Abstract
In this work, we use the gridded precipitation dataset (with a resolution of 0.5° × 0.5°) of the eastern part of inland river basin of Inner Mongolian Plateau from 1961–2015 as the basis and adopt the methods of climatic diagnosis (e.g., the Modified Mann-Kendall method, principal component analysis, and correlation analysis) to analyze the spatial and temporal variations of six extreme precipitation indices. Furthermore, we analyzed the relationship between El Niño–Southern Oscillation (ENSO) events and the observed extreme precipitation. The results indicated that the gridded dataset can be used to describe the precipitation distribution in our study area. In recent 55 years, the inter-annual variation trends of extreme precipitation indices are generally dominated by declination except for the maximum precipitation over five days (RX5DAY) and the heavy precipitation (R95P), in particular, the decreasing regions of consecutive dry days (CDD) accounts for 91% of the entire basin, 17.28% of which is showing the significant downward trend. Contrary to CDD, the spatial distribution of the other five indices is gradually decreasing from northeast to southwest, and the precipitation intensity (SDII) ranges from 3.8–5.3 mm·d−1, with relatively small spatial differences. To some extent, CDD and R95P can used to characterize the extreme precipitation regimes. Moreover, the number of days with heavy precipitation (RR10), SDII, and R95P are more susceptible to the ENSO events. In addition, the moderate El Niño event may increase the probability of CDD, while the La Niña events may increase the risk of the heavy rainfall regime in the study area.
Highlights
Against the background of global warming, the precipitation in some area are generally exhibiting the extreme trend, the intensity and frequency are continuously increasing [1,2,3,4]
Previous studies showed that the climate anomaly have some correlation with El Niño–Southern Oscillation (ENSO) event [9,10], which make the research of extreme climate phenomenon more complicated
The spatial distribution of the analysis, the results show that the first principal component accounts for of the total variance, variation magnitude for R95P is dominated by the decreasing trend, being mainly located in the which included almost all ofaccounts the indices and area, consecutive wet days (CWD), the loads of the component central of study area, which for except
Summary
Against the background of global warming, the precipitation in some area are generally exhibiting the extreme trend, the intensity and frequency are continuously increasing [1,2,3,4]. The disasters that are caused by the frequency occurrence of the precipitation extremes in different countries were more and more serious [5,6,7,8]. 27 extreme climate indices (16 extreme temperature indices and 11 extreme precipitation indices) from 1998 to 2001 [11] Based on these indices, the studies on extreme precipitation events in different regions have become the focus of global hydrological and meteorological experts [12,13,14].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
