| Full text | |
| Author(s): Show less - |
Ludescher, Josef
[1]
;
Martin, Maria
[1]
;
Boers, Niklas
[1, 2, 3, 4]
;
Bunde, Armin
[5]
;
Ciemer, Catrin
[1]
;
Fan, Jingfang
[1, 6]
;
Havlin, Shlomo
[7]
;
Kretschmer, Marlene
[8]
;
Kurths, Juergen
[9, 1]
;
Runge, Jakob
[10]
;
Stolbova, Veronika
[11]
;
Surovyatkina, Elena
[1, 12]
;
Schellnhuber, Hans Joachim
[1]
Total Authors: 13
|
| Affiliation: Show less - | [1] Potsdam Inst Climate Impact Res, D-14473 Potsdam - Germany
[2] Tech Univ Munich, Sch Engn & Design, Earth Syst Modelling, D-80333 Munich - Germany
[3] Univ Exeter, Dept Math, Exeter EX4 4QE, Devon - England
[4] Univ Exeter, Global Syst Inst, Exeter EX4 4QE, Devon - England
[5] Justus Liebig Univ Giessen, Inst Theoret Phys, D-35392 Giessen - Germany
[6] Beijing Normal Univ, Sch Syst Sci, Beijing 100875 - Peoples R China
[7] Bar Ilan Univ, Dept Phys, IL-52900 Ramat Gan - Israel
[8] Univ Reading, Dept Meteorol, Reading RG6 6BB, Berks - England
[9] Nizhnii Novgorod State Univ, Dept Control Theory, Nizhnii Novgorod 603950 - Russia
[10] German Aerosp Ctr, Inst Data Sci, D-07745 Jena - Germany
[11] Swiss Fed Inst Technol Zurich, CH-8092 Zurich - Switzerland
[12] Russian Acad Sci, Space Dynam & Data Anal Dept, Space Res Inst, Moscow 117997 - Russia
Total Affiliations: 12
|
| Document type: | Journal article |
| Source: | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA; v. 118, n. 47 NOV 23 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
Network theory, as emerging from complex systems science, can provide critical predictive power for mitigating the global warming crisis and other societal challenges. Here we discuss the main differences of this approach to classical numerical modeling and highlight several cases where the network approach substantially improved the prediction of high-impact phenomena: 1) El Nino events, 2) droughts in the central Amazon, 3) extreme rainfall in the eastern Central Andes, 4) the Indian summer monsoon, and 5) extreme stratospheric polar vortex states that influence the occurrence of wintertime cold spells in northern Eurasia. In this perspective, we argue that network-based approaches can gainfully complement numerical modeling. (AU) | |
| FAPESP's process: | 15/50122-0 - Dynamic phenomena in complex networks: basics and applications |
| Grantee: | Elbert Einstein Nehrer Macau |
| Support Opportunities: | Research Projects - Thematic Grants |