most citedStatistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

physics.ao-ph2026

Super-Resolution of Radar/Raingauge-Analyzed Precipitation Using Gaussian Process Regression with a Steering Kernel

Shoichi Akami, Tsuyoshi T. Sekiyama, Mizuo Kajino

Super-resolution (SR), a technique for estimating a high-resolution (HR) image from a low-resolution image, has been used in meteorology for downscaling and resolution enhancement…

physics.ao-ph2020★ 2 cited

Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks

Tsuyoshi Thomas Sekiyama

Deep learning, particularly convolutional neural networks for image recognition, has been recently used in meteorology. One of the promising applications is developing a statistica…