GEOHYD Lunch Seminar: Project Overview of Building a Nordic Hydrometeological Data Set and Model to Estimate Reservoir Inflow in Norway

Welcome to our GEOHYD Lunch Seminar Friday 3rd of February @ 12:15 in Aud. 2, Geology building or via videolink using Zoom. The seminar is helt by Kristen Joy Valseth, UiO-Math.

Seminar by Kristen Joy Valseth, Department of Mathematics, UiO:

Project Overview of Building a Nordic Hydrometeological Data Set and Model to Estimate Reservoir Inflow in Norway

 

Abstract: In 2022 extensive drought conditions were affecting Europe and Norway causing several reservoirs in Norway to be at their lowest level in 20 years. Low water supplies in reservoirs increases the cost of hydroelectric power, which can have a cascading effect on local and international economies. Good tools for hydrologic modeling are essential for hydro power producers to be able to understand and plan their production with regards to electricity prices and consumption demand. Currently, hydro power producers are using highly efficient but simplified modeling approaches for hydrological routines. However, changing hydrologic and climate conditions has created a demand for more accurate and informed models to estimate reservoir inflow to improve and expand water management abilities. The objective of this  study is to build a large high-quality hydrometeological data set, develop new methodologies on the combination of PDEs and machine learning in hydrology, and produce an improved the model for estimating reservoir inflow.  

Using large high-quality data sets improve modeling outcomes and if they are freely accessible to the scientific community it can facilitate the evaluation of hydrologic processes, prediction questions, and cross study comparisons. To support, both the modeling effort and researchers in the Nordics a coherent data set of meteorological, hydrological, topography, climate, stream flow, land cover, and geology data for the entirety of Norway and Sweden will be collected, processed, and published with scripts to update data sets automatically where possible. A hybrid model framework using partial differential equations (PDEs), and machine learning with large high-quality data sets as inputs has the potential to efficiently approximate daily reservoir inflow estimates with increased accuracy.

The talk is in Aud 2 in the Geology Building. It is also possible to follow at Zoom.

Videolink to the lecture will be sent to the mailinglists alle@geo and geohyd-info@geo. If you want to subscribe to the geohyd-info@geo list send an email to Anita

This lecture use Zoom | Download the Zoom Client for Meetings

About the seminar

This seminar is offered by the Section for Geography and Hydrology, Dept. of Geosciences, University of Oslo. The GEOHYD-seminars are announced as lunch seminars so bring your lunch if you want to. 

The seminars are open for everyone interested, and especially students are welcome. 

The Lunch Seminar Team​​​
– Olga and Ruitang

Published Feb. 1, 2023 9:26 AM - Last modified Feb. 1, 2023 9:26 AM