该数据集为经改进的海平面重建网格数据产品及关联成果，包含 1950 年 1 月至 2022 年 1 月的全球月度海平面重建数据（空间分辨率 1°×1°），还涵盖基于 72 年重建数据的 EOF 分析结果、验证数据集（重建海平面与卫星 altimetry 及验潮仪观测数据对比）、额外分析产出。同时，全球平均海平面（GMSL）数据集纳入了多个来源的时间序列数据，数据集以标准 NetCDF 和纯文本格式分发，并配有可视化脚本及详细说明。", "ds_source": "
EOF 分析相关的 Niño 3.4 指数源自 NOAA（网址：https://psl.noaa.gov/data/timeseries/month/），PDO 指数来自 JMA（网址：https://ds.data.jma.go.jp/tcc/tcc/products/elnino/）。\n
GMSL 数据集包含的对比时间序列来自Church and White（2011 年，经更新，数据下载自https://research.csiro.au/slrwavescoast/sea-level/）、Hamlington et al.（2014）、Frederikse et al.（2020）、Dangendorf et al.（2024）。", "ds_process_way": "
提出新的海平面重建框架，将经验正交函数（EOF）融入现有降维最优插值循环平稳经验正交函数（CSEOF-OI）算法；以 225 个经垂直陆地运动校正的长期补全验潮仪记录及卫星测高数据为基础，构建 1950 年 1 月 - 2022 年 1 月全球月均海平面重建时间序列。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "1950-01-01 00:00:00", "ds_acq_end_time": "2022-01-31 00:00:00", "ds_acq_place": "全球", "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": "login-access", "ds_total_size": 654392861, "ds_files_count": 2, "ds_format": "txt,NetCDF", "ds_space_res": "1°", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "697106c2-a73d-48da-9805-374fbec4f0f4.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.60" ], "quality_level": 3, "publish_time": "2025-08-28 16:07:18", "last_updated": "2026-01-14 11:08:52", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6962.2025", "i18n": { "en": { "title": "Modified Sea Level Reconstruction Reveals Improved Separation of Climate and Trend Patterns", "ds_format": "", "ds_source": "
The Ni ñ o 3.4 index related to EOF analysis is sourced from NOAA (website: https://psl.noaa.gov/data/timeseries/month/ ）The PDO index comes from JMA (website: https://ds.data.jma.go.jp/tcc/tcc/products/elnino/ ）.\n
The comparative time series included in the GMSL dataset are from Church and White (2011, updated, data downloaded from) https://research.csiro.au/slrwavescoast/sea-level/ ）The Hamlington et al.（2014）、Frederikse et al.（2020）、Dangendorf et al.（2024）.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
This dataset is an improved sea level reconstruction grid data product and associated results, including monthly global sea level reconstruction data from January 1950 to January 2022 (spatial resolution 1 °× 1 °), as well as EOF analysis results based on 72 years of reconstruction data, validation dataset (comparison of reconstructed sea level with satellite altimetry and tide gauge observation data), and additional analysis outputs. At the same time, the Global Mean Sea Level (GMSL) dataset incorporates time series data from multiple sources, distributed in standard NetCDF and plain text formats, and accompanied by visual scripts and detailed explanations.
", "ds_time_res": "月", "ds_acq_place": "global", "ds_space_res": "1°", "ds_projection": "", "ds_process_way": "A new sea level reconstruction framework is proposed by integrating the empirical orthogonal function (EOF) into the existing reduced dimensional optimal interpolation cyclic smooth empirical orthogonal function (CSEOF-OI) algorithm, and constructing a time series of reconstructed global monthly mean sea level from January 1950 to January 2022 on the basis of 225 long-term complementary tide gauge records corrected for vertical land motion and satellite altimetry data.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "海平面重建", "ENSO", "EOF" ], "ds_subject_tags": [ "海洋科学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "王胜道", "email": "shengdaowang123456@gmail.com", "work_for": "美国俄亥俄州立大学地球科学学院大地测量科学部", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王胜道", "email": "shengdaowang123456@gmail.com", "work_for": "美国俄亥俄州立大学地球科学学院大地测量科学部", "country": "中国" } ], "ds_managers": [ { "true_name": "王胜道", "email": "shengdaowang123456@gmail.com", "work_for": "美国俄亥俄州立大学地球科学学院大地测量科学部", "country": "中国" } ], "category": "水文" }