Automated methods for the detection and tracking of deep convective storms in
geostationary satellite imagery have a vital role in both the forecasting of severe storms and …

Estimating cloud motion with complex background through the sequence of satellite images
plays an important role in weather forecasting. This motion can be used for characterization …

Tropical cyclones represent formidable natural phenomena, demanding constant progress
in prediction methodologies. The survey paper amalgamates diverse insights from recent …

Meteorologists use shapes and movements of clouds in satellite images as indicators of
several major types of severe storms. Yet, because satellite image data are in increasingly …

The ongoing quest for methods that enhance the efficiency of heat transfer processes,
particularly those involving phase change, underscores the importance of comprehending …

Severe weather conditions cause an enormous amount of damages around the globe. Bow
echo patterns in radar images are associated with a number of these destructive conditions …

Tropical cyclone track prediction is the essential role in disaster prevention and mitigation.
Early stage of the cyclone formation is difficult to detect automatically. Many image …

This work presents and compare six short-term forecasting methods for hourly aggregated
solar generation. The methods forecast one day ahead hourly values of Spanish solar …

This work presents and compare four short-term forecasting methods for one day-ahead
hourly values of Spanish solar and wind energy generation. From the four models analyzed …

Deep convective clouds (DCCs) play a key role in weather, the general circulation of the
atmosphere, and the energy balance of the troposphere; the feedback of DCCs in response …