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Huge ensembles – Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators.

• Authors : Mahesh, Ankur^1,2 (AUTHOR) ; Collins, William D.^1,2 (AUTHOR); Bonev, Boris³ (AUTHOR)

• Source: Geoscientific Model Development. 2025, Vol. 18 Issue 17, p5575-5603. 29p.

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Advances and prospects of deep learning for medium-range extreme weather forecasting

• Authors : Olivetti, Leonardo; Messori, Gabriele, 1988

• Source: Geoscientific Model Development. 17(6):2347-2358

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Impact of spatial resolution on multi-scenario WRF-ARW simulations driven by the CMIP6 MPI-ESM1-2-HR global model: a focus on precipitation distribution over Italy.

• Authors : Struglia, Maria Vittoria^1,2 (AUTHOR) ; Anav, Alessandro^1,2 (AUTHOR); Antonelli, Marta² (AUTHOR)

• Source: Geoscientific Model Development. 2025, Vol. 18 Issue 18, p6095-6116. 22p.

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Towards deep-learning solutions for classification of automated snow height measurements (CleanSnow v1.0.2).

• Authors : Svoboda, Jan¹ (AUTHOR) ; Ruesch, Marc¹ (AUTHOR); Liechti, David¹ (AUTHOR)

• Source: Geoscientific Model Development. 2025, Vol. 18 Issue 5, p1829-1849. 21p.

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ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather

• Authors : Prabhat; Kashinath, Karthik; Mudigonda, Mayur

Subjects: 37 Earth Sciences (for-2020); 3701 Atmospheric Sciences (for-2020); Networking and Information Technology R&D (NITRD) (rcdc)

• Source: Geoscientific Model Development. 14(1)

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Do data-driven models beat numerical models in forecasting weather extremes? A comparison of IFS HRES, Pangu-Weather, and GraphCast.

• Authors : Olivetti, Leonardo^1,2,3 (AUTHOR) ; Messori, Gabriele^1,3,4 (AUTHOR)

• Source: Geoscientific Model Development. 2024, Vol. 17 Issue 21, p7915-7962. 48p.

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Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning.

• Authors : Han, Daehyeon¹ (AUTHOR); Im, Jungho¹ (AUTHOR) ; Shin, Yeji^2,3 (AUTHOR)

• Source: Geoscientific Model Development. 2023, Vol. 16 Issue 20, p5895-5914. 20p.

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Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators.

• Authors : Mahesh, Ankur; D. Collins, William; Bonev, Boris

Subjects: EXTREME weather; WEATHER forecasting; FORECASTING

• Source: Geoscientific Model Development; 2025, Vol. 18 Issue 17, p5605-5633, 29p

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Differentiable programming for Earth system modeling.

• Authors : Gelbrecht, Maximilian^1,2 (AUTHOR) ; White, Alistair^1,2 (AUTHOR); Bathiany, Sebastian^1,2 (AUTHOR)

• Source: Geoscientific Model Development. 2023, Vol. 16 Issue 11, p3123-3135. 13p.

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Impact of horizontal resolution and model time step on European precipitation extremes in the OpenIFS 43r3 atmospheric model.

• Authors : Liu, Yingxue^1,2 (AUTHOR) ; Kjellsson, Joakim^1,2 (AUTHOR); Savita, Abhishek² (AUTHOR)

• Source: Geoscientific Model Development. 2025, Vol. 18 Issue 17, p5435-5449. 15p.

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