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GB/T 33669-2017 Extreme precipitation monitoring indicators
GB/T33669-2017
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This standard specifies the daily precipitation extreme monitoring indicators of a single station and their calculation methods. ?
This standard is applicable to extreme precipitation monitoring, assessment and service work.
Some standard content:
ICS07.060 National Standard of the People's Republic of China GB/T33669—2017 Monitoring indices of precipitation extremes2017-05-12Issued General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of ChinaStandardization Administration of the People's Republic of China 2017-12-01Implementation 1 Scopebzxz.net 2 Terms and definitions 3 Monitoring indicators Data and calculation methods Appendix A (Normative Appendix) Generalized extreme value distribution (GEV) method References GB/T33669—2017 Hii KAoi KAca iiKAoiKAca This standard was drafted in accordance with the rules given in GB/T1.1-2009. This standard was proposed by the China Meteorological Administration. This standard is under the jurisdiction of the National Technical Committee for Climate and Climate Change Standardization (SAC/TC540). The drafting unit of this standard: National Climate Center. The main drafters of this standard: Zou Xukai, Gao Rong, Wang Zunya, Chen Xianyan. GB/T33669—2017 Hii KAoi KAca HiiKAoNiKAca 1 Scope Extreme precipitation monitoring indicators This standard specifies the extreme monitoring indicators of daily precipitation at a single station and their calculation methods. This standard applies to extreme precipitation monitoring, assessment and service work. 2 Terms and definitions The following terms and definitions apply to this document. 2.1 Precipitation amount The depth of precipitation accumulated on the horizontal surface without evaporation, infiltration or loss in a certain period of time. 2.2 Climate normal period climate normal period The three consecutive whole years used to calculate the multi-year average of meteorological elements. Example: 1981-2010 is the climate standard period used for 2011-2020. 2.3 Percentile percentile GB/T33669—2017 Sort a set of data from small to large and calculate the corresponding cumulative percentile. The value of the data corresponding to a certain percentile is the percentile of this percentile. extreme percentile value Extreme value The critical value of a statistic reaching an extreme condition. The 95th percentile is used as the extreme threshold for extreme precipitation. 2.5 extremum The maximum or minimum value of a statistic or monitoring indicator within a certain period of time. 2.6 Continuous precipitation consecutive precipitation The phenomenon that the daily precipitation is greater than or equal to 0.1mm for multiple consecutive days (greater than or equal to 2 days). 2.7 Continuous days of precipitation consecutive days of precipitation The total number of consecutive days with daily precipitation greater than or equal to 0.1mm. 2.8 Continuous precipitation consecutive precipitation amounts The accumulated precipitation within consecutive precipitation days. 2.9 monthreturn period recurrence period the time interval between the recurrence of a specific value of a statistic, measured in years. Hii KAoNi KAca GB/T33669—2017 3 Monitoring indicators 3.1 Extreme daily precipitation Daily precipitation greater than or equal to the daily precipitation extreme threshold. 3.2 Extreme continuous precipitation days The number of continuous precipitation days greater than or equal to the continuous precipitation extreme threshold. 3.3 Extreme continuous precipitation The cumulative amount of continuous precipitation greater than or equal to the continuous precipitation extreme reading value. 3.4 Extreme precipitation recurrence period The recurrence period of extreme precipitation index greater than or equal to the extreme precipitation recurrence period threshold. Data and calculation method 4.1 Data used Daily precipitation observation data (the statistical period uses Beijing time 20:00-20:00 or 08:00-08:00). 4.2 Calculation method 4.2.1 Determination of extreme precipitation threshold Use percentile to determine the extreme precipitation threshold, that is, take the extreme value and sub-extreme value of a precipitation index in each year during the climate standard period (such as 1981-2010), and construct a sequence containing 60 samples; sort the sequence from small to large, and take the 95th percentile as the extreme threshold of excessive (large) precipitation. Events greater than or equal to this threshold are extreme excessive (large) events. 4.2.2 Calculation method of extreme precipitation return period The generalized extreme value distribution (GEV) theoretical probability model is used to calculate the return period of each extreme precipitation index. The method is shown in Appendix A. 2 iiAoiKAca A.1 Generalized Extreme Value Distribution Appendix A (Normative Appendix) Generalized Extreme Value Distribution (GEV) Method GB/T33669—2017 In meteorological probability statistics, three extreme value distribution functions, Gumbel, Fréchet and Weibull, are often used to fit the extreme values of climate elements. These three distribution models can be written as a general formula , that is, the extreme value distribution function with three parameters, is called the generalized extreme value distribution (GEV). Its theoretical distribution function is shown in formula (A.1): [F()=exp[-(1-ky)k0 [F()=exp[-exp(—y)] where y is shown in formula (A.2): where: random variable; scale parameter; β-location parameter; shape parameter. When k≠0, the GEV distribution function is shown in formula (A.3):F(r)=exH where ko, it obeys Weibull distribution. When k=0, it obeys Gumbel distribution, see formula (A.4): F(r)=exp A,2Use generalized extreme value distribution function to calculate the return period exp For the quantile I of the return period T, there is a distribution function, see formula (A.5): F(T)=1- From this, the corresponding quantile I can be solved to see formula (A.6): =β+[1-(-1n(1-)) =βaln[-In(1-)] Where: Return period. .(A.4) Hii KAoi KAca GB/T33669—2017 References GB/T28592—2012 Precipitation levels QX/T52—2007 Specifications for surface meteorological observations Part 8: Precipitation observations [3] Ding Yuguo, Jiang Zhihong. Introduction to extreme climate research methods [M]. Beijing: Meteorological Press. 2009 [4] Shi Daoji. Practical extreme value statistical methods [M]. Tianjin: Tianjin Science and Technology Press, 2005 [5] Gao Rong, Zou Xukai, Wang Zunya, Zhang Qiang, etc. Atlas of Extreme Weather and Climate Events in China[M. Beijing: Meteorological Press. 2012[6] Alexander LV et al, Global observed changes in daily climatic extremes of temperature and precipitation.JGeophysRes2006,111.D05109.doi:10.1020/2005JD006290[7J Jones PD, Horton EB, Folland CK, et al. The use of indices to identify changes in climaticextremes.ClimaticChange,199942,131-149[8]J Zhai P., Zhang X, .Wan H, Pan X. Trends in Total Precipitation and Frequency of DailyPrecipitationExtremesoverChina,J.Climat.,2005,18(7),1096-1108[9] Zhang, X., Alexander, L., Hegerl, GC, et al. Indices for monitoring changes inextremes based on daily temperature and precipitation data. WIREs Clim Change, 201l, 2: 851-870.doi:10.1002/wcc.147 GB/T33669-2017 People's Republic of China National Standard Extreme Precipitation Monitoring Index GB/T33669—2017 Published and distributed by China Standards Press No. 2, Hepingli West Street, Chaoyang District, Beijing (100029) No. 16, Sanlihe North Street, Xicheng District, Beijing (100045) Website: spc.net.cn Total Editorial Office: (010) 68533533 Distribution Center: (010) 51780238 Reader Service Department: (010) 68523946 Printed by China Standard Press, Taihuangdao Printing Factory Distributed by Xinhua Bookstores in various regions Format 880X12301/16 Printing Sheet 0.75 Word Count 10,000 First Edition in May 2017 First Printing in May 2017 Book Number: 155066·1-55982 Price 16.00 RMB Tip: This standard content only shows part of the intercepted content of the complete standard. If you need the complete standard, please go to the top to download the complete standard document for free.