Literature by the same author at Google Scholar Bibliografische Daten exportieren 

Three Kinds of Butterfly Effects within Lorenz Models
Title data
Shen, BoWen ; Pielke, Roger A., Sr. ; Zeng, Xubin ; Cui, Jialin ; FaghihNaini, Sara ; Paxson, Wei ; Atlas, Robert:
Three Kinds of Butterfly Effects within Lorenz Models.
In: Encyclopedia.
Vol. 2
(2022)
Issue 3
.
 pp. 12501259.
ISSN 26738392
DOI: https://doi.org/10.3390/encyclopedia2030084
Abstract in another language
Within Lorenz models, the three major kinds of butterfly effects (BEs) are the sensitive dependence on initial conditions (SDIC), the ability of a tiny perturbation to create an organized circulation at large distances, and the hypothetical role of smallscale processes in contributing to finite predictability, referred to as the first, second, and third kinds of butterfly effects (BE1, BE2, and BE3), respectively. A wellaccepted definition of the butterfly effect is the BE1 with SDIC, which was rediscovered by Lorenz in 1963. In fact, the use of the term “butterfly” appeared in a conference presentation by Lorenz in 1972, when Lorenz introduced the BE2 as the metaphorical butterfly effect. In 2014, the socalled “real butterfly effect”, which is based on the features of Lorenz’s study in 1969, was introduced as the BE3.
Further data
Item Type: 
Article in a journal

Refereed: 
Yes 
Institutions of the University: 
Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professor Numerics of Partial Differential Equations Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professor Numerics of Partial Differential Equations > Professor Numerics of Partial Differential Equations  Univ.Prof. Dr. Vadym Aizinger Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS) Research Institutions > Research Centres > Forschungszentrum für Wissenschaftliches Rechnen an der Universität Bayreuth  HPCForschungszentrum Research Institutions Research Institutions > Research Centres 
Result of work at the UBT: 
No 
DDC Subjects: 
000 Computer Science, information, general works 000 Computer Science, information, general works > 004 Computer science 500 Science 500 Science > 510 Mathematics 500 Science > 550 Earth sciences, geology 600 Technology, medicine, applied sciences 600 Technology, medicine, applied sciences > 600 Technology 
Date Deposited: 
14 Oct 2022 05:25 
Last Modified: 
14 Oct 2022 05:25 
URI: 
https://eref.unibayreuth.de/id/eprint/72432 
