The Non-hydrostatic Icosahedral Atmospheric Model: description and development

Satoh, Masaki; Tomita, Hirofumi; Yashiro, Hisashi; Miura, Hiroaki; Kodama, Chihiro; Seiki, Tatsuya; Noda, Akira; Yamada, Yohei; Goto, Daisuke; Sawada, Masahiro; Miyoshi, Takemasa; Niwa, Yosuke; Hara, Masayuki; Ohno, Tomoki; Iga, Shin-ichi; Arakawa, Takashi; Inoue, Takahiro; Kubokawa, Hiroyasu

doi:10.1186/s40645-014-0018-1

Cited by 322 publications

(252 citation statements)

References 262 publications

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“…In the present study, NICAM uses Large Scale Condensation (LSC) for the cloud microphysics scheme described by Le Treut and Li (1991) with cumulus parameterization by Chikira and Sugiyama (2010) and Chikira (2010). To model the subgrid scale turbulence of the planetary boundary layer, Mellor-Yamada Nakanishi-Ninno Scheme, level 2 (MYNN2) is used (Satoh et al, 2014). SPRINTARS is developed by Takemura et al (2000) using the framework of atmospheric general circulation model, MIROC (Model for Interdisciplinary Research on Climate).…”

Section: Description Of the Modelmentioning

confidence: 99%

Simulating Long Range Transport of Radioactive Aerosols Using a Global Aerosol Transport Model

Sarkar

Anand

Singh

et al. 2017

Aerosol Air Qual. Res.

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Study of long range transport of radioactive gases and aerosols is necessary to estimate radiological impact to the members of public and environment during nuclear reactor accidents. In the present work, an attempt has been made to employ an atmospheric circulation model that predicts meteorological parameters at the regional and global scales, and a transport model that utilizes these meteorological parameters for the radioactive aerosol dispersion. Non-hydrostatic Icosahedral Atmospheric Model (NICAM) coupled with Spectral Radiation-Transport Model for Aerosol Species (SPRINTARS) is adapted to fulfil this objective, which is used for simulating effects of conventional aerosols on atmospheric pollution and climate system. As an illustrative case study, global simulation is carried out for a horizontal resolution of ~110 km to model the dispersion of radioactive aerosol ( Continuous run of this system will help in predicting the activity concentration in forecast mode, and it may be used for decision support, particularly in the case of long range transport (> 100 km).

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Section: Description Of the Modelmentioning

confidence: 99%

Simulating Long Range Transport of Radioactive Aerosols Using a Global Aerosol Transport Model

Sarkar

Anand

Singh

et al. 2017

Aerosol Air Qual. Res.

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“…The high resolution global non-hydrostatic model, NICAM, also uses a RK-based SE approach (with options for 2nd-or 3rd-order RK schemes) [82,83].…”

Section: Split-explicit Schemesmentioning

confidence: 99%

Current and Emerging Time-Integration Strategies in Global Numerical Weather and Climate Prediction

Mengaldo

Wyszogrodzki

Diamantakis

et al. 2018

Arch Computat Methods Eng

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The continuous partial differential equations governing a given physical phenomenon, such as the Navier-Stokes equations describing the fluid motion, must be numerically discretized in space and time in order to obtain a solution otherwise not readily available in closed (i.e., analytic) form. While the overall numerical discretization plays an essential role in the algorithmic efficiency and physically-faithful representation of the solution, the time-integration strategy commonly is one of the main drivers in terms of cost-to-solution (e.g., time-or energy-to-solution), accuracy and numerical stability, thus constituting one of the key building blocks of the computational model. This is especially true in time-critical applications, including numerical weather prediction (NWP), climate simulations and engineering. This review provides a comprehensive overview of the existing and emerging time-integration (also referred to as time-stepping) practices used in the operational global NWP and climate industry, where global refers to weather and climate simulations performed on the entire globe. While there are many flavors of time-integration strategies, in this review we focus on the most widely adopted in NWP and climate centers and we emphasize the reasons why such numerical solutions were adopted. This allows us to make some considerations on future trends in the field such as the need to balance accuracy in time with substantially enhanced time-to-solution and associated implications on energy consumption and running costs. In addition, the potential for the co-design of time-stepping algorithms and underlying high performance computing hardware, a keystone to accelerate the computational performance of future NWP and climate services, is also discussed in the context of the demanding operational requirements of the weather and climate industry.

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“…We used the output data from three simulations with different resolutions (220, 56, and 14 km), performed with NICAM (Tomita and Satoh 2004;Satoh et al 2008Satoh et al , 2014, which was used for the transport of aerosols and gases (e.g., Niwa et al 2011;Goto et al 2015). Simulations included 78 vertical layers from the surface to ~50 km altitude.…”

Section: Datamentioning

confidence: 99%

Resolution Dependency of Numerically Simulated Stratosphere-to-Troposphere Transport Associated with Mid-Latitude Closed Cyclones in Early Spring around Japan

Yamashita

Takigawa

Ishijima

et al. 2017

SOLA

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The Non-hydrostatic Icosahedral Atmospheric Model: description and development

Cited by 322 publications

References 262 publications

Simulating Long Range Transport of Radioactive Aerosols Using a Global Aerosol Transport Model

Simulating Long Range Transport of Radioactive Aerosols Using a Global Aerosol Transport Model

Current and Emerging Time-Integration Strategies in Global Numerical Weather and Climate Prediction

Resolution Dependency of Numerically Simulated Stratosphere-to-Troposphere Transport Associated with Mid-Latitude Closed Cyclones in Early Spring around Japan

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