藏东南垂直剖面气象数据（风、温、湿、压）

藏东南垂直剖面气象数据主要包括风、温度、湿度和气压等气象要素。通过这些要素，可以更好地理解大气层结构、气候变化及天气变化。本数据来源于第二次青藏高原综合科考中“极目一号”浮空艇平台的大气组分原位观测。2019年1月、2019年4月、2020年12月及2022年1月研究人员在藏东南鲁朗镇（东经94°728'，北纬29°728'，海拔3326m）开展浮空艇大气组分原位观测。浮空艇搭载高精度气象传感器，通过升空作业获取不同垂直高度上的气象参数。数据加工主要是将观测数据按照垂直高度进行分组，将原始观测数据按每50米高度计算风、温、湿、压等要素的月均值。该垂直剖面气象数据为青藏高原地区气候系统和水汽循环研究提供了重要基础资料，结合水汽稳定同位素数据，可用于识别水汽来源、追踪其输送路径，并揭示高原地区复杂地形对气象因子的调控作用。

The vertical profile meteorological dataset in southeastern Tibet primarily covers meteorological parameters including wind, temperature, humidity and atmospheric pressure. These parameters facilitate a more comprehensive understanding of atmospheric structure, climate change and weather variability.
This dataset is derived from in-situ observations of atmospheric components using the Jimu No.1 airship platform during the Second Tibetan Plateau Comprehensive Scientific Expedition. In January 2019, April 2019, December 2020 and January 2022, researchers conducted in-situ atmospheric component observations via airship launches at Lulang Town, southeastern Tibet (94°728' E, 29°728' N, 3326 m above sea level).
The airship was fitted with high-precision meteorological sensors, collecting meteorological parameters at various vertical heights during its ascending flights.
Data processing mainly entails grouping the original observational data by vertical altitude, and calculating the monthly averages of wind, temperature, humidity, atmospheric pressure and other relevant meteorological elements for each 50-meter altitude interval.
This vertical profile meteorological dataset provides essential foundational data for research on the climate system and water vapor cycle in the Tibetan Plateau region. When combined with water vapor stable isotope data, it can be used to identify water vapor sources, trace their transport pathways, and uncover the regulatory effects of the plateau's complex terrain on meteorological factors.

搜集汇总

背景与挑战

背景概述

该数据集包含2019年1月、2019年4月、2020年12月和2022年1月在藏东南鲁朗镇通过浮空艇观测获取的垂直剖面气象数据，涵盖风、温度、湿度和气压等要素，空间分辨率为10m - 100m。数据经过分组和月均值计算，为研究青藏高原地区气候系统和水汽循环提供了重要基础资料。