“Big data assimilation” toward post-petascale severe weather prediction: An overview and progress

T Miyoshi, GY Lien, S Satoh, T Ushio… - Proceedings of the …, 2016 - ieeexplore.ieee.org
Following the invention of the telegraph, electronic computer, and remote sensing,“big data”
is bringing another revolution to weather prediction. As sensor and computer technologies …

Techniques and challenges in the assimilation of atmospheric water observations for numerical weather prediction towards convective scales

RN Bannister, HG Chipilski… - Quarterly Journal of …, 2020 - Wiley Online Library
While contemporary numerical weather prediction models represent the large‐scale
structure of moist atmospheric processes reasonably well, they often struggle to maintain …

[HTML][HTML] Assimilating all-sky Himawari-8 satellite infrared radiances: A case of Typhoon Soudelor (2015)

T Honda, T Miyoshi, GY Lien… - Monthly Weather …, 2018 - journals.ametsoc.org
Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015)
in: Monthly Weather Review Volume 146 Issue 1 (2018) Jump to Content Jump to Main …

Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations

S Nishizawa, H Yashiro, Y Sato… - Geoscientific Model …, 2015 - gmd.copernicus.org
We examine the influence of the grid aspect ratio of horizontal to vertical grid spacing on
turbulence in the planetary boundary layer (PBL) in a large-eddy simulation (LES). In order …

Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model

Y Sato, D Goto, T Michibata, K Suzuki… - Nature …, 2018 - nature.com
Aerosols affect climate by modifying cloud properties through their role as cloud
condensation nuclei or ice nuclei, called aerosol–cloud interactions. In most global climate …

[HTML][HTML] A model intercomparison of atmospheric 137Cs concentrations from the Fukushima Daiichi Nuclear Power Plant accident, phase III: Simulation with an …

Y Sato, TT Sekiyama, S Fang, M Kajino… - Atmospheric …, 2020 - Elsevier
The third model intercomparison project (MIP) for investigating the atmospheric behavior of
atmospheric caesium-137 (137 Cs) emitted from Fukushima Daiichi Nuclear Power Plant …

Model Intercomparison of Atmospheric 137Cs From the Fukushima Daiichi Nuclear Power Plant Accident: Simulations Based on Identical Input Data

Y Sato, M Takigawa, TT Sekiyama… - Journal of …, 2018 - Wiley Online Library
A model intercomparison of the atmospheric dispersion of cesium‐137 (137Cs) emitted after
the Fukushima Daiichi Nuclear Power Plant accident in Japan was conducted to understand …

Assimilation of Himawari‐8 all‐sky radiances every 10 minutes: Impact on precipitation and flood risk prediction

T Honda, S Kotsuki, GY Lien, Y Maejima… - Journal of …, 2018 - Wiley Online Library
Japan's new geostationary satellite “Himawari‐8” enables updating precipitation and flood
predictions as frequently as every 10 min and to capture as early as possible the flood risk …

A convective‐scale 1,000‐member ensemble simulation and potential applications

T Necker, S Geiss, M Weissmann, J Ruiz… - Quarterly Journal of …, 2020 - Wiley Online Library
This study presents the first convective‐scale 1,000‐member ensemble simulation over
central Europe, which provides a unique data set for various applications. A comparison with …

Predicting the morphology of ice particles in deep convection using the super-droplet method: Development and evaluation of SCALE-SDM 0.2. 5-2.2. 0,-2.2. 1, and …

S Shima, Y Sato, A Hashimoto… - Geoscientific Model …, 2020 - gmd.copernicus.org
The super-droplet method (SDM) is a particle-based numerical scheme that enables
accurate cloud microphysics simulation with lower computational demand than multi …