地表高程变化、土壤湿度和积雪深度都是研究活动动态的基本变量层和永久冻土。GPS干涉反射仪（GPS-IR）已经用于测量永久冻土中的地表高程变化和积雪深度地区。然而，它在估计多年冻土土壤水分方面的适用性尚未对区域进行评估。此外，这些变量通常是在不同地点分别测量。将他们的估计整合为一个场地促进多年冻土中GPS-IR的综合利用 研究。在这项研究中，我们运行模拟来阐明常用的GPS-IR算法估算土壤含水量不能直接用于永久冻土区，因为它不考虑偏差 由活动层引起的季节性表面高程变化引入解冻。我们提出了一个解决方案来改进这种默认方法，方法是引建模的表面高程变化。我们使用GPS数据和在永久冻土场的原位观测青藏高原东北部。均方根误差和 GPS-IR估计土壤水分的相关系数含量和原位含量从1.85%提高到1.51%，从0.71提高到分别为0.82。我们还提出了一个集成GPS-IR的框架在一个地点估计这三个变量，并使用以 QTP 中的同一站点为例。这项研究强调了对默认算法，使 GPS-IR 在估算土壤时有效永久冻土区的水分含量。三合一框架能够在永久冻土区充分利用GPS-IR，并可扩展到其他诸如北极的地点。这项研究也是第一个使用 GPS-IR 用于估计 QTP 中的环境变量，该变量填充空间间隙并提供对地面温度和活动的补充测量层厚。
", "ds_source": "青藏高原东北部多年冻土场地表高程变化、土壤湿度和积雪深度的 GPS-IR 测量。
", "ds_process_way": "使用 GPS数据和在永久冻土场的原位观测记录。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2018-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "青藏高原东北部", "ds_acq_lon_east": 100.4, "ds_acq_lat_south": 38.0, "ds_acq_lon_west": 100.4, "ds_acq_lat_north": 38.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 3913, "ds_files_count": 4, "ds_format": "Excel", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "d3650b70-bff8-4ad2-9fc0-2c0260b44ee3.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": [ "170.4510" ], "quality_level": 3, "publish_time": "2023-07-25 14:58:57", "last_updated": "2026-05-14 16:52:27", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB3947.2023", "i18n": { "en": { "title": "GPS-IR Measurements of Surface Elevation Changes, Surface Soil Moisture, and Snow Depth in the Permafrost Zone of the Northeastern Tibetan Plateau", "ds_format": "Excel", "ds_source": "GPS-IR measurement of surface elevation changes, soil moisture, and snow depth in the permafrost field of the northeastern Qinghai Tibet Plateau.
", "ds_quality": "&Emsp; Good quality of data.
", "ds_ref_way": "", "ds_abstract": "The changes in surface elevation, soil moisture, and snow depth are fundamental variables for studying activity dynamics and permafrost. The GPS Interferometer Reflector (GPS-IR) has been used to measure surface elevation changes and snow depth in permafrost regions. However, its applicability in estimating soil moisture in permafrost has not yet been evaluated in the region. In addition, these variables are usually measured separately at different locations. Integrate their estimates into a site to promote the comprehensive utilization of GPS-IR in permafrost. In this study, we ran simulations to demonstrate that the commonly used GPS-IR algorithm for estimating soil moisture content cannot be directly applied to permafrost regions, as it does not take into account seasonal surface elevation changes caused by active layers that introduce thawing bias. We propose a solution to improve this default method by referencing the surface elevation changes in the model. We use GPS data and in-situ observations in permafrost fields to study the northeastern part of the Qinghai Tibet Plateau. The correlation coefficient between root mean square error and GPS-IR estimation of soil moisture content and in-situ content increased from 1.85% to 1.51%, and from 0.71 to 0.82, respectively. We also proposed an integrated GPS-IR framework to estimate these three variables at a location, using the same site in QTP as an example. This study emphasizes the use of default algorithms to enable GPS-IR to effectively estimate the moisture content in permafrost regions when estimating soil. The three in one framework can fully utilize GPS-IR in permafrost regions and can be extended to other locations such as the Arctic. This study is also the first to use GPS-IR to estimate environmental variables in QTP, which fill spatial gaps and provide supplementary measurements of ground temperature and activity layer thickness.
", "ds_time_res": "", "ds_acq_place": "Northeast Tibetan Plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Use GPS data and in-situ observation records in permafrost fields.
", "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, "belong_to_nieer": false, "ds_topic_tags": [ "积雪深度", "地面标高", "地表土壤湿度" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原东北部" ], "ds_time_tags": [ 2018 ], "ds_contributors": [ { "true_name": " 刘琳", "email": "liulin@cuhk.edu.hk", "work_for": "香港中文大学科学学院地球系统科学", "country": "中国" }, { "true_name": "车涛", "email": "chetao@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": "车涛", "email": "chetao@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_managers": [ { "true_name": "车涛", "email": "chetao@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": "冻土" }