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, https://doi.org/10.5194/egusphere-egu21-8432, 2021, CO Meeting Organizer EGU21 (copernicus.org).
  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, https://doi.org/10.5194/egusphere-egu22-8002, 2022, CO Meeting Organizer EGU22 (copernicus.org).

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: https://doi.org/10.1007/s11368-022-03192-1

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

Large-Scale Hydrological and Sediment Modeling in Nested Domains under Current and Changing Climate

SMHI investigated how well can large scale models predict runoff and sediment concentrations in a recent scientific publication. The comparison of historical simulations for three nested model domains (global, continental, and national) found that simulated sediment concentrations varied considerably among the nested models in spatial patterns, whereas runoff values were more similar. For indicators of future change, variables that were calibrated directly provided more consistent message than those derived from other model outputs. These results are important for DIRT-X applications as the cross-scale analyses give a better understanding and quantification of impacts and uncertainties in climate impact assessments.

Read more: https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0002078

Global distribution of sediment concentrations from WW-HYPE
Figure 2. Global distribution of sediment concentrations partly follows the distribution of runoff at a first look. However, closer examination shows low sediment concentrations present in areas of both low and medium runoff (e.g., northern Europe and Asia).