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Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia
Research article (Environmental Research Letters, 2020) · cited 35× · AI/ML
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia
Summary
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia is a scholarly article[1].
Key Facts
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia'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). Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-integration-of-large-scale-climate-drivers-can-improve-the-forecast-of-seasonal-rainfall-probabil
MLA“Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-integration-of-large-scale-climate-drivers-can-improve-the-forecast-of-seasonal-rainfall-probabil.
BibTeX@misc{4ortxyz_machine-learning-based-integration-of-large-scale-climate-drivers-can-improve-the-forecast-of-seasonal-rainfall-probabil_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-integration-of-large-scale-climate-drivers-can-improve-the-forecast-of-seasonal-rainfall-probabil}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia — https://4ort.xyz/entity/machine-learning-based-integration-of-large-scale-climate-drivers-can-improve-the-forecast-of-seasonal-rainfall-probabil (retrieved 2026-05-24)