Department of Earth and Climate Science, Indian Institute of Science Education and Research Pune, Pune, Maharashtra, 411008, India
Department of Data Science, Indian Institute of Science Education and Research Pune, Pune, Maharashtra, 411008, India
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Total article views: 3,208 (including HTML, PDF, and XML)
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PDF: 318
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Supplement: 145
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Views and downloads (calculated since 29 Apr 2025)
Cumulative views and downloads
(calculated since 29 Apr 2025)
Total article views: 1,418 (including HTML, PDF, and XML)
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1,049
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1,418
145
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PDF: 318
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Total: 1,418
Supplement: 145
BibTeX: 46
EndNote: 47
Views and downloads (calculated since 05 Dec 2025)
Cumulative views and downloads
(calculated since 05 Dec 2025)
Total article views: 1,790 (including HTML, PDF, and XML)
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1,783
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7
1,790
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Total: 1,790
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 29 Apr 2025)
Cumulative views and downloads
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Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 3,208 (including HTML, PDF, and XML)
Thereof 3,081 with geography defined
and 127 with unknown origin.
Total article views: 1,418 (including HTML, PDF, and XML)
Thereof 1,294 with geography defined
and 124 with unknown origin.
Total article views: 1,790 (including HTML, PDF, and XML)
Thereof 1,787 with geography defined
and 3 with unknown origin.
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Atmospheric circulation changes contribute significantly to climate projection uncertainty, which is compounded by the limited understanding of how upper-tropospheric circulations influence near-surface events like heatwaves. This study develops a methodology to trace the imprint of upper-tropospheric circulations on the lower-tropospheric energy budget, and introduces a classification system enabling statistical summaries of the energetics that respect underlying circulation patterns.
Atmospheric circulation changes contribute significantly to climate projection uncertainty,...