Enhancing hydrological hazard early warning: a 60 d streamflow forecasting framework integrating deep learning and process-based modeling.
Saved in:
| Title: | Enhancing hydrological hazard early warning: a 60 d streamflow forecasting framework integrating deep learning and process-based modeling. |
|---|---|
| Authors: | Liu, Zhijie1,2 (AUTHOR), Yang, Hanbo1,2 (AUTHOR) yanghanbo@tsinghua.edu.cn, Yang, Dawen1,2 (AUTHOR) |
| Source: | Natural Hazards & Earth System Sciences. 2026, Vol. 26 Issue 5, p2353-2366. 14p. |
| Database: | Environment Complete |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: eih DbLabel: Environment Complete An: 194423107 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Enhancing hydrological hazard early warning: a 60 d streamflow forecasting framework integrating deep learning and process-based modeling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Zhijie%22">Liu, Zhijie</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Hanbo%22">Yang, Hanbo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> yanghanbo@tsinghua.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Dawen%22">Yang, Dawen</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Natural+Hazards+%26+Earth+System+Sciences%22">Natural Hazards & Earth System Sciences</searchLink>. 2026, Vol. 26 Issue 5, p2353-2366. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194423107 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/nhess-26-2353-2026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2353 Titles: – TitleFull: Enhancing hydrological hazard early warning: a 60 d streamflow forecasting framework integrating deep learning and process-based modeling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Zhijie – PersonEntity: Name: NameFull: Yang, Hanbo – PersonEntity: Name: NameFull: Yang, Dawen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15618633 Numbering: – Type: volume Value: 26 – Type: issue Value: 5 Titles: – TitleFull: Natural Hazards & Earth System Sciences Type: main |
| ResultId | 1 |