The AlpArray seismic network: a large-scale European experiment to image the Alpine Orogen
The AlpArray programme is a multinational, European consortium to advance our
understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations …
understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations …
Spatial diversity of atmospheric moisture transport and climate teleconnections over Indian subcontinent at different timescales
Regional weather and climate are generally impacted by global climatic phenomenon′ s.
Understanding the impact of global climate phenomenon′ s on an atmospheric branch of …
Understanding the impact of global climate phenomenon′ s on an atmospheric branch of …
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation
In this paper, an event-triggered integral reinforcement learning (IRL) algorithm is developed
for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a …
for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a …
[HTML][HTML] Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach
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 …
India's society depends heavily on reliable monsoon forecasts. We introduce a non-linear …
A review of synchronization of extreme precipitation events in monsoons from complex network perspective
Monsoon precipitation is the critical source of freshwater for some of the world's most
densely populated areas, yet extreme precipitation events in these regions present …
densely populated areas, yet extreme precipitation events in these regions present …
Wavelet entropy-based evaluation of intrinsic predictability of time series
Intrinsic predictability is imperative to quantify inherent information contained in a time series
and assists in evaluating the performance of different forecasting methods to get the best …
and assists in evaluating the performance of different forecasting methods to get the best …
A game theoretical model for the stimulation of public cooperation in environmental collaborative governance
Y Fang, M Perc, H Zhang - Royal Society Open Science, 2022 - royalsocietypublishing.org
Digital technologies provide a convenient way for the public to participate in environmental
governance. Therefore, by means of a two-stage evolutionary model, a new mechanism for …
governance. Therefore, by means of a two-stage evolutionary model, a new mechanism for …
Heterogeneity in spatiotemporal variability of High Mountain Asia's runoff and its underlying mechanisms
Abstract High Mountain Asia (HMA) is the headwater area for major Asian rivers, providing a
vast amount of freshwater to billions of people in Asia. These rivers also make their …
vast amount of freshwater to billions of people in Asia. These rivers also make their …
Forecasting of extreme flood events using different satellite precipitation products and wavelet-based machine learning methods
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 …
enhance preparedness. Real-time forecasting of extreme flood events with longer lead times …
Collective behavior in a two-layer neuronal network with time-varying chemical connections that are controlled by a Petri net
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 …
layer and a ring of coupled Hindmarsh–Rose neurons in the second layer. Petri nets are …