| Cross-validation strategy impacts the performance and interpretation of machine learning models L Sweet, C Müller, M Anand, J Zscheischler Artificial Intelligence for the Earth Systems 2 (4), e230026, 2023 | 23 | 2023 |
| Performance of TAHMO Zurich Weather Station M Anand, P Molnar Institute of Environmental Engineering, D-Baug: ETH Zurich, Switzerland, 2018 | 4 | 2018 |
| Daily streamflow prediction using an LSTM neural network in Alpine catchments M Anand, P Molnar, N Peleg EGU General Assembly Conference Abstracts, 21737, 2020 | 2 | 2020 |
| Identifying compound weather drivers of forest biomass loss with generative deep learning M Anand, FJ Bohn, G Camps-Valls, R Fischer, A Huth, L Sweet, ... Environmental Data Science 3, e4, 2024 | 1 | 2024 |
| Winter climate preconditioning of summer vegetation extremes in the Northern Hemisphere M Anand, R Hamed, N Linscheid, PS Silva, J Andre, J Zscheischler, ... Environmental Research Letters, 2024 | | 2024 |
| Defining error accumulation in ML atmospheric simulators R Parthipan, M Anand, HM Christensen, JS Hosking, DJ Wischik arXiv preprint arXiv:2405.14714, 2024 | | 2024 |
| Insights into weather-driven forest mortality with a cross-modal transformer M Anand, L Sweet, FJ Bohn, G Camps-Valls, R Fischer, A Huth, ... AGU Fall Meeting Abstracts 2023, B34B-07, 2023 | | 2023 |
| Identifying compound weather prototypes of forest mortality with β-VAE M Anand, F Bohn, L Sweet, G Camps-Valls, J Zscheischler EGU General Assembly Conference Abstracts, EGU-10219, 2023 | | 2023 |
| Model evaluation strategy impacts the interpretation and performance of machine learning models L Sweet, C Müller, M Anand, J Zscheischler EGU General Assembly Conference Abstracts, EGU-8479, 2023 | | 2023 |
| CUPofTEA: the Community Understanding Platform of Terrestrial Exchanges with the Atmosphere A Renchon, P Weisenhorn, S Pal, O Briner, M Anand, VR Kotamarthi, ... AGU Fall Meeting Abstracts 2022, B52H-0915, 2022 | | 2022 |
| Identifying drivers of extreme reductions in carbon uptake of forests with interpretable machine learning M Anand, G Camps-Valls, J Zscheischler EGU General Assembly Conference Abstracts, EGU22-12858, 2022 | | 2022 |
| Machine learning based spatio-temporal interpolation of soil moisture in an agricultural catchment S Khurana, T Houben, P Ebeling, J Schmid, L Schmidt, M Anand, J Boog AGU Fall Meeting Abstracts 2021, H55C-0775, 2021 | | 2021 |
| A global analysis of lagged coincidence of precipitation and temperature extremes M Anand, E Bevacqua, J Zscheischler AGU Fall Meeting Abstracts 2021, GC55D-0450, 2021 | | 2021 |
| Ecosystem vulnerability to compound extremes and disturbances in a changing climate A Bastos, M Anand, J Andre, E Butler, F Garry, R Hamed, N Linscheid, ... AGU24, 0 | | |
Jakob ZscheischlerHelmholtz Centre for Environmental Research - UFZ在 ufz.de 的电子邮件经过验证
