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Forecasting seeing for the Maunakea observatories with machine learning.

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Bibliographic Details
Title: Forecasting seeing for the Maunakea observatories with machine learning.
Authors: Cherubini, Tiziana1, tiziana@hawaii.edu, Lyman, Ryan2, Businger, Steven1
Source: Monthly Notices of the Royal Astronomical Society; Jan2022, Vol. 509 Issue 1, p232-245, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 154542503
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Forecasting seeing for the Maunakea observatories with machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Cherubini%2C+Tiziana%22">Cherubini, Tiziana</searchLink><relatesTo>1</relatesTo>, <i>tiziana@hawaii.edu</i><br /><searchLink fieldCode="AU" term="%22Lyman%2C+Ryan%22">Lyman, Ryan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Businger%2C+Steven%22">Businger, Steven</searchLink><relatesTo>1</relatesTo>
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/mnras/stab2916
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 232
    Titles:
      – TitleFull: Forecasting seeing for the Maunakea observatories with machine learning.
        Type: main
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          Name:
            NameFull: Cherubini, Tiziana
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            NameFull: Lyman, Ryan
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            NameFull: Businger, Steven
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            – D: 01
              M: 01
              Text: Jan2022
              Type: published
              Y: 2022
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              Value: 509
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            – TitleFull: Monthly Notices of the Royal Astronomical Society
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