工业化以来，全球气温快速上升，引起冰川快速变化。可预见的时间范围内，持续升温将如何影响冰川水资源是当前的重要议题。该数据集使用冰川水平衡模型，对本世纪亚洲高山区冰川水资源演化开展数值模拟，量化了不同升温情景下冰川变化/死冰发育/冰湖扩张过程。为相关区域水资源规划与管理/生态适应性措施采取提供支撑。", "ds_source": "
本数据集为研究论文\"Positive glacial regulatory processes promote sustainability of Asian glacier water resources\" (Wang et al., 2026)模型输出。数据集组成包括以下三部分：\n
1.Wang et al. (2026)研究论文支撑材料。压缩包“Attachment.zip”中提供了论文主要的研究结果，包括冰川物质/面积/流速变化统计结果，死冰/冰湖十年际编目，不同GRPs的量化结果等。关于该数据集更多细节内容，请参见压缩包内Readme.txt文件。\n
2.Wang et al. (2026)研究论文冰川演化模型输出。基于研究论文发展的冰川演化模型，输出了年尺度冰川变化空间数据与统计数据。包括冰川厚度/表面流速/底部流速等变量的空间变化，冰川面积/冰川物质等变量等统计结果。数据格式为NetCDF，变量内容请读取文件后阅读文件名描述，或参照https://www.pism.io/docs/manual/diagnostics/index.html。\n
3.亚洲高山区年尺度冰湖编目。在Wang et al. (2026)研究论文基础上，我们进一步将冰湖编目拓展为年尺度，以支撑相关研究中更高时间分辨率的统计与建模。", "ds_process_way": "
本数据集使用了自主研发对冰川水平衡模型量化不同升温情景下冰川变化/死冰发育/冰湖扩张过程，其核心组件包括：冰川表面物质平衡梯度模型/三维冰川动力学模型/冰川汇流模型，充分考虑了冰川水资源不同分量的演化过程。了解详细研究方法推荐阅读相关研究论文\"Positive glacial regulatory processes promote sustainability of Asian glacier water resources\" (Wang et al., 2026)。", "ds_quality": "
为验证数据精度和量化其不确定性，该数据集与冰川变化遥感观测/实测表面物质平衡/冰川流速数据集/冰湖遥感影像等多源观测进行对比，表明数据质量可靠。了解详细数据质量评估推荐阅读相关研究论文\"Positive glacial regulatory processes promote sustainability of Asian glacier water resources\" (Wang et al., 2026)。", "ds_acq_start_time": "2015-01-01 00:00:00", "ds_acq_end_time": "2100-12-31 00:00:00", "ds_acq_place": "亚洲高山区", "ds_acq_lon_east": 103.0, "ds_acq_lat_south": 27.0, "ds_acq_lon_west": 67.0, "ds_acq_lat_north": 45.0, "ds_acq_alt_low": 2000.0, "ds_acq_alt_high": 8800.0, "ds_share_type": "login-access", "ds_total_size": 769329654359, "ds_files_count": 192009, "ds_format": "Shapefile", "ds_space_res": "90", "ds_time_res": "无", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "a1429306-203b-48f1-bb03-0394ffb36ad6.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "093149675976", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2026-01-05 10:41:30", "last_updated": "2026-02-06 15:15:42", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7057.2026", "i18n": { "en": { "title": "Dataset of glacier-dead ice-glacial lake variations in High Mountain Asia during 21st century", "ds_format": "Shapefile", "ds_source": "
This dataset represents the model outputs from the research paper “Positive glacial regulatory processes promote sustainability of Asian glacier water resources” (Wang et al., 2026). \nThe dataset comprises the following three components:\n
1. Support materials for the research paper by Wang et al. (2026). The compressed file “Attachment.zip” contains the paper's primary findings, including statistical results on glacier mass/area/velocity changes, decadal inventories of dead ice/glacial lakes, and quantitative results for different GRPs. For further details regarding this dataset, please refer to the Readme.txt file within the compressed archive.\n
2. Glacier evolution model outputs from Wang et al. (2026). The glacier evolution model developed in the research paper generates annual-scale spatial data and statistical outputs on glacier changes. This includes spatial variations of variables including glacier thickness, surface velocity, and basal velocity, as well as statistical results for variables encompassing glacier area and glacier mass. Data format is NetCDF. For variable details, refer to filename descriptions after reading the files or consult https://www.pism.io/docs/manual/diagnostics/index.html.\n
3. Annual-scale glacial lake inventory in HMA. Building upon the research paper by Wang et al. (2026), we have extended the glacial lake inventory to an annual scale for supporting higher-resolution statistical analysis and modeling in related studies.", "ds_quality": "
