How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates.
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| Title: | How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates. |
|---|---|
| Authors: | Scarsi, Filippo Emilio1,2 (AUTHOR) filippo.scarsi@polito.it, Battaglia, Alessandro2,3 (AUTHOR), Maahn, Maximilian4 (AUTHOR), Lhermitte, Stef5,6 (AUTHOR) |
| Source: | Cryosphere. 2025, Vol. 19 Issue 10, p4875-4892. 18p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 189179287 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189179287 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/tc-19-4875-2025 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 4875 Titles: – TitleFull: How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Scarsi, Filippo Emilio – PersonEntity: Name: NameFull: Battaglia, Alessandro – PersonEntity: Name: NameFull: Maahn, Maximilian – PersonEntity: Name: NameFull: Lhermitte, Stef IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19940416 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: Cryosphere Type: main |
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