Norwegian Computing Center, P.O.Box 114 Blindern, Oslo, 0314, Norway
Alex Lenkoski
Norwegian Computing Center, P.O.Box 114 Blindern, Oslo, 0314, Norway
Viewed
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: 1,818 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,789
0
29
1,818
0
0
HTML: 1,789
PDF: 0
XML: 29
Total: 1,818
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 13 Oct 2025)
Cumulative views and downloads
(calculated since 13 Oct 2025)
Total article views: 1,818 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,789
0
29
1,818
0
0
HTML: 1,789
PDF: 0
XML: 29
Total: 1,818
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 13 Oct 2025)
Cumulative views and downloads
(calculated since 13 Oct 2025)
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: 1,818 (including HTML, PDF, and XML)
Thereof 1,811 with geography defined
and 7 with unknown origin.
Total article views: 1,818 (including HTML, PDF, and XML)
Thereof 1,811 with geography defined
and 7 with unknown origin.
A variety of real-world applications require estimates of historical weather from anywhere on Earth. The best available data products, such as ERA5, often capture large-scale weather patterns well, but struggle to capture local weather behaviour. We propose a simple and fast statistical method that takes in ERA5 weather and outputs improved simulations of local weather. The method is shown to improve local representations of historical daily temperature and precipitation all over Europe.
A variety of real-world applications require estimates of historical weather from anywhere on...