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Data on winter daily minimum temperature and heat energy consumption in South Korea.

ABSTRACT: This article contains the raw data on daily minimum temperature from 1976 to 2015 and energy consumption data from 1997 to 2015 in South Korea. The daily minimum temperature data were obtained from the observed record contained in the Korea Meteorological Administration Database. The monthly heat sales data were obtained from the Korea District Heating Corporation, which is a district heating public corporation. The heating energy sales data were collected from 1997 to 2015. We considered December, February, and December as winter season.

SUBMITTER: Kim Y

PROVIDER: S-EPMC7118299 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Data on winter daily minimum temperature and heat energy consumption in South Korea.

Kim Yunsoung Y Lee Sanghoon S

Data in brief 20200316

This article contains the raw data on daily minimum temperature from 1976 to 2015 and energy consumption data from 1997 to 2015 in South Korea. The daily minimum temperature data were obtained from the observed record contained in the Korea Meteorological Administration Database. The monthly heat sales data were obtained from the Korea District Heating Corporation, which is a district heating public corporation. The heating energy sales data were collected from 1997 to 2015. We considered Decemb ...[more]

PMID: 32258275

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Project description:BackgroundVegetation phenology research has largely focused on temperate deciduous forests, thus limiting our understanding of the response of evergreen vegetation to climate change in tropical and subtropical regions.ResultsUsing satellite solar-induced chlorophyll fluorescence (SIF) and MODIS enhanced vegetation index (EVI) data, we applied two methods to evaluate temporal and spatial patterns of the end of the growing season (EGS) in subtropical vegetation in China, and analyze the dependence of EGS on preseason maximum and minimum temperatures as well as cumulative precipitation. Our results indicated that the averaged EGS derived from the SIF and EVI based on the two methods (dynamic threshold method and derivative method) was later than that derived from gross primary productivity (GPP) based on the eddy covariance technique, and the time-lag for EGSsif and EGSevi was approximately 2 weeks and 4 weeks, respectively. We found that EGS was positively correlated with preseason minimum temperature and cumulative precipitation (accounting for more than 73% and 62% of the study areas, respectively), but negatively correlated with preseason maximum temperature (accounting for more than 59% of the study areas). In addition, EGS was more sensitive to the changes in the preseason minimum temperature than to other climatic factors, and an increase in the preseason minimum temperature significantly delayed the EGS in evergreen forests, shrub and grassland.ConclusionsOur results indicated that the SIF outperformed traditional vegetation indices in capturing the autumn photosynthetic phenology of evergreen forest in the subtropical region of China. We found that minimum temperature plays a significant role in determining autumn photosynthetic phenology in the study region. These findings contribute to improving our understanding of the response of the EGS to climate change in subtropical vegetation of China, and provide a new perspective for accurately evaluating the role played by evergreen vegetation in the regional carbon budget.Supplementary informationThe online version contains supplementary material available at 10.1186/s40663-021-00309-9.

Dataset Information

Data on winter daily minimum temperature and heat energy consumption in South Korea.

Publications

Data on winter daily minimum temperature and heat energy consumption in South Korea.

Similar Datasets

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