A dataset of Korean weather with anomaly score from 2010 to 2020

As the harmful effects of climate change on human society increase, the analysis of abnormal weather is becoming an important issue. Therefore, this work provides the Korean weather dataset, including the anomaly score measurements by using seven different methods. In this dataset, seven types of weather data for each day in 64 Korean cities from 2010 to 2020 are provided by Weather Radar Center in Korea Meteorological Administration. For measuring the weather anomaly scores, this work first constructs a graph by extracting the relationship features between the given weather data and maps the graph into low-dimensional vector space to obtain the embedding vector of weather data for each day. In the embedding space, seven anomaly detection methods are applied to measure the anomaly scores for each day by calculating the degree of an anomaly for each embedding vector.