{ "created": "2026-07-01 18:16:23", "updated": "2026-08-31 02:28:30", "id": "56a22151-5e63-4a1d-a205-b56964a00767", "version": 3, "ds_topic": null, "title_cn": "汉江流域基于图像超分辨率的0.1°汛期3 h集合预报降水数据集（2022年）", "title_en": "2022 Flood-season Ensemble Forecast Precipitation Dataset for the Hanjiang River Basin Based on Image Super-resolution", "ds_abstract": "

  本数据集基于ECMWF模式集合预报降水、气温数据，通过条件生成式对抗网络EP-cGAN模型综合利用静态地理信息和动态气象信息（温度和总云量），得到了2022年时间分辨率为3h，空间分辨率为0.1°×0.1°、0-3天预见期的汉江流域汛期集合预报降水数据集，帮助区域内提高洪水预报精度。

\n

  本数据为汉江流域2022年时间分辨率为3h，空间分辨率为0.1°×0.1°、0-3天预见期的汛期集合预报降水数据。", "ds_source": "

  采用基于ECMWF模式集合预报降水、气温数据。

", "ds_process_way": "

  条件生成式对抗网络EP-cGAN模型

", "ds_quality": "

  数据比较准确，达到精度要求。

", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "汉江流域", "ds_acq_lon_east": 106.25, "ds_acq_lat_south": 30.17, "ds_acq_lon_west": 114.33, "ds_acq_lat_north": 34.330000000000005, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 7030660574, "ds_files_count": 4, "ds_format": "*.mat", "ds_space_res": "0.1°×0.1°", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "56a22151-5e63-4a1d-a205-b56964a00767.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "44547705-9513-4685-a641-661bdf406520", "ds_serv_man": "", "ds_serv_phone": "", "ds_serv_mail": "", "doi_value": "", "subject_codes": [ "170.55" ], "quality_level": 0, "publish_time": "2026-07-17 15:02:05", "last_updated": "2026-07-20 09:39:17", "protected": false, "protected_to": "2027-01-01 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.reservoir.db7549.2026", "i18n": { "en": { "title": "2022 Flood-season Ensemble Forecast Precipitation Dataset for the Hanjiang River Basin Based on Image Super-resolution", "ds_format": "*.mat", "ds_source": "

  The ECMWF model is used to forecast precipitation and temperature data collectively.

", "ds_quality": "

  The data is relatively accurate and meets the accuracy requirements.

", "ds_ref_way": "", "ds_abstract": "

  This data set is based on the ECMWF model aggregate forecast precipitation and temperature data, and comprehensively utilizes static geographical information and dynamic meteorological information (temperature and total cloud cover) through the conditional generation adversarial network EP-cGAN model to obtain the Hanjiang River Basin flood season aggregate forecast precipitation data set with a temporal resolution of 3 hours, a spatial resolution of 0.1°×0.1°, and a forecast period of 0-3 days in 2022, helping to improve the accuracy of flood forecast in the region.

\r\n

  This data is the collective forecast precipitation data for the flood season in the Hanjiang River Basin in 2022 with a temporal resolution of 3 hours, a spatial resolution of 0.1°×0.1°, and a forecast period of 0-3 days.", "ds_time_res": "day", "ds_acq_place": "hanjiang River Basin", "ds_space_res": "0.1°×0.1°", "ds_projection": "", "ds_process_way": "

  EP-cGAN Model of Conditional Generative Addiction Networks

", "ds_ref_instruction": "None" } }, "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, "allow_update_data": false, "ds_topic_tags": [ "汛期降水" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "汉江流域" ], "ds_time_tags": [ 2022 ], "ds_contributors": [ { "true_name": "李伶杰", "email": "ljli@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李伶杰", "email": "ljli@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "李伶杰", "email": "ljli@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" } ], "category": "水文" }