Abstract Multi-Model Ensembles (MMEs) are used for improving the performance of GCM
simulations. This study evaluates the performance of MMEs of precipitation, maximum …

In this study, an energy-climate-water nexus model for China (abbreviated as CN-ECWN
model) is developed through integrating global climate models, multiple linear regression …

This study used a 30-year observed (1985–2014) precipitation, and the latest Coupled
Model Intercomparison Phase 6 (CMIP6) Shared Socioeconomic Pathways (SSPs) based …

The availability of global satellite-based precipitation datasets provides an asset to
accomplish precipitation dependent analysis where gauge based precipitation datasets are …

Atmospheric warming is expected to increase the magnitude and frequency of extreme
climatic events namely floods, droughts, heat waves, and so on. Thus, the present study …

A major section of India's economy is directly linked with water-dependent food and energy
systems. Skillful predictions of droughts play a pivotal role in sustainable water management …

Evapotranspiration (ET), which relates to hydrology and the energy cycle process of land
surface, is a key link of the water cycle and an important item of expenditure in energy …

Climate change poses a significant global challenge, impacting both the natural and socio-
economic functioning of the world. Iran, is already experiencing significant changes in hydro …

Land-use and climate changes have impacts on hydrological processes for river basin. In
this study, a multi-scenario ensemble streamflow forecast (MESF) method is developed for …

Landuse landcover (LULC) and climate change have significant hydrological impacts,
especially in humid tropical regions. Cautious planning and development based on early …