Felix Nikolaus Matt

• Burkhart, John; Matt, Felix Nikolaus; Helset, Sigbjørn; Abdella, Yisak Sultan; Skavhaug, Ola & Silantyeva, Olga (2021). Shyft v4.8: A Framework for Uncertainty Assessment and Distributed Hydrologic Modelling for Operational Hydrology. Geoscientific Model Development.  ISSN 1991-959X. . doi: 10.5194/gmd-2020-47 Full text in Research Archive.
• Bhattarai, Bikas Chandra; Burkhart, John; Tallaksen, Lena M.; Xu, Chong-Yu & Matt, Felix Nikolaus (2020). Evaluation of global forcing datasets for hydropower inflow simulation in Nepal. Hydrology Research.  ISSN 1998-9563.  51(2), s 202- 225 . doi: 10.2166/nh.2020.079 Full text in Research Archive.
• Magnusson, Jan; Nævdal, Geir; Matt, Felix; Burkhart, John F & Winstral, Adam (2020). Improving hydropower inflow forecasts by assimilating snow data. Hydrology Research.  ISSN 1998-9563.  51(2), s 226- 237 . doi: 10.2166/nh.2020.025 Full text in Research Archive. Show summary

  Accurate long-term inflow forecasts are essential for optimal planning of hydropower production. In snow-rich regions, where spring snowmelt is often the largest reservoir of water, inflow forecasts may be improved by assimilating snow observations to achieve more accurate initial states for the hydrological models prior to the prognosis. In this study, we test whether an ensemble Kalman based approach is useful for this purpose for a mountainous catchment in Norway. For 15 years, annual snow observations near peak accumulation at three locations were assimilated into a distributed hydrological model. After the update, the model was run for a 4-month forecasting period with inflows compared to a base case scenario that omitted the snow observations. The assimilation framework improved the forecasts in several years, and in two of the years, the improvement was very large compared to the base case simulation. At the same time, the filter did not degrade the forecasts largely, indicating that though the updating might slightly degrade performance in some years, it maintains the potential for large improvements in others. Thus, the framework proposed here is a viable method for improving snow-related deficiencies in the initial states, which translates to better forecasts.

• Santra, Sauvik; Verma, Shubha; Fujita, Koji; Chakraborty, Indrajit; Boucher, Olivier; Takemura, Toshihiko; Burkhart, John; Matt, Felix Nikolaus & Sharma, Mukesh (2019). Simulations of black carbon (BC) aerosol impact over Hindu Kush Himalayan sites: Validation, sources, and implications on glacier runoff. Atmospheric Chemistry and Physics.  ISSN 1680-7316.  19(4), s 2441- 2460 . doi: 10.5194/acp-19-2441-2019 Full text in Research Archive.
• Matt, Felix Nikolaus & Burkhart, John (2018). Assessing Satellite-Derived Radiative Forcing From Snow Impurities Through Inverse Hydrologic Modeling. Geophysical Research Letters.  ISSN 0094-8276.  45(8), s 3531- 3541 . doi: 10.1002/2018GL077133
• Matt, Felix Nikolaus; Burkhart, John & Pietikainen, Joni-Pekka (2018). Modelling hydrologic impacts of light absorbing aerosol deposition on snow at the catchment scale. Hydrology and Earth System Sciences.  ISSN 1027-5606.  22(1), s 179- 201 . doi: 10.5194/hess-22-179-2018 Full text in Research Archive.

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• Matt, Felix Nikolaus; Magnusson, Jan Olof; Nævdal, Geir; Winstral, Adam & Burkhart, John (2019). Improving long‐term hydropower inflow forecasts by assimilating snow data.

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