Presentations and conferences

  1. Bartosova A, Arheimer B, de Lavenne A, Capell R, and Strömqvist J, 2021. Assessing robustness of large-scale hydrological and sediment modeling using nested domains under current and changing climate. Oral presentation at The XIth Scientific Assembly of the International Association of Hydrological Sciences (IAHS 2022), 29 May to 3 June 2022, Montpellier (France).
  2. Bartosova A, Brendel C, et al., 2022. Advancing large scale hydrological and sediment modeling for hydropower industry operations. Oral presentation at HYDRO 2022, 25-27 April 2022, Strasbourg, France.
  3. Bartosova A, Arheimer B, de Lavenne A, Capell R, and Strömqvist J, 2021. Assessing uncertainty in large-scale hydrological and sediment modelling using nested domains under current and changing climate. Oral presentation at The 24th International Congress on Modelling and Simulation (MODSIM2021), 5-9 December 2021, Sydney, Australia, (Online).
  4. Bartosova A, Arheimer B, de Lavenne A, Capell R, and Strömqvist J, 2021. Are large scale models useful? A case of nested model domains for assessing current and future stream runoff and sediments. Presented at The EGU General Assembly, 19-30 April 2021, (Online).
  5. Bartosova A, de Lavenne A, Mussuza J, Strömqvist J, and Arheimer B (2019) Exploring global sediment sources, processes, and impacts with a global dynamic model. Poster at International Interdisciplinary Conference on Land Use and Water Quality Conference, Aarhus, Denmark, 3-6 June 2019.
  6. de Lavenne A., Bartosova, Strömqvist J., Arheimer B (2020). Accounting for discharge simulation performances and observation quality for modelling sediment at global scale. Poster presentation at European Geosciences Union General Assembly, Vienna, Austria, 4-8 May 2020.
  7. de Lavenne A, Bartosova A, Strömqvist J, Lindström G, Musuuza J, and Arheimer B (2019) Global drivers of sediment fluxes. Poster at The 27th IUGG General Assembly, Montreal, Canada, 8-18 July, 2019.
  8. de Lavenne A, Musuuza J, Bartosova A, and Arheimer B (2019) From annual to daily sediment fluxes modelling at global scale. Poster at European Geosciences Union General Assembly, Vienna, Austria, 7-12 April 2019.
  9. Mouris, K., Schwindt, S., Haun, S., Pesci, M. H., Förster, K., Rüther, N., Schwarzwälder, K., and Wieprecht, S.: Climate reanalysis data with global coverage enable sediment load prediction in the absence of systematic field data, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8432,, 2021, CO Meeting Organizer EGU21 (
  10. Pesci, M. H., Mouris, K., Bosshard, T., and Förster, K.: How do changes in model parameters compare to climate change impacts signals? A case study of a modeling chain to predict reservoir inflow and sedimentation processes in the Devoll Catchment (Albania), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8002,, 2022, CO Meeting Organizer EGU22 (

Invited presentations

  1. Bartosova A, 2020. Large scale modeling under changing climate and socioeconomics. Roorkee Water Conclave, Roorkee, India, 26-28 February 2020.
  2. Bartosova A, 2022. Understanding the interplay between sediment regime and water management structures at a large scale. The 2nd Roorkee Water Conclave, 2-4 March 2022, Roorkee, India (Online).
  3. Bartosova A, 2022. Evaluating sediment Delivery Impacts on Reservoirs in changing climaTe and society aCROSS scales – DIRT-X overview. Banja workshop, 28-29 March, 2022 (Online).

Introducing seasonal snow memory into the RUSLE

The University of Stuttgart have incorporated seasonal snow memory into the Revised Universal Soil Loss Equation (RUSLE) and combined it with the SEdiment Delivery Distributed (SEDD) model in a recent scientific publication. The inclusion of snow-related processes, especially the separation of non-erosive snowfall from erosive snowmelt, was found to greatly enhance model accuracy. These results represent a major improvement for estimating suspended sediment loads, especially in data-sparse regions, further enhanced by the use of freely available satellite imagery and climate reanalysis datasets. These results are important for DIRT-X applications as long-term predictions of bathymetric change, necessary when modeling climate change scenarios, will require an objective calculation procedure for the sediment load as a function of a catchment’s specific characteristics and hydroclimatic features.

Read more:

A photo of an avalanche cone.
Figure: Avalanche cones from Tyrol, Austria. Photo curtesy of Sebastian Schwindt.

DIRT-X field excursion 2022

Before the GA in the end of June we participated in a field excursion.

Our first stop, after an amazing boat ride, was at NTNU’s Sletvik biological field station where we learned about their teaching/research in the bay of Hopavågen with special hydrological features due to its narrow inlet from the sea. Read more about Sletvik here.

The view behind a boat in Norway with the norwegian flag.
A photo from the boat ride.
The narrow inlet.
Narrow inlet from the sea.
The participants by the field station infront of a body of water and a mountain.
The eleven participants of the field excursions by NTNU’s biological field station








Our second stop was at Follsjoe Dam, operated by Statkraft. We learned about new construction work being carried out to bolster the dam according to new regulations. Dams in Norway are reviewed every 15 years and checked for compliance with current regulations. This dam is special due to the chosen method for bolstering the dam (riprap), which is human-placed rock material to protect the dam against erosional processes. Check out the cool pictures below!

Downstream of the dam, a hydraulic structure has been added to prevent wild salmon from entering the river, to control for parasitic infestation.

The participants at a lecture.
The group at the dam.
The dam bolstering method.
The bolstering method at Follsjoe Dam.









People standing with orange vests and security helments.
The group at the Follsjoe Dam.
The bolstering method at Follsjoe Dam.
By the Follsjoe Dam.












Our last stop was to see a sediment trapping basin, reducing sedimentation of the reservoir located further downstream. At the photos below you can see basin.








Stay tuned for a post from the GA!