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A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments
Research article (Hydrology and earth system sciences, 2018) · cited 83× · AI/ML
A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments
Summary
A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments is a scholarly article[1].
Key Facts
A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-bayesian-modelling-method-for-post-processing-daily-sub-seasonal-to-seasonal-rainfall-forecasts-from-global-climate-mo
MLA“A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-bayesian-modelling-method-for-post-processing-daily-sub-seasonal-to-seasonal-rainfall-forecasts-from-global-climate-mo.
BibTeX@misc{4ortxyz_a-bayesian-modelling-method-for-post-processing-daily-sub-seasonal-to-seasonal-rainfall-forecasts-from-global-climate-mo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments}}, year = {2026}, url = {https://4ort.xyz/entity/a-bayesian-modelling-method-for-post-processing-daily-sub-seasonal-to-seasonal-rainfall-forecasts-from-global-climate-mo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments — https://4ort.xyz/entity/a-bayesian-modelling-method-for-post-processing-daily-sub-seasonal-to-seasonal-rainfall-forecasts-from-global-climate-mo (retrieved 2026-05-24)
