利用贝叶斯模式平均（Bayesian model averaging）方法对12种降水产品进行融合，获取了祁连山高精度2001-2018年月尺度降水数据。气象站点和流域尺度的验证结果都显示该降水数据集的精度相对于12种降水产品有显著的提高，可为祁连山降水及其他相关研究提供提出基础数据。
", "ds_source": "12种降水产品来自已公开发布的数据集，分别是ERA5-Land，HAR V2，FLDAS，GLDAS，TRMM，IMERG，PERSIANN，CMORPH，CHIRPS，MSWEP，CMFD，WorldClim。
", "ds_process_way": "贝叶斯模式平均（Bayesian model averaging）
", "ds_quality": "29个气象站的验证结果中位值如下：相关系数R2=0.91；绝对误差MAE=7.6mm、均方根误差RMSE=11.9mm，一致性指数d=0.97。\n18个子流域的验证结果中位值如下：相关系数R2=0.43；绝对误差MAE=40.4mm、平均均方根误差RMSE=47.2mm，一致性指数d=0.62。
", "ds_acq_start_time": "2001-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "祁连山", "ds_acq_lon_east": 103.85416666666666, "ds_acq_lat_south": 35.85416666666667, "ds_acq_lon_west": 93.60416666666666, "ds_acq_lat_north": 39.9375, "ds_acq_alt_low": 2255.0, "ds_acq_alt_high": 5548.0, "ds_share_type": "login-access", "ds_total_size": 19275912, "ds_files_count": 19, "ds_format": "nc", "ds_space_res": "2.5′", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "cd08655a-0c0b-4dce-a298-858b08001d5c.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": "李红星", "ds_serv_phone": "+869314967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.1540", "170.5525" ], "quality_level": 3, "publish_time": "2023-10-11 08:44:54", "last_updated": "2025-04-24 17:31:45", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB4026.2023", "i18n": { "en": { "title": "Monthly Precipitation Dataset for the Qilian Mountains (2001-2018)", "ds_format": "nc", "ds_source": "Monthly Precipitation D12 precipitation products from publicly released datasets are ERA5-Land, HAR V2, FLDAS, GLDAS, TRMM, IMERG, PERSIANN, CMORPH, CHIRPS, MSWEP, CMFD, WorldClim. ataset for the Qilian Mountains (2001-2018).
", "ds_quality": "The median values of the validation results for the 29 meteorological stations were as follows: correlation coefficient R2 = 0.91; absolute error MAE = 7.6 mm, root mean square error RMSE = 11.9 mm, consistency index d = 0.97.The median values of the validation results for the 18 sub-basins were as follows: correlation coefficient R2 = 0.43; absolute error MAE = 40.4 mm, average root mean square error RMSE = 47.2 mm, and consistency index d = 0.62.
", "ds_ref_way": "", "ds_abstract": "A high-resolution monthly precipitation dataset for the Qilian Mountains (2001-2018) was generated by integrating 12 precipitation products using the Bayesian Model Averaging (BMA) method. Validation at meteorological stations and watershed scales demonstrates significant accuracy improvements compared to the original 12 products, providing reliable baseline data for precipitation studies and related hydrological research in the Qilian Mountains.
", "ds_time_res": "月", "ds_acq_place": "Qilian mountains", "ds_space_res": "2.5′", "ds_projection": "", "ds_process_way": "Bayesian Model Averaging (BMA).
", "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": [ "降水", "祁连山", "贝叶斯模式" ], "ds_subject_tags": [ "云与降水物理学", "水文气象学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山" ], "ds_time_tags": [ 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 ], "ds_contributors": [ { "true_name": "阳勇", "email": "yy177@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": "阳勇", "email": "yy177@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": "阳勇", "email": "yy177@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" }