Deep learning for twelve hour precipitation forecasts

Autor: Lasse Espeholt, Shreya Agrawal, Casper Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Rob Carver, Marcin Andrychowicz, Jason Hickey, Aaron Bell, Nal Kalchbrenner

Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)

Can AI learn from atmospheric data and improve weather forecasting? The neural network MetNet-2 achieves this by forecasting the fast changing variable of precipitation up to 12 h ahead more accurately and efficiently than traditional models based on

Externí odkaz: https://doaj.org/article/3ce233e8b2ea4d9f8ce0eb1005f589c3

Rotationally invariant double pulsed field gradient diffusion imaging

Autor: Sune Nørhøj Jespersen, Henrik Lundell, Casper Sønderby, Tim Dyrby

Publikováno v: Aarhus University
Jespersen, S N, Lundell, H, Sønderby, C & Dyrby, T 2013, ' Rotationally invariant double pulsed field gradient diffusion imaging ', Salt Lake City, United States, 20/04/2013-26/04/2013, .

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::790186b3ef5ec13cfe671d621be9a7f4
https://pure.au.dk/portal/en/publications/rotationally-invariant-double-pulsed-field-gradient-diffusion-imaging(c3cab4f6-b317-4956-a692-dd732128a3d7).html