Abstract:Applicable publications, involving five languages, have been reviewed to obtain information on El Niños that occurred over the past four and a half centuries. Since this information refers strictly to El Niño occurrences, a regional manifestation of the large‐scale (El Niño‐Southern Oscillation (ENSO)) event, it is based primarily on evidence obtained from the west coast region of northern South America and its adjacent Pacific Ocean waters. Authored lists of events were not acceptable without referenced valid… Show more
“…Boxes refer to strong-very strong El Niñ o (dark boxes), strong-very strong La Niñ a (light-gray boxes), and moderate ENSO episodes (white boxes). Episodes were classified according to standardized terminology, both for the historical ENSO period (39) and for the recent interval (40). The analysis identifies isolated episodes of covariation and quantifies the corresponding local contribution to the overall variance.…”
We present here quantitative evidence for an increased role of interannual climate variability on the temporal dynamics of an infectious disease. The evidence is based on time-series analyses of the relationship between El Niñ o͞Southern Oscillation (ENSO) and cholera prevalence in Bangladesh (formerly Bengal) during two different time periods. A strong and consistent signature of ENSO is apparent in the last two decades (1980 -2001), while it is weaker and eventually uncorrelated during the first parts of the last century (1893-1920 and 1920 -1940, respectively). Concomitant with these changes, the Southern Oscillation Index (SOI) undergoes shifts in its frequency spectrum. These changes include an intensification of the approximately 4-yr cycle during the recent interval as a response to the well documented Pacific basin regime shift of 1976. This change in remote ENSO modulation alone can only partially serve to substantiate the differences observed in cholera. Regional or basin-wide changes possibly linked to global warming must be invoked that seem to facilitate ENSO transmission. For the recent cholera series and during specific time intervals corresponding to local maxima in ENSO, this climate phenomenon accounts for over 70% of disease variance. This strong association is discontinuous in time and can only be captured with a technique designed to isolate transient couplings.
“…Boxes refer to strong-very strong El Niñ o (dark boxes), strong-very strong La Niñ a (light-gray boxes), and moderate ENSO episodes (white boxes). Episodes were classified according to standardized terminology, both for the historical ENSO period (39) and for the recent interval (40). The analysis identifies isolated episodes of covariation and quantifies the corresponding local contribution to the overall variance.…”
We present here quantitative evidence for an increased role of interannual climate variability on the temporal dynamics of an infectious disease. The evidence is based on time-series analyses of the relationship between El Niñ o͞Southern Oscillation (ENSO) and cholera prevalence in Bangladesh (formerly Bengal) during two different time periods. A strong and consistent signature of ENSO is apparent in the last two decades (1980 -2001), while it is weaker and eventually uncorrelated during the first parts of the last century (1893-1920 and 1920 -1940, respectively). Concomitant with these changes, the Southern Oscillation Index (SOI) undergoes shifts in its frequency spectrum. These changes include an intensification of the approximately 4-yr cycle during the recent interval as a response to the well documented Pacific basin regime shift of 1976. This change in remote ENSO modulation alone can only partially serve to substantiate the differences observed in cholera. Regional or basin-wide changes possibly linked to global warming must be invoked that seem to facilitate ENSO transmission. For the recent cholera series and during specific time intervals corresponding to local maxima in ENSO, this climate phenomenon accounts for over 70% of disease variance. This strong association is discontinuous in time and can only be captured with a technique designed to isolate transient couplings.
“…Their list included all previously reported El Niño episodes plus new episodes. This list included those from the classic paper bY Quinn, Neal and Mayolo [5]. The Quinn et al list was compiled from various historical reports of major climate anomalies in wind, ocean currents, physical changes, rain fall, flooding etc.…”
This paper discusses why model predictions of El Niño events fail. We begin by commenting on a recent retrospective about the failed prediction of an El Niño during 1975 McPhaden et al. state that "for all the advances in seasonal forecasting over the past 40 years, the fundamental problem of skillfully predicting the development of ENSO events and their consequences still challenges the scientific community." In a second paper McPhaden, this time alone, discusses the case of a "monster" El Niño "that failed to materialize in 2014". Unbeknown to McPhaden, these two climate "nonevents" have already been discussed and "explained" in some details in papers that report that the climate system consists of a series of finite time segments bounded by abrupt climate shifts. These finite time segments are phase-locked to the 2 nd or 3 rd subharmonic of an annual forcing. This paper will be an updated review of these "explanations". Additionally, we note that the climate system is presently (August 2017) in a phase-locked state of period 3 years that began in 2009 to make a qualified prediction: The next El Niño will occur during boreal winter of 2018 unless this phase-locked state terminates before then.
“…These records provide a year-by-year chronology of unusual meteorological and hydrological phenomena characteristic of discrete ENSO episodes such as extreme flooding or drought conditions (Quinn et al, 1987;Whetton and Rutherfurd, 1994).…”
Section: Discrete Enso Event Chronologies Historical Records Of El Nimentioning
confidence: 99%
“…To determine the intensity of events, years are classified from very strong to weak based on the apparent extent of destruction and societal cost detailed in these historical documents or through simple statistical definitions (Quinn et al, 1987;Quinn and Neal, 1992;Whetton and Rutherfurd, 1994;Gergis, 2006). Importantly, these records can provide an independent means of verifying model simulations and continuous proxy reconstructions of ENSO indices (Stahle et al, 1998;Rodbell et al, 1999;Mann et al, 2000a;Gergis, 2006), and are of use to archaeologists and social scientists interested in human responses to climatic events (Bouma et al, 1997;Grove and Chappell, 2000;Kuhnel and Coates, 2000;Kovats et al, 2003;Goddard and Dilley, 2005;Patz et al, 2005).…”
Section: Discrete Enso Event Chronologies Historical Records Of El Nimentioning
El Niñ o-Southern Oscillation (ENSO) is one of the most important coupled oceanatmospheric phenomena to cause global climate variability on interannual timescales. Efforts to understand recent, apparently anomalous ENSO behaviour are hampered by the phenomenon's unstable (non-stationary) nature and the limitations inherent in palaeoclimate records. In this paper, the complexities associated with isolating ENSO signals in observational and palaeoclimate records are reviewed. The utility and limitations of high-resolution (tree-ring, coral, speleothems, ice and documentary) proxy data for ENSO reconstruction are discussed. To overcome the regional biases contained within each palaeoclimatic source, it is necessary to compare complementary signals derived from multiple proxy climate records. To date, there have been limited attempts to reconstruct large-scale ENSO using these 'multiproxy' methodologies. A critique of the complexities associated with previous approaches of reconstructing discrete ENSO events and atmospheric/oceanic indices is provided. Abundant potential remains to better characterise teleconnection patterns, propagation signatures and non-stationary features of large-scale ENSO behaviour. If key uncertainties in ENSO dynamics (such as the response of extreme events to natural/human forcing) are to be adequately assessed, then complementary attempts must be made to model the historic synoptic conditions with apparent changes in reconstructed indices.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.