Global assessment of spatiotemporal variability of wet, normal and dry conditions using multiscale entropy-based approach. | Sci Rep;12(1): 9767, 2022 06 13. | MEDLINE

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Global assessment of spatiotemporal variability of wet, normal and dry conditions using multiscale entropy-based approach.

Sreeparvathy, Vijay; Srinivas, V V.

Affiliation

Sreeparvathy V; Department of Civil Engineering, Indian Institute of Science, Bangalore, 560 012, India. sreeparvathy@iisc.ac.in.
Srinivas VV; Department of Civil Engineering, Indian Institute of Science, Bangalore, 560 012, India.

Sci Rep ; 12(1): 9767, 2022 06 13.

Article in En | MEDLINE | ID: mdl-35697830

Subject(s)

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change Limits: Humans Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: India Country of publication: Reino Unido

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change Limits: Humans Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: India Country of publication: Reino Unido