A spatiotemporally harmonized dataset of utility-reported power outages and NWS VTEC weather warnings for the contiguous United States (2015-2024).

IF 7.2 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2026-09-19 DOI:10.1038/s41597-026-08356-z

Shah Saki, Giulia Sofia, Bandana Kar, Emmanouil Anagnostou

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引用次数: 0

Abstract

Power grids across the United States are increasingly exposed to weather-related disruption, yet reproducible analyses are limited by differences in the spatial and temporal structure of outage and meteorological records. This Data Descriptor presents a harmonized, event-based archive linking county-level customer power-outage records from the U.S. Department of Energy EAGLE-I platform with National Weather Service watches, warnings and advisories encoded through the Valid Time Event Code system. The archive spans the contiguous United States from 2015 through 2024. The primary released file contains hourly indexed, positive processed outage observations that overlap at least one VTEC warning and include event identifiers, matched warning types, and source-record availability diagnostics. Companion files provide the consolidated warning archive, daily county-level EAGLE-I source-record availability and sensitivity summaries evaluating missing-record treatment, temporal aggregation, and recovery persistence. Technical validation quantifies the consequences of preprocessing assumptions and documents spatial, temporal and warning-matching consistency. The dataset supports reproducible analysis of spatiotemporal co-occurrence between reported power disruptions and operational weather warnings while explicitly retaining limitations associated with the underlying outage record.

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2015-2024年美国连续地区公用事业报告停电和NWS VTEC天气预警的时空协调数据集。

美国各地的电网越来越多地受到与天气有关的干扰，但可重复的分析受到停电和气象记录的时空结构差异的限制。此数据描述符提供了一个统一的、基于事件的档案，将来自美国能源部EAGLE-I平台的县级客户停电记录与通过有效时间事件代码系统编码的国家气象局手表、警告和咨询联系起来。该档案涵盖了2015年至2024年的美国本土。主发布文件包含每小时索引一次的、经过积极处理的停机观察结果，这些观察结果至少与一个VTEC警告重叠，并包括事件标识符、匹配的警告类型和源记录可用性诊断。配套文件提供综合预警档案、每日县级EAGLE-I源记录可用性和敏感性摘要，评估缺失记录处理、时间聚合和恢复持久性。技术验证量化了预处理假设的结果，并记录了空间、时间和警告匹配一致性。该数据集支持对报告的电力中断和运行天气警报之间的时空共现性进行可重复分析，同时明确保留与潜在停电记录相关的限制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.