Abstract In this study, we aim to better understand the current and future projections of precipitation extremes in Europe context climatic variability over a long-term period from last millennium end twenty-first century. The daily gridded data five global climate models (GCMs) phase 5 Coupled Model Intercomparison Project (CMIP5) are chosen investigate natural during (850–1849), historical (1...

Terminalia catappa and subspathulata are two species of the Combretaceae family medium to large forest trees. The fruits T. known for edible nuts commonly as tropical almonds due their similarity in taste with commerce. Therefore, chemical profiles were examined ascertain potential value food or health uses. Gas chromatography-mass spectrometry (GCMS) ultrahigh-pressure liquid chromatography-el...

Abstract The societies of the Greater Horn Africa (GHA) are vulnerable to variability in two distinct rainy seasons, March–May ‘long’ rains and October–December ‘short’ rains. Recent trends both possibly related patterns low-frequency variability, have increased interest future climate projections from General Circulation Models (GCMs). However, previous generations GCMs historically poorly sim...

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)...