QX/T 280-2015 in English
VALIDMonitoring indices of high temperature extremes
- Issued on:2015-07-28
- Implemented on:2015-12-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$127.00
| Standard No: | QX/T 280-2015 |
| Document status: | VALID |
| Title in English: | Monitoring indices of high temperature extremes |
| Title in Chinese: | 极端高温监测指标 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2015-07-28 |
| Implemented on: | 2015-12-01 |
| ICS Classification: | 07.060-Geology. Meteorology. Hydrology |
| Chinese Classification: | A47-Meteorology |
| Professional Classification: | QX-Meteorology |
| Related Keywords: | extreme high temperature
extreme daily high temperature extreme high temperature event high temperature consecutive high temperature days |
| Related Topics: | extreme
Monitoring indicators extreme heat Extreme low temperature and cooling monitoring indicators Electrode index Monitoring indicators extreme temperature extreme observation QX year extreme Performance Monitoring Index Indicator electrode Electrode index Extremely high temperature in recent years Saving atmospheric monitoring indicators qx/t-264-2015 |
Introduction
Interpretation of the core content of the standard
This standard defines three major monitoring indicators of extreme high temperature: extreme daily high temperature (≥95 percentile), consecutive high temperature days (≥35℃ consecutive days) and return period (GEV model calculation). The climate standard period uses the last three consecutive decades (such as 1981-2010) to construct 60 sample sequences.
Comparison of key technologies
| Indicator type | Calculation basis | Extreme threshold | Data requirements |
|---|---|---|---|
| Extreme daily high temperature | Daily maximum temperature | 95th percentile | 20-20 observed data |
| Number of consecutive high temperature days | Number of consecutive days with ≥35℃ | ≥2 days | Continuous complete sequence |
| Recurrence period | GEV distribution | Location/scale/shape parameters | Extreme Value Sequence |
Technical Analysis of GEV Model
The generalized extreme value distribution (GEV) describes extreme events through the location parameter (ξ), scale parameter (α) and shape parameter (κ):
- When κ=0, it is a Gumbel distribution (exponential decay)
- When κ>0, it is a Frechet distribution (heavy-tailed characteristic)
- When κ<0, it is a Weibull distribution (bounded extreme value)
In actual application, the 50-year return period of the extreme high temperature event (41.1℃) in Beijing in 2013 was calculated by GEV, and the parameter estimation used the L-moment method to reduce small sample errors.
Implementation recommendations
- Data quality control: Inhomogeneous data caused by station migration or instrument changes need to be eliminated
- Parameter optimization: It is recommended to use the Bootstrap method to verify the stability of GEV parameters
- Threshold calibration: When there are large regional climate differences, the percentile (such as 90 or 98) can be adjusted
Standard evolution analysis
Compared with QX/T 50-2007, this standard innovatively introduces:
- The concept of dynamic climate standard period (updated every 10 years)
- Probability-based extreme event judgment framework
- Internationally accepted GEV calculation method
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