中亚大湖区数据库-地面气象要素数据集（2019-2021）

1) 数据内容：中亚大湖区数据库文件，包含2019-2021年中亚大湖区基础气象站点大气湿度、大气温度、大气压力、当日降雨量、风速、风向观测数据。
2) 数据来源及加工方法：数据来源于11个气象站点（站点号：118、130、450、1130、1131、1132、1133、1134、1135、1137、1138）的站点观测数据未经加工处理。
3) 数据质量描述：本数据为站点数据，时间分辨率为1分钟。数据质量控制过程包括4个步骤（1）气候学界限检查；（2）气候机制检查；（3）内部一致性检查；（4）时间一致性检查。
4) 数据应用成果及前景：本数据为基本观测数据，为中亚大湖区数据库的重要组成部分，可为后续的气象、生态、水文、环境等研究领域提供数据支持、为项目研究的开展提供支撑。

1) Dataset Content: Database files of the Great Lakes Region of Central Asia, containing observational data including atmospheric humidity, air temperature, atmospheric pressure, daily rainfall, wind speed and wind direction from basic meteorological stations in this region during 2019-2021.
2) Data Source and Processing Method: The data is derived from the in-situ observational data of 11 meteorological stations (station codes: 118, 130, 450, 1130, 1131, 1132, 1133, 1134, 1135, 1137, 1138) without any post-processing.
3) Data Quality Description: This is station-based observational data with a temporal resolution of 1 minute. The data quality control procedure consists of four steps: (1) Climatological limit check; (2) Climatological mechanism check; (3) Internal consistency check; (4) Temporal consistency check.
4) Data Application Achievements and Prospects: As basic observational data, this dataset is a critical component of the database for the Great Lakes Region of Central Asia. It can provide data support for subsequent studies in fields such as meteorology, ecology, hydrology and environmental research, and offer backing for the implementation of relevant research projects.