QX/T 418-2018 in English
VALIDCoding format for aerological observing data. BUFR
- Issued on:2018-04-28
- Implemented on:2018-08-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$825.00
| Standard No: | QX/T 418-2018 |
| Document status: | VALID |
| Title in English: | Coding format for aerological observing data. BUFR |
| Title in Chinese: | 高空气象观测数据格式BUFR编码 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2018-04-28 |
| Implemented on: | 2018-08-01 |
| Professional Classification: | QX-Meteorology |
| Related Keywords: | data segment observation value
observation data data type aerological observing data data segmentvariablecontains |
| Related Topics: | data observation
measured data Weather bufr Air detection data Air Data Sheet Coding and Data Format of Surface Meteorological Elements Measurement of Meteorological Data data observation objective data small meteorological data air dataset Air detection data analysis equipment Surface Atmospheric Aerosol Observation Data Format BUFR Meteorological monitoring system data |
Introduction
Interpretation of the core content of the standard
This standard specifies the BUFR (Binary Universal Form for Representation) encoding rules for high-altitude integrated sounding and separate wind observation data, and is applicable to the representation and exchange of observation data from land, ships and mobile platforms.
Encoding structure comparison
| Data segment | Number of octets | Core function | International differences |
|---|---|---|---|
| Indicator segment | 8 | Start flag "BUFR" + data length + version number | Using WMO 2015 version 4 |
| Identifier segment | 23 | Main meter number (0 for meteorological discipline), processing center (38 for Beijing), data type (2 for high altitude) | Subtype distinguishes Chinese station types |
| Data description segment | 9 | Descriptor sequence 309192 represents high-altitude detection elements | Compression methods support 128/192 |
| Data segment | Variable | Contains 9 types of observation elements, see Data segment analysis | Domestic extended sensor type code |
Key technologies of data segment
Observation value encoding formula: Encoded value = original value × 10Scale factor - reference value, key parameters include:
- Scale factor: determines data accuracy (e.g., a scale factor of 2 corresponds to an accuracy of 0.01)
- Base value: ensures that the encoded value is non-negative
- Data width: the number of binary digits, if insufficient, the high bit is filled with 0
Typical feature encoding example
| Feature | Unit | Scale factor | Base value | Number of bits |
|---|---|---|---|---|
| Air pressure | Pa | -1 | 0 | 14 |
| Temperature | K | 2 | 0 | 16 |
| Wind speed | m/s | 1 | 0 | 12 |
Implementation suggestions
Data quality control
Refer to Appendix A.6 Quality identification code:
- Code 1: Passed automatic quality control + manual review
- Code 5: Automatic quality control failed but manual re-interpolation was required
- Code 15: Missing values require all bits to be set to 1
Device compatibility
Domestic mainstream device coding correspondence:
| Device type | Code table | Typical value |
|---|---|---|
| Sounding instrument | A.1 | 131-146 (Taiyuan GTS1/Shanghai GTS3, etc.) |
| Sensor | A.9-A.11 | Silicon capacitor (3)/Chip capacitor (5)/Dual heating humidity sensor (7) |
Technology evolution analysis
Compared with QX/T 120-2010 and 121-2010:
- New Mobile platform observation type (data subtype 3/6)
- Support second-level sampling data (data segment part 8/9)
- Extended
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