High-frequency, hourly, and daily measurements from Canada Glacier Meteorological Station (CAAM), McMurdo Dry Valleys, Antarctica (1994-2024, ongoing)

As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Canada Glacier Meteorological Station (CAAM), which was established in 1994 within the ablation zone of Canada Glacier, between the Hoare and Fryxell Basins of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, incoming and outgoing shortwave radiation, wind speed and direction, and surface (snow/ice) temperature. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.

作为麦克默多干谷长期生态研究（McMurdo Dry Valleys Long-Term Ecological Research）计划的一部分，科研人员在南极洲麦克默多干谷区域搭建了一套空间分布式长期气候监测网络，该网络包含14台科研级气象站，可连续采集一套标准化环境参数。该区域的生态系统过程受气候驱动因子强烈调控，而这些驱动因子在时间与空间上均呈现高度变异性，因此以高时空分辨率精准测定环境变量，是理解这片极地荒漠生态系统生物物理动态的必要前提。本数据集包含加拿大冰川气象站（Canada Glacier Meteorological Station，CAAM）的观测数据，该站于1994年设立于南极洲麦克默多干谷泰勒谷的霍尔盆地与弗莱克塞尔盆地之间的加拿大冰川消融区。观测参数涵盖气温、相对湿度、入射与出射短波辐射、风速与风向，以及地表（积雪/冰面）温度。数据以高频率（通常为15分钟间隔）提供，并附带逐小时与逐日汇总结果。用户需注意，汇总统计结果可能受数据缺失时段的影响。由于目前尚无处理时间序列数据缺失值的通用公认标准，建议用户优先使用高频原始数据，并自行制定可接受的数据完整性标准，以尽可能降低潜在偏差。