Results 21 to 30 of about 190 (113)
SUPERPARAMETERIZATION OF LOW-TEMPERATURE VIBRATIONAL DATA FOR LANTHANIDE HEXAHALIDE ANIONS
A complete dataset is presented for the modes of vibration of LnCl63- in CsNaLnCl6, from low temperature Raman and vibronic spectroscopy. Conventional force constant calculations with this dataset are unsatisfactory since, although the datafits are quite
TANNER, P +3 more
core +2 more sources
The potential scope of superparameterization (SP) was extended to higher resolutions of the global climate model (GCM) component by devising a technique called blockwise coupling.
K. Yamazaki, H. Miura
doaj +2 more sources
While 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
doaj +2 more sources
Predictive Proxies of Present and Future Lightning in a Superparameterized Model [PDF]
AbstractA superparameterized climate model is used to assess the global performance of several previously proposed proxies for lightning. In particular, predictors incorporating hydrometeor (ice, graupel) profiles and convective vertical velocities are compared to observations, then used to estimate changes in flash rates with global warming.
Alexander B. Charn, Hossein Parishani
openaire +1 more source
Efficient stochastic superparameterization for geophysical turbulence [PDF]
Efficient computation of geophysical turbulence, such as occurs in the atmosphere and ocean, is a formidable challenge for the following reasons: the complex combination of waves, jets, and vortices; significant energetic backscatter from unresolved small scales to resolved large scales; a lack of dynamical scale separation between large ...
Grooms, Ian, Majda, Andrew J.
openaire +3 more sources
Potential Predictability of the Madden‐Julian Oscillation in a Superparameterized Model
The Madden‐Julian Oscillation (MJO) is a promising target for improving sub‐seasonal weather forecasts. Current forecast models struggle to simulate the MJO due to imperfect convective parameterizations and mean state biases, degrading their forecast ...
Sarah Weidman, Zhiming Kuang
doaj +1 more source
In this study, the Superparameterized Community Atmosphere Model (SPCAM) is used to simulate tropical cyclones (TCs) using the hindcast approach. Three hindcast experiments are conducted with 32‐km (D32), 128‐km (D128), and 1,024‐km (D1024) horizontal ...
Kuan‐Ting Kuo +2 more
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We design a new strategy to load‐balance high‐intensity sub‐grid atmospheric physics calculations restricted to a small fraction of a global climate simulation's domain.
Liran Peng +5 more
doaj +1 more source
Superparameterized (SP) global climate models have been shown to better simulate various features of precipitation relative to conventional models, including its diurnal cycle as well as its extremes.
Alexander B. Charn +4 more
doaj +1 more source
Understanding the Response of Tropical Ascent to Warming Using an Energy Balance Framework
Previous work has established that warming is associated with an increase in dry static stability, a weakening of the tropical circulation, and a decrease in the convective mass flux.
A. M. Jenney +2 more
doaj +1 more source

