数据集重建了广覆盖、长时序的湖面温度数据产品。针对青藏高原的湖泊水热平衡的基本特征及数据基础，团队对湖泊一维能量平衡模型加以改进，并借助Google Earth Engine（GEE）平台，基于MOD11A1数据获取全湖平均温度的时间序列对模型进行率定和验证，首次重建了青藏高原160个湖泊的1978-2017年逐日湖面温度数据集。该数据产品覆盖范围广、时间跨度较长、时间分辨率高，可为认识青藏高原湖泊能量平衡对气候变化的响应提供重要的技术和数据支撑。进一步的检验表明，该数据产品与地面实测湖面温度有很好的一致性。
\n在文件夹中还包括湖泊的矢量数据，以及使用MOD11A1等产品作为校准和验证数据的湖泊日常数据等。", "ds_source": "
数据集是融合遥感与数值模拟技术所开发。", "ds_process_way": "
对湖泊一维能量平衡模型加以改进，并借助Google Earth Engine（GEE）平台，基于MOD11A1数据获取全湖平均温度的时间序列对模型进行率定和验证。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "1978-01-01 00:00:00", "ds_acq_end_time": "2017-12-31 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": 104.78305555555555, "ds_acq_lat_south": 26.003333333333334, "ds_acq_lon_west": 73.31444444444445, "ds_acq_lat_north": 39.78055555555555, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 55249392, "ds_files_count": 2, "ds_format": "csv,shp,jpeg", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "e7edb0a7-2e01-4b3e-b5d0-79419ef2d1e8.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": "2023-08-25 15:20:42", "last_updated": "2026-01-14 10:53:10", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB3944.2023", "i18n": { "en": { "title": "Comprehensive dataset of daily lake surface water temperature on the Qinghai Tibet Plateau (1978-2017)", "ds_format": "csv,shp,jpeg", "ds_source": "
The dataset is developed by integrating remote sensing and numerical simulation techniques.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
The dataset reconstructed a wide coverage, long-term lake surface temperature data product. Based on the basic characteristics and data foundation of water and heat balance in lakes on the Qinghai Tibet Plateau, the team improved the one-dimensional energy balance model of lakes and used the Google Earth Engine (GEE) platform to calibrate and validate the model by obtaining the time series of the average temperature of the entire lake based on MOD11A1 data. For the first time, a daily lake surface temperature dataset of 160 lakes on the Qinghai Tibet Plateau from 1978 to 2017 was reconstructed. This data product has a wide coverage, long time span, and high time resolution, which can provide important technical and data support for understanding the response of energy balance of lakes on the Qinghai Tibet Plateau to climate change. Further testing shows that the data product has good consistency with the measured lake surface temperature on the ground.
\nThe folder also includes vector data of lakes, as well as daily data of lakes using products such as MOD11A1 as calibration and validation data.
", "ds_time_res": "日", "ds_acq_place": "Qinghai-Tibet Plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Improve the one-dimensional energy balance model of the lake and use the Google Earth Engine (GEE) platform to calibrate and validate the model by obtaining the time series of the average temperature of the entire lake based on MOD11A1 data.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "湖面温度", "青藏高原", "水温" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 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 ], "ds_contributors": [ { "true_name": "吴彦宏", "email": "wuyh@aircas.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴彦宏", "email": "wuyh@aircas.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "吴彦宏", "email": "wuyh@aircas.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "category": "水文" }