空气温度、湿度、风向、风速、降雨量、降雨强度、日辐射与辐射功率是区域水源涵养功能评估及生态系统稳定性研究的重要指标。本研究利用 HKT 一体式气象传感器获取空气温度、湿度、风向、风速、降雨量、降雨强度、日辐射与辐射功率等一系列气象数据。该数据具有以下优势：连续性强、精度高，检测时间覆盖 2024 年 6 月至 2025 年 7 月，有效克服传统人工观测局限，能够更全面反映区域尺度水源涵养过程与辐射变化规律。
", "ds_source": "本研究气象数据由 HKT 一体式气象传感器获取，监测时间范围为 2024 年 6 月至 2025 年 7 月。风速测量范围为 0–40 m/s，精度 ±5%，分辨率 0.1 m/s；风向测量范围为 0–359°，精度 ±5°，分辨率 1°；降雨监测范围为 0–200 mm/h，精度 ±8%，分辨率 0.1 mm；空气温度测量范围 −40℃ 至 +80℃、精度 ±1℃、分辨率 0.1℃；空气湿度测量范围 0–100%、精度 ±3%、分辨率 1%；日辐射与辐射功率测量范围为 0–2000 W/m²，精度 ±5%，分辨率 0.1 W/m²，传感器具备实时自动化监测功能，可连续记录研究区的气象变化情况。与传统人工观测方式相比，该数据具有时序完整、空间代表性强及精度高的优势，为研究区水源涵养过程与大气环境动力学分析提供可靠支撑。
", "ds_process_way": "本研究所用风向与风速数据由 HKT 一体式气象传感器连续监测获得。首先对原始数据进行质量控制，包括异常值识别与缺测值补齐。所有气象数据以 1 小时间隔收集，对逐时监测数据进行统计；提取每日气象数据的最大值、最小值与平均值，形成日尺度时序序列。在此基础上，绘制气象数据的时序趋势图。该方法能够更细致地反映气象数据的动态变化过程及其对水源涵养的影响。
", "ds_quality": "本研究气象数据由 HKT 一体式气象传感器获取，监风速测量范围为 0–40 m/s，精度 ±5%，分辨率 0.1 m/s；风向测量范围为 0–359°，精度 ±5°，分辨率 1°；降雨监测范围为 0–200 mm/h，精度 ±8%，分辨率 0.1 mm；空气温度测量范围 −40℃ 至 +80℃、精度 ±1℃、分辨率 0.1℃；空气湿度测量范围 0–100%、精度 ±3%、分辨率 1%；日辐射与辐射功率测量范围为 0–2000 W/m²，精度 ±5%，分辨率 0.1 W/m²。传感器具备自动化与实时化特性，能够保证气象数据记录的连续性与完整性。在数据处理过程中，对原始序列进行了异常值剔除与缺测值补齐，以保证数据的连续性与稳定性结果表明差异在允许误差范围内。总体而言，该数据集具有较高的精度与可靠性，可满足水源涵养评估、区域水文循环及极端降雨事件分析的研究需求。
", "ds_acq_start_time": "2025-06-25 00:00:00", "ds_acq_end_time": "2025-07-31 00:00:00", "ds_acq_place": "木里煤田七号坑", "ds_acq_lon_east": 99.35, "ds_acq_lat_south": 38.166666666666664, "ds_acq_lon_west": 99.18333333333334, "ds_acq_lat_north": 38.266666666666666, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 20113732, "ds_files_count": 7, "ds_format": "*.xlsx,*.docx", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "61c0e6ce-0d40-44dd-91f3-7982ae235a88.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "5b99d600-008a-4069-8fc3-7adb9c3f2f8b", "ds_serv_man": "孙新建", "ds_serv_phone": "13997064591", "ds_serv_mail": "sunxj@qhu.edu.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-07-06 16:50:34", "last_updated": "2026-07-23 10:19:04", "protected": false, "protected_to": "2027-10-01 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7663.2026", "i18n": { "en": { "title": "Meteorological data dataset of Juhugeng No. 7 Well in Muli Kuangqu, Qinghai Province (2024-2025)", "ds_format": "*.xlsx,*.docx", "ds_source": "The meteorological data for this study was obtained by HKT integrated meteorological sensors, with a monitoring time range from June 2024 to July 2025. The wind speed measurement range is 0-40 m/s, with an accuracy of ± 5% and a resolution of 0.1 m/s; The wind direction measurement range is 0-359 °, with an accuracy of ± 5 ° and a resolution of 1 °; The rainfall monitoring range is 0-200 mm/h, with an accuracy of ± 8% and a resolution of 0.1 mm; the air temperature measurement range is -40 ℃ to+80 ℃, with an accuracy of ± 1 ℃ and a resolution of 0.1 ℃; The measurement range of air humidity is 0-100%, with an accuracy of ± 3% and a resolution of 1%; The measurement range of daily radiation and radiation power is 0-2000 W/m ², with an accuracy of ± 5% and a resolution of 0.1 W/m ². The sensor has real-time automated monitoring function and can continuously record the meteorological changes in the study area. Compared with traditional manual observation methods, this data has the advantages of complete time series, strong spatial representativeness, and high accuracy, providing reliable support for the analysis of water conservation processes and atmospheric environmental dynamics in the study area.
