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Drivers and impacts of Eastern African rainfall variability
Eastern Africa exhibits bimodal rainfall consisting of long rains (March–May) and short rains
(October–December), changes in which have profound socioeconomic and environmental …
(October–December), changes in which have profound socioeconomic and environmental …
Prediction and projection of heatwaves
Heatwaves constitute a major threat to human health and ecosystems. Projected increases
in heatwave frequency and severity thus lead to the need for prediction to enhance …
in heatwave frequency and severity thus lead to the need for prediction to enhance …
Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts
Compound droughts and hot events or extremes (CDHEs) may lead to larger repercussions
than do individual extremes. Due to the disastrous impacts and increased risk of these …
than do individual extremes. Due to the disastrous impacts and increased risk of these …
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Extreme events such as heat waves and cold spells, droughts, heavy rain, and storms are
particularly challenging to predict accurately due to their rarity and chaotic nature, and …
particularly challenging to predict accurately due to their rarity and chaotic nature, and …
The influence of the quasi-biennial oscillation on the Madden–Julian oscillation
The stratospheric quasi-biennial oscillation (QBO) and the tropospheric Madden–Julian
oscillation (MJO) are strongly linked in boreal winter. In this Review, we synthesize …
oscillation (MJO) are strongly linked in boreal winter. In this Review, we synthesize …
Increased exposure of coastal cities to sea-level rise due to internal climate variability
Adaptation to future sea-level rise is based on projections of continuously improving climate
models. These projections are accompanied by inherent uncertainties, including those due …
models. These projections are accompanied by inherent uncertainties, including those due …
Advances and challenges in climate modeling
O Alizadeh - Climatic Change, 2022 - Springer
In spite of the chaotic nature of the atmosphere and involvement of complex nonlinear
dynamics, forecasting climate fluctuations over different timescales is feasible due to the …
dynamics, forecasting climate fluctuations over different timescales is feasible due to the …
Intraseasonal variability of global land monsoon precipitation and its recent trend
Accurate prediction of global land monsoon rainfall on a sub-seasonal (2–8 weeks) time
scale has become a worldwide demand. Current forecasts of weekly-mean rainfall in most …
scale has become a worldwide demand. Current forecasts of weekly-mean rainfall in most …
Hysteresis of the El Niño–Southern Oscillation to CO2 forcing
El Niño–Southern Oscillation (ENSO) is the strongest interannual climate variability with far-
reaching socioeconomic consequences. Many studies have investigated ENSO-projected …
reaching socioeconomic consequences. Many studies have investigated ENSO-projected …
A review of recent and emerging machine learning applications for climate variability and weather phenomena
Climate variability and weather phenomena can cause extremes and pose significant risk to
society and ecosystems, making continued advances in our physical understanding of such …
society and ecosystems, making continued advances in our physical understanding of such …