Digitaaliset vedet (DIWA) lippulaivaohjelman webinaari

Getnet Jenberia, University of Oulu. getnet.jenberia@oulu.fi The effective management of water resources under accelerating climate change, particularly in complex cryosphere-influenced environments like Finland, necessitates accurate and timely hydrological information. Earth observation (EO) provides vast datasets, yet converting indirect satellite measurements into quantitative hydrological variables remains challenging. Traditional process-based hydrological models

Simo Ylönen, University of Oulu, simo.ylonen@oulu.fi Collecting hydrological data is hard – Trusting it is even harder. We, researchers, spend a great deal of time collecting, analyzing, and modelling our datasets. Equally, much thought goes into planning the measurements themselves: is this gauging point the right place to represent a