Caption: Table A. 11. 2. Synthesis table summarising assessments presented in Tables 11.4-
11.21 for hot extremes (HOT EXT.), heavy precipitation (HEAVY PRECIP.), agriculture and …

This paper surveys the current state of knowledge regarding large-scale meteorological
patterns (LSMPs) associated with short-duration (less than 1 week) extreme precipitation …

Weather and climate extremes impose serious impacts on natural and human systems. In its
fifth assessment report (AR5) and a special report [Managing the Risks of Extreme Events …

Convolutional neural network (CNN) is an effective tool for extracting interpretable
information from big data and has been recently used as a promising approach for statistical …

Extreme precipitation is the leading cause of the flood, soil erosion, and drought with
significant socioeconomic impacts on human resources. Therefore, projecting future …

This paper analyses the daily precipitation data recorded for the last 75–80 years in SE
Spain. Prior to statistical analysis, homogeneity tests were performed to determine the …

Background Climate change has altered global hydrological cycles mainly due to changes
in temperature and precipitation, which may exacerbate the global and regional water …

Given the increasing need for complete rainfall data networks, in recent years have been
proposed diverse methods for filling gaps in observed precipitation series, progressively …

Droughts are one of the extreme climatic phenomena with the greatest and most persistent
impact on health, economic activities and ecosystems and are poorly understood due to …

A comprehensive analysis of the spatial and temporal variability of daily precipitation in
Spain in the period 1950–2012 was carried out based on the high‐resolution gridded data …