View in EDS HTML Full Text PDF Full Text

Disentangling key cloud properties for precipitation retrievals from geostationary satellite data using machine learning.

Saved in:
Bibliographic Details
Title: Disentangling key cloud properties for precipitation retrievals from geostationary satellite data using machine learning.
Authors: Choi, Hwayon1 (AUTHOR), Choi, Yong-Sang1 (AUTHOR) ysc@ewha.ac.kr, Ho, Chang-Hoi1 (AUTHOR), Kim, Jinwon1 (AUTHOR)
Source: PLoS Climate. 3/30/2026, Vol. 5 Issue 3, p1-17. 17p.
Database: Environment Complete
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: eih
DbLabel: Environment Complete
An: 192634265
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Disentangling key cloud properties for precipitation retrievals from geostationary satellite data using machine learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Choi%2C+Hwayon%22">Choi, Hwayon</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Choi%2C+Yong-Sang%22">Choi, Yong-Sang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ysc@ewha.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Ho%2C+Chang-Hoi%22">Ho, Chang-Hoi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Jinwon%22">Kim, Jinwon</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22PLoS+Climate%22">PLoS Climate</searchLink>. 3/30/2026, Vol. 5 Issue 3, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=192634265
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pclm.0000860
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1
    Titles:
      – TitleFull: Disentangling key cloud properties for precipitation retrievals from geostationary satellite data using machine learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Choi, Hwayon
      – PersonEntity:
          Name:
            NameFull: Choi, Yong-Sang
      – PersonEntity:
          Name:
            NameFull: Ho, Chang-Hoi
      – PersonEntity:
          Name:
            NameFull: Kim, Jinwon
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 30
              M: 03
              Text: 3/30/2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 27673200
          Numbering:
            – Type: volume
              Value: 5
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: PLoS Climate
              Type: main
ResultId 1