Enhancing satellite based precipitation estimates through robust merging frameworks and streamlined ensemble machine learning model development.
Saved in:
| Title: | Enhancing satellite based precipitation estimates through robust merging frameworks and streamlined ensemble machine learning model development. |
|---|---|
| Authors: | Rahimpour, Morteza1,2 (AUTHOR) Morteza.Rahimpour@inrs.ca, Rahimzadegan, Majid1 (AUTHOR) rahimzadegan@kntu.ac.ir, Ouarda, Taha B. M. J.2 (AUTHOR) taha.ouarda@inrs.ca, Homayouni, Saeid2 (AUTHOR) Saeid.Homayouni@inrs.ca |
| Source: | Applied Water Science. Apr2026, Vol. 16 Issue 4, p1-21. 21p. |
| 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: 192924545 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Enhancing satellite based precipitation estimates through robust merging frameworks and streamlined ensemble machine learning model development. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rahimpour%2C+Morteza%22">Rahimpour, Morteza</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> Morteza.Rahimpour@inrs.ca</i><br /><searchLink fieldCode="AR" term="%22Rahimzadegan%2C+Majid%22">Rahimzadegan, Majid</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rahimzadegan@kntu.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Ouarda%2C+Taha+B%2E+M%2E+J%2E%22">Ouarda, Taha B. M. J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> taha.ouarda@inrs.ca</i><br /><searchLink fieldCode="AR" term="%22Homayouni%2C+Saeid%22">Homayouni, Saeid</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> Saeid.Homayouni@inrs.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Water+Science%22">Applied Water Science</searchLink>. Apr2026, Vol. 16 Issue 4, p1-21. 21p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=192924545 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13201-026-02775-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Titles: – TitleFull: Enhancing satellite based precipitation estimates through robust merging frameworks and streamlined ensemble machine learning model development. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rahimpour, Morteza – PersonEntity: Name: NameFull: Rahimzadegan, Majid – PersonEntity: Name: NameFull: Ouarda, Taha B. M. J. – PersonEntity: Name: NameFull: Homayouni, Saeid IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 21905487 Numbering: – Type: volume Value: 16 – Type: issue Value: 4 Titles: – TitleFull: Applied Water Science Type: main |
| ResultId | 1 |