@Article{Kane:2008:HoUsWa,
author = "Kane, Rajaram Purushottam",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "How useful is the Waldmeier effect for prediction of a sunspot
cycle?",
journal = "Journal of Atmospheric and Solar-Terrestrial Physics",
year = "2008",
volume = "70",
number = "11/12",
pages = "1533--1540",
month = "Aug.",
keywords = "Predictions, Sunspot cycle, Sunspot maxima, Waldmeier effect.",
abstract = "Waldmeier effect [Waldmeier M., 1955. Ergebnisse und Probleme der
Sonnenforschung. Second Ed., Leipzig, p. 154] states that the
rise-time of a cycle depends upon a single parameter, namely the
sunspot number Rz(max) at the maximum. Strong cycles have a
steeper rise, while moderate cycles rise more slowly. In this
paper, using the past data for sunspot cycles 1-23, these aspects
are re-examined. It was noticed that the inverse relationship
between Rz(max) and rise-time is discernable only when average
patterns obtained by superposition of several cycles (separately
for strong and weak cycles) are compared. In individual cycles,
considerable deviations from the average patterns can occur
(several tens of units of Rz and several months of rise-time). For
a study of the relationship of Rz(max) with features in the early
part of a cycle, the features chosen were Ro (i.e., Rz(min)) and
Rz values Ra, Rb, and Rc, 12, 24 and 36 months, respectively,
later than Ro (only 12-monthly running means were used). Ro had a
moderate correlation (<0.6) with Rz(max), but Ra, Rb, Rc had
better correlations. For hindsight predictions for cycles 18-23,
the predictions for cycle 19 was grossly erroneous (observed value
almost double of the predicted value). For other cycles, the
errors were within 25%. For cycle 24, the Rz monthly values up to
March 2008 give 12-month running means centered in June, July,
August, September 2007 as 7.6, 6.5, 5.8, 6.1. Thus, though we
cannot be absolutely sure yet that Rz(min) for cycle 24 has
occurred, a tentative, provisional prediction using Rz(min) (i.e.,
Ro) as 5.8 is Rz(max)=113±19, i.e., in the range 94-132. This is
an upper limit, as Ro value may reduce further in coming months,
but most probably not very much. For Ro=5.0, the prediction would
be Rz(max)= 109±17, while in the extreme hypothetical case of
Ro=0.0, the prediction would be Rz(max)=79±14.",
doi = "10.1016/j.jastp.2008.04.010",
url = "http://dx.doi.org/10.1016/j.jastp.2008.04.010",
issn = "1364-6826",
language = "en",
targetfile = "how useful.pdf",
urlaccessdate = "05 maio 2024"
}