five

2014-2019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

收藏
地球大数据科学工程2024-05-01 收录
下载链接:
https://data.casearth.cn/sdo/detail/65388170819aec0f26f145d1
下载链接
链接失效反馈
官方服务:
资源简介:
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)。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 (including elements and their meanings): 1. 21 field stations of the Alpine Network: Southeastern Tibet Station, Nam Co Station, Mount Qomolangma Station, Muztagh Station, Ali Station, Naqu Station, Shuanghu Station, Golmud Station, Tianshan Station, Qilian Mountains Station, Zoige Station (Northwest Institute), Yulong Snow Mountain Station, Naqu Station (Cold and Arid Regions Institute), Haibei Station, Sanjiangyuan Station, Shenzha Station, Gongga Mountain Station, Zoige Station (Chengdu Institute of Biology), Naqu Station (Institute of Geography), Lhasa Station, Qinghai Lake Station. 2. Qinghai-Tibet Plateau meteorological observation dataset, with observation elements including air temperature, precipitation, wind direction and speed, relative humidity, atmospheric pressure, radiation and evaporation. Data Quality Description: Daily resolution at all stations. Data Application Achievements and Prospects: Based on the long-term observation data from various field stations of the Alpine Network and overseas stations in the Pan-Third Pole region, a series of datasets covering meteorological, hydrological and ecological elements in the Pan-Third Pole region has been established; through intensive observations in key regions and verification via sample plots and sampling points, the inversion of multiple data products has been completed, including meteorological elements, lake water volume and quality, above-ground vegetation biomass, and glacial and permafrost changes; relying on Internet of Things (IoT) technology, a multi-station interconnected meteorological, hydrological and ecological data management platform has been developed and constructed, enabling real-time acquisition, remote control and sharing of interconnected data.
提供机构:
中国科学院青藏高原研究所
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集是2014-2019年期间高寒区17个站点的气象观测数据,涵盖气温、气压、风速、辐射、湿度和降水等多个气象要素,以站点日分辨率记录。数据集旨在支持泛第三极地区的气象、水文和生态研究,通过长期观测数据建立系列数据集,并应用于数据反演和管理平台建设。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务