泛第三极本底数据集（1980-2020）

泛第三极区域数据集呈现海量、零散等特征，现有数据集种类较多，覆盖范围广，涉及水文、生态、大气以及灾害等多个领域，但这些数据集来自不同平台，在尺度、数据格式等方面各不相同，数据的可利用性较差，不利于科研人员展开泛第三极地区的科学研究，同时也无法发挥出这些数据集的巨大潜力。本研究采用来自多个数据平台的最新数据使用数据集成、数据融合等集成方法生产更高质量和更新年份的泛第三极本底数据集。根据不同来源、不同分辨率的数据，对这些数据进行质量控制，根据数据科学内容进行集成。对部分数据，利用数据融合技术，融合不同来源的数据，产生数据质量更高、年份更新的创新性数据产品，更好地服务于陆面过程模型等研究中。泛第三极数据集根据自然数据和人文地理数据分别采用泛第三极流域边界和泛第三极国家边界获取数据，统一采用罗宾逊（Robinson）投影格式。获得了多源集成的包含基础数据集、冰冻圈数据集、水文大气数据集、生态数据集、灾害数据集和人文地理数据集共六类数据集。
（1）基础数据集包含边界数据集、30米土地覆被数据、植被功能数据、30米SRTM数字高程数据和HWSD土壤质地数据。详情请查看元数据页面附件信息中或数据中的文档“泛第三极基础数据集数据文档.docx”。
（2）冰冻圈数据集包含冻土数据集、冰川分布数据、冰湖分布数据和积雪深度数据。其中，冻土数据集又包含冻土分布数据、冻土水热分带数据、冻土指数数据和冻土表面粗糙度数据。详情请查看元数据页面附件信息中或数据中的文档“泛第三极冰冻圈数据集数据文档.docx”。
（3）水文大气数据集包含河流湖泊数据集、蒸散发数据集和大气数据集。河流湖泊数据集包含河流数据和湖泊数据，蒸散发数据集包含MODIS蒸散发数据、土壤蒸发数据、水体冰雪蒸发数据和冠层截流蒸发数据，大气数据集包含ERA5-Land再分析数据集中的地表热辐射数据、地表太阳辐射数据、降水数据、气压数据、温度数据、2m露点温度数据和风场数据。详情请查看元数据页面附件信息中或数据中的文档“泛第三极水文大气数据集数据文档.docx”。
（4）生态数据集包含总初级生产力数据和植被蒸腾数据。详情请查看元数据页面附件信息中或数据中的文档“泛第三极生态数据集数据文档.docx”。
（5）灾害数据集包含滑坡数据和地震区划数据。详情请查看元数据页面附件信息中或数据中的文档“泛第三极灾害数据集数据文档.docx”。
（6）人文地理数据集则包含交通道路数据、铁路机场数据、人口密度数据、主要国家人均GDP数据、收入水平数据和世界遗产分布数据。详情请查看元数据页面附件信息中或数据中的文档“泛第三极人文地理数据集数据文档.docx”。
泛第三极本底数据集将为相关研究者提供便利，避免相关研究在获取数据和处理数据的过程中重复劳动，节省研究者宝贵的时间，并且在陆面过程模型、水文模型和生态模型等科学研究中起到重要作用，促进泛第三极地区科学研究的发展，为泛第三极地区的科学研究提供数据支撑。

The Pan-Third Pole region datasets are characterized by massive volume and scattered distribution. Existing datasets are diverse in types, cover a wide range, and involve multiple fields including hydrology, ecology, atmosphere, and disasters. However, these datasets come from different platforms, vary in scale, data format and other aspects, resulting in poor data usability, which hinders researchers from carrying out scientific studies in the Pan-Third Pole region and fails to unleash their great potential. This study adopts the latest data from multiple data platforms and uses integration methods such as data integration and data fusion to produce a Pan-Third Pole baseline dataset with higher quality and more recent temporal coverage. Quality control is conducted on these data based on their different sources and resolutions, and integration is carried out according to their data science content. For some data, data fusion technology is applied to merge data from different sources, generating innovative data products with higher quality and more recent timestamps, which better supports researches such as land surface process models. The Pan-Third Pole datasets are acquired using the Pan-Third Pole basin boundary and Pan-Third Pole national boundary for natural and human-geographic data respectively, and uniformly adopt the Robinson projection format. This study has obtained a multi-source integrated dataset consisting of six categories: basic dataset, cryosphere dataset, hydrological-atmospheric dataset, ecological dataset, disaster dataset, and human-geographic dataset.
(1) The basic dataset includes boundary dataset, 30-meter land cover data, vegetation function data, 30-meter SRTM digital elevation data, and HWSD soil texture data. For details, please refer to the document "Pan-Third Pole Basic Dataset Documentation.docx" in the attachments of the metadata page or the documentation within the dataset.
(2) The cryosphere dataset includes permafrost dataset, glacier distribution data, glacial lake distribution data, and snow depth data. The permafrost dataset further contains permafrost distribution data, permafrost hydrothermal zoning data, permafrost index data, and permafrost surface roughness data. For details, please refer to the document "Pan-Third Pole Cryosphere Dataset Documentation.docx" in the attachments of the metadata page or the documentation within the dataset.
(3) The hydrological-atmospheric dataset includes river-lake dataset, evapotranspiration dataset, and atmospheric dataset. The river-lake dataset contains river data and lake data. The evapotranspiration dataset includes MODIS evapotranspiration data, soil evaporation data, water and snow evaporation data, and canopy interception evaporation data. The atmospheric dataset includes surface thermal radiation data, surface solar radiation data, precipitation data, atmospheric pressure data, temperature data, 2-meter dew point temperature data, and wind field data from the ERA5-Land reanalysis dataset. For details, please refer to the document "Pan-Third Pole Hydrological-Atmospheric Dataset Documentation.docx" in the attachments of the metadata page or the documentation within the dataset.
(4) The ecological dataset includes Gross Primary Productivity (GPP) data and vegetation transpiration data. For details, please refer to the document "Pan-Third Pole Ecological Dataset Documentation.docx" in the attachments of the metadata page or the documentation within the dataset.
(5) The disaster dataset includes landslide data and seismic zoning data. For details, please refer to the document "Pan-Third Pole Disaster Dataset Documentation.docx" in the attachments of the metadata page or the documentation within the dataset.
(6) The human-geographic dataset includes transportation road data, railway and airport data, population density data, per capita GDP data of major countries, income level data, and World Heritage Site distribution data. For details, please refer to the document "Pan-Third Pole Human-Geographic Dataset Documentation.docx" in the attachments of the metadata page or the documentation within the dataset.
The Pan-Third Pole baseline dataset will provide convenience for relevant researchers, avoid redundant work during data acquisition and processing, save researchers' precious time, play an important role in scientific researches such as land surface process models, hydrological models and ecological models, promote the development of scientific studies in the Pan-Third Pole region, and provide data support for scientific researches in this region.

搜集汇总

背景与挑战

背景概述

该数据集是一个综合性的泛第三极地区本底数据集合，包含六大类数据（基础地理、冰冻圈、水文大气、生态、灾害和人文地理），时间跨度为1980-2020年，空间分辨率为10m-100m，数据总量3.08TB。数据集通过集成多源数据并采用统一标准处理，旨在为泛第三极地区科学研究提供全面、高质量的数据支持。