A global cloud‐resolving simulation: Preliminary results from an aqua planet experiment

By Hirofumi Tomita, Hiroaki Miura, Shin-ichi Iga, Tomoe Nasuno, Masaki Satoh. 2005

240 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/68bccaaa06fad465a2bb8052bb3d4ab4e044b9f1

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Citations in the corpus

Multiscale Convective Organization and the YOTC Virtual Global Field Campaign (2012, methodology): “9 is a snapshot of the distribution of cloud simulated by the world’s first such model, the Nonhydrostatic Icosahedral Atmospheric Model (NICAM), in this case with a 7-km grid, although the NICAM has also been run with a 3.5-km grid (Tomita et al. 2005; Nasuno et al. 2007; Satoh et al. 2008).”
The pros and cons of diffusion, filters and fixers in Atmospheric General Circulation Models (2011, methodology): “, demonstrated by Váňa et al. (2008) who used the damping abilities of interpolations in a semi-Lagrangian scheme as targeted diffusive filtering.”
Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model (2013, background): “While global cloud-resolving models (Tomita et al. 2005; Miura et al. 2005) and so-called superparameterized GCMs (Khairoutdinov et al. 2005) are emerging, it appears that conventionally parameterized GCMs will remain as the computational feasible route in performing century-long global climate…”
Convectively coupled equatorial waves (2009, background): “[104] Recently, short-duration CRM runs have been done using global domains [e.g., Tomita et al., 2005; Nasuno et al., 2008].”
Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection (2008, background): “The emergence of convection permitting simulations in both global climate (Tomita et al. 2005) and numerical weather prediction models∗ is contributing to a shift in emphasis away from convective parameterization and toward cloud-microphysical parameterizations and boundary layer processes.”
Importance of the mixed-phase cloud distribution in the control climate for assessing the response of clouds to carbon dioxide increase: a multi-model study (2006, methodology): “The Hadley Centre climate model (HadSM4) described in Webb et al. (2001) is a development version of HadSM3 (Pope et al.”
Evaluation of the Simulated Interannual and Subseasonal Variability in an AMIP-Style Simulation Using the CSU Multiscale Modeling Framework (2008, unknown): “In this sense, MMF is regarded as a bridge between the conventional GCMs and the immensely more computationally expensive global CRMs that have just recently been applied for short global simulations (Tomita et al. 2005; Miura et al. 2005).”
High-Resolution Climate Simulations Using GFDL HiRAM with a Stretched Global Grid (2016, methodology): “Blackburn et al. 2013) and is done to ensure a large sample of tropical cyclones to test the model. The performance of HiRAM in standardized comparisons between aquaplanet models can be seen in Blackburn et al. (2013) and Williamson et al. (2013). Characteristics of HiRAM’s tropical wave activity an”
Nonhydrostatic icosahedral atmospheric model (NICAM) for global cloud resolving simulations (2008, methodology): “We may regard this as the tropical counterpart of extra-tropical cyclones (baroclinic waves) because both of these appear spontaneously in idealized numerical experiments [80,52].”
Comparison of Bulk and Bin Warm-Rain Microphysics Models Using a Kinematic Framework (2007, background): “For climate, convectionresolving modeling of atmospheric general circulation is in its infancy, with the first global CRM simulation (only 10 days long) recently completed in Japan (Tomita et al. 2005).”
The mesoscale convection life cycle: building block or prototype for large-scale tropical waves? (2006, unknown): “Such a range of scales has been computationally affordable in two-dimensional simulations for several years (Grabowski, 1998), and is now becoming feasible in 3D (Shutts, 2006; Tomita et al., 2005).”
DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (2019, methodology): “FV3 and GEOS5 share a dynamical core based on a cubed sphere, NICAM and ICON use an icosahedral grid as a starting point for their discretization, and MPAS employs spherical centroidal Voronoi tessellation.”
The Non-hydrostatic Icosahedral Atmospheric Model: description and development (2014, methodology): “When the model was first developed by Tomita et al. (2005), NICAM was capable of producing a global simulation with horizontal grid spacing of 3.5 km.”