Adaptive ensemble weighting for GCMs to enhance future drought characterization under various climate change scenarios.

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Title: Adaptive ensemble weighting for GCMs to enhance future drought characterization under various climate change scenarios.
Authors: Shakeel, Muhammad1 (AUTHOR) 3520235796373@pu.edu.pk, Abbas, Hussnain1 (AUTHOR) hussnain608@gmail.com, Waseem, Ayesha1 (AUTHOR) ayesha.res.stat@pu.edu.pk, Ali, Zulfiqar1 (AUTHOR) zulfiqar.stat@pu.edu.pk
Source: Theoretical & Applied Climatology. May2025, Vol. 156 Issue 5, p1-20. 20p.
Database: Environment Complete
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  Data: Adaptive ensemble weighting for GCMs to enhance future drought characterization under various climate change scenarios.
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  Data: <searchLink fieldCode="AR" term="%22Shakeel%2C+Muhammad%22">Shakeel, Muhammad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 3520235796373@pu.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Abbas%2C+Hussnain%22">Abbas, Hussnain</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hussnain608@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Waseem%2C+Ayesha%22">Waseem, Ayesha</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ayesha.res.stat@pu.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Ali%2C+Zulfiqar%22">Ali, Zulfiqar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zulfiqar.stat@pu.edu.pk</i>
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  Data: <searchLink fieldCode="JN" term="%22Theoretical+%26+Applied+Climatology%22">Theoretical & Applied Climatology</searchLink>. May2025, Vol. 156 Issue 5, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=185710172
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00704-025-05516-w
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      – Code: eng
        Text: English
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      – TitleFull: Adaptive ensemble weighting for GCMs to enhance future drought characterization under various climate change scenarios.
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            NameFull: Shakeel, Muhammad
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            NameFull: Abbas, Hussnain
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            NameFull: Waseem, Ayesha
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              Text: May2025
              Type: published
              Y: 2025
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              Value: 156
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