ZHAO30yr是一款基于1993至2022年30年卫星海平面高度（SSH）观测数据，采用全新改进的映射技术开发的内潮模型。该模型通过对2023年独立测高数据进行内潮校正进行评估。ZHAO30yr的性能远优于采用过时映射技术、基于20年数据开发的ZHAO20yr模型。该模型凝聚了国际卫星测高界三十年卫星测高运行的智慧结晶。该模型可广泛应用于各类科研实践。作为新一代模型，ZHAO30yr通过分解内潮场揭示了大量长程内潮束，其中蕴含着关于内潮生成、传播与消散的关键信息。而此前所有经验性内潮模型仅提供多波叠加的振幅与相位。", "ds_source": "
数据来源于https://doi.org/10.6084/m9.figshare.28078523 和 https://doi.org/10.6084/m9.figshare.28559978.v3 。", "ds_process_way": "
第一步，通过平面波分析对一个目标内部潮分量进行映射。在每个网格点，确定五个任意传播方向的内部潮汐波。这五个波的矢量和即为内部潮汐解。该步骤从稀疏的卫星沿轨海平面高度数据中，生成基于规则纬度-经度网格的全局内部潮汐场。第二步通过空间带通滤波对规则网格化的内部潮汐场进行净化。目标内潮场经傅里叶变换转换为二维波数谱，并按带宽乘以局部波数进行截断。第三步再次采用平面波分析，将滤波后的内潮场分解为各网格点的五种内波。", "ds_quality": "
全球平均而言，所有半日变化和日变化成分的模型误差均低于1毫米。在极端高强度中尺度涡旋区域，半日变化误差因中尺度干扰而普遍超过1毫米。这些区域包括黑潮延伸区、墨西哥湾暖流、东澳大利亚暖流等，均以黑色等值线标注突出显示。", "ds_acq_start_time": "1993-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 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": "login-access", "ds_total_size": 5566722508, "ds_files_count": 34, "ds_format": "", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "fcec5ea0-ee83-47b8-b758-d032a46e2494.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a4dd5849-78f2-44c5-b0f1-3450e952b2a2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.55" ], "quality_level": 3, "publish_time": "2025-09-29 21:42:24", "last_updated": "2026-01-13 16:43:21", "protected": false, "protected_to": null, "lang": "zh", "cstr": null, "i18n": { "en": { "title": "ZHAO30yr: An Internal Tide Model Based on 30 Years of Satellite Sea Surface Height Measurements", "ds_format": "", "ds_source": "
The data is sourced from https://doi.org/10.6084/m9.figshare.28078523 and https://doi.org/10.6084/m9.figshare.28559978.v3 .", "ds_quality": "
On a global average, the model errors in all semidiurnal and diurnal constituents are lower than 1 mm. In regions of extremely high mesoscale eddies, the semidiurnal errors are dominantly larger than 1 mm due to mesoscale contamination. These regions include the Kuroshio extension region, the Gulf Stream, the East Australian Current, and so on. These regions are highlighted by black contours.", "ds_ref_way": "", "ds_abstract": "
ZHAO30yr is an internal tide model developed using 30 years of satellite sea surface height (SSH) measurements from 1993 to 2022 by a newly improved mapping technique. The model is evaluated by making internal tide correction to independent altimetry data in 2023. ZHAO30yr performs much better than ZHAO20yr, a model developed using 20 years of data by an obsolete mapping technique. ZHAO30yr is a fruit of 30 years of satellite altimetry operation by the international satellite altimetry community. The model may find its applications in a wide variety of scientific research and practice. ZHAO30yr is a new-generation model, because it decomposes the internal tide field and reveals numerous long-range internal tidal beams, which contain key information on their generation, propagation, and dissipation. In contrast, all previous empirical internal tide models only give the multiwave summed amplitudes and phases.
", "ds_time_res": "", "ds_acq_place": "global", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The first step is to map the internal tidal components of a target through plane wave analysis. At each grid point, determine five internal tidal waves with arbitrary propagation directions. The vector sum of these five waves is the internal tidal solution. This step generates a global internal tidal field based on a regular latitude longitude grid from sparse satellite orbital sea level height data. The second step is to purify the regularly gridded internal tidal field through spatial bandpass filtering. The target tidal field is transformed into a two-dimensional wavenumber spectrum through Fourier transform, and truncated by multiplying the bandwidth by the local wavenumber. The third step is to use plane wave analysis again to decompose the filtered internal tidal field into five types of internal waves at each grid point.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "ZHAO30yr", "30年", "内部潮汐模型" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 1993, 2022 ], "ds_contributors": [ { "true_name": "ZHAO Zhongxiang ", "email": "zzhao@uw.edu", "work_for": "华盛顿大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "ZHAO Zhongxiang ", "email": "zzhao@uw.edu", "work_for": "华盛顿大学", "country": "中国" } ], "ds_managers": [ { "true_name": "ZHAO Zhongxiang ", "email": "zzhao@uw.edu", "work_for": "华盛顿大学", "country": "中国" } ], "category": "水文" }