Undoubtedly, high demands for food from the world-wide growing population are impacting
the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as …

There is now a large published literature on the strengths and weaknesses of downscaling
methods for different climatic variables, in different regions and seasons. However, little …

Precipitation downscaling improves the coarse resolution and poor representation of
precipitation in global climate models and helps end users to assess the likely hydrological …

The Agricultural Model Intercomparison and Improvement Project (AgMIP) is a major
international effort linking the climate, crop, and economic modeling communities with …

Global change encompasses changes in the characteristics of inter-related climate variables
in space and time, and derived changes in terrestrial processes, including human activities …

This paper presents a review of trend analysis of extreme precipitation and hydrological
floods in Europe based on observations and future climate projections. The review …

This article reviews the historical development of statistical weather models, from simple
analyses of runs of consecutive rainy and dry days at single sites, through to multisite …

Multi-model ensembles of climate predictions constructed by running several global climate
models for a common set of experiments are available for impact assessment of climate …

Weather has a significant impact on crop growth and development. This paper presents an
overview of crop modeling and applications of crop models, and the significance of weather …

This article provides the first comprehensive assessment of methods for the creation of
weather variables for use in building simulation. We undertake a critical analysis of the …