Results 11 to 20 of about 1,778 (188)
Accelerating Subcutaneous Drug Development: A Mechanistic Absorption Model for the Open Systems Pharmacology Framework. [PDF]
ABSTRACT This study describes the implementation of a mechanistic subcutaneous (SC) injection model for the Open Systems Pharmacology platform. As the SC route of administration is gaining increased popularity, there is a growing need for tools to predict, analyze, and understand the SC absorption process and the mechanisms involved.
Pellowe M, Dubbelboer I, Sjögren E.
europepmc +2 more sources
The Qinghai-Xizang (Tibetan) Plateau is known as the Asian water tower.The change of its water resources has an important impact on the weather and climate in the lower reaches.Precipitation is a key role in the water cycle.Therefore, it is of great ...
Ying CHEN +4 more
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A Moist Physics Parameterization Based on Deep Learning
Current moist physics parameterization schemes in general circulation models (GCMs) are the main source of biases in simulated precipitation and atmospheric circulation.
Yilun Han +3 more
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The research network “Basic Concepts for Convection Parameterization in Weather Forecast and Climate Models” was organized with European funding (COST Action ES0905) for the period of 2010–2014.
Jun–Ichi Yano +11 more
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Mesoscale organization of convection is typically not represented in global circulation models, and hence its influence on the global circulation is not accounted for. The heating component of a parameterization that represents the dynamical and physical
C.‐C. Chen +7 more
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The previously proposed parameterization for the integrated vertical overlap of cumulus and stratus is generalized to handle both conventional exponential‐random stratus overlap and nonconventional (i.e., other than exponential‐random) cumulus overlap in
Sungsu Park +3 more
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A commonly noted problem in the simulation of warm season convection in the North American monsoon region has been the inability of atmospheric models at the meso-β scales (10 s to 100 s of kilometers) to simulate organized convection, principally ...
Thang M. Luong +4 more
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Parameterization of Stochastically Entraining Convection Using Machine Learning Technique
A stochastic mixing model with a machine learning technique is proposed for mass flux convection schemes. The model consists of the stochastic differential equations (SDEs) for the fractional entrainment rate, fractional detrainment rate, fractional ...
Jihoon Shin, Jong‐Jin Baik
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Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations
Convection is usually parameterized in global climate models, and there are often large discrepancies between results obtained with different convection schemes.
Y. L. Hwong +10 more
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Evaluating a lightning parameterization based on cloud-top height for mesoscale numerical model simulations [PDF]
The Price and Rind lightning parameterization based on cloud-top height is a commonly used method for predicting flash rate in global chemistry models.
J. Wong, M. C. Barth, D. Noone
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