Macquarie Island meteorological data at 30 minutes resolution from 2016-11-19 to 2018-03-14

From the project summary:

Both satellite products and climate models have large biases in the energy and water budgets over the Southern Ocean (SO), which is not surprising given this environment's unique nature. The air is free of dust and pollution, and the surface is governed by strong winds, large waves and heavy sea spray. These conditions lead to the greatest fractional cloud cover over any place on the globe. Much of these biases are a direct consequence of a poor understanding of the structure and dynamics of the SO atmospheric boundary layer, which in turn is a consequence of the sparse observations being available due to the harsh conditions. This proposals call for employing unmanned aerial vehicles/systems from Macquarie Island to make unprecedented observations of the boundary layer processes over the SO. These observations will be used to both model the boundary layer dynamics and clouds and evaluate satellite products and numerical simulations of surface fluxes, cloud properties and sea spray.

The data was recorded at lat: -54.5, lon:158.935. The observations include Absolute Humidity, Relative Humidity, Ambient Temperature, Potential Temperature, 3D wind speed, and Carbon concentration.
The data is in netcdf4 format with medium compression, and have all available information in the attributes of each variable. The data can be easily previewed with an application like Panoply (https://www.giss.nasa.gov/tools/panoply/).
The variable names are:
Ah_7500_Avg
Cc_7500_Avg
RH_HMP_Avg
Ta_HMP_Avg
Tpanel_Avg
Tv_CSAT_Avg
Ux_CSAT_Avg
Uy_CSAT_Avg
Uz_CSAT_Avg
Vbat_Avg
WD_CSAT_Avg
WD_CSAT_Compass_Avg
WD_CSAT_Sd
WS_CSAT_Avg
ps_7500_Avg
rho_a_Avg
time
time_YYYYmmDDHHMMSS

本项目摘要如下：
卫星产品与气候模式在南大洋（Southern Ocean, SO）的能量与水量收支方面存在显著偏差，考虑到该海域独特的环境特性，这一现象并不意外。该区域大气洁净无尘埃与污染物，海面则受强风、巨浪与大量海喷雾支配。上述条件造就了全球范围内最高的云量占比。
这些偏差很大程度上源于对南大洋大气边界层结构与动力学机制的认知不足，而这一认知缺口又源自该海域严酷环境下可获取的观测数据极为匮乏。本项目提议从麦夸里岛（Macquarie Island）部署无人飞行器/系统，对南大洋的边界层过程开展前所未有的观测。这些观测数据将被用于构建边界层动力学与云系模型，同时对卫星产品以及地表通量、云系特性与海喷雾的数值模拟结果进行评估。

本次观测数据的采集点位为：纬度-54.5，经度158.935。观测指标涵盖绝对湿度（Absolute Humidity）、相对湿度（Relative Humidity）、环境温度（Ambient Temperature）、位温（Potential Temperature）、三维风速以及碳浓度。
本次数据采用中等压缩的netCDF4格式存储，所有可用元数据均存储于各变量的属性字段中。用户可通过Panoply等工具（https://www.giss.nasa.gov/tools/panoply/）便捷预览该数据集。
变量名称如下：
Ah_7500_Avg
Cc_7500_Avg
RH_HMP_Avg
Ta_HMP_Avg
Tpanel_Avg
Tv_CSAT_Avg
Ux_CSAT_Avg
Uy_CSAT_Avg
Uz_CSAT_Avg
Vbat_Avg
WD_CSAT_Avg
WD_CSAT_Compass_Avg
WD_CSAT_Sd
WS_CSAT_Avg
ps_7500_Avg
rho_a_Avg
time
time_YYYYmmDDHHMMSS