1. Adib M.N.M., Harun S., 2022, Metalearning approach coupled with CMIP6 multi-GCM for future monthly streamflow forecasting, Journal of Hydrologic Engineering, 27 (6), DOI: 10.1061/(ASCE)HE.1943-5584.0002176. CrossRef Google Scholar

Compound events have the potential to cause high socioeconomic and environmental losses. We examine ability of sixth phase Coupled Model Intercomparison Project (CMIP6) models capture two bivariate compound events: co-occurrence heavy rain strong wind, heat waves meteorological drought. evaluate over North America, Europe, Eurasia, Australia using observations reanalysis data set spanning 1980–...

Abstract State-of-the-art climate models simulate warmer than observed sea surface temperatures (SST) in eastern boundary upwelling systems (EBUS), generating biases with profound implications for the simulation of present-day and its future projections. Amongst all EBUS, bias is largest southeastern tropical Atlantic (SETA). Here, we provide a comprehensive evaluation performance SETA Coupled ...

Through a large meridional transport of heat and freshwater, the Atlantic overturning circulation (AMOC) plays fundamental role in earth climate system. Yet, there exist significant biases representing AMOC structures models it is unclear whether or to what extent have reduced through different generations models. To address this question, study compared represented three phases Coupled Model I...

The information on the projected climate changes over China is of great importance for preparing nation’s societal adaptiveness to future natural ecosystem. This study reports surface mean temperature during 2014–2100 and its four sub-regions (Northern China, Northwestern Southern Tibetan Plateau) by analyzing 20 models from Coupled Model Intercomparison Project Phase 6 (CMIP6) under three Shar...