To validate data accuracy and quantify its uncertainty, this dataset was compared with multiple observational sources including remote sensing observations of glacier changes, measured surface mass balance data, glacier flow velocity datasets, and remote sensing imagery of glacial lakes. The comparison demonstrates reliable data quality. For detailed data quality assessment, refer to the related research paper “Positive glacial regulatory processes promote sustainability of Asian glacier water resources” (Wang et al., 2026).", "ds_ref_way": "", "ds_abstract": "
Since the industrial era, rising global temperatures have triggered rapid glacial changes. How sustained warming impacts glacier water resources within a projected timescale remains a critical contemporary issue. This dataset employs a glacier water balance model to numerically simulate glacier water resource evolution in High Mountain Asia over this century. We quantify glacier changes, dead ice development, and glacial lake expansion under different temperature rise scenarios. This study provides essential support for water resource planning and management, and ecological adaptation measures in relevant regions.", "ds_time_res": "无", "ds_acq_place": "High Mountain Asia", "ds_space_res": "90", "ds_projection": "", "ds_process_way": "
This dataset employs an independently developed glacier water balance model to quantify glacier changes, dead ice development, and glacial lake expansion under different temperature rise scenarios. Its core components include: glacier surface mass balance gradient model, three-dimensional glacier dynamics model, and glacier convergence model, comprehensively accounting for the evolution of different glacier water resources components. For detailed methodological insights, refer to the research paper “Positive glacial regulatory processes promote sustainability of Asian glacier water resources” (Wang et al., 2026).", "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_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "冰川", "冰湖", "死冰", "CMIP6" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原", "第三极", "亚洲高山区", "亚洲水塔" ], "ds_time_tags": [ 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100 ], "ds_contributors": [ { "true_name": "王琼", "email": "wangqiong@itpcas.ac.cn", "work_for": "湖南科技大学/中国科学院青藏高原研究所", "country": "中国" }, { "true_name": "王欣", "email": "wangx@hnust.edu.cn", "work_for": "1.湖南科技大学地球科学与空间信息工程学院 2.中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "段克勤", "email": "kqduan@snnu.edu.cn", "work_for": "陕西师范大学", "country": "中国" }, { "true_name": "何锦屏", "email": "jinphe@hnust.edu.cn", "work_for": "湖南科技大学", "country": "中国" }, { "true_name": "张耀南", "email": "yaonan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "康建芳", "email": "kangjf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王琼", "email": "wangqiong@itpcas.ac.cn", "work_for": "湖南科技大学/中国科学院青藏高原研究所", "country": "中国" }, { "true_name": "王欣", "email": "wangx@hnust.edu.cn", "work_for": "1.湖南科技大学地球科学与空间信息工程学院 2.中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "王琼", "email": "wangqiong@itpcas.ac.cn", "work_for": "湖南科技大学/中国科学院青藏高原研究所", "country": "中国" }, { "true_name": "王欣", "email": "wangx@hnust.edu.cn", "work_for": "1.湖南科技大学地球科学与空间信息工程学院 2.中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "段克勤", "email": "kqduan@snnu.edu.cn", "work_for": "陕西师范大学", "country": "中国" }, { "true_name": "何锦屏", "email": "jinphe@hnust.edu.cn", "work_for": "湖南科技大学", "country": "中国" }, { "true_name": "张耀南", "email": "yaonan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "康建芳", "email": "kangjf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "水文" }