The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


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Session Proposal: Digital Solutions for Hydrological Process Observations and Water Resource Management (AGU25)

H057
Digital Solutions for Hydrological Process Observations and Water Resource Management

Session ID#: 251260

Session Description:
We welcome abstracts that explore innovations in digital technologies for observing hydrological processes and managing water resources. Advances in monitoring hydrological storage and fluxes are key to developing next-generation observational systems, modeling techniques, and data analysis platforms. This session focuses on the use of novel sensing technologies—ranging from remote sensing and mobile sensors to in-situ networks—combined with integrated modeling tools to observe and simulate hydrological processes across multiple spatial and temporal scales. Of particular interest is the fusion of diverse data sources into cohesive digital platforms that support real-time assessment, scenario modeling, and adaptive management in the context of global change and increasing hydroclimatic extremes. We encourage contributions that highlight the development or application of digital twins, the integration of digital observation systems for land, surface water, and groundwater, and case studies showcasing how these tools enhance understanding and governance of river systems and water resources.
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • C - Cryosphere
  • EP - Earth and Planetary Surface Processes
  • IN - Informatics
Index Terms:

1804 Catchment [HYDROLOGY]
1819 Geographic Information Systems (GIS) [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1942 Machine learning [INFORMATICS]
Primary Convener:  Petteri Alho, University of Turku, Department of Geography and Geology, Turku, Finland
Conveners:  Hannu Marttila, University of Oulu, Water, Energy and Environmental Engineering Research Unit, Oulu, Finland and Bjørn Kløve, University of Oulu, Water, Energy and Environmental Engineering Research Unit, Oulu, Finland
 
Environmental impacts of peat extraction site rewetting – Can we make a digital replicate from the restored peatland? (1845613)
Hannu Marttila1, Annalea Lohila2,3, Maarit Liimatainen4, Anna-Kaisa Ronkanen5, Heini Postila6, Mika Aurela2, Xiao Lu1, Tuula Aalto2, Janne Rinne7, Olli Peltola7, Hermanni Aaltonen2, Toni Liedes8, Juho Kinnunen4, Aleksi Isoaho4, Milla Niiranen4, Aleksi Räsänen9, Kaisa-Riikka Mustonen10 and Timo Muotka10, (1)University of Oulu, Water, Energy and Environmental Engineering Research Unit, Oulu, Finland, (2)Finnish Meteorological Institute, Helsinki, Finland, (3)University of Helsinki, Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, Helsinki, Finland, (4)Natural Resources Institute Finland, Oulu, Finland, (5)Finnish Environment Institute, Helsinki, Finland, (6)University of Oulu, Water, Energy and Environmental Engineering research unit, Oulu, Finland, (7)Natural Resources Institute Finland, Helsinki, Finland, (8)university of Oulu, Intelligent Machines and Systems, Oulu, Finland, (9)University of Oulu, Geography Research Unit, Oulu, Finland, (10)University of Oulu, Ecology and Genetics Research Unit, Oulu, Finland
 
Climate Change and River Regime Alterations in Arctic Region: Trends, Impacts, and Hydrological Implications (1889552)
Asfand Tehseen, Petteri Alho and Elina Kasvi, University of Turku, Department of Geography and Geology, Turku, Finland
 
Hydrodiversity: Advancing a Framework to Understand River System Resilience in a Changing Climate (1941705)
Petteri Alho1, Ville Kankare2, Hannu Marttila3 and Elina Kasvi1, (1)University of Turku, Department of Geography and Geology, Turku, Finland, (2)University of Turku, Turku, Finland, (3)University of Oulu, Water, Energy and Environmental Engineering Research Unit, Oulu, Finland
 
VR and AR-Based Visualization of Water Table Dynamics (1951021)
Seongyoon Woo, Pusan National University, Civil Engineering, Busan, Korea, Republic of (South) and Minseok Kim, Pusan National University, Civil Engineering, Busan, South Korea
 
The Inverse Predictor-Corrector Data Assimilation method for discharge estimation in rivers (IPCDA): development, sensitivity analysis and application (1990165)
David Poblete, Universidad de Valparaíso, School of Civil Engineering, Valparaíso, Chile, Rodrigo Meneses, University of Valparaiso, School of Civil Engineering, Valparaíso, Chile and Valeria Madrid, Universidad de Valparaíso, School of Engineering, Valparaíso, Chile
 
Enabling Water Resource Management Through a Cloud Based Platform for Modeling and Monitoring of Hydrogeological Processes using Time Lapse Electrical Resistivity (1993564)
Roelof J Versteeg1, Reza Soltanian2, Sean Kacur3, Greg Partridge3, Doug Val Johnson3, Tyler Turner3, Mike van der Werf4 and Marco de Kleine5, (1)Subsurface Insights, Hanover, NH, United States, (2)Wright State University Main Campus, Dayton, United States, (3)Subsurface Insights, Hanover, United States, (4)Metinco, Utrecht, Netherlands, (5)Deltares, Utrecht, Netherlands
See more of: Hydrology
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