面向黄河三角洲区域降水精细刻画与时序分析需求，本数据集基于2010—2024年地面站点逐旬降水观测资料和中国区域地面气象要素驱动数据集（CMFD）2.0，通过月尺度趋势项拟合与旬尺度残差普通克里金相结合的方法，构建了空间分辨率为0.01°的逐旬降水数据集。数据集覆盖黄河三角洲地区，共包含540个旬尺度时相、7722个栅格单元，并提供NetCDF和TIFF两类文件。利用 2021—2023 年汛期加密站点资料对普通克里金关键参数进行率定，并采用 2024 年汛期加密站点及 2010—2019 年国家气象站资料进行独立验证。结果表明该数据集能够较好反映区域降水的时空变化特征，可为水文模拟、生态环境评估、农业管理及旱涝监测预警等研究与应用提供基础数据支撑。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2010-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "黄河三角洲", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 16729468, "ds_files_count": 0, "ds_format": "*.nc，*tif", "ds_space_res": "0.01°", "ds_time_res": "旬", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "4051d781-2e79-4828-aecc-24628e70b2c6.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "952adb3f-3ede-4a94-942a-7de772f1bfc5", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15" ], "quality_level": 0, "publish_time": "2026-05-27 16:37:57", "last_updated": "2026-05-27 16:37:57", "protected": false, "protected_to": null, "lang": "zh", "cstr": "31253.11.sciencedb.j00001.01679", "i18n": { "en": { "title": "0.01° high-resolution ten-day precipitation dataset in the Yellow River Delta (2010-2024)", "ds_format": "*.nc，*tif", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
Facing the needs of fine characterization and time series analysis of precipitation in the Yellow River Delta region, this dataset is based on the ten-day precipitation observation data from surface stations from 2010 to 2024 and the China Regional Surface Meteorological Element Driven Data Set (CMFD) 2.0. Through the method of combining month-scale trend term fitting and ten-day scale residual ordinary kriging, a ten-day precipitation dataset with a spatial resolution of 0.01° is constructed. The dataset covers the Yellow River Delta area, contains a total of 540 ten-scale phases, 7722 grid cells, and provides NetCDF and TIFF files. The key parameters of ordinary kriging were calibrated using data from the 2021-2023 flood season encryption stations, and the data from the 2024 flood season encryption stations and the 2010-2019 National Meteorological Station were used for independent verification. The results show that the dataset can better reflect the spatio-temporal variation characteristics of regional precipitation, and can provide basic data support for research and applications such as hydrological simulation, ecological environment assessment, agricultural management, drought and flood monitoring and early warning.", "ds_time_res": "", "ds_acq_place": "yellow River Delta", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "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, "ds_topic_tags": [ "黄河三角洲", "逐旬降水", "空间插值", "高分辨率数据集" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "黄河三角洲" ], "ds_time_tags": [ 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024 ], "ds_contributors": [ { "true_name": "王路路", "email": "952644334@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "梁洪儒", "email": "1061804125@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "陈勇", "email": "1531316531@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "刘微", "email": "liuwei62@sdxiehe.edu.cn", "work_for": "山东协和学院", "country": "中国" }, { "true_name": "刘德虎", "email": "362757377@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "桑国庆", "email": "stu_sanggq@ujn.edu.cn", "work_for": "济南大学水利与环境学院", "country": "中国" }, { "true_name": "王琦", "email": "412435184@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "刘阳", "email": "stu_liuy@ujn.edu.cn", "work_for": "济南大学水利与环境学院", "country": "中国" }, { "true_name": "邵广文", "email": "stu_shaogw@ujn.edu.cn", "work_for": "济南大学水利与环境学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王路路", "email": "952644334@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "梁洪儒", "email": "1061804125@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "陈勇", "email": "1531316531@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "刘微", "email": "liuwei62@sdxiehe.edu.cn", "work_for": "山东协和学院", "country": "中国" }, { "true_name": "刘德虎", "email": "362757377@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "桑国庆", "email": "stu_sanggq@ujn.edu.cn", "work_for": "济南大学水利与环境学院", "country": "中国" }, { "true_name": "王琦", "email": "412435184@qq.com", "work_for": "东营市水文中心， 东营市黄河三角洲水文生态重点实验室", "country": "中国" }, { "true_name": "刘阳", "email": "stu_liuy@ujn.edu.cn", "work_for": "济南大学水利与环境学院", "country": "中国" }, { "true_name": "邵广文", "email": "stu_shaogw@ujn.edu.cn", "work_for": "济南大学水利与环境学院", "country": "中国" } ], "ds_managers": [ { "true_name": "邵广文", "email": "stu_shaogw@ujn.edu.cn", "work_for": "济南大学水利与环境学院", "country": "中国" } ], "category": "气象" }