For funders and research organisations assembling water risk or climate adaptation programmes. We bring methodological depth in AI-supported probabilistic hydrology, stochastic simulation, and decision support. Our track record spans national research councils, operational hydrology agencies, and long-term industry partnerships across Europe and North America.
Active interest areas:
For utilities, engineering firms, reinsurance teams, and public authorities needing specific probabilistic analyses: return level estimation, IDF curve construction, stochastic scenario generation, uncertainty quantification. Engagements are scoped, time-bounded, and deliverable-oriented.
Example deliverables:
Large hydroclimatic datasets — ERA5, CMIP6, GPCC, satellite products, national gauge networks — are publicly available but technically demanding. Retrieving, quality-checking, formatting, and analysing them at scale requires expertise most organisations do not have in-house. We do. This is a fee-based service for organisations that have a data need and want expert support to address it.
What this service covers:
Suitable for: engineering firms, public water authorities, environmental consultancies, insurance teams, and research groups lacking dedicated data expertise.
Enquire about Data IntelligenceWe deliver professional workshops on stochastic simulation, CoSMoS, and hydroclimatic data handling — at TUHH or at your organisation. Workshops can be tailored to your team's background and application context.
We deliver professional workshops on stochastic simulation, CoSMoS, and hydroclimatic data handling — at TUHH or at your organisation. Workshops can be tailored to your team's background and application context. Our training programme has an established international track record spanning summer schools, research institutions, and major scientific conferences. See the Workshops page for topic list and prior events.
Enquire about a workshopWe are building a team that combines mathematical rigour with applied ambition. If you have a background in statistics, hydrology, machine learning, computational science, or water governance — and you want your work to reach beyond the journal page — look at our current openings.