本数据为2022年至2025年祁连山高寒灌丛气象积雪观测数据，观测要素为气温、湿度、大气压、表面温度、四分量辐射、反照率。观测周期为10分钟，通过平均计算获取各参数的日值。\n
本数据主要基于国家自然科学基金项目“灌丛化对干旱区山区积雪积累和消融过程的影响研究（42171147）”支持，用于监测高寒灌丛区气象及积雪变化。
", "ds_source": "本数据为观测数据集：空气温湿度采用HKT-HC2传感器，二维超声测风仪采用WDS2传感器，辐射四分量净辐射采用NR01传感器，表面温度传感器采用HKT-SI111，数采采用CR350控制器。
", "ds_process_way": "观测周期为10分钟，通过平均计算获取各参数的日值。
", "ds_quality": "数据质量好，中间无中断。
", "ds_acq_start_time": "2022-10-03 00:00:00", "ds_acq_end_time": "2025-07-30 00:00:00", "ds_acq_place": "青海省海北州祁连县扎麻什乡葫芦沟流域", "ds_acq_lon_east": 99.53972222222222, "ds_acq_lat_south": 38.11944444444445, "ds_acq_lon_west": 99.5, "ds_acq_lat_north": 38.16972222222222, "ds_acq_alt_low": 3200.0, "ds_acq_alt_high": 3300.0, "ds_share_type": "apply-access", "ds_total_size": 490490, "ds_files_count": 2, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "45f6a527-779f-4f59-93df-1cbd2103d894.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15", "170.5525" ], "quality_level": 3, "publish_time": "2025-12-16 09:47:56", "last_updated": "2026-05-20 10:59:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7032.2025", "i18n": { "en": { "title": "Meteorological Snow Observation Dataset of Alpine Shrubs in Qilian Mountains (2022-2025)", "ds_format": "*.xlsx", "ds_source": "This data is an observation dataset: HKT-HC2 sensor is used for air temperature and humidity, WDS2 sensor is used for two-dimensional ultrasonic anemometer, NR01 sensor is used for radiation four component net radiation, HKT-SI111 sensor is used for surface temperature, and CR350 controller is used for data acquisition.
", "ds_quality": "Good data quality with no interruptions in between.
", "ds_ref_way": "", "ds_abstract": "This data is the meteorological snow cover observation data of high-altitude shrubs in the Qilian Mountains from 2022 to 2025. The observation elements include temperature, humidity, atmospheric pressure, surface temperature, four component radiation, and albedo. The observation period is 10 minutes, and the daily values of each parameter are obtained through average calculation.\r\n
This data is mainly based on the support of the National Natural Science Foundation project \"Research on the Impact of Shrubland on Snow Accumulation and Melting Processes in Arid Mountainous Areas (42171147)\", and is used to monitor meteorological and snow changes in high-altitude shrub areas.
", "ds_time_res": "", "ds_acq_place": "Hulugou watershed, Zhamashi Township, Qilian County, Haibei Prefecture, Qinghai Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The observation period is 10 minutes, and the daily values of each parameter are obtained through average calculation.
", "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, "ds_topic_tags": [ "气象", "气温", "湿度", "大气压", "表面温度", "四分量辐射", "反照率", "祁连山" ], "ds_subject_tags": [ "大气科学", "水文气象学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山" ], "ds_time_tags": [ 2022, 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "刘章文", "email": "zwliu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "韩春坛", "email": "hancht@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "陈仁升", "email": "crs2008@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_meta_authors": [ { "true_name": "刘章文", "email": "zwliu@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": "刘章文", "email": "zwliu@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": "积雪" }