarah Ringerud, Veljko Petkovic)
12.1SENSITIVITY ANALYSIS OF LAND ATMOSPHERE INTERACTION USING DIFFERENT PARAMETERIZATION SCHEMES OF THE WRF MODEL TO SIMULATE HEAVY RAINFALL EVENTS OVER THE MAHI RIVER BASIN, INDIAADITYA SHARMAIndian Institute of Technology Delhi
12.2Applications of All-Weather Dynamic Emissivity Estimation Algorithm for Snowfall Retrievals from GPM/GMIMykhailo LohachovInstitute Science Tokyo
12.3Mapping Land-Use Conversion Pathways in Regions of Significant Rainfall Intensity and Frequency Trends: A Multi-Biome Assessment in BrazilJaqueline Vígolo Coutinho (online)George Mason University
12:00 – 13:30Lunch Break
Session 13 – Data Assimilation and Orographic Rainfall (Chair: Ali Berangi, Simon Pfreundschuh)
13.1Assimilating precipitation-sensitive observations in global weather forecastingAlan GeerECMWF
13.2Evaluation of EarthCARE/CPR simulation and preparation for data assimilation in the global NWP system of JMAKozo Okamoto
13.3Evaluation of AMSR3 precipitation-sensitive observations and preparation for the assimilation of EPS-SG MWI and WSFM MWI at ECMWFElisa Chardon-LegrandECMWF
13.4Learning spatiotemporal evolution of storms for improving forecasting over complex terrainClaudia AcquistapaceDepartment of Geosciences, University of Padova
Parallel Focus Group Sessions (Chair: Christian Kummerow; Giulia Panegrossi, Sarah Ringerud)
14:30 – 15:30 4 parallel sessions for each Focus Group to meet separately
Closing Session (Chair: Christian Kummerow; Giulia Panegrossi, Sarah Ringerud)
15:3010-minute reports from the Focus Groups
16:1030-minute summary of Wednesday and Thursday discussions
16:40IPWG business and meeting close-out

Wednesday, 8 July 2026

08:30 – 08:35Welcome and Introduction to the Course
8:35-9:00Introduction to precipitation-related satellite missions – Chris Kidd (remote)
9:00-9:35Retrieval Methods: Passive Microwave – Chris Kummerow
9:35-10:10Retrieval Methods: Active Microwave – Shinta Seto
10:10-10:45Merged Satellite Products. Focus on basics – George Huffman
10:45-11:05Break
11:05–11:40IMERG/GSMAP/HSAF – Huffman/Kubota/Panegrossi (Coordinated with Merged Talk to highlight specifics)
11:40-12:00Orographic Precipitation – Shoichi Shige (remote)

Thursday, 9 July 2026

08:30 – 08:50Snowfall/Particle Scattering – Huan Meng
08:50 – 09:10Land Surface – Sarah Ringerud
09:10 – 09:30CubeSat/SmallSat – Joe Munchak
09:30 – 09:50Data Assimilation – Alan Geer
09:50 – 10:10Machine Learning – Simon Pfreundschuh
10:10 – 10:30Validation/Baseline Surface Precipitation Network – Daniel Watters
10:30 – 10:50Break
10:50 – 11:10GPM data access – Erich Franz Stocker
11:10 – 11:30GSMaP websites – Takuji Kubota
11:30 – 11:50H-SAF data access – Bozena Lapeta
11:50 – 12:00Questions and wrap-up

Last update: 30-06-2026 14:00 UTC