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Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models
Research article (Journal of Hydrology Regional Studies, 2022) · cited 40× · AI/ML
Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models
Summary
Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models is a scholarly article[1].
Key Facts
Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models. Retrieved May 24, 2026, from https://4ort.xyz/entity/reference-evapotranspiration-estimation-in-hyper-arid-regions-via-d-vine-copula-based-quantile-regression-and-comparison
MLA“Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reference-evapotranspiration-estimation-in-hyper-arid-regions-via-d-vine-copula-based-quantile-regression-and-comparison.
BibTeX@misc{4ortxyz_reference-evapotranspiration-estimation-in-hyper-arid-regions-via-d-vine-copula-based-quantile-regression-and-comparison_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models}}, year = {2026}, url = {https://4ort.xyz/entity/reference-evapotranspiration-estimation-in-hyper-arid-regions-via-d-vine-copula-based-quantile-regression-and-comparison}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models — https://4ort.xyz/entity/reference-evapotranspiration-estimation-in-hyper-arid-regions-via-d-vine-copula-based-quantile-regression-and-comparison (retrieved 2026-05-24)
