青藏地区被誉为世界屋脊和亚洲水塔，拥有世界上湖泊数量最多的地区，由于海拔较高，几乎没有人类活动的干扰，青藏高原长期以来一直是研究全球气候变化的重要地点。该地区不容易建立水文站，原位仪表数据并不总是公开可访问的。卫星雷达测高仪已成为原位观测作为数据源的非常重要的替代方案。使用给定的雷达高度计估算湖泊水位通常受到时空覆盖范围的限制，因此使用多高度计数据来监测湖泊水位。受波形处理精度和不同测高任务间隔周期的限制，水位系列的精度和采样频率较低。通过处理和合并8个不同的测高任务，开发的数据集给出了2002—2021年青藏高原361个湖泊（大于10 km2）的水位变化。在许多湖泊中，高精度的湖泊水位变化系列周期可以更长。该数据集和相关方法对于计算湖泊蓄量变化、湖泊水位趋势分析、湖泊溢流、青藏高原洪涝灾害的短期监测以及湖泊生态系统变化与水资源变化之间的关系具有重要价值。", "ds_source": "
数据来源于 https://doi.pangaea.de/10.1594/PANGAEA.973443 。", "ds_process_way": "
通过结合来自Envisat、ICESat-1、CryoSat-2、Jason-1、Jason-2、Jason-3、SARAL和Sentinel-3A的8组高度计数据，研究了361个湖泊（>10 km2） 使用 retracking 和异常值检测算法估计了 2002-2021 年期间 TP 上的 TP。", "ds_quality": "
利用原位数据验证了高度计数据得出的水位，湖泊监测时间序列的精度达到了分米级。通过与DAHITI、LEGOS Hydroweb和G-REALM数据集的比较，发现新产品与这些产品一致，RMSE中值始终低于0.30 m，相关值中值始终大于0.90，表明新数据集是可靠的。", "ds_acq_start_time": "2002-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 3126896, "ds_files_count": 3, "ds_format": "*.txt", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "e25b4547-0cae-43c1-a545-f8d3259ebb1a.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "99c0a56f-14cb-4cfc-a9a1-bb4b8d16a658", "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 21:25:27", "last_updated": "2026-01-14 09:50:36", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.PANGAEA.DB7055.2025", "i18n": { "en": { "title": "High-space-coverage lake level change data sets on the Tibetan Plateau from 2002 to 2021 using multiple altimeter data", "ds_format": "*.txt", "ds_source": "
The data is sourced from https://doi.pangaea.de/10.1594/PANGAEA.973443 .", "ds_quality": "
", "ds_ref_way": "", "ds_abstract": "
The Qinghai Tibet Plateau is known as the Roof of the World and the Water Tower of Asia, with the largest number of lakes in the world. Due to its high altitude, there is almost no interference from human activities. The Qinghai Tibet Plateau has long been an important location for studying global climate change. It is not easy to establish hydrological stations in the region, and in-situ instrument data is not always publicly accessible. Satellite radar altimeter has become a very important alternative to in-situ observation as a data source. Estimating lake water levels using a given radar altimeter is often limited by spatial and temporal coverage, therefore multiple altimeter data are used to monitor lake water levels. Due to the limitations of waveform processing accuracy and the interval period between different height measurement tasks, the accuracy and sampling frequency of the water level series are relatively low. By processing and merging 8 different altimetry tasks, the developed dataset provides the water level changes of 361 lakes (over 10 km2) on the Qinghai Tibet Plateau from 2002 to 2021. In many lakes, the high-precision series of lake water level changes can have longer periods. This dataset and related methods are of great value for calculating changes in lake storage, analyzing trends in lake water levels, monitoring lake overflow, short-term monitoring of floods and waterlogging disasters on the Qinghai Tibet Plateau, and investigating the relationship between changes in lake ecosystems and water resources.
", "ds_time_res": "", "ds_acq_place": "Qinghai-Tibet Plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "By combining 8 sets of altimeter data from Envisat, ICESat-1, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, and Sentinel-3A, we studied 361 lakes (>10 km2) and estimated TP on TP from 2002 to 2021 using backtracking and outlier detection algorithms.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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": [ "湖泊水位变化", "卫星测高技术", "青藏高原" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 2002, 2021 ], "ds_contributors": [ { "true_name": "廖静娟", "email": "liaojj@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": "廖静娟", "email": "liaojj@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": "廖静娟", "email": "liaojj@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" }