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Akademický článek

Downscaling precipitation over High-mountain Asia using multi-fidelity Gaussian processes: improved estimates from ERA5

Autor: K. Tazi, A. Orr, J. Hernandez-González, S. Hosking, R. E. Turner

Publikováno v: Hydrology and Earth System Sciences, Vol 28, Pp 4903-4925 (2024)

The rivers of High-mountain Asia provide freshwater to around 1.9 billion people. However, precipitation, the main driver of river flow, is still poorly understood due to limited in situ measurements in this area. Existing tools to interpolate these

Externí odkaz: https://doaj.org/article/388979216f594986b5f1316ac6f3a645

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Akademický článek

Laser pulse-length dependent ablation and shock generation in silicon at 5×10^{14} W/cm^{2} intensities

Autor: M. Bailly-Grandvaux, E. N. Hahn, T. R. Joshi, K. Werellapatha, T. Cordova, R. E. Turner, J. E. Garay, R. B. Spielman, J. K. Wicks, F. N. Beg

Publikováno v: Physical Review Research, Vol 6, Iss 3, p 033053 (2024)

The effect of laser pulse duration on energy coupling into a planar silicon target is investigated in experiments at the OMEGA-EP facility by varying the laser pulse length τ—spanning 3 orders of magnitude from 100 ps to 10 ns—while maintaining

Externí odkaz: https://doaj.org/article/83a4830dab9c4a228b48cc9ca8a6c447

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Akademický článek

Convolutional conditional neural processes for local climate downscaling

Autor: A. Vaughan, W. Tebbutt, J. S. Hosking, R. E. Turner

Publikováno v: Geoscientific Model Development, Vol 15, Pp 251-268 (2022)

A new model is presented for multisite statistical downscaling of temperature and precipitation using convolutional conditional neural processes (convCNPs). ConvCNPs are a recently developed class of models that allow deep-learning techniques to be a

Externí odkaz: https://doaj.org/article/badac3762bbb42fa8872cbd7fed98ea3

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