14 citations · 18 across the 2 of their papers we have counts for
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physics.ao-ph2022★ 14 cited
Climate Change Modelling at Reduced Float Precision with Stochastic Rounding
Tom Kimpson, E. Adam Paxton, Matthew Chantry +1
Reduced precision floating point arithmetic is now routinely deployed in numerical weather forecasting over short timescales. However the applicability of these reduced precision t…
physics.ao-ph2021★ 4 cited
Climate Modelling in Low-Precision: Effects of both Deterministic & Stochastic Rounding
E. Adam Paxton, Matthew Chantry, Milan Klöwer +2
Motivated by recent advances in operational weather forecasting, we study the efficacy of low-precision arithmetic for climate simulations. We develop a framework to measure roundi…