2014-2018年高寒区17个站点气象数据集（气温、气压、风速、辐射、湿度、降水）站点数据

数据内容（包含的要素及意义）：高寒网21个站（藏东南站、纳木错站、珠峰站、慕士塔格站、阿里站、那曲站、双湖站、格尔木站、天山站、祁连山站、若尔盖站（西北院）、玉龙雪山站、那曲站（寒旱所）、海北站、三江源站、申扎站、贡嘎山站、若尔盖站（成都生物所）、那曲站（地理所）、拉萨站、青海湖站）2014-2018年青藏高原气象观测数据集（气温、降水、风向风速、相对湿度、气压、辐射和蒸发）; 数据质量描述：站点日分辨率;4)数据应用成果及前景：在高寒网各野外站和泛第三极地区境外台站的长期观测数据基础上，建立泛第三极地区气象、水文及生态要素系列数据集；通过重点区域的强化观测与样地和样点验证，完成气象要素、湖泊水量与水质、地上植被生物量、冰川冻土变化等数据产品的反演；基于物联网技术，研制建立多站联网的气象、水文、生态数据管理平台，实现联网数据实时获取与远程控制及共享。

Data Content (elements and their meanings): The 2014–2018 Qinghai-Tibet Plateau meteorological observation dataset consists of data collected from 21 stations of the Alpine Ecological Research Network, including Southeast Tibet Station, Nam Co Station, Mount Qomolangma Station, Muztagh Station, Ngari Station, Naqu Station, Shuanghu Station, Golmud Station, Tianshan Station, Qilian Mountains Station, Zoigê Station (Northwest Institute), Yulong Snow Mountain Station, Naqu Station (Cold and Arid Regions Institute), Haibei Station, Sanjiangyuan Station, Shenzha Station, Gongga Mountain Station, Zoigê Station (Chengdu Institute of Biology), Naqu Station (Institute of Geography), Lhasa Station, and Qinghai Lake Station. The dataset includes meteorological variables such as air temperature, precipitation, wind direction and speed, relative humidity, atmospheric pressure, radiation, and evaporation. Data Quality Description: Daily resolution at station scale. Data Application Achievements and Prospects: Based on long-term observational data from all field stations of the Alpine Network and overseas stations in the Pan-Third Pole region, a series of datasets for meteorological, hydrological and ecological elements across the Pan-Third Pole region will be developed. Through intensive observations in key regions and validation using sample plots and sampling points, inversion of data products including meteorological elements, lake water volume and quality, above-ground vegetation biomass, glacier and permafrost changes will be completed. Leveraging Internet of Things (IoT) technology, a multi-station interconnected meteorological, hydrological and ecological data management platform will be constructed, enabling real-time data acquisition, remote control and data sharing.

搜集汇总

背景与挑战

背景概述

该数据集包含2014年至2018年高寒区（主要覆盖青藏高原）17个站点的气象观测数据，要素包括气温、气压、风速、辐射、湿度和降水等，时间分辨率为日数据，以XLSX格式存储，用于支持泛第三极地区气象、水文及生态研究。