| Hybrid forecasting: blending climate predictions with AI models LJ Slater, L Arnal, MA Boucher, AYY Chang, S Moulds, C Murphy, ... Hydrology and Earth System Sciences 27 (9), 1865-1889, 2023 | 72* | 2023 |
| Tercile forecasts for extending the horizon of skillful hydrological predictions K Bogner, AYY Chang, L Bernhard, M Zappa, S Monhart, C Spirig Journal of Hydrometeorology 23 (4), 521-539, 2022 | 5 | 2022 |
| Exploring the Use of European Weather Regimes for Improving User-Relevant Hydrological Forecasts at the Subseasonal Scale in Switzerland AYY Chang, K Bogner, CM Grams, S Monhart, DIV Domeisen, M Zappa Journal of Hydrometeorology 24 (10), 1597-1617, 2023 | 4 | 2023 |
| Using Temporal Fusion Transformer (TFT) to enhance sub-seasonal drought predictions in the European Alps AYY Chang, K Bogner, MH Ramos, S Harrigan, DIV Domeisen, M Zappa EGU24, 2024 | | 2024 |
| Comparing drought simulation performance from large-scale and locally set up hydrological models for large mountainous rivers in Switzerland AYY Chang, K Bogner, MH Ramos, S Harrigan, DIV Domeisen, M Zappa EGU General Assembly Conference Abstracts, EGU-12694, 2023 | | 2023 |
| Hybrid Forecasting of Recent Flood and Drought Events in Switzerland AYY Chang, S Jola, K Bogner, DIV Domeisen, M Zappa EGU General Assembly Conference Abstracts, EGU22-1893, 2022 | | 2022 |
| Challenges of machine learning based post-processing methods for sub-seasonal forecasts K Bogner, AYY Chang, M Zappa IAHS2022, 2022 | | 2022 |
| Sub-seasonal Hydrological Drought Forecast–the use of a Hybrid Forecasting System for Streamflow and Lake Level Predictions in Switzerland AYY Chang, S Jola, K Bogner, DIV Domeisen, M Zappa IAHS2022, 2022 | | 2022 |
| Predicting Subseasonal Hydrological Droughts for Swiss Lakes and Large Rivers–Combining Mesoscale Hydrological EPS and Machine Learning Approaches AYY Chang, S Jola, K Bogner, DIV Domeisen, M Zappa EMS2021, 2021 | | 2021 |
| Improving Sub-Seasonal Hydrological Forecasts in Switzerland: An Exploratory Study of Post-Processing Techniques by Using Machine Learning and Weather Regime Diagnostics YYA Chang, K Bogner, M Zappa, DIV Domeisen, CM Grams EGU21, 2021 | | 2021 |
| Hybrid Hydrological Modeling for Sub-seasonal Droughts Forecasts-A Combination of Traditional Models and Machine Learning Techniques for Streamflow and Lake Level Predictions … S Jola, AYY Chang, K Bogner, DIV Domeisen, M Zappa 14. Hydrology and Hydrogeology, 11, 0 | | |
Massimiliano ZappaWSL, Birmensdorf在 wsl.ch 的电子邮件经过验证
Massimiliano ZappaWSL, Birmensdorf在 wsl.ch 的电子邮件经过验证