Influence of Teleconnective Indices on Climate Dynamics and River Discharge Changes

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water and Climate Change".

Deadline for manuscript submissions: closed (30 March 2024) | Viewed by 1302

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Department of Chemical Engineering Materials Environment (DICMA), Sapienza University of Rome, 00185 Rome, Italy
Interests: geochemistry; hydrogeochemistry; groundwater; geochemistry of sustainable processes; geochemical assessment of environmental quality; isotopic geochemistry; groundwater pollution; groundwater remediation; water quality; water safety; sustainable development; environmental geochemistry; climate change; earthquakes; drinking water
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School of Science and Technology, University of Camerino, 62032 Camerino, Italy
Interests: structural geomorphology and morphotectonics; slope processes and landslide risk; geomorphological and geothematic cartography; geomorphological evolution of catchment areas and floodplains
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Special Issue Information

Dear Colleagues,

Climate and climate change are dependent on atmospheric dynamics that are not always clear. Although the causes are obvious and correlated to human action, the effects on climate at a spatial level are difficult to predict without analysing the atmospheric dynamics that govern the movement of air currents. In this context, it is essential to assess the effects that variations in teleconnective indices may have on climate parameters and consequently on river discharge. Therefore, we invite the authors to contribute articles and reviews that could foster a better understanding of both climate change at the spatial level and changes in river discharge. It will be interesting to understand both the interactions and possible modelling to predict the possible effects on the environment related to changes in teleconnective indices. These analyses could also be used to assess hydrogeological risk, in relation to the trends assumed by teleconnective indices, in order to obtain a medium-term warning system.

We expect empirical and methodological contributions that can also provide important insights into the influence of teleconnective indices on the environment using GIS software. Topics are as follows:

  • GIS models for assessing the influences of teleconnective indices on climate;
  • Evaluation of the explanation of the variance of climate parameters in relation to teleconnective indices;
  • Multivariate research that can consider several teleconnective indices simultaneously;
  • Medium-term climate forecasts using models;
  • Changes in river discharge in relation to teleconnective indices;
  • Hydrogeological risk analysis, particularly concerning flooding in relation to changes in teleconnective indices.

Dr. Matteo Gentilucci
Prof. Dr. Maurizio Barbieri
Prof. Dr. Gilberto Pambianchi
Guest Editors

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Keywords

  • global warming
  • climate change effects monitoring
  • relationship between teconnective indices and climate parameters
  • relationship between teleconnective indices and river flows
  • teleconnective indices
  • medium-term climate forecasts
  • hydrogeological risk analysis in relation to teleconnective indices

Published Papers (1 paper)

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Research

28 pages, 8555 KiB  
Article
Spatial Effects of NAO on Temperature and Precipitation Anomalies in Italy
by Matteo Gentilucci, Sofia Domenicucci, Maurizio Barbieri, Younes Hamed, Riheb Hadji, Rim Missaoui and Gilberto Pambianchi
Water 2023, 15(21), 3727; https://doi.org/10.3390/w15213727 - 25 Oct 2023
Cited by 1 | Viewed by 1068
Abstract
The NAO teleconnective pattern has a great influence on the European climate; however, the exact quantification of NAO pattern in the different areas is sometimes lacking, and at other times, highlights even large differences between the various studies. This motivation led to the [...] Read more.
The NAO teleconnective pattern has a great influence on the European climate; however, the exact quantification of NAO pattern in the different areas is sometimes lacking, and at other times, highlights even large differences between the various studies. This motivation led to the identification of the aim of this research in the study of the relationship between the NAO index and temperature and precipitation anomalies over the period 1991–2020, through the analysis of 87 rain gauges and 86 thermometric stations distributed as homogeneously as possible over the Italian territory. The results were sometimes at odds with the scientific literature on the subject, as significance was also found outside the winter season, e.g., in the spring for temperatures and in the autumn for precipitation, and in some cases, correlations were found, especially in August, even in southern Italy, which is usually considered a poorly correlated area. In addition, the linear relationship between the NAO index and temperature and precipitation anomalies was verified, with many weather stations obtaining significant coefficients of determinations as high as 0.5–0.6 in December, with 29 degrees of freedom, and a p-value set at 95%. Finally, for both climatic parameters, the presence of clusters and outliers at seasonal and monthly levels was assessed, obtaining a spatial distribution using the local Moran index, and summarising them in maps. This analysis highlighted important clusters in Northern and Central Italy, while clusters in the summer months occur in the South. These results provide information that may further elucidate local atmospheric dynamics in relation to NAO phases, as well as encourage future studies that may link other teleconnective indices aimed at better explaining the variance of climate parameters. Full article
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