", "ds_quality": "The meteorological data for this study was obtained by HKT integrated meteorological sensors, with a wind speed measurement range of 0-40 m/s, an accuracy of ± 5%, and a resolution of 0.1 m/s; The wind direction measurement range is 0-359 °, with an accuracy of ± 5 ° and a resolution of 1 °; The rainfall monitoring range is 0-200 mm/h, with an accuracy of ± 8% and a resolution of 0.1 mm; the air temperature measurement range is -40 ℃ to+80 ℃, with an accuracy of ± 1 ℃ and a resolution of 0.1 ℃; The measurement range of air humidity is 0-100%, with an accuracy of ± 3% and a resolution of 1%; The measurement range of daily radiation and radiation power is 0-2000 W/m ², with an accuracy of ± 5% and a resolution of 0.1 W/m ². Sensors have automation and real-time characteristics, which can ensure the continuity and integrity of meteorological data recording. During the data processing, outlier removal and missing measurement filling were performed on the original sequence to ensure the continuity and stability of the data. The results showed that the differences were within the allowable error range. Overall, this dataset has high accuracy and reliability, which can meet the research needs of water conservation assessment, regional hydrological cycle, and extreme rainfall event analysis.
", "ds_ref_way": "", "ds_abstract": "Air temperature, humidity, wind direction, wind speed, rainfall amount, rainfall intensity, daily radiation and radiation power are important indicators for evaluating regional water conservation function and studying ecosystem stability. This study utilizes HKT integrated meteorological sensors to obtain a series of meteorological data, including air temperature, humidity, wind direction, wind speed, rainfall amount, rainfall intensity, daily radiation, and radiation power. This data has the following advantages: strong continuity, high accuracy, detection time covering from June 2024 to July 2025, effectively overcoming the limitations of traditional manual observation, and can more comprehensively reflect the regional scale water conservation process and radiation changes.
", "ds_time_res": "", "ds_acq_place": "No. 7 Pit in Muli Coalfield", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The wind direction and speed data used in this study were continuously monitored by HKT integrated meteorological sensors. Firstly, perform quality control on the raw data, including identifying outliers and filling in missing measurements. All meteorological data is collected at 1-hour intervals, and hourly monitoring data is statistically analyzed; Extract the maximum, minimum, and average values of daily meteorological data to form a daily scale time series. On this basis, draw a time-series trend chart of meteorological data. This method can more accurately reflect the dynamic changes in meteorological data and its impact on water conservation.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "allow_update_data": false, "ds_topic_tags": [ "气象数据", "时序趋势", "环境监测" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "青海省", "天峻县", "木里煤田七号坑" ], "ds_time_tags": [ 2024, 2025 ], "ds_contributors": [ { "true_name": "孙新建", "email": "sunxj@qhu.edu.cn", "work_for": "青海大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "孙新建", "email": "sunxj@qhu.edu.cn", "work_for": "青海大学", "country": "中国" } ], "ds_managers": [ { "true_name": "孙新建", "email": "sunxj@qhu.edu.cn", "work_for": "青海大学", "country": "中国" } ], "category": "气象" }