本数据集是2002-2019年期间的全球海洋表面温度数据，单位为摄氏度，时间分辨率为月，空间分辨率为0.041°。它是通过使用温度深度和观测时间校正模型进行校准后，结合来自两个红外（MODIS和AVHRR）和三个被动微波（AMSR-E、AMSR2、Windsat）辐射计的每日原位海温数据和每日卫星海温反演数据生成的。精度评估表明，重建数据集表现出显著的改进，可用于中尺度海洋现象分析。
\n该文件由19个部分组成：\n
1）SSTG的元数据.docx：这个文件；\n
2）XXXX_SSTG.rar：它包含SSTG的数据。它包含18个文件夹（每年一个）。除了2002_SST的文件夹有6个图像外，其余每个文件夹都有12个图像（每月一个场景）。XXXX是UTC年。每个阶段由两个文件组成，包括.img（SSTG图像）和.hdr（图像坐标信息）。\n
SSTG的命名约定：SSTG数据集的命名约定为yyyymmdd_yyyymmdd.img（或hdr），其中：yyyy是UTC年；mm是UTC月份；dd是UTC日。
", "ds_source": "结合来自两个红外（MODIS和AVHRR）和三个被动微波（AMSR-E、AMSR2、Windsat）辐射计的每日原位海温数据和每日卫星海温反演数据。", "ds_process_way": "
数据集是由2种红外辐射计（MODIS，AVHRR）及3种被动微波辐射计（AMSR-E，AMSR2，Windsat）得到的逐日海面温度卫星反演数据和逐日海面温度观测数据相结合，通过一个温度深度和观测时间校正模型校正后产生的。", "ds_quality": "
精度评估表明，重建数据集表现出显著的改进，可用于中尺度海洋现象分析。", "ds_acq_start_time": "2002-07-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "中国", "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": 10262282898, "ds_files_count": 22, "ds_format": "img", "ds_space_res": "0.041°", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "7cb201d7-b343-429d-ac75-e29717578a07.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": [ "170.45" ], "quality_level": 3, "publish_time": "2023-05-29 11:17:04", "last_updated": "2025-06-30 16:24:11", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6682.2024", "i18n": { "en": { "title": "Global Sea Surface Temperature Dataset (2002-2019)", "ds_format": "img", "ds_source": "
Combining daily in-situ sea surface temperature data and daily satellite sea surface temperature inversion data from two infrared (MODIS and AVHRR) and three passive microwave (AMSR-E, AMSR2, Windsat) radiometers.", "ds_quality": "
The accuracy evaluation shows that the reconstructed dataset exhibits significant improvement and can be used for the analysis of mesoscale ocean phenomena.", "ds_ref_way": "", "ds_abstract": "
This dataset contains global ocean surface temperature data from 2002 to 2019, measured in degrees Celsius with monthly temporal resolution and 0.041 ° spatial resolution. It is generated by calibrating using temperature depth and observation time correction models, combined with daily in-situ sea surface temperature data from two infrared (MODIS and AVHRR) and three passive microwave (AMSR-E, AMSR2, Windsat) radiometers, and daily satellite sea surface temperature inversion data. The accuracy evaluation shows that the reconstructed dataset exhibits significant improvement and can be used for the analysis of mesoscale ocean phenomena.
\nThis document consists of 19 parts:\n
1) SSTG metadata. docx: This file;\n
2) XXXX_SSTG.rar: It contains data for SSTG. It contains 18 folders (one per year). Except for the folder with 6 images in 2002_SST, each other folder has 12 images (one scene per month). XXXX is UTC year. Each stage consists of two files, including. img (SSTG image) and. hdr (image coordinate information).\n
The naming convention for SSTG: The naming convention for SSTG datasets is yyyymmdd_yyyymmdd.img (or hdr), where yyyy is the UTC year; Mm is the UTC month; Dd is UTC day.
", "ds_time_res": "月", "ds_acq_place": "China", "ds_space_res": "0.041°", "ds_projection": "", "ds_process_way": "The dataset is generated by combining daily sea surface temperature satellite inversion data and daily sea surface temperature observation data obtained from two infrared radiometers (MODIS, AVHRR) and three passive microwave radiometers (AMSR-E, AMSR2, Windsat), and corrected by a temperature depth and observation time correction model.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "中国", "地表水", "海面温度", "银河系" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "毛克彪", "email": "maokebiao@caas.cn", "work_for": " 中国农业科学院农业资源与农业区划研究所遥感室", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "毛克彪", "email": "maokebiao@caas.cn", "work_for": " 中国农业科学院农业资源与农业区划研究所遥感室", "country": "中国" } ], "ds_managers": [ { "true_name": "毛克彪", "email": "maokebiao@caas.cn", "work_for": " 中国农业科学院农业资源与农业区划研究所遥感室", "country": "中国" } ], "category": "遥感及产品" }