The most practical methods to predict climate change are global models (GCMs). This research set out evaluate the ability of 19 GCMs from Coupled Model Intercomparison Project 6 (CMIP6) reproduce historical precipitation, maximum, and minimum temperature (Pr, Tmx, Tmn) prediction center data for Amu Darya river basin (ADRB), as well project using chosen GCMs. Kling-Gupta efficiency (KGE) metric...

Abstract. All current global climate models (GCMs) utilize only grid-averaged surface heat fluxes to drive the atmosphere, and thus their subgrid horizontal variations partitioning are absent. This can result in many simulation biases. To address this shortcoming, a novel parameterization scheme considering of sensible latent atmosphere associated is developed implemented into National Center f...

This study is a part of the Atmospheric Radiation Measurement (ARM) Program single-column model (SCM) intercomparison project, which compares the performance of various SCMs and cloud ensemble models (CEMs) with ARM intensive observation period (IOP) data sets. The goal of this project is to improve the representations of cloud formative/dissipative processes in general circulation models (GCMs...

Arctic stratus clouds (ASC) are important modulators of global climate. Through interaction with radiation, they have an important influence on the surface fluxes of heat, moisture and momentum in the boundary layer. Due to lack of properly understanding the clouds formation and their interactions with radiation, ASC are currently not realistically simulated by general circulation models (GCMs)...

Phase plots of coupled maps have shown turbulent, semi-ordered, intermittent and ordered behaviour as a function of control parameters for networks of uniform scale. We investigate the dependence of coupled map dynamics on scale, i.e. number of neurons. We compare results for globally coupled maps (GCMs) and ones with minor lesions, employing a new chaotic function that we propose. The behaviou...

To identify promising exoplanets for atmospheric characterization and to make the best use of observational data, a thorough understanding their atmospheres is needed. 3D general circulation models (GCMs) are one most comprehensive tools available this task will be used interpret observations temperate rocky exoplanets. Due parameterization choices made in GCMs, they can produce different resul...

Global Climate Models (GCMs) exhibit substantial biases in their simulation of tropical climate. One particularly problematic bias exists GCMs' the rainband known as Intertropical Convergence Zone (ITCZ). Much precipitation on Earth falls within ITCZ, which plays a key role setting Earth's temperature by affecting global energy transports, and partially dictates dynamics largest interannual mod...