The purpose of the GEWEX Cloud System Study (GCSS; GEWEX is the Global Energy and Water Cycle Experiment) is to develop better parameterizations of cloud systems within climate and numerical weather prediction models, with an emphasis on the climate applications. The strategy of GCSS is to use two distinct kinds of models to analyze and understand observations of the behavior of several differe...

In order to adapt the fast dynamic performances of Buck DC/DC converter, and reduce the influence on converter performance owing to uncertain factors such as the disturbances of parameters and load, a control strategy based on two-dimensional hybrid cloud model is proposed. Firstly, two cloud models corresponding to the specific control inputs are determined by maximum determination approach, r...

Abstract The main energy input to the polar regions in winter is advection of warm, moist air from lower latitudes. This makes climate sensitive temperature and moisture extrapolar air. Here, we study this sensitivity an air-mass transformation perspective. We perform simulations idealized maritime mass brought into contact with sea ice employing a three-dimensional large-eddy simulation model ...

We present results from three-dimensional (3-D) numerical simulations investigating the magnetohydrodynamics of cloud-wind interactions. The initial cloud is spherical while the magnetic field is uniform and transverse to the cloud motion. A simplified analytical model that describes the magnetic energy evolution in front of the cloud is developed and compared with simulation results. In additi...

in this article, the discrete time state space model with first-order autoregressive dependent process noise is considered and the recursive method for filtering, prediction and smoothing of the hidden state from the noisy observation is designed. the explicit solution is obtained for the hidden state estimation problem. finally, in a simulation study, the performance of the designed method ...

We have investigated the time scale for formation of molecular clouds by examining the conversion of HI to H2 using a time–dependent model which includes H2 photodissociation with rate dependent on dust extinction and self shielding. H2 formation on dust grains and cosmic ray destruction are also included in one–dimensional model slab clouds which incorporate time–independent density and temper...

The aim of this new project is to develop an aerosol/cloud microphysics parameterization of mixed-phase stratus and boundary layer clouds. Our approach is to create, test, and implement a bulk-microphysics/aerosol model using data from Atmospheric Radiation Measurement (ARM) Cloud and Radiation Testbed (CART) sites and large-eddy simulation (LES) explicit bin-resolving aerosol/microphysics mode...

For decades, in diffusion cloud chambers, different types of subatomic particle tracks from radioactive sources or cosmic radiation had to be identified with the naked eye which limited amount data that could processed. In order allow these classical detectors enter digital era, we successfully developed a neuro-explicit artificial intelligence model that, given an image chamber, automatically ...