Reference:Reference-021126
From CSDMS
| Author(s) | None, None; |
| BibType | conferencePaper |
| Title | Long-range impact-based forecasts for agricultural drought early warning in Australia |
| Editors | |
| Year | 2023-08-01 |
| Journal | None |
| Booktitle | None |
| Volume | None |
| Pages | None |
| URL | https://mssanz.org.au/modsim2023/files/schepen.pdf |
| DOI | 10.36334/modsim.2023.schepen |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-29
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 11c1f3f49856added2c93c5b2a9d3fecb90f5a48 |
| Nr of citations | 0 |
| Sort of publication | a module application description |
| Sort of model publication | a single module |
| Is the CSDMS HPC used | No |
| If HPC is used, for what project was it?: | |
| Associated simulation movie if any: |
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| Model(s) discussed: | ApsimX
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