Solar energy, considered to be the most abundant renewable resource, is one of the most
effective methods for reducing carbon emissions. The quantification of the uncertainty in the …

Data assimilation (DA) holds considerable potential for improving hydrologic predictions as
demonstrated in numerous research studies. However, advances in hydrologic DA research …

Coral reefs underpin a range of ecosystem goods and services that contribute to the well‐
being of millions of people. However, tropical coral reefs in the Anthropocene are likely to be …

As a result of climate change in recent past and unsustainable land management, drought
became one of the most impacting disasters and, with the projected global warming, it is …

Urban water demand will increase by 80% by 2050, while climate change will alter the
timing and distribution of water. Here we quantify the magnitude of these twin challenges to …

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 paper I present new methods for bias adjustment and statistical downscaling that are
tailored to the requirements of the Inter-Sectoral Impact Model Intercomparison Project …

As heatwaves become more frequent, intense, and longer-lasting due to climate change, the
question of breaching thermal limits becomes pressing. A wet-bulb temperature (Tw) of 35° …

The response of the terrestrial carbon cycle to climate change is among the largest
uncertainties affecting future climate change projections,. The feedback between the …

Statistical bias correction is commonly applied within climate impact modelling to correct
climate model data for systematic deviations of the simulated historical data from …