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Littérature scientifique sur le sujet « Global storm-resolving model »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Articles de revues sur le sujet "Global storm-resolving model"

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Lee, Junhong, and Cathy Hohenegger. "Weaker land–atmosphere coupling in global storm-resolving simulation." Proceedings of the National Academy of Sciences 121, no. 12 (2024): 7. https://doi.org/10.1073/pnas.2314265121.

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Abstract The debate on the sign of the soil moisture–precipitation feedback remains open. Onthe one hand, studies using global coarse-resolution climate models have found strongpositive feedback. However, such models cannot represent convection explicitly. Onthe other hand, studies using km-scale regional climate models and explicit convectionhave reported negative feedback. Yet, the large-scale circulation is prescribed in suchmodels. This study revisits the soil moisture–precipitation feedback using global,coupled simulations conducted for 1 y with explicit convection and compare

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Roh, Woosub, Masaki Satoh, Tempei Hashino, Shuhei Matsugishi, Tomoe Nasuno, and Takuji Kubota. "Introduction to EarthCARE synthetic data using a global storm-resolving simulation." Atmospheric Measurement Techniques 16, no. 12 (2023): 3331–44. http://dx.doi.org/10.5194/amt-16-3331-2023.

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Abstract. Pre-launch simulated satellite data are useful to develop retrieval algorithms and to facilitate the rapid release of retrieval products after launch. Here we introduce the Japanese Aerospace Exploration Agency's (JAXA) EarthCARE synthetic data based on simulations using a 3.5 km horizontal-mesh global storm-resolving model. Global aerosol transport simulation results are added for aerosol retrieval developers. Synthetic data were produced corresponding to the four EarthCARE instrument sensors, namely a 94 GHz cloud-profiling radar (CPR), a 355 nm atmospheric lidar (ATLID), a seven-c

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Huang, Xingying, Andrew Gettelman, William C. Skamarock, et al. "Advancing precipitation prediction using a new-generation storm-resolving model framework – SIMA-MPAS (V1.0): a case study over the western United States." Geoscientific Model Development 15, no. 21 (2022): 8135–51. http://dx.doi.org/10.5194/gmd-15-8135-2022.

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Abstract. Global climate models (GCMs) have advanced in many ways as computing power has allowed more complexity and finer resolutions. As GCMs reach storm-resolving scales, they need to be able to produce realistic precipitation intensity, duration, and frequency at fine scales with consideration of scale-aware parameterization. This study uses a state-of-the-art storm-resolving GCM with a nonhydrostatic dynamical core – the Model for Prediction Across Scales (MPAS), incorporated in the atmospheric component (Community Atmosphere Model, CAM) of the open-source Community Earth System Model (CE

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Takasuka, Daisuke, Masaki Satoh, Tomoki Miyakawa, et al. "A protocol and analysis of year‑long simulations of global storm‑resolving models and beyond." Progress in Earth and Planetary Science 11 (December 19, 2024): 66. https://doi.org/10.1186/s40645-024-00668-1.

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Abstract We propose a protocol to evaluate and analyze year-long simulations of global storm-resolving models (GSRMs). The proposed protocol complements an earlier 40-day simulation protocol under the DYAMOND (DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains) project to allow the analysis of the seasonal cycle and associated climatic relevant phenomena. This intercomparison aims to reveal how GSRMs, which can simulate mesoscale convective systems (MCSs) in the global domain, reproduce atmospheric large-scale structures related to convection beyond month-long s

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Fons, Emilie, Ann Kristin Naumann, David Neubauer, Theresa Lang, and Ulrike Lohmann. "Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model." Atmospheric Chemistry and Physics 24, no. 15 (2024): 8653–75. http://dx.doi.org/10.5194/acp-24-8653-2024.

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Abstract. Aerosols can cause brightening of stratocumulus clouds, thereby cooling the climate. Observations and models disagree on the magnitude of this cooling, partly because of the aerosol-induced liquid water path (LWP) adjustment, with climate models predicting an increase in the LWP and satellites observing a weak decrease in response to increasing aerosols. With higher-resolution global climate models, which allow the simulation of mesoscale circulations in which stratocumulus clouds are embedded, there is hope to start bridging this gap. In this study, we present boreal summertime simu

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Judt, Falko. "Atmospheric Predictability of the Tropics, Middle Latitudes, and Polar Regions Explored through Global Storm-Resolving Simulations." Journal of the Atmospheric Sciences 77, no. 1 (2019): 257–76. http://dx.doi.org/10.1175/jas-d-19-0116.1.

