湖泊地表水温度是水体生态系统的重要物理性质，也是气候变化的重要指标。数据集通过结合卫星观测和模拟的优势，生成了青藏高原160个湖泊的综合日LSWT，这些湖泊的原位观测有限。综合数据集中基于modis的全湖平均LSWT包括2000-2017年的白天、夜间和日平均。该数据集和所建立的方法有助于研究青藏高原的水热平衡变化及其生态效应。", "ds_source": "
实验结合模拟获得。", "ds_process_way": "
利用基于modis的日平均LSWT对一个简化的物理模型(即改进的air2water模型)进行校准，在此基础上重建了1978-2017年完整一致的日平均LSWT数据集。将重建的LSWT数据集与卫星观测数据和现场观测数据进行对比验证。", "ds_quality": "
数据质量较好。", "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": 104.75, "ds_acq_lat_south": 26.0, "ds_acq_lon_west": 73.26666666666667, "ds_acq_lat_north": 39.75, "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": "shp,csv,jpeg,", "ds_space_res": "", "ds_time_res": "日,月,年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "262f74c3-d95d-4305-8f9b-552bd3735277.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": [ "170.55" ], "quality_level": 3, "publish_time": "2024-01-26 10:06:33", "last_updated": "2026-01-14 11:07:03", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB4164.2024", "i18n": { "en": { "title": "Daily comprehensive dataset of surface water temperature in lakes on the Qinghai Tibet Plateau (1978-2017)", "ds_format": "shp,csv,jpeg,", "ds_source": "
Obtained through a combination of experiments and simulations.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
The surface water temperature of lakes is an important physical property of aquatic ecosystems and a significant indicator of climate change. The dataset combines the advantages of satellite observation and simulation to generate a comprehensive daily LSWT for 160 lakes on the Qinghai Tibet Plateau, which have limited in situ observations. The overall lake average LSWT based on MODIS in the comprehensive dataset includes daytime, nighttime, and daily averages from 2000 to 2017. This dataset and the established method are helpful for studying the changes in water and heat balance and their ecological effects on the Qinghai Tibet Plateau.
", "ds_time_res": "日,月,年", "ds_acq_place": "Qinghai-Tibet Plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "A simplified physical model (i.e. an improved air2water model) was calibrated using a daily average LSWT based on Modis, and a complete and consistent daily average LSWT dataset from 1978 to 2017 was reconstructed on this basis. Compare and validate the reconstructed LSWT dataset with satellite observation data and on-site observation 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", "湖泊水量" ], "ds_subject_tags": [ "水文学" ], "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": "郭丽楠", "email": "guoln@radi.ac.cn", "work_for": "中国科学院航天信息研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "郭丽楠", "email": "guoln@radi.ac.cn", "work_for": "中国科学院航天信息研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "郭丽楠", "email": "guoln@radi.ac.cn", "work_for": "中国科学院航天信息研究所", "country": "中国" } ], "category": "水文" }