Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …

Abstract Compound Dry and Hot Extremes (CDHEs) is gaining attention compared to
individual dry or hot extremes, due to their amplified impacts on both the population and …

In-situ hydrometric gauges are considered the most trusted source of information in
hydrology. They are crucial for effective planning, designing and management of water …

This study proposes a novel complex networks-based framework to examine the spatial
propagation of one type of drought to another (concurrent droughts) in a region and the …

Precipitation is a fundamental input for many hydrological and water management studies.
Nowadays, a number of satellite precipitation products are easily accessible online at free of …

A better understanding of precipitation dynamics in the Indian subcontinent is required since
India's society depends heavily on reliable monsoon forecasts. We introduce a non-linear …

Abstract An Extended Triple Collocation for maximized Correlation (ETCC) method was
proposed with a unique correlation function, the purpose of which is to maximize the …

Precipitation is essential for modeling the hydrologic behavior of watersheds. There exist
multiple precipitation products of different sources and precision. We evaluate the influence …

An accurate and timely forecast of extreme events can mitigate negative impacts and
enhance preparedness. Real-time forecasting of extreme flood events with longer lead times …

In this paper, we propose and study a two-layer network composed of a Petri net in the first
layer and a ring of coupled Hindmarsh–Rose neurons in the second layer. Petri nets are …