scholarly journals South Carolina's Climate Report Card: The Influence of the El Niño Southern Oscillation Cold Warm Event Cycles on South Carolina's Seasonal Precipitation

Author(s):  
Hope Mizzell ◽  
Jennifer Simmons

This study was driven by the need to better understand variations in South Carolina’s seasonal precipitation. Numerous weather-sensitive sectors such as agriculture and water resource management are impacted by the seasonal variability and distribution of precipitation. Studies have shown that El Niño-Southern Oscillation (ENSO) has varying effects on seasonal temperature and precipitation across the United States. The purpose of this study was to determine the relative influence of ENSO cold and warm event cycles on interannual variations of South Carolina’s seasonal precipitation (1950- 2015). The relationship between seasonal precipitation departures from normal and the average Multivariate ENSO Index was analyzed. Seasonal precipitation totals for each of South Carolina’s seven climate divisions and for three key city locations (Greenville-Spartanburg Airport, Columbia Airport, and Charleston Downtown) were examined. Results from the study indicate that the magnitude, seasonal variation, and consistency of the precipitation response to ENSO vary spatially and from episode to episode. Winter precipitation tends to be enhanced during the warm phase (El Niño) and reduced during the cold phase (La Niña). There is a less consistent signal during fall and no evident connection between ENSO and spring and summer precipitation.

2019 ◽  
Vol 23 (4) ◽  
pp. 1905-1929 ◽  
Author(s):  
Thushara De Silva M. ◽  
George M. Hornberger

Abstract. Seasonal to annual forecasts of precipitation patterns are very important for water infrastructure management. In particular, such forecasts can be used to inform decisions about the operation of multipurpose reservoir systems in the face of changing climate conditions. Success in making useful forecasts is often achieved by considering climate teleconnections such as the El Niño–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) as related to sea surface temperature variations. We present a statistical analysis to explore the utility of using rainfall relationships in Sri Lanka with ENSO and IOD to predict rainfall to the Mahaweli and Kelani River basins of the country. Forecasting of rainfall as the classes flood, drought, and normal is helpful for water resource management decision-making. Results of these models give better accuracy than a prediction of absolute values. Quadratic discrimination analysis (QDA) and classification tree models are used to identify the patterns of rainfall classes with respect to ENSO and IOD indices. Ensemble modeling tool Random Forest is also used to predict the rainfall classes as drought and not drought with higher skill. These models can be used to forecast the areal rainfall using predicted climate indices. Results from these models are not very accurate; however, the patterns recognized provide useful input to water resource managers as they plan for adaptation of agriculture and energy sectors in response to climate variability.


Author(s):  
Byung-Chul Chun ◽  
Kwan Hong ◽  
Hari Hwang ◽  
Sangho Sohn

ObjectiveThis study aimed to explore the effects of El Niño and La Niña events on the timing of influenza A peak activity in European countries.IntroductionInfluenza causes a significant burden to the world every year. In the temperate zone, influenza usually prevalent in the winter season, however, it is hardly predictable when the influenza epidemic will begin and when the peak activity will come. Influenza has a peak in early winter sometimes and a peak in late winter in another year. However, it is not well known what determines these epidemics timing, and the global climate change is expected to influence the timing of influenza epidemics.MethodsThe weekly influenza surveillance data of 5 European countries (UK, Norway, Germany, Greece, and Italy) from January 2005 to July 2018 were retrieved from WHO FluNET database. UK and Norway are considered the northern part of Europe, otherwise Germany, Greece, and Italy are considered western southern part. The El Niño southern oscillation (ENSO) were retrieved from Korean Meteorological Administration. We used the definition of El Niño as the positive sea surface temperature anomalies (≥0.5 degree in Celcius), while La Niña events are negative anomalies (≤-0.5 degree) of 3 months moving average. The weeks with the highest activities of influenza A and B in each season were identified and coded as 1, 2, 3 if the peak appeared the 1st 2nd and 3rd week from the beginning of the year respectively. The influenza data of 2008/2009 and 2009/2010 were excluded from the analysis to eliminate the bias due to a pandemic influenza outbreak. We compared the means of these peak weeks according to the presence of the anomalies using the general linear model with Scheffe multiple comparison and Wilcoxon signed rank sum test.ResultsFrom January 2005 to July 2018, there were 3 El Niño and 5 La Niña events by the ENSO excluding 2009 El Niño. The influenza A peak activity was observed at 9th week (mean±SD, 8.7±4.8) from the beginning of the year in no anomaly event, but the peak appearance timing was significantly shortened to 6th week (6.2±2.7) and 5th week (5.1±3.9) when El Niño and La Niña events occurred, respectively (both p<0.05). Influenza A made the peak at usually 10th week (9.9±5.0) in northern 2 countries in no anomalies, but at 6th (6.4±3.9) week in any events of an anomaly in the surface sea temperature (p=0.072). In the southern 3 countries, influenza peaks were observed at 8th (7.9±4.8 ) week in usual without anomalies, but at 5th (5.0±3.3) week in El Niño or La Niña events (p=0.049).ConclusionsBoth El Niño and La Niña affect the timing of influenza A peak activity; the ENSO associated the early emergency of peak influenza activities in European countries.ReferencesFisman DN, et al. Impact of El Niño Southern Oscillation on infectious disease hospitalization risk in the United States. Proc Natl Acad Sci U S A. 2016; 113(51):14589-14594.Oluwole OSA. Seasonal Influenza Epidemics and El Niños. Front. Public Health 3:250.Zaraket H, et al. Association of early annual peak influenza activity with El Niño southern oscillation in Japan. Influenza andOther Respiratory Viruses 2008; 2(4): 127–130.


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