CAMS-REG-TEMPOv3.2

The CAMS REGional TEMPOral (CAMS-REG-TEMPO) dataset consists of a collection of European regional temporal factors that follow the domain description (resolution and geographical area covered) and sector classification reported by the CAMS-REG-AP emission inventory. The dataset includes monthly, weekly, daily (day-of-the-year) and hourly temporal profiles for the priority air pollutants. Depending on the pollutant source and temporal resolution (i.e., monthly, weekly, daily, hourly), the resulting profiles are reported as spatially invariant (i.e., a unique set of temporal weights for all the domain) or spatially variant (i.e., temporal weights vary per grid cell or country). Similarly, depending on the characteristics of the input data used and approaches to compute the profiles, these can be yearly dependent and/or pollutant dependent. Multiple sources of information – including energy statistics and measured activity data, among others – and meteorology-dependent parametrizations (e.g., heating degree day approach) have been collected, processed and used to construct the profiles. A detailed description of the datasets and parametrization considered is available in Guevara et al., (2021).CAMS区域时间特征（CAMS-REG-TEMPO）数据集收录了一系列欧洲区域时间因子，这些因子严格遵循CAMS-REG-AP排放清单所规定的区域描述（分辨率与覆盖地理范围）及行业分类标准。该数据集涵盖了重点大气污染物的月尺度、周尺度、日尺度（年内日期）以及逐时时间分布廓线。根据污染物来源与时间分辨率（即月、周、日、逐时）的不同，生成的时间分布廓线可分为空间不变型（即全研究区域采用唯一一组时间权重）与空间可变型（即各网格单元或国家的时间权重存在差异）。同理，根据所用输入数据的特征与廓线计算方法的不同，这些时间分布廓线可分为逐年相关型和/或逐污染物相关型。研究团队收集、处理并整合了多源信息（包括能源统计数据、实测活动数据等）以及依赖气象条件的参数化方案（例如采暖度日数方法），以此构建上述时间分布廓线。关于本数据集及所用参数化方案的详细说明可参见Guevara等人（2021）的研究成果。