本数据集依托中国科学院西北生态环境资源研究院干旱区盐渍化研究站（Drylands Salinization Research Station），选取石羊河下游民勤盆地典型的盐渍化撂荒地下垫面（103.6120°E, 39.0440°N，海拔1262米），采用符合世界气象组织（WMO）标准的高精度自动气象观测系统，系统收集了2012年7月1日至2025年12月31日的日尺度观测数据。数据内容涵盖气温、相对湿度（均/最值）、风速风向、气压及降水等常规气象要素，并特异性集成了净辐射、土壤热通量、光合有效辐射和红外地表温度等地表能量平衡关键参数。该数据集通过长序列的微气象与能量平衡观测，真实揭示了荒漠-绿洲过渡带盐渍化生境的水热交换特征，可为干旱区陆面过程参数化、遥感反演算法验证及生态系统演变研究提供高质量的数据支撑。", "ds_source": "
本数据集为中国科学院西北生态环境资源研究院野外台站实测数据，依托以 Campbell Scientific CR3000 为核心的自动气象站系统采集。所有仪器均严格按照国家野外台站规范定期维护与标定。需特别说明的是，台站于 2019年4月 进行了关键传感器升级：空气温湿度由 HMP45C 升级为 Vaisala HMP155A；风速风向由 Met One 机械式升级为 Gill WindSonic 60 超声波式；辐射观测由 CNR2 升级为 Kipp & Zonen CNR4。其余要素长期保持稳定观测，包括 Apogee SI-411（红外地表温）、Hukseflux HFP01（土壤热通量）、Kipp & Zonen PQS 1（光合有效辐射）、Inc.Campbell TE525（降水）及 Vaisala PTB110（气压）。", "ds_process_way": "
本数据集对原始 30min 观测数据主要执行了质量控制与日值聚合。首先，基于物理阈值剔除异常值（如 RH > 100%、夜间短波辐射 > 5 W/m²）；对于仪器故障导致的数据缺失，统一标记为 NA 且不做插补，以严格保留观测数据的原始属性。随后进行指标聚合：降水采用日累加计算；气温、气压、风速、地表温度及能量平衡要素（净辐射、土壤热通量、PAR）采用日算术平均计算；同时筛选气温与相对湿度的日极值（Max/Min）。最终按时间序列整合并规范表头，输出为标准 .xlsx 格式。", "ds_quality": "
本数据集具有极高的可靠性与精确度。在源头控制方面，依托 Vaisala、Kipp & Zonen 等国际主流高精度传感器，并严格执行国家野外台站的定期标定与维护规范，确保了观测数据的准确性。在数据加工方面，实施了“极值剔除—逻辑检查—人工复核”的三级质量控制（QC）流程，重点剔除了超量程异常值及夜间短波辐射虚值，并严格核查了土壤水热数据的垂直梯度逻辑。在数据真实性方面，严格保留原始观测特征，对因仪器故障导致的数据缺失统一标记为 NA，未做人为插补。此外，特别提示用户注意 2019年4月 的设备升级（风速及辐射传感器更新）可能带来前后数据的系统性差异，进行长序列趋势分析时建议予以考量。", "ds_acq_start_time": "2012-07-01 00:00:00", "ds_acq_end_time": "2025-12-31 00:00:00", "ds_acq_place": "甘肃省民勤县", "ds_acq_lon_east": 103.6125, "ds_acq_lat_south": 39.04361111111111, "ds_acq_lon_west": 103.6125, "ds_acq_lat_north": 39.04361111111111, "ds_acq_alt_low": 1262.0, "ds_acq_alt_high": 1262.0, "ds_share_type": "apply-access", "ds_total_size": 474025, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "88b7c966-22a4-4eb9-be9b-eca6afd65d6c.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "c3f3820d-f5f9-43aa-ada3-00ebfbe290e6", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15", "170.4510" ], "quality_level": 3, "publish_time": "2026-01-23 10:16:51", "last_updated": "2026-01-23 10:16:51", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.MINQIN-SALIN-STN.DB7062.2026", "i18n": { "en": { "title": "Daily dataset of meteorological elements and energy balance from the Drylands Salinization Research Station (Minqin) (2012–2025)", "ds_format": "excel", "ds_source": "
This dataset is derived from in-situ observations by the Northwest Institute of Eco-Environment and Resources (CAS), acquired via an Automatic Weather Station (AWS) based on the Campbell Scientific CR3000 datalogger. All instruments are calibrated and maintained according to national standards. Notably, a major sensor upgrade occurred in April 2019: air temperature/humidity sensors were upgraded from HMP45C to Vaisala HMP155A; wind sensors from Met One (mechanical) to Gill WindSonic 60 (ultrasonic); and radiation sensors from CNR2 to Kipp & Zonen CNR4. Other instruments remained consistent, including Apogee SI-411 (infrared surface temp), Hukseflux HFP01 (soil heat flux), Campbell TE525 (precipitation), and Vaisala PTB110 (atmospheric pressure).", "ds_quality": "
