CRU 是目前使用最广泛的气候数据集之一，由英国国家大气科学中心 (NERC Centres for Atmospheric Science (UK)，NCAS) 制作。该数据集使用角距离加权 （ADW） 插值生成，基于国家气象局和其他外部代理根据每日或亚日数据计算的每月观测数据而建立的月度网格化数据。数据主要包含了祁连山地区1958-2018的月值降水和气温数据，nc文件中每一层为一个月。", "ds_source": "
英国东英吉利大学观测数据（来源The CEDA Web Processing Service）。", "ds_process_way": "
直接下载收集。", "ds_quality": "
本数据为CRU TS V.4.06版本，是从https://www.uea.ac.uk/ 直接下载的原始数据，精度为0.5°×0.5°，数据格式为nc，并未进行其它处理。", "ds_acq_start_time": "1958-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "祁连山地区", "ds_acq_lon_east": 104.0, "ds_acq_lat_south": 35.0, "ds_acq_lon_west": 92.0, "ds_acq_lat_north": 41.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1798055, "ds_files_count": 2, "ds_format": "nc", "ds_space_res": "0.5度", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "eaa6a87b-a3bb-4757-a743-572911d2343a.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52109486-75ef-4764-a933-6380c6f42432", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.nieer.db2733.2023", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-02-28 21:37:00", "last_updated": "2025-06-30 14:55:01", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2733.2023", "i18n": { "en": { "title": "Qilian Mountain Meteorological Observation Data Set (1958 - 2018)", "ds_format": "nc", "ds_source": "
Observed data from the University of East Anglia (from The CEDA Web Processing Service).", "ds_quality": "
This data is CRU TS V.4.06, which is from https://www.uea.ac.uk/ Direct download of raw data with accuracy of 0.5 ° × 0.5 °, data format is nc, and no other processing is performed.", "ds_ref_way": "", "ds_abstract": "
CRU is one of the most widely used climate data sets, produced by the National Atmospheric Science (UK) (NCAS). The data set is generated using angular distance weighting (ADW) interpolation, and is based on monthly gridded data calculated by the National Meteorological Administration and other external agents based on daily or sub-daily data. The data mainly includes the monthly precipitation and temperature data of the Qilian Mountains from 1958 to 2018. Each layer in the NC file is a month.
", "ds_time_res": "月", "ds_acq_place": "Qilian Mountain Region", "ds_space_res": "0.5度", "ds_projection": "", "ds_process_way": "Download and collect directly.", "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, "is_paper_in_submitting": false, "ds_topic_tags": [ "CRU", "祁连山", "降水", "气温" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山地区" ], "ds_time_tags": [ 1958, 2018 ], "ds_contributors": [ { "true_name": "李育", "email": "liyu@lzu.edu.cn", "work_for": "兰州大学资源环境学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张占森", "email": "826872873@qq.com", "work_for": "兰州大学资源环境学院", "country": "中国" } ], "ds_managers": [ { "true_name": "李育", "email": "liyu@lzu.edu.cn", "work_for": "兰州大学资源环境学院", "country": "中国" } ], "category": "气象" }