Scientific article
OA Policy
English

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
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
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Article (Published version)
Identifiers
Journal ISSN1364-8152
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23downloads

Technical informations

Creation17/04/2025 00:32:11
First validation22/12/2025 10:04:04
Update19/01/2026 11:23:01
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