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Abstract The predictability of the atmosphere has important implications for weather prediction, because it determines what forecast problems are potentially tractable. Even though our general understanding of error growth and predictability has been increasing, relatively little is known about the detailed structure of atmospheric predictability, such as how it varies between climate regions. The present study addresses this issue by exploring error growth and predictability in three latitude zones, using model output from a previous global storm-resolving predictability experiment by Judt pu

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Schmidt, Hauke, Sebastian Rast, Jiawei Bao, et al. "Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model." Geoscientific Model Development 17, no. 4 (2024): 1563–84. http://dx.doi.org/10.5194/gmd-17-1563-2024.

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Abstract. Global storm-resolving models (GSRMs) use strongly refined horizontal grids compared with the climate models typically used in the Coupled Model Intercomparison Project (CMIP) but employ comparable vertical grid spacings. Here, we study how changes in the vertical grid spacing and adjustments to the integration time step affect the basic climate quantities simulated by the ICON-Sapphire atmospheric GSRM. Simulations are performed over a 45 d period for five different vertical grids with between 55 and 540 vertical layers and maximum tropospheric vertical grid spacings of between 800

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Tang, Boxiang, and T. W. Gallien. "Predicting Compound Coastal Flooding in Embayment-Backed Urban Catchments: Seawall and Storm Drain Implications." Journal of Marine Science and Engineering 11, no. 7 (2023): 1454. http://dx.doi.org/10.3390/jmse11071454.

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Urban coastal flooding is a global humanitarian and socioeconomic hazard. Rising sea levels will increase the likelihood of hydrologic events interacting with high marine water levels. These compound events may, in turn, nonlinearly interact with urban infrastructure, potentially resulting in more extreme coastal flooding events. Here, an integrated Delft3D-FM based numerical modeling framework is used to concomitantly resolve multi-source flood processes (i.e., high marine water levels, precipitation) and infrastructure (e.g., seawalls, storm drains). Hydrodynamic model results are validated

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Fudeyasu, Hironori, Yuqing Wang, Masaki Satoh, Tomoe Nasuno, Hiroaki Miura, and Wataru Yanase. "Multiscale Interactions in the Life Cycle of a Tropical Cyclone Simulated in a Global Cloud-System-Resolving Model. Part II: System-Scale and Mesoscale Processes*." Monthly Weather Review 138, no. 12 (2010): 4305–27. http://dx.doi.org/10.1175/2010mwr3475.1.

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Abstract The life cycle of Tropical Storm Isobel was simulated reasonably well in the Nonhydrostatic Icosahedral Atmospheric Model (NICAM), a global cloud-system-resolving model. The evolution of the large-scale circulation and the storm-scale structure change was discussed in Part I. Both the mesoscale and system-scale processes in the life cycle of the simulated Isobel are documented in this paper. In the preconditioned favorable environment over the Java Sea, mesoscale convective vortices (model MCVs) developed in the mesoscale convective systems (MCSs) and convective towers with cyclonic p

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Popova, E. E., A. C. Coward, G. A. Nurser, B. de Cuevas, and T. R. Anderson. "Mechanisms controlling primary and new production in a global ecosystem model – Part II: The role of the upper ocean short-term periodic and episodic mixing events." Ocean Science 2, no. 2 (2006): 267–79. http://dx.doi.org/10.5194/os-2-267-2006.

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Abstract. The use of 6 h, daily, weekly and monthly atmospheric forcing resulted in dramatically different predictions of plankton productivity in a global 3-D coupled physical-biogeochemical model. Resolving the diurnal cycle of atmospheric variability by use of 6 h forcing, and hence also diurnal variability in UML depth, produced the largest difference, reducing predicted global primary and new production by 25% and 10% respectively relative to that predicted with daily and weekly forcing. This decrease varied regionally, being a 30% reduction in equatorial areas primarily because of increa

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