High‐resolution mapping of daily climate variables by aggregating multiple spatial data sets with the random forest algorithm over the conterminous United States.
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| Title: | High‐resolution mapping of daily climate variables by aggregating multiple spatial data sets with the random forest algorithm over the conterminous United States. |
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| Authors: | Hashimoto, Hirofumi1,2 (AUTHOR) hirofumi.hashimoto@gmail.com, Wang, Weile1,2 (AUTHOR), Melton, Forrest S.1,2 (AUTHOR), Moreno, Adam L.3 (AUTHOR), Ganguly, Sangram2 (AUTHOR), Michaelis, Andrew R.1,2 (AUTHOR), Nemani, Ramakrishna R.2 (AUTHOR) |
| Source: | International Journal of Climatology. May2019, Vol. 39 Issue 6, p2964-2983. 20p. |
| Database: | Environment Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: eih DbLabel: Environment Complete An: 135896423 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: High‐resolution mapping of daily climate variables by aggregating multiple spatial data sets with the random forest algorithm over the conterminous United States. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hashimoto%2C+Hirofumi%22">Hashimoto, Hirofumi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hirofumi.hashimoto@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Weile%22">Wang, Weile</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Melton%2C+Forrest+S%2E%22">Melton, Forrest S.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moreno%2C+Adam+L%2E%22">Moreno, Adam L.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ganguly%2C+Sangram%22">Ganguly, Sangram</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Michaelis%2C+Andrew+R%2E%22">Michaelis, Andrew R.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nemani%2C+Ramakrishna+R%2E%22">Nemani, Ramakrishna R.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Climatology%22">International Journal of Climatology</searchLink>. May2019, Vol. 39 Issue 6, p2964-2983. 20p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=135896423 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/joc.5995 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 2964 Titles: – TitleFull: High‐resolution mapping of daily climate variables by aggregating multiple spatial data sets with the random forest algorithm over the conterminous United States. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hashimoto, Hirofumi – PersonEntity: Name: NameFull: Wang, Weile – PersonEntity: Name: NameFull: Melton, Forrest S. – PersonEntity: Name: NameFull: Moreno, Adam L. – PersonEntity: Name: NameFull: Ganguly, Sangram – PersonEntity: Name: NameFull: Michaelis, Andrew R. – PersonEntity: Name: NameFull: Nemani, Ramakrishna R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 08998418 Numbering: – Type: volume Value: 39 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Climatology Type: main |
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