Climate change constitutes the superposition of climatic variations at different timescales and is affected by driving factors at multiple scales. Therefore, clarifying the changes in and driving factors of the climate at different timescales is crucial for climate predictions. Here, using the ensemble empirical mode decomposition method, we obtained four components of the western Loess Plateau (WLP) precipitation at the interannual, interdecadal, multidecadal and centennial scales and the long-term change trend, which accounted for 40.4, 33.5, 11.5, 11.6 and 3.0%, respectively, of the total variance in the tree-ring-based precipitation reconstruction during 1566–2013 AD. El Niño-Southern Oscillation (ENSO), the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Variability (AMV) mainly affected the interannual-decadal, multidecadal and centennial changes, respectively, before increasing anthropogenic aerosol emissions began influencing the WLP precipitation. Using the same method, we also obtained four components of the precipitation on the northeastern Tibetan Plateau (NETP) at different timescales and found that the interannual-decadal and multidecadal changes in the precipitation on the NETP exhibited good relationships with the changes in the WLP precipitation over the past four centuries and were also mainly affected by ENSO and the PDO, respectively. The correlation between the WLP and NETP precipitation at the centennial scale was mainly positive, and the precipitation relationship between these two regions was affected by solar radiation and the AMV to some extent. However, due to the effects of global warming on NETP precipitation and the effects of increasing anthropogenic aerosols on WLP precipitation, this correlation has become negative in recent decades, indicating that without the influences of human activities, the precipitation on the WLP would be positively related to the NETP precipitation.
With their high resolution and reliability, tree rings play a very important role in global climate change study. The long tree-ring chronology is considered as one of the most important information sources to study the climatic change in the past several thousands years. In recent years, the tree-ring researches in China have made great progress, and the temperature and precipita- tion in some areas were reconstructed[1-20] which on- tributed to the global change studies in China. Due to the… 相似文献
In summer 2020, extreme rainfall occurred throughout the Yangtze River basin, Huaihe River basin, and southern Yellow River basin, which are defined here as the central China (CC) region. However, only a weak central Pacific (CP) El Ni?o happened during winter 2019/20, so the correlations between the El Ni?o–Southern Oscillation (ENSO) indices and ENSO-induced circulation anomalies were insufficient to explain this extreme precipitation event. In this study, reanalysis data and numerical experiments are employed to identify and verify the primary ENSO-related factors that cause this extreme rainfall event. During summer 2020, unusually strong anomalous southwesterlies on the northwest side of an extremely strong Northwest Pacific anticyclone anomaly (NWPAC) contributed excess moisture and convective instability to the CC region, and thus, triggered extreme precipitation in this area. The tropical Indian Ocean (TIO) has warmed in recent decades, and consequently, intensified TIO basinwide warming appears after a weak El Ni?o, which excites an extremely strong NWPAC via the pathway of the Indo-western Pacific Ocean capacitor (IPOC) effect. Additionally, the ENSO event of 2019/20 should be treated as a fast-decaying CP El Ni?o rather than a general CP El Ni?o, so that the circulation and precipitation anomalies in summer 2020 can be better understood. Last, the increasing trend of tropospheric temperature and moisture content in the CC region after 2000 is also conducive to producing heavy precipitation. 相似文献
Tree-ring standardized chronologies are developed by 78 cores collected from the eastern and western Helan Mountain. Statistical analysis shows that both the STD and RES chronologies correlate negatively with the temperature of different periods of early half year, especially with January to August mean (JA) temperature, which means that JA temperature is one of the predominant limiting factors of tree growth in the Helan Mountain. Based on this analysis, we reconstructed JA temperature, and the explained variance is 43.3% (F=21.422, p<0.001). The comparatively high temperature periods in the reconstruction were: 1805?1818, 1828–1857, 1899–1907, 1919–1931 and 1968–1995; and the comparatively low temperature periods happened in 1858–1872, 1883–1895 and 1935–1953. Ten-year moving average curve shows three slow uplifting trends: 1766–1853, 1862–1931 and 1944–1995. Each tem-perature increase was followed by a sudden temperature decrease about 10 years, that is to say, the JA temperature in the Helan Mountain is characterized by slow increase and sudden decrease. The 70- and 10.77-year periodicities detected in the temperature series correspond to the Gleissberg (80-year) and Schwabe (11-year) periodicities of solar activity respectively, the 2.11–2.62 years cycles are considered to be influenced by QBO (Quasi-Bie- nnial-Oscillation) and the local environmental change. 相似文献