Department of Engineering, University of Cambridge, Cambridge, UK
Publisher's note: the paper was adjusted on 23 April 2025. The adjustments included the typo "chloropeth", the incorrect formatting of the matrix K, the text of the caption of table C2, as well as incorrect years given in the captions of tables 4, C1, and C2.
Viewed
Total article views: 3,371 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,793
502
76
3,371
88
99
HTML: 2,793
PDF: 502
XML: 76
Total: 3,371
BibTeX: 88
EndNote: 99
Views and downloads (calculated since 24 Nov 2023)
Cumulative views and downloads
(calculated since 24 Nov 2023)
Total article views: 2,582 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,240
301
41
2,582
57
71
HTML: 2,240
PDF: 301
XML: 41
Total: 2,582
BibTeX: 57
EndNote: 71
Views and downloads (calculated since 18 Nov 2024)
Cumulative views and downloads
(calculated since 18 Nov 2024)
Total article views: 789 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
553
201
35
789
31
28
HTML: 553
PDF: 201
XML: 35
Total: 789
BibTeX: 31
EndNote: 28
Views and downloads (calculated since 24 Nov 2023)
Cumulative views and downloads
(calculated since 24 Nov 2023)
Viewed (geographical distribution)
Total article views: 3,371 (including HTML, PDF, and XML)
Thereof 3,226 with geography defined
and 145 with unknown origin.
Total article views: 2,582 (including HTML, PDF, and XML)
Thereof 2,458 with geography defined
and 124 with unknown origin.
Total article views: 789 (including HTML, PDF, and XML)
Thereof 768 with geography defined
and 21 with unknown origin.
Country
#
Views
%
Country
#
Views
%
Country
#
Views
%
Total:
0
HTML:
0
PDF:
0
XML:
0
1
1
Total:
0
HTML:
0
PDF:
0
XML:
0
1
1
Total:
0
HTML:
0
PDF:
0
XML:
0
1
1
Latest update: 14 Mar 2026
Download
Please read the editorial note first before accessing the article.
This work aims to improve the understanding of precipitation patterns in High-mountain Asia, a crucial water source for around 1.9 billion people. Through a novel machine learning method, we generate high-resolution precipitation predictions, including the likelihoods of floods and droughts. Compared to state-of-the-art methods, our method is simpler to implement and more suitable for small datasets. The method also shows accuracy comparable to or better than existing benchmark datasets.
This work aims to improve the understanding of precipitation patterns in High-mountain Asia, a...
