Editing Chaos theory (section)

=== Finite predictability in weather and climate ===
Due to the sensitive dependence of solutions on initial conditions (SDIC), also known as the butterfly effect, chaotic systems like the Lorenz 1963 model imply a finite predictability horizon. This means that while accurate predictions are possible over a finite time period, they are not feasible over an infinite time span. Considering the nature of Lorenz's chaotic solutions, the committee led by Charney et al. in 1966<ref>{{Cite book |date=1966-01-01 |title=The Feasibility of a Global Observation and Analysis Experiment |url=http://dx.doi.org/10.17226/21272 |doi=10.17226/21272|isbn=978-0-309-35922-1 }}</ref> extrapolated a doubling time of five days from a general circulation model, suggesting a predictability limit of two weeks. This connection between the five-day doubling time and the two-week predictability limit was also recorded in a 1969 report by the Global Atmospheric Research Program (GARP).<ref>{{Cite journal |last=GARP |title=GARP topics |journal=Bull. Am. Meteorol. Soc. |volume=50 |pages=136–141}}</ref> To acknowledge the combined direct and indirect influences from the Mintz and Arakawa model and Lorenz's models, as well as the leadership of Charney et al., Shen et al.<ref>{{Cite journal |last1=Shen |first1=Bo-Wen |last2=Pielke |first2=Roger A. |last3=Zeng |first3=Xubin |last4=Zeng |first4=Xiping |date=2024-07-16 |title=Exploring the Origin of the Two-Week Predictability Limit: A Revisit of Lorenz's Predictability Studies in the 1960s |journal=Atmosphere |language=en |volume=15 |issue=7 |pages=837 |doi=10.3390/atmos15070837 |doi-access=free |bibcode=2024Atmos..15..837S |issn=2073-4433}}</ref> refer to the two-week predictability limit as the "Predictability Limit Hypothesis," drawing an analogy to Moore's Law.