Full Text

Turn on search term navigation

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Teleconnections, such as El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), North Atlantic Oscillation (NAO), and the Madden Julian Oscillation (MJO), are often analyzed in their mature phase of variability with the recognition that the teleconnections have an evolving spatiotemporal scale. Jianfeng Wang [11] presented the impacts of harsh weather conditions on the transportation system using a stratified Cox model and a heterogeneous Markov chain model, and showed that weather variables, including temperature, humidity, snow depth, and ice/snow precipitation, have a significant impact on train performance. To improve the simulation of tropical cyclones over the North Indian Ocean (NIO), Gundapuneni Venkata Rao [12] investigated the impact of seven microphysical parameterization schemes using the ARW model. All published 13 studies contributed significantly to our existing knowledge and will appeal to the broader society of Earth scientists and modellers given the problems they face in understanding the spatio-temporal variability of the climate variables, coupled between the teleconnections and extreme events.

Details

Title
Emerging Hydro-Climatic Patterns, Teleconnections, and Extreme Events in Changing World at Different Timescales
Author
Agarwal, Ankit 1   VIAFID ORCID Logo  ; Yuan, Naiming 2 ; Cheung, Kevin K W 3   VIAFID ORCID Logo  ; Shukla, Roopam 4 

 Department of Hydrology, Indian Institute of Technology, Roorkee 247667, India 
 Institute of Atmospheric Physics, Chinese Academy of Sciences, Hua Yan Li #40, Beijing 100029, China; [email protected] 
 E3-Complexity Consultant, Sydney, NSW 2122, Australia; [email protected] 
 Adaptation in Agriculture Systems, RD2: Climate Resilience, Potsdam Institute for Climate Impact Research (PIK), Leibniz Association, Telegrafenberg, 14476 Potsdam, Germany; [email protected] 
First page
56
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20734433
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621266235
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.