本研究采用美国国家海洋和大气管理局（NOAA）提供的扩展重建海表温度数据集第5版，该数据集通过经验正交函数法整合了最新的 ICOADS R3.0 观测记录，并利用改进的偏差校正算法优化了1°×1°网格的海温场重建。基于该数据集分析海温冷暖现象对动态汛期的影响。
", "ds_source": "本数据集源自美国国家海洋和大气管理局（NOAA）提供的扩展重建海表温度数据集第5版（ERSSTv5）（数据来源：https://www.ncei.noaa.gov/products/extended-reconstructed-sst）
", "ds_process_way": "EOF分解与最优插值。
", "ds_quality": "数据比较准确，达到精度要求。
", "ds_acq_start_time": "1969-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": -90.0, "ds_acq_lon_west": -180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 132384546, "ds_files_count": 0, "ds_format": "*.nc", "ds_space_res": "度", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "7171c28a-655d-4b4c-a742-bd903d0a6c89.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": [ "170.45" ], "quality_level": 0, "publish_time": "2026-07-13 10:19:12", "last_updated": "2026-07-13 10:27:08", "protected": false, "protected_to": "2027-01-01 00:00:00", "lang": "zh", "cstr": "", "i18n": { "en": { "title": "Monthly SST dataset in sea areas affected by global precipitation (1969-2019)", "ds_format": "*.nc", "ds_source": "This dataset is derived from the Extended Reconstructed Sea Surface Temperature Dataset, Version 5 (ERSSTv5) provided by the National Oceanic and Atmospheric Administration (NOAA)(Data source: https://www.ncei.noaa.gov/products/extended-reconstructed-sst)
", "ds_quality": "The data is relatively accurate and meets the accuracy requirements.
", "ds_ref_way": "", "ds_abstract": "This study uses the fifth edition of the extended reconstructed sea surface temperature dataset provided by the National Oceanic and Atmospheric Administration (NOAA). This dataset integrates the latest ICOADS R3.0 observation records through the empirical orthogonal function method, and optimizes the reconstruction of the sea temperature field on the 1°×1° grid using an improved bias correction algorithm. Based on this dataset, the impact of warm and cold SST on dynamic flood seasons is analyzed.
", "ds_time_res": "", "ds_acq_place": "global", "ds_space_res": "", "ds_projection": "", "ds_process_way": "EOF decomposition and optimal interpolation.
", "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": [ "海温" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 1969, 2019 ], "ds_contributors": [ { "true_name": "王浩先", "email": "1093940600@qq.com", "work_for": "河海大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王浩先", "email": "1093940600@qq.com", "work_for": "河海大学", "country": "中国" } ], "ds_managers": [ { "true_name": "王浩先", "email": "1093940600@qq.com", "work_for": "河海大学", "country": "中国" } ], "category": "其他" }