‘Super-Parameterization’ – a Better Way to Simulate Regional Extreme Precipitation?
Journal of Advances in Modeling Earth Systems, 2012 Extreme precipitation is generally underestimated by current climate models relative to observations of present-day rainfall distributions. Possible causes of this systematic error include the convective parameterization in these models that have been ...
Michael F. Wehner +3 more
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Non-Linear Dimensionality Reduction With a Variational Encoder Decoder to Understand Convective Processes in Climate Models. [PDF]
J Adv Model Earth Syst, 2022 Behrens G +5 more
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Journal of Advances in Modeling Earth SystemsWhile low‐resolution climate models at present struggle to appropriately simulate convectively coupled large‐scale atmospheric disturbances such as equatorial Kelvin waves (EKWs), superparameterization helps better reproduce such phenomena.
K. Yamazaki, H. Miura
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The Impact of Simulated Mesoscale Convective Systems on Global Precipitation: A Multiscale Modeling Study [PDF]
The importance of precipitating mesoscale convective systems (MCSs) has been quantified from TRMM precipitation radar and microwave imager retrievals. MCSs generate more than 50% of the rainfall in most tropical regions.
Chern, Jiun-Dar, Tao, Wei-Kuo
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Simulation of Boundary-Layer Cumulus and Stratocumulus Clouds using a Cloud-Resolving Model With Low- and Third-Order Turbulence Closures [PDF]
, 2007 The effects of subgrid-scale condensation and transport become more important as the grid spacings increase from those typically used in large-eddy simulation (LES) to those typically used in cloud-resolving models (CRMs).
Cheng, Anning, Xu, Kuan-Man
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Effects of explicit convection on global land‐atmosphere coupling in the superparameterized CAM
Journal of Advances in Modeling Earth Systems, 2016 AbstractConventional global climate models are prone to producing unrealistic land‐atmosphere coupling signals. Cumulus and convection parameterizations are natural culprits but the effect of bypassing them with explicitly resolved convection on global land‐atmosphere coupling dynamics has not been explored systematically.
Sun, Jian, Pritchard, Michael S
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Journal of Climate, 2015 Abstract Projections of the hydrological cycle over the southeastern United States are compared between CCSM4 and the superparameterized model (SP-CCSM4). Under the extreme forcing of the representative concentration pathway 8.5 (RCP8.5) climate change scenario, in Virginia, North Carolina, South Carolina, and Kentucky, SP-CCSM4 projects
Xiaojie Zhu, Cristiana Stan
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Regional superparameterization of the OpenIFS atmosphere model by nesting 3D LES models
, 2019 We present a superparameterization of the ECMWF global weather forecasting model OpenIFS with a local, cloud-resolving model. Superparameterization is a multiscale modeling approach used in atmospheric science in which conventional parameterizations of small-scale processes are replaced by local high-resolution models that resolve these processes. Here,
van den Oord, Gijs +5 more
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Changes in Tropical Clouds and Atmospheric Circulation Associated with Rapid Adjustment Induced by Increased Atmospheric CO2 A Multiscale Modeling Framework Study [PDF]
The radiative heating increase due to increased CO2 concentration is the primary source for the rapid adjustment of atmospheric circulation and clouds.
Cheng, Anning +3 more
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Changing Degree of Convective Organization as a Mechanism for Dynamic Changes in Extreme Precipitation. [PDF]
Curr Clim Change Rep, 2020 Pendergrass AG.
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