Tree Rings and Observations Suggest No Stable Cycles in Sierra Nevada Cool‐Season Precipitation
Tree Rings and Observations Suggest No Stable Cycles in Sierra Nevada Cool‐Season Precipitation
复制标题
树木年轮和观测表明内华达山脉凉爽季节降水没有稳定的周期
DOI：
10.1029/2020wr028599
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发表时间：
2021
影响因子：
5.4
通讯作者：
Cook, E. R.
中科院分区：
文献类型：
--
作者：
Williams, A. P.;Anchukaitis, K. J.;Woodhouse, C. A.;Meko, D. M.;Cook, B. I.;Bolles, K.;Cook, E. R.
California’s water resources rely heavily on cool‐season (November–March) precipitation in the Sierra Nevada. Interannual variability is highly volatile and seasonal forecasting has little to no skill, making water management particularly challenging. Over 1902–2020, Sierra Nevada cool‐season precipitation totals exhibited significant 2.2‐ and 13–15‐year cycles, accounting for approximately 40% of total variability and perhaps signifying potential as seasonal forecasting tools. However, the underlying climate dynamics are not well understood and it is unclear whether these cycles are stable over the long term. We use tree rings to reconstruct Sierra Nevada cool‐season precipitation back to 1400. The reconstruction is skillful, accounting for 55%–74% of observed variability and capturing the 20th‐century 2.2‐ and 13–15‐year cycles. Prior to 1900, the reconstruction indicates no other century‐long periods of significant spectral power in the 2.2‐ or 13–15‐year bands. The reconstruction does indicate significant cyclicity over other extended periods of several decades or longer, however, with dominant periodicities in the ranges of 2.1–2.7 and 3.5–8 years. The late 1700s through 1800s exhibited the highest‐amplitude cycles in the reconstruction, with periodicities of 2.4 and 5.7–7.4 years. The reconstruction should serve to caution against extrapolating the observed 2.2‐ and 13–15‐year cycles to guide future expectations. On the other hand, observations and the reconstruction suggest that interannual variability of Sierra Nevada cool‐season precipitation is not a purely white noise process and research should aim to diagnose the dynamical drivers of extended periods of cyclicity in this critical natural resource.
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