Query

Active Filters

  • (-) Organizational Unit = Mountain Hydrology and Mass Movements
  • (-) Publication Year = 2019 - 2019
  • (-) Keywords ≠ alps
  • (-) WSL Authors = Bogner, Konrad
Search Results 1 - 2 of 2
  • CSV Spreadsheet
  • Excel Spreadsheet
  • RSS Feed
Select Page
Machine learning techniques for predicting the energy consumption/production and its uncertainties driven by meteorological observations and forecasts
Bogner, K., Pappenberger, F., & Zappa, M. (2019). Machine learning techniques for predicting the energy consumption/production and its uncertainties driven by meteorological observations and forecasts. Sustainability, 11(12), 3328. https://doi.org/10.3390/su11123328
Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach
Monhart, S., Zappa, M., Spirig, C., Schär, C., & Bogner, K. (2019). Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach. Hydrology and Earth System Sciences, 23(1), 493-513. https://doi.org/10.5194/hess-23-493-2019