EMDNA: Ensemble Meteorological Dataset for North America

The Ensemble Meteorological Dataset for North America (EMDNA) contains daily precipitation, mean daily temperature, and daily temperature range at the 0.1-degree resolution from 1979 to 2018. Minimum and maximum temperature can be calculated from mean temperature and temperature range. EMDNA merges station observations and reanalysis model outputs to improve the quality of estimates. The dataset is expected to be useful for hydrological and meteorological applications in North America.
Two types of datasets are provided by EMDNA, including the probabilistic dataset and the deterministic dataset. The probabilistic dataset has 100 equally plausible ensemble members, which can be used to evaluate the impact of the uncertainties in a myriad of applications. The deterministic dataset is generated during the production of ensemble members and can be applied in studies that do not need uncertainty estimation.

北美气象综合数据集（EMDNA）收录了自1979年至2018年的每日降水量、平均每日气温以及每日气温变幅，数据分辨率为0.1度。通过平均气温与气温变幅，可推算出最低和最高气温。EMDNA通过整合站点观测数据和再分析模型输出，以提高估计质量。该数据集预期将适用于北美地区的水文和气象应用。EMDNA提供了两种类型的数据集，包括概率数据集和确定性数据集。概率数据集包含100个等可能的集合成员，可用于评估众多应用中不确定性的影响。确定性数据集在生成集合成员期间生成，适用于无需进行不确定性估计的研究。