作者: Dev Millstein , Joshua Solomon-Culp , Meina Wang , Paul Ullrich , Craig Collier
DOI: 10.1007/S00382-018-4421-Y
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摘要: The accurate characterization of seasonal and inter-annual site-level wind energy variability is essential during project development. Understanding the features probability low-wind years particular interest to developers financers. However, a dearth long-term, hub-height observations makes these characterizations challenging, thus techniques improve are great value. To resource characterization, we explicitly link (at hub-height, at specific sites) regional synoptic scale regimes. Our approach involves statistical clustering high-resolution modeled data, applied California for period covering 1980–2015. With this approach, investigate unique meteorological patterns driving low high five separate sites. We also find regime changes over 36-year consistent with global warming: regimes associated anomalously hot summer days increased half day per year stagnant conditions one-third year. Despite changes, average annual potential remained constant all Additionally, identify correlations between climate modes frequency, linkage valuable forecasting. general can be in any location may benefit many aspects evaluation