塔里木盆地不同气候态参照值对极端降水量特征的影响OA
Influences of different climate normals on extreme precipitation characteristics in the Tarim Basin,China
气候态参照值是极端降水事件识别与评估的基础,其变化可能导致极端降水事件检测结果偏差,对干旱区水资源调控、洪涝灾害应急有重要意义.基于塔里木盆地39个气象站逐日降水资料,将1961-2024年划分为5个气候时段(Ⅰ态:1961-1990年,Ⅱ态:1971-2000年,Ⅲ态:1981-2010年,Ⅳ态:1991-2020年,Ⅴ态:1961-2024年),采用百分位法、线性趋势分析、变异范围法(RVA)等统计方法,对比分析了5个气候态时段强降水(R95p)和极强降水(R99p)指数的时空变化特征及参照值变化对极端降水检测的影响.结果表明:(1)气候态参照值对塔里木盆地干湿特征强度评估有显著影响:以Ⅰ态和Ⅱ态为基准值,盆地降水正距平年份占比分别为65%和53.3%、降水"偏多及以上"等级占比分别为39%和34.4%,易高估"湿"化强度;以Ⅲ态和Ⅳ态为基准值,则易高估"干"化强度.(2)R99p对阈值变化的敏感性显著高于R95p;各气候态下变异范围法评估的偏差值为0.02~0.45,盆地内20.5%~25.6%的站点出现中度偏差,空间上主要集中在昆仑山北麓平原区,气候态变化对上述区域极端降水检测有一定影响.(3)盆地极端降水高值区位于中天山高海拔山区,R95p与R99p变化趋势一致,线性倾向率分别为-22.9~11.2 mm·(10a)-1和-21.8~6.8 mm·(10a)-1,且同一气候态内增减趋势存在显著的经、纬向空间差异.(4)1961-2024年盆地极端降水量的增加主要由R95p事件主导;盆地总降水量的增加并非以极端降水主导,同步伴随其他等级降水贡献率的提升,区域降水稳定性有所增强.研究阐明了不同气候态参照值对盆地极端降水特征的影响,揭示了R95p与R99p对气候态更替响应的差异性,可为塔里木盆地极端降水检测指标的标准化及参照值选取提供科学参考.
Climate normals serve as the foundation for identifying and assessing extreme precipitation events.However,variations in these baselines can lead to biases in the detection of extreme precipitation events.Address-ing these potential biases is essential for water resource regulation and flood emergency management in arid re-gions.In this study,based on the daily precipitation data from 39 meteorological stations in the Tarim Basin,we divide the 1961-2024 period into 5 climate normal periods:Normal Ⅰ(1961-1990),Normal Ⅱ(1971-2000),Nor-mal Ⅲ(1981-2010),Normal Ⅳ(1991-2020),and Normal Ⅴ(1961-2024).Using the percentile threshold meth-od,linear trend analysis,and range of variability approach(RVA),we comparatively analyze the spatiotemporal variations of heavy precipitation(R95p)and extreme precipitation(R99p)across the five climate normal periods and assess the effects of different climate normals on extreme precipitation detection.The results demonstrate that the choice of climate normal periods substantially affects the assessment of dry/wet conditions in the Tarim Basin.When using Normals Ⅰ and Ⅱ as reference periods,the proportions of years with positive precipitation anomalies are 65%and 53.3%,respectively,and the proportions of years with precipitation classified as"above normal and higher"are 39%and 34.4%,respectively,tending to overestimate"wet"conditions.Conversely,us-ing Normals Ⅲ and Ⅳ as reference periods may overestimate"dry"conditions.The R99p index is considerably more sensitive to threshold changes than the R95p index.Deviations estimated by the RVA across different cli-mate normals range from 0.02 to 0.45,with 20.5%-25.6%of stations exhibiting moderate biases,primarily dis-tributed across plain stations at the northern foothills of the Kunlun Mountains.Therefore,the selection of climate normal periods has a noticeable impact on extreme precipitation detection in these areas.The high-value areas of extreme precipitation are concentrated in the high-altitude mountainous regions of the Central Tianshan Moun-tains.The trends in R95p and R99p are generally consistent,with linear trend rates ranging from-22.9 mm·(10a)-1 to 11.2 mm·(10a)-1 for R95p and from-21.8 mm·(10a)-1 to 6.8 mm·(10a)-1 for R99p.Moreover,within the same climate normal period,increasing and decreasing trends exhibit substantial longitudinal and latitudinal spatial dif-ferences.The increase in extreme precipitation over the basin from 1961 to 2024 is primarily attributable to R95p events.However,the increase in total precipitation is not dominated by extreme precipitation.With increasing contributions from other precipitation grades,regional precipitation stability has been enhanced.This study eluci-dates the effects of different climate normals on extreme precipitation characteristics in the Tarim Basin and high-lights the differential responses of R95p and R99p to climate normal shifts.Our findings provide a scientific refer-ence for the standardization of extreme precipitation detection indexes and the selection of reference periods in ar-id regions.
努尔比亚·吐尼牙孜;米日古丽·米吉提;阿依仙木古丽·阿布来提;洪月;颜智江
喀什地区气象局,新疆 喀什 844000喀什地区气象局,新疆 喀什 844000喀什地区气象局,新疆 喀什 844000新疆气象台,新疆 乌鲁木齐 830002喀什地区气象局,新疆 喀什 844000
塔里木盆地降水气候态气候参照值极端降水
Tarim Basinprecipitationclimate normalsclimatological reference valueextreme precipitation
《干旱区研究》 2026 (10)
2041-2056,16
新疆"天山英才"培养计划(2024TSYCJC0075)资助
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