Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion
Published inEnvironmental modelling & software, vol. 167, 105750
Publication date2023-09
Research groups
Funding
- National Research Foundation Singapore
- Ministry of Education - Singapore [NRF-NRFF2018-06]
Citation (ISO format)
RABONZA, Maricar et al. Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion. In: Environmental modelling & software, 2023, vol. 167, p. 105750. doi: 10.1016/j.envsoft.2023.105750
Main files (1)
Article (Published version)
Identifiers
- PID : unige:189862
- DOI : 10.1016/j.envsoft.2023.105750
Additional URL for this publicationhttps://linkinghub.elsevier.com/retrieve/pii/S1364815223001366
Journal ISSN1364-8152
