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| Sandor, R and Ehrhardt, F and Grace, P and Recous, S and Smith, V and Snow, V and Soussana, J-F and Basso, B and Bhatia, A and Brilli, A and Doltra, J and Dorich, CD and Doro, L and Fitton, L and Grant, BB and Harrison, MT and Skiba, U and Kirschbaum, MUF and Klumpp, K and Laville, P and Leonard, J and Martin, R and Massad, RS and Moore, A and Myrgiotis, V and Pattey, E and Rolinski, S and Sharp, J and Smith, W and Wu, L and Zhang, Q and Bellocchi, G, “Residual correlation and ensemble modelling to improve crop and grassland models”, Environmental Modelling and Software, 161 Article 105625. ISSN 1364-8152 (2023) [Refereed Article] | |
| Data Type | Value |
|---|---|
| Type of Research | Applied Research |
| Research Division | Agricultural, Veterinary and Food Sciences |
| Research Group | Agriculture, land and farm management |
| Research Field | Agricultural systems analysis and modelling |
| Research Objective Division | Environmental Policy, Climate Change and Natural Hazards |
| Research Objective Group | Mitigation of climate change |
| Research Objective Field | Management of greenhouse gas emissions from plant production |
| Visit Item on eCite | http://ecite.utas.edu.au/155072 |
| Digital Object Identifier | doi:10.1016/j.envsoft.2023.105625 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |