New insights into the biennial-to-multidecadal variability of the water level fluctuation in Lake Titicaca in the 20th century

IF 3.3 Q2 ENVIRONMENTAL SCIENCES Frontiers in Climate Pub Date : 2024-01-12 DOI:10.3389/fclim.2023.1325224
Juan C. Sulca, James Apaéstegui, José Tacza
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Abstract

The water disponibility of Lake Titicaca is important for local ecosystems, domestic water, industry, fishing, agriculture, and tourism in Peru and Bolivia. However, the water level variability in Lake Titicaca (LTWL) still needs to be understood. The fluctuations of LTWL during the 1921–2018 period are investigated using continuous wavelet techniques on high- and low-pass filters of monthly time series, ERA-20C reanalysis, sea surface temperature (SST), and water level. We also built multiple linear regression (MLR) models based on SST indices to identify the main drivers of the LTWL variability. LTWL features annual (12 months), biennial (22–28 months), interannual (80–108 months), decadal (12.75–14.06 years), interdecadal (24.83–26.50 years), and multidecadal (30–65 years) signals. The high- and low-frequency components of the LTWL are triggered by the humidity transport from the lowland toward the Lake Titicaca basin, although different forcings could cause it. The biennial band is associated with SST anomalies over the southeastern tropical Atlantic Ocean that strengthen the Bolivian High-Nordeste Low system. The interannual band is associated with the southern South Atlantic SST anomalies, which modulate the position of the Bolivian High. According to the MLR models, the decadal and interdecadal components of the LTWL can be explained by the linear combination of the decadal and interdecadal variability of the Pacific and Atlantic SST anomalies (r > 0.83, p < 0.05). In contrast, the multidecadal component of the LTWL is driven by the multidecadal component of the North Atlantic SST anomalies (AMO) and the southern South Atlantic SST anomalies. Moreover, the monthly time series of LTWL exhibits four breakpoints. The signs of the first four trends follow the change of phases of the multidecadal component of LTWL, while the fifth trend is zero attributable to the diminished amplitude of the interdecadal component of LTWL.
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对的的喀喀湖水位波动在 20 世纪从两年到多年变化的新认识
的的喀喀湖的水可调度性对秘鲁和玻利维亚的当地生态系统、生活用水、工业、渔业、农业和旅游业非常重要。然而,的的喀喀湖(LTWL)的水位变化仍有待了解。我们使用连续小波技术对月度时间序列、ERA-20C 再分析、海面温度(SST)和水位进行高、低通滤波器处理,研究了 1921-2018 年期间的的喀喀湖水位波动。我们还根据 SST 指数建立了多元线性回归(MLR)模型,以确定 LTWL 变率的主要驱动因素。LTWL 具有年(12 个月)、两年(22-28 个月)、年际(80-108 个月)、十年(12.75-14.06 年)、年代际(24.83-26.50 年)和多年代(30-65 年)信号。LTWL的高频和低频成分是由从低地向的的喀喀湖盆地的湿度传输引发的,尽管不同的影响因素可能导致这种情况。两年波段与热带大西洋东南部的海温异常有关,它加强了玻利维亚-东北高纬度低地系统。年际带与南大西洋南部的海温异常有关,它调节着玻利维亚高纬度的位置。根据 MLR 模式,LTWL 的十年期和年代际部分可以用太平洋和大西洋海温异常的十年期和年代际变率的线性组合来解释(r > 0.83,p < 0.05)。相反,LTWL 的年代际分量是由北大西洋海温异常(AMO)和南大西洋海温异常的年代际分量驱动的。此外,LTWL 的月时间序列显示出四个断点。前四个趋势的符号随着 LTWL 多年代分量的阶段变化而变化,而第五个趋势为零,原因是 LTWL 年代际分量的振幅减小。
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来源期刊
Frontiers in Climate
Frontiers in Climate Environmental Science-Environmental Science (miscellaneous)
CiteScore
4.50
自引率
0.00%
发文量
233
审稿时长
15 weeks
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