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Application of a Hybrid CEEMD-LSTM Model Based on the Standardized Precipitation Index for Drought Forecasting: The Case of the Xinjiang Uygur Autonomous Region, China
Research article (Atmosphere, 2022) · cited 21× · AI/ML
Application of a Hybrid CEEMD-LSTM Model Based on the Standardized Precipitation Index for Drought Forecasting: The Case of the Xinjiang Uygur Autonomous Region, China
Summary
Application of a Hybrid CEEMD-LSTM Model Based on the Standardized Precipitation Index for Drought Forecasting: The Case of the Xinjiang Uygur Autonomous Region, China is a scholarly article[1].
Key Facts
Application of a Hybrid CEEMD-LSTM Model Based on the Standardized Precipitation Index for Drought Forecasting: The Case of the Xinjiang Uygur Autonomous Region, China's instance of is recorded as scholarly article[2].
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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). Application of a Hybrid CEEMD-LSTM Model Based on the Standardized Precipitation Index for Drought Forecasting: The Case of the Xinjiang Uygur Autonomous Region, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-a-hybrid-ceemd-lstm-model-based-on-the-standardized-precipitation-index-for-drought-forecasting-the-case-
MLA“Application of a Hybrid CEEMD-LSTM Model Based on the Standardized Precipitation Index for Drought Forecasting: The Case of the Xinjiang Uygur Autonomous Region, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-a-hybrid-ceemd-lstm-model-based-on-the-standardized-precipitation-index-for-drought-forecasting-the-case-.
BibTeX@misc{4ortxyz_application-of-a-hybrid-ceemd-lstm-model-based-on-the-standardized-precipitation-index-for-drought-forecasting-the-case-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of a Hybrid CEEMD-LSTM Model Based on the Standardized Precipitation Index for Drought Forecasting: The Case of the Xinjiang Uygur Autonomous Region, China}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-a-hybrid-ceemd-lstm-model-based-on-the-standardized-precipitation-index-for-drought-forecasting-the-case-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of a Hybrid CEEMD-LSTM Model Based on the Standardized Precipitation Index for Drought Forecasting: The Case of the Xinjiang Uygur Autonomous Region, China — https://4ort.xyz/entity/application-of-a-hybrid-ceemd-lstm-model-based-on-the-standardized-precipitation-index-for-drought-forecasting-the-case- (retrieved 2026-05-24)
