Oliveira Ana, Lopes António, Correia Ezequiel
IPL-ESTM, Rua do Conhecimento nº4 2520-614 Peniche, Portugal.
IN+ Center for Innovation, Technology and Policy Research, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa 1049-001, Portugal.
Data Brief. 2022 Aug 4;44:108511. doi: 10.1016/j.dib.2022.108511. eCollection 2022 Oct.
The dataset includes six yearly time series of six Heatwave (HW) aspects/metrics (or statistical summaries) calculated from the E-OBS dataset (v19eHOM, available in https://www.ecad.eu/download/ensembles/downloadversion19.0eHOM.php) following the Excess Heat Factor (EHF) methodology implemented in the ClimPACT tool, in compliance with the guidelines established by the Expert Team on Climate Change Detection and Indices (ET-SCI). These aspects correspond to annual summaries of HW frequency, duration and intensity, considering solely the events occurring during the extended summer season (from June to September). Input Daily Maximum (TX) and Minimum (TN) near-surface air temperature data were retrieved from a European gridded dataset (E-OBS) - the ensemble homogenized version '19.0eHOM', at 0.1° × 0.1° spatial resolution, covering the European region, and retrieved from the EU-FP6 project UERRA (http://www.uerra.eu) and the Copernicus Climate Change Service. The E-OBS dataset is based on station observations, provided by the European Climate Assessment & Dataset. The here-presented HW aspects/summaries outputs of the ClimPACT tool correspond to the gridded annual statistical summaries of HW - these are detected based on the positive Excess Heat Factor (EHF) days, an HW index based on the human health response to heat extremes. The summaries include: (i) annual Number of Heatwaves (HWN); (ii) annual Heatwave Days Frequency (HWF); (iii) annual Maximum Heatwave Duration (HWD); (iv) annual Mean Heatwave Magnitude (HWM); and (v) annual Maximum Heatwave Amplitude (HWA). In addition, the annual maximum Heatwave Severity (HWS) was calculated, by dividing HWA by the 85th percentile of the positive EHF days. These annual time series can be used in HW-related studies focusing on the European region, particularly those focusing on climatology, trends, and impacts on human health.
该数据集包含六个热浪（HW）方面/指标（或统计摘要）的六年时间序列，这些指标是根据气候影响工具中实施的过剩热因子（EHF）方法，从E-OBS数据集（v19eHOM，可从https://www.ecad.eu/download/ensembles/downloadversion19.0eHOM.php获取）计算得出的，符合气候变化检测与指数专家团队（ET-SCI）制定的指南。这些方面对应于热浪频率、持续时间和强度的年度摘要，仅考虑在延长的夏季（6月至9月）期间发生的事件。输入的每日最高（TX）和最低（TN）近地面气温数据从欧洲网格化数据集（E-OBS）——集合均质化版本“19.0eHOM”中获取，空间分辨率为0.1°×0.1°，覆盖欧洲地区，并从欧盟第六框架计划项目UERRA（http://www.uerra.eu）和哥白尼气候变化服务中获取。E-OBS数据集基于欧洲气候评估与数据集提供的站点观测数据。这里展示的气候影响工具的热浪方面/摘要输出对应于热浪的网格化年度统计摘要——这些摘要是基于正过剩热因子（EHF）天数检测得出的，EHF是一个基于人类对极端高温的健康反应的热浪指数。这些摘要包括：（i）年度热浪数量（HWN）；（ii）年度热浪日频率（HWF）；（iii）年度最大热浪持续时间（HWD）；（iv）年度平均热浪强度（HWM）；以及（v）年度最大热浪幅度（HWA）。此外，通过将HWA除以正EHF天数的第85百分位数，计算出年度最大热浪严重程度（HWS）。这些年度时间序列可用于聚焦欧洲地区的与热浪相关的研究，特别是那些关注气候学、趋势以及对人类健康影响的研究。