This dataset maintains a high level of reliability and precision. Regarding source control, it relies on high-precision sensors from leading international manufacturers such as Vaisala and Kipp & Zonen. Regular calibration and maintenance are strictly performed in accordance with national protocols for field research stations to ensure observational accuracy. Regarding data processing, a rigorous three-stage Quality Control (QC) procedure consisting of \"extremum removal, logical consistency checks, and manual review\" was implemented. Key measures included the elimination of out-of-range outliers and spurious nighttime shortwave radiation values, as well as the verification of the vertical logical consistency of soil hydro-thermal profiles. Regarding data authenticity, the original observational characteristics are strictly preserved; data gaps resulting from instrument failure are uniformly flagged as 'NA' without artificial interpolation. Additionally, users are advised to note the systematic differences that may arise from the instrument upgrade in April 2019 (updates to wind and radiation sensors), which should be taken into account during long-term trend analysis.", "ds_ref_way": "", "ds_abstract": "
Based on long-term monitoring at the Drylands Salinization Research Station of the Northwest Institute of Eco-Environment and Resources (NIEER), Chinese Academy of Sciences (CAS), this dataset was collected from a typical underlying surface of salinized abandoned cropland in the Minqin Basin (103.6120°E, 39.0440°N, 1262 m a.s.l.) in the lower reaches of the Shiyang River. Utilizing a high-precision automatic weather observation system compliant with World Meteorological Organization (WMO) standards, daily-scale observational data were systematically compiled from July 1, 2012, to December 31, 2025. The dataset covers routine meteorological elements including air temperature, relative humidity (mean/max/min), wind speed, wind direction, atmospheric pressure, and precipitation, while specifically integrating key parameters of surface energy balance such as net radiation, soil heat flux, and infrared surface temperature. Through these long-term micro-meteorological and energy balance observations, the dataset reveals the water-heat exchange characteristics of salinized habitats within the desert-oasis ecotone, providing high-quality data support for land surface process parameterization, remote sensing inversion algorithm validation, and ecosystem evolution research in arid regions.", "ds_time_res": "日", "ds_acq_place": "Minqin County, Gansu Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The raw 30-minute observational data underwent Quality Control (QC) and daily aggregation. First, outliers were eliminated based on physical thresholds (e.g., removing RH > 100% or nighttime shortwave radiation > 5 W/m²). Data gaps resulting from instrument failure were uniformly flagged as 'NA' without gap-filling to strictly preserve the authenticity of the raw observations. Subsequently, indicator aggregation was performed: precipitation was calculated as daily sums; air temperature, pressure, wind speed, surface temperature, and energy balance elements (net radiation, soil heat flux, PAR) were calculated as daily arithmetic means; and daily extreme values (Max/Min) for air temperature and relative humidity were extracted. ly, the data were integrated into a time series with standardized headers and exported in standard .xlsx format.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "气象观测", "地表能量平衡", "土壤水热", "盐渍化撂荒地", "微气象", "干旱区", "陆面过程" ], "ds_subject_tags": [ "大气科学", "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "民勤县", "石羊河流域", "河西走廊" ], "ds_time_tags": [ 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "尤全刚", "email": "youqg@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "尤全刚", "email": "youqg@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "尤全刚", "email": "youqg@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "气象" }