GB/T 33669-2017 in English
VALIDMonitoring indices of precipitation extremes
- Issued on:2017-05-12
- Implemented on:2017-12-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$107.00
《GB/T 33669-2017极端降水监测指标》由TC540（全国气候与气候变化标准化技术委员会）归口，主管部门为中国气象局。
Introduction
National Standard of the People's Republic of China GB/T 33669—2017
Monitoring indices of precipitation extremes
Background and significance of standard formulation
This standard was proposed by the China Meteorological Administration to standardize and unify the monitoring, assessment and service work of extreme precipitation. With the intensification of global climate change, extreme precipitation events have occurred frequently, and scientific monitoring and assessment of the impact of these events on the social economy and ecological environment are of vital importance.
Technical evolution analysis
The standard uses an advanced generalized extreme value distribution (GEV) theoretical probability model to calculate the return period. Compared with the traditional extreme value statistical method, GEV can better fit the precipitation characteristics of different climate zones and improve the accuracy of monitoring indicators.
Comparison of standard frameworks
| Standard dimensions | Old version requirements | New version requirements | Improvement description |
|---|---|---|---|
| Monitoring indicators | Daily precipitation | Multi-dimensional indicators such as extreme daily precipitation and number of consecutive extreme precipitation days | Added continuity analysis to more comprehensively reflect precipitation characteristics |
| Calculation method | Simple percentile method | Generalized extreme value distribution (GEV) model | Introducing advanced probability and statistical theories to improve scientificity |
| Data requirements | Single-source data | Multi-source data fusion and quality control | Enhancing data reliability |
Term explanation and practical application cases
Extreme threshold (extremethresholdvalue)
Definition: The critical value of a statistic reaching an extreme condition. In this standard, the 95th percentile is used as the basis for judgment.
Case: In 2021, Zhengzhou experienced heavy rains, with daily precipitation exceeding the local historical extreme value, meeting the extreme threshold condition.
Implementation Suggestions
- Strengthen the construction of meteorological observation station network to improve data collection accuracy and transmission efficiency
- Establish a regional precipitation characteristics database to support GEV model parameter optimization
- Carry out risk assessment of extreme precipitation events and formulate targeted defense measures
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