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QX/T 139-2020 in English

QX/T 139-2020 in English

VALID

Level 1C data format of polar orbiting meteorological satellite atmospheric vertical sounding data - Radiance

  • Issued on:2020-01-21
  • Implemented on:2020-05-01
  • File Format:PDF
  • Delivery:Via email within 5 business days
Price(USD): $360.00
$350.00
Standard No: QX/T 139-2020
Document status: VALID
Title in English: Level 1C data format of polar orbiting meteorological satellite atmospheric vertical sounding data - Radiance
Title in Chinese: 极轨气象卫星大气垂直探测资料L1C数据格式 辐射率
Language: English
File Format: Electronic (PDF)
Delivery: Via email within 5 business days
Issued on: 2020-01-21
Implemented on: 2020-05-01
Superseding: QX/T 139-2011 Name and Format for Satellite Atmospheric Vertical Sounding Data
ICS Classification: 07.060-Geology. Meteorology. Hydrology
Chinese Classification: A47-Meteorology
Professional Classification: QX-Meteorology
Related Topics: planetary atmosphere
is139
scientific exploration satellite
scientific exploration satellite
Atmospheric Ultraviolet Radiation Data
Atmospheric daily data
Satellite Radiation Data
Bubble size detection
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qx/t-2020
qx/t 567-2020

本标准规定了极轨气象卫星大气垂直探测的辐射率L1C数据的数据内容和数据格式。本标准适用于国内外极轨气象卫星大气垂直探测的辐射率L1C数据的处理、交换和应用。FY-3 MWRI辐射率L1C数据的格式可参照本标准执行。


Introduction

Analysis of the core content of the standard

Evolution of data format technology

Compared with the 2011 version of the standard, QX/T 139-2020 mainly achieves three aspects of upgrades:

  • Focusing on polar-orbiting satellite radiance data, deleting the original file naming specification
  • Adding 8 new instrument identifiers such as ATMS and CrIS
  • Introducing the BUFR coding system, compatible with WMO international standards

Comparison of key data structures

Element type 2011 version 2020 version Description of changes
Basic information 19 items 21 items Added satellite orbit altitude (Sat_scalti)
Extended information None 8 items Added cloud water content, ocean surface wind speed and other elements
Encoding method Binary Binary+BUFR Compatible with international meteorological data exchange standards

Typical application scenarios

FY-3D satellite data processing example

When processing HIRAS instrument data:

  1. Confirm satellite ID 523 and instrument ID 955 according to Appendix A
  2. Extract brightness temperature data of 1370 channels according to the format of Table 1
  3. Use the BUFR compression encoding rules in Section 5.2 to process the scan point data

Implementation suggestions

  • Data quality control: Pay special attention to the quality identification of the Obs_dataqual field
  • International collaboration: When processing MetOp satellite data, the land surface identification defined by WMO should be used
  • Hyperspectral data: Instruments such as AIRS need to select channels before encoding

Highlights of standard technology

Technical features Description Application value
Dynamic bit width encoding Variable length storage is achieved through descriptors such as 201134 Save more than 30% storage space
Delay repetition factor 031002 descriptor defines the number of channels Compatible with instruments with different spectral resolutions
Missing value unified processing All-1 encoding indicates missing measurement Ensure data integrity

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