Integrating Prediction of Precipitation and Hydrology for Early Actions: The InPRHA Project within the World Weather Research Programme
Abstract Despite advancements in science and technology, flood prediction and preparedness remain challenging due to uncertainties in forecasting atmospheric and hydrologic processes, limited real-time data, and communication barriers. The Integrating Prediction of Precipitation and Hydrology for Early Actions (InPRHA) project, a 5-yr initiative under the WMO’s World Weather Research Programme, is the first to bring together meteorology, hydrology, and social sciences within a steering committee to address these challenges. Building on knowledge from the High Impact Weather (HiWeather) project, InPRHA focuses on multihazard flood forecasting across the entire warning value chain from minutes to days, in a rapidly changing world. A key emphasis is understanding flood predictability and how uncertainties cascade through forecasting systems and are perceived, communicated, and acted upon by diverse stakeholders. This includes bridging research and operations, examining socioeconomic, cultural, and environmental challenges that influence risk perception and response. We propose key scientific questions across seven themes that address critical gaps in integrating predictions along the flood warning value chain. Addressing these gaps requires collaboration across disciplines and agencies. The project is structured into four work packages: DEFINE (identifying challenges), CONSTRUCT (gathering case studies), EXPERIMENT (scientific evaluations), and ENGAGE (community collaboration). Research will span rural, urban, and underdeveloped regions as well as countries with established warning systems, ensuring broad applicability. We invite scientists and practitioners from meteorology, hydrology, hydraulics, impacts, communication, human behavior, and economics to collaborate. By integrating disciplines and fostering transdisciplinary research, InPRHA aims to advance the science and practice of flood forecasting and early warnings to better protect vulnerable communities at risk. Significance Statement InPHRA is a 5-yr project aimed at promoting international cooperation and advancing research to enhance flood hazard forecasting systems and warnings. By integrating precipitation and hydrologic predictions with social sciences, it seeks to improve early warning for communities in a rapidly changing world. InPRHA aims to reenvision the warning process by addressing flood multihazard interdependencies, local vulnerability, and climate change impacts on precipitation and hydrology forecasts. InPRHA calls on the broader research and operational community to collaborate on addressing key scientific questions and fostering transdisciplinary research across academia, research institutions, policymakers, and operational forecasting centers.
Authors
- Nico Caltabiano (ORCID: https://orcid.org/0000-0003-4868-9532)
- Thara Prabhakaran (ORCID: https://orcid.org/0000-0002-5240-2859)
- Jean‐François Léon (ORCID: https://orcid.org/0000-0002-1251-0361)
- Andrea Taylor
- Jan Polcher (ORCID: https://orcid.org/0000-0001-9020-5795)
- Estelle de Coning
- Céline Cattoën (ORCID: https://orcid.org/0000-0001-9186-6595)
- Daryl Kleist (ORCID: https://orcid.org/0000-0001-8188-8053)
- GyuWon Lee (ORCID: https://orcid.org/0000-0003-3224-220X)
- Maria‐Helena Ramos (ORCID: https://orcid.org/0000-0003-1133-4164)
- Everisto Mapedza
- Vincent Fortin (ORCID: https://orcid.org/0000-0002-2145-4592)
- Erin Dougherty (ORCID: https://orcid.org/0000-0002-8448-3673)
- Rachel Hogan Carr (ORCID: https://orcid.org/0000-0002-1722-724X)
- Ruben Imhoff (ORCID: https://orcid.org/0000-0002-4096-3528)
- James Bennett (ORCID: https://orcid.org/0000-0002-4930-2638)
- Yali Luo
- Chris Davis
Institutions
- NSF National Center for Atmospheric Research (US)
- CSIRO Oceans and Atmosphere (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Centre National de la Recherche Scientifique (FR)
- University of Leeds (GB)
- Indian Institute of Tropical Meteorology (IN)
- World Meteorological Organization (CH)
- Environment and Climate Change Canada (CA)
- University of Auckland (NZ)
- Nanjing University of Information Science and Technology (CN)
- Université Paris-Saclay (FR)
- Kyungpook National University (KR)
- Auckland University of Technology (NZ)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- The Nurture Nature Center (US)
- Deltares (NL)
- National Administration of Power Plants and Electrical Transmissions (Uruguay) (UY)
- International Water Management Institute (ZA)
- NOAA Environmental Modeling Center
- National Institute of Water and Atmospheric Research (NZ)
- Massey University (NZ)
Publication Details
- Journal
- Bulletin of the American Meteorological Society
- Published
- 2025-04-30
- DOI
- https://doi.org/10.1175/bams-d-24-0332.1
- Citations
- 2
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 2.21
Funders
- National Natural Science Foundation of China
- Nanjing University of Information Science and Technology
- Nanjing University
- Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology