{
    "created": "2024-10-24 11:03:33",
    "updated": "2026-05-09 10:54:40",
    "id": "312667f1-01be-43c7-9e9b-b9f901586a24",
    "version": 12,
    "ds_topic": null,
    "title_cn": "IAP 温度 1°网格分析产品（IAPv4）",
    "title_en": "IAP temperature 1° gridded analysis product (IAPv4)",
    "ds_abstract": "<p>&emsp;&emsp;第四版大气物理研究所（IAPv4）海洋温度和海洋热含量（OHC）客观分析产品主要考虑了质量控制（QC）程序、气候学、偏差校正、垂直和水平插值以及制图等方面的最新发展，并提供了自 1940 年（1957 年以后更可靠）以来 6000 米以上（119 层）的月度数据，数据集的水平分辨率为 1°×1°，垂直覆盖范围从地表到 6000 米（119 层），时间范围从 1940 年至今（月平均）。",
    "ds_source": "<p>&emsp;&emsp;IAPv4 温度网格产品的数据源来自世界海洋数据库 (WOD)，包括所有可用的观测数据，包括来自 XBT、CTD、Argo、Bottle、MBT、Glider、系泊和其他仪器的现场数据，以及一些中国数据。</p>",
    "ds_process_way": "<p>&emsp;&emsp;使用了新的数据质量控制系统（CODC-QC）和新的气候系统；模型模拟用于指导从点位测量到网格的映射（EnOI 与动力学集合，并做了一些修改。</p>",
    "ds_quality": "<p>&emsp;&emsp;IAPv4 与前一版本 IAPv3 以及其他数据产品、海面温度（SST）和卫星观测数据进行了比较。与 IAPv3 相比，1955-2023 年期间，IAPv4 上层 2000 米 OHC 的长期增加略强，这主要是由于新开发的偏差校正。2005-2023 年期间，IAPv4 的 0-2000 米 OHC 趋势也高于 IAPv3，这主要是由于质量控制过程的更新。IAPv4 的最上层与独立的 SST 数据集一致。与 IAPv3 和本研究调查的其他 OHC 产品相比，IAPv4 的逐月 OHC 变率更小，海洋变暖速率趋势（即变暖加速）与大气顶部的净能量失衡比 IAPv3 更一致，海平面预算可以在不确定范围内闭合。",
    "ds_acq_start_time": "1940-01-01 00:00:00",
    "ds_acq_end_time": "2023-12-31 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": 44934345849,
    "ds_files_count": 1036,
    "ds_format": "nc",
    "ds_space_res": "10000",
    "ds_time_res": "月",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "312667f1-01be-43c7-9e9b-b9f901586a24.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": "09314967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2024-10-29 09:40:16",
    "last_updated": "2026-01-14 10:46:30",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "https://datapid.cn/CSTR:33685.11.IOCAS.20240117.002 ",
    "i18n": {
        "en": {
            "title": "IAP temperature 1° gridded analysis product (IAPv4)",
            "ds_format": "nc",
            "ds_source": "<p>&emsp;&emsp;The data source for the IAPv4 temperature grid product comes from the World Ocean Database (WOD), which includes all available observational data, including on-site data from XBT, CTD, Argo, Bottle, MBT, Glider, mooring, and other instruments, as well as some Chinese data</ p>",
            "ds_quality": "<p>&emsp;&emsp;IAPv4 was compared with the previous version IAPv3, as well as other data products, sea surface temperature (SST), and satellite observation data. Compared with IAPv3, the long-term increase of 2000 meter OHC in the upper layer of IAPv4 from 1955 to 2023 is slightly stronger, mainly due to the newly developed deviation correction. During the period of 2005-2023, the trend of 0-2000 meter OHC in IAPv4 was also higher than that in IAPv3, mainly due to updates in the quality control process. The top layer of IAPv4 is consistent with the independent SST dataset. Compared with IAPv3 and other OHC products investigated in this study, IAPv4 has a smaller monthly OHC variability, and the trend of ocean warming rate (i.e. warming acceleration) is more consistent with the net energy imbalance at the top of the atmosphere than IAPv3. The sea level budget can be closed within an uncertain range.",
            "ds_ref_way": "",
            "ds_abstract": "<p>  The fourth edition of the Institute of Atmospheric Physics (IAPv4) objective analysis product for ocean temperature and ocean heat content (OHC) mainly considers the latest developments in quality control (QC) procedures, climatology, deviation correction, vertical and horizontal interpolation, and mapping, and provides monthly data of over 6000 meters (119 layers) since 1940 (more reliable since 1957). The horizontal resolution of the dataset is 1 °× 1 °, and the vertical coverage range is from the surface to 6000 meters (119 layers), with a time range from 1940 to the present (monthly average).</p>",
            "ds_time_res": "月",
            "ds_acq_place": "Global",
            "ds_space_res": "10000",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp; We have implemented a new data quality control system (CODC-QC) and a new climate system; The model simulation is used to guide the mapping from point measurements to grids (EnOI and dynamic sets), with some modifications made</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "https://creativecommons.org/licenses/by/4.0/",
    "doi_reg_from": "reg_outside",
    "cstr_reg_from": "reg_outside",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "全球"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "全球"
    ],
    "ds_time_tags": [
        1940,
        1941,
        1942,
        1943,
        1944,
        1945,
        1946,
        1947,
        1948,
        1949,
        1950,
        1951,
        1952,
        1953,
        1954,
        1955,
        1956,
        1957,
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        1980,
        1981,
        1982,
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        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,
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        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021,
        2022,
        2023
    ],
    "ds_contributors": [
        {
            "true_name": "成里京",
            "email": "chenglij@mail.iap.ac.cn",
            "work_for": "中国科学院大气物理研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "成里京",
            "email": "chenglij@mail.iap.ac.cn",
            "work_for": "中国科学院大气物理研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "成里京",
            "email": "chenglij@mail.iap.ac.cn",
            "work_for": "中国科学院大气物理研究所",
            "country": "中国"
        }
    ],
    "category": "气象"
}