| Drying and rainfall shape the structure and functioning of nitrifying microbial communities in riverbed sediments MI Arce, D Von Schiller, MM Bengtsson, C Hinze, H Jung, RJE Alves, ... Frontiers in Microbiology 9, 2794, 2018 | 45 | 2018 |
| Benchmarking inference methods for water quality monitoring and status classification H Jung, C Senf, P Jordan, T Krueger Environmental monitoring and assessment 192, 1-17, 2020 | 16 | 2020 |
| Bayesian hierarchical modeling of nitrate concentration in a forest stream affected by large‐scale forest dieback H Jung, C Senf, B Beudert, T Krueger Water Resources Research 57 (2), e2020WR027264, 2021 | 5 | 2021 |
| Uncertainty in water quality monitoring, data analysis and modelling–and a Buddhist contemplation on its suffering H Jung Humboldt-Universität zu Berlin, 2023 | | 2023 |
| Buddhist thoughts on frustration of the desire the know in Geoscience H Jung EGU General Assembly Conference Abstracts, EGU-17116, 2023 | | 2023 |
| Bayesian hierarchical modelling of nitrate concentration in a forest stream affected by large-scale forest dieback H Jung, C Senf, B Beudert, T Krüger Authorea Preprints, 2022 | | 2022 |
| Modelling nitrate concentration in a forest stream affected by bark beetle using hypothesis-driven Bayesian hierarchical modelling. H Jung, C Senf, B Beudert, T Krueger Geophysical Research Abstracts 21, 2019 | | 2019 |
| Benchmarking uncertainty quantification of water quality monitoring by high-frequency phosphorus data: comparison of Bayesian inference and bootstrap H Jung, C Senf, P Jordan, T Krueger EGU General Assembly Conference Abstracts, 708, 2018 | | 2018 |
Tobias KruegerHumboldt-Universität zu Berlin在 hu-berlin.de 的电子邮件经过验证
