Reference:Reference-012652: Difference between revisions

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|PublicationClusterID=0
|PublicationClusterID=0
|MS_PublicationClusterID=3092276555
|MS_PublicationClusterID=3092276555
|Semantic_ID=40527572fff6db3d8234c21d58f05a6a7819eb63
|Semantic_ID=40527572fff6db3d8234c21d58f05a6a7819eb63 |CorpusID=225140338
|CorpusID=225140338
|PublicationWhatKindOf=a module application description
|PublicationWhatKindOf=a module application description
|PublicationNrofModels=a single module
|PublicationNrofModels=a single module

Latest revision as of 15:11, 8 October 2024



Author(s) Dayal, Kavina; Brown, Jaclyn N.; Waldner, François; Lawes, Roger; Hochman, Zvi; Donohue, Randall; Horan, Heidi; Chen, Yang;
BibType journalArticle
Title Climate drivers provide valuable insights into late season prediction of Australian wheat yield
Editors
Year 2020-12-01
Journal Agricultural and Forest Meteorology
Booktitle
Volume 295
Pages 108202
URL https://linkinghub.elsevier.com/retrieve/pii/S016819232030304X
DOI 10.1016/j.agrformet.2020.108202
ISBN
Note Auto downloaded ref at: 2021-01-11


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 3092276555
Semantic_ID 40527572fff6db3d8234c21d58f05a6a7819eb63
Nr of citations 2
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:


Model(s) discussed: ApsimX