The study evaluated the ability of 11 global climate models of the latest two versions of the
Coupled Model Intercomparison Project (CMIP5 and CMIP6) to simulate observed (1965 …

Abstract General Circulation and Earth System Models are the most advanced tools for
investigating climate responses to future scenarios of greenhouse gas emissions, playing …

Projections of future hydrological conditions rely largely on global climate models, but model
performance varies greatly. In this study, we investigated projected changes in runoff (R) …

The threat of global climate change on wheat production may be underestimated by the
limited capacity of many crop models to predict grain quality and protein composition. This …

In present study, values of minimum temperature, maximum temperature and precipitation at
27 observation stations in Morocco are used to implement an artificial neural network based …

Characteristics of extreme rainfall events are often presented using the Intensity-Duration-
Frequency (IDF) curves. As Canada gets warmer, the credibility of using historical IDF …

CONTEXT Climate change profoundly affects agriculture through increased occurrences of
extreme weather events, directly affecting crop growth and food security. The North China …

Extreme climate change events are major causes of devastating impacts on socioeconomic
well-being and ecosystem damage. Therefore, understanding the performance of …

The increasing frequency of urban flood disasters presents a significant obstacle to urban
sustainability. Urban flood management aims to reduce the flood occurrences, currently …

This study assesses the ability of climate models to represent rainy season (RS) dependent
climate indices relevant for agriculture and crop-specific agricultural indices in eleven …