Baker Creek Research Catchment Hydrometeorological and Hydrological Data

This record is for the dataset “ Baker Creek Research Catchment Hydrometeorological and Hydrological Data” at https://doi.org/10.20383/101.026 . It is uncommon to collect long term coordinated hydrometeorological and hydrological data in northern circumpolar regions. However, such datasets can be very valuable for engineering design, improving environmental prediction tools or detecting change. This dataset documents hydrometeorological and hydrological conditions in the Baker Creek Research Catchment from 2003 to 2016. Baker Creek drains water from 155 km2 of subarctic Canadian Shield terrain in Canada’s Northwest Territories. Seasonal half hourly hydrometeorological, ground temperature and soil moisture data were collected from representative locations, including exposed Precambrian bedrock ridges, peatlands, open black spruce forest and lakes. Hydrometeorological data includes incoming radiation, rainfall, temperature, humidity, winds, barometric pressure, and turbulent fluxes. Spring maximum snowpack water equivalent, depth and density data are included. Daily streamflow data are available from a series of nested watersheds ranging in size from 9 to 128 km2. These data provide the scientific and engineering communities with an opportunity to advance understanding of geophysical processes and improve infrastructure resiliency in this remote region. This dataset can be downloaded at: https://doi.org/10.20383/101.026本数据集为收录于https://doi.org/10.20383/101.026的贝克溪研究流域水文气象与水文数据（Baker Creek Research Catchment Hydrometeorological and Hydrological Data）。在环北极北部地区开展长期协同式水文气象与水文数据采集工作的情况较为罕见，但此类数据集对于工程设计、优化环境预测工具乃至变化检测均具有极高的应用价值。本数据集记录了2003年至2016年期间贝克溪研究流域的水文气象与水文状况。贝克溪的汇水范围覆盖加拿大西北地区155平方千米的亚寒带加拿大地盾（Canadian Shield）地貌区。研究人员在多个代表性点位采集了季节性的半小时分辨率水文气象、地温及土壤湿度数据，点位涵盖裸露的前寒武纪基岩脊、泥炭地、开放型黑云杉林与湖泊。水文气象数据涵盖入射辐射、降雨量、气温、相对湿度、风速、大气压力与湍流通量。数据集还包含春季最大积雪水当量、积雪深度与积雪密度数据。此外，本数据集还提供了一系列嵌套流域（nested watersheds）的日径流量数据，流域面积介于9至128平方千米之间。这些数据可为科学与工程学界提供契机，以深化对该偏远地区地球物理过程的理解，并提升当地基础设施的韧性。研究人员可通过https://doi.org/10.20383/101.026下载获取本数据集。