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GB/T 34412-2017 English PDF

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GB/T 34412-2017: Statistical method for surface standard climate normal
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Basic data

Standard ID GB/T 34412-2017 (GB/T34412-2017)
Description (Translated English) Statistical method for surface standard climate normal
Sector / Industry National Standard (Recommended)
Classification of Chinese Standard A47
Classification of International Standard 07.060
Word Count Estimation 14,177
Date of Issue 2017-09-29
Date of Implementation 2018-04-01
Issuing agency(ies) General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China

GB/T 34412-2017: Statistical method for surface standard climate normal

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Statistical method for surface standard climate normals ICS 07.060 A47 National Standards of People's Republic of China Ground standard climate value statistical methods 2017-09-29 Posted 2018-04-01 implementation General Administration of Quality Supervision, Inspection and Quarantine of People's Republic of China China National Standardization Administration released Directory Preface Ⅰ 1 Scope 1 2 Normative references 1 3 Terms and definitions 1 4 basic data 1 4.1 effective data volume 4.2 data quality control and uniform processing 2 4.3 Auxiliary Information 2 5 statistical period 2 6 statistical items and accuracy 3 7 Statistical Methods 3 7.1 calendar year statistics 3 7.2 Yearly statistics 3 7.3 extreme year 5 7.4 statistical data that characterize the distribution of the data 5 7.5 Special handling 6 Appendix A (Informative) Ground Standard Climatic Reference Statistics Item 8 References 11

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. This standard is proposed by China Meteorological Administration. This standard by the National Meteorological Standardization Technical Committee (SAC/TC346) centralized. This standard was drafted unit. National Meteorological Information Center. The main drafters of this standard. Li Qingxiang, Cao Lijuan, Wang Bomin, Zhang Hongzheng, Xiong Anyuan, Hu Kaixi, Chen Zhe, Zhao Qi, Zhou Yongji. Ground standard climate value statistical methods

1 Scope

This standard specifies the statistical method of terrestrial standard climate values. This standard applies to the standard ground-based climate statistics, but also applies to the climatic values, temporary climate statistics.

2 Normative references

The following documents for the application of this document is essential. For dated references, only the dated version applies to this article Pieces. For undated references, the latest edition (including all amendments) applies to this document. QX/T 62 Specification for surface meteorological observatories Part 18. Preparation of meteorological records and reporting on the moon QX/T 64 Specification for Surface Meteorological Observations Part 20. Preparation of surface meteorological data and reporting QX/T 65 Specification for Surface Meteorological Observations Part 21. Statistics of missing records and incomplete records QX/T 118 Ground meteorological observation data quality control

3 Terms and definitions

The following terms and definitions apply to this document. 3.1 Statistics annualized statisticsformanyyears Statistics based on historical observations and statistical data, including multi-year average, extreme values, etc. 3.2 Climatenormals Include at least 30 consecutive years of meteorological elements of the cumulative annual statistics. 3.3 Standard climate value standardclimatenormals Meteorological element statistics of the 30-year period set by the World Meteorological Organization. Note. 30 years usually refer to 1901-1930, 1931-1960, 1961-1990. 3.4 Temporary climatic values provisionalclimatenormals If it does not meet the statistical requirements of standard or climatic values, the meteorological element will last for 10 years and 10 years or more in that period Statistics.

4 basic data

4.1 Effective data volume 4.1.1 Standard climate values During the 30-year period stipulated by WMO, the annual (monthly, ten-day, day-of-day) statistics of standard climate values should meet the effective data volume.

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