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Accurately forecasting solar radiation distribution at both spatial and temporal dimensions simultaneously with fully-convolutional deep neural network model
Accurately forecasting solar radiation is of great significance to solar energy utilization. To
forecast the spatial and temporal distributions of solar radiation simultaneously, a deep …
forecast the spatial and temporal distributions of solar radiation simultaneously, a deep …
Global increases in compound flood‐hot extreme hazards under climate warming
Under global warming, a novel category of extreme events has become increasingly
apparent, where flood and hot extremes occur in rapid succession, causing significant …
apparent, where flood and hot extremes occur in rapid succession, causing significant …
Global hotspots for the occurrence of compound events
Compound events (CEs) are weather and climate events that result from multiple hazards or
drivers with the potential to cause severe socio-economic impacts. Compared with isolated …
drivers with the potential to cause severe socio-economic impacts. Compared with isolated …
Using machine learning to analyze physical causes of climate change: A case study of US Midwest extreme precipitation
While global warming has generally increased the occurrence of extreme precipitation, the
physical mechanisms by which climate change alters regional and local precipitation …
physical mechanisms by which climate change alters regional and local precipitation …
Towards advancing scientific knowledge of climate change impacts on short-duration rainfall extremes
A large number of recent studies have aimed at understanding short-duration rainfall
extremes, due to their impacts on flash floods, landslides and debris flows and potential for …
extremes, due to their impacts on flash floods, landslides and debris flows and potential for …
Evaluation and projection of precipitation in Pakistan using the Coupled Model Intercomparison Project Phase 6 model simulations
This study aimed to evaluate the performance of global climate models (GCMs) from the
family of the Coupled Model Intercomparison Project Phase 6 (CMIP6) in the historical …
family of the Coupled Model Intercomparison Project Phase 6 (CMIP6) in the historical …
Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations
Realistically representing the present-day characteristics of extreme precipitation has been
a challenge for global climate models, which is due in part to deficiencies in model …
a challenge for global climate models, which is due in part to deficiencies in model …
The climatic analysis of summer monsoon extreme precipitation events over West Africa in CMIP6 simulations
We evaluate the capability of 21 models from the new state-of-the-art Coupled Model
Intercomparison Project, Phase 6 (CMIP6) in the representation of present-day precipitation …
Intercomparison Project, Phase 6 (CMIP6) in the representation of present-day precipitation …
Atmospheric circulation compounds anthropogenic warming and impacts of climate extremes in Europe
Diagnosing dynamical changes in the climate system, such as those in atmospheric
circulation patterns, remains challenging. Here, we study 1950 to 2021 trends in the …
circulation patterns, remains challenging. Here, we study 1950 to 2021 trends in the …
The multi‐scale interactions of atmospheric phenomenon in mean and extreme precipitation
Climate change increases the frequency and intensity of extreme precipitation, which in
combination with rising population enhances exposure to major floods. An improved …
combination with rising population enhances exposure to major floods. An improved …