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. 2023 Jul 5;619(7970):526–532. doi: 10.1038/s41586-023-06184-4

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — NowcastNet is able to predict the convective-fine-line evolutions and details for a longer time period. a, Geographic context for the predictions. b, A single prediction at T + 1 h, T + 2 h and T + 3 h lead times for different models. c, CSI neighbourhood at thresholds 16 mm h⁻¹ and 32 mm h⁻¹. d, PSD at different wavelengths. Images are zoomed in 768 km × 768 km to highlight local details. Precipitation data obtained from the MRMS²⁶ dataset and maps produced with cartopy and Natural Earth.

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