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- W191388229 abstract "The El Nino Southern Oscillation (ENSO) is a well-known source of inter-annual climate variability for both precipitation and temperature in the northern Great Plains. The northern Great Plains also have the largest wind resource in the United States. With the continued growth of wind energy, ENSO’s effect on wind speed needs to be examined because of our current lack of understanding about how wind speeds are affected by inter-annual variability. After having previously established that a teleconnection to ENSO exists, we set out to quantify the uncertainty in this relationship with this study. Our method uses the sign test and resampling of hourly airport wind speed measurements for the past half-century at 4 airports in both North Dakota and South Dakota. Airport data are useful in this case because they have very long and continuous measurement of hourly wind speed. With this data, we were able to show that ENSO did have an effect on wind speeds as well as on wind power. The warm phase of El Nino, in particular, was correlated with the largest reductions in wind speed in South Dakota. In North Dakota, it was the cold phase that produced the largest reduction in wind power. The largest differences occurred in April, while the smallest differences occurred in July. It is our hope that this method will also be a useful tool for wind farm developers across the country to more accurately assess the value of their site based on limited in-situ data." @default.
- W191388229 created "2016-06-24" @default.
- W191388229 creator A5032186633 @default.
- W191388229 date "2006-12-01" @default.
- W191388229 modified "2023-10-17" @default.
- W191388229 title "Statistical Methods for Quantifying Uncertainty in ENSO on Wind Power in the Northern Great Plains" @default.
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