GB/T 34412-2017 in English

GB/T 34412—2017 Professional Interpretation of Statistical Methods for Ground Standard Climate Values

1. Background of Standardization and Analysis of Technical Evolution

This standard is under the jurisdiction of the National Technical Committee for Basic Meteorological Information Standardization and was proposed and drafted by the China Meteorological Administration. The background of its formulation is mainly to meet the needs of modern climate change research and meteorological services and to ensure the accuracy and consistency of climate data. Technically, it refers to the relevant specifications of the World Meteorological Organization (WMO) and is optimized in combination with the actual experience of China's meteorological observation.

2. Comparison of standard frameworks

3. Data quality control and homogenization processing

4. Implementation Suggestions

4.1 Data Collection and Processing

It is recommended to use automated meteorological observation stations for data collection and to perform quality control through the QX/T118 standard. Special attention:

• 20:00 every day is the solar boundary to avoid time confusion
• Sunshine uses true solar time, with midnight as the solar boundary
• Record relocation or equipment replacement in a timely manner and process them in sections

4.2 Statistical analysis and application

In actual applications, it is recommended to combine the climate data analysis platform for statistics, and focus on:

• Calculation accuracy of standard climate values (30-year average)
• Applicable scenarios and restrictions of temporary climate values
• The impact of homogeneity test results on long-term trend analysis

4.3 Report writing specifications

It is recommended to include the following in the report:

• Data source and processing method: Detailed description of observation station information and data preprocessing steps
• Statistical results presentation: Use tables and charts to clearly present the main climate indicators
• Uncertainty analysis: Assess the impact of missing data and outliers on the results

5. Summary and Outlook

GB/T 34412—2017 provides comprehensive methodological support for the standardized statistics of ground climate values. With the deepening of climate change research, it is recommended to optimize the following aspects in the future:

• Introduce machine learning algorithms to improve the accuracy of homogenization processing
• Establish a mechanism for sharing climate data among regions
• Develop more intelligent climate statistical analysis tools