Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters
The importance of impact-based forecasting services, which can support decision-making, is being emphasized to reduce the damage of meteorological disasters, centered around the World Meteorological Organization. The Korea Meteorological Administration (KMA) began developing impact-based forecasting...
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MDPI AG
2020-08-01
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Series: | Atmosphere |
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Online Access: | https://www.mdpi.com/2073-4433/11/9/920 |
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author | Chaeyeon Yi Hojin Yang |
author_facet | Chaeyeon Yi Hojin Yang |
author_sort | Chaeyeon Yi |
collection | DOAJ |
description | The importance of impact-based forecasting services, which can support decision-making, is being emphasized to reduce the damage of meteorological disasters, centered around the World Meteorological Organization. The Korea Meteorological Administration (KMA) began developing impact-based forecasting technology and warning services in 2018. This paper proposes statistical downscaling and bias correction methods for acquiring high-resolution meteorological data for the heat-wave impact forecast system operated by KMA. Hence, digital forecast data from KMA, with 5 km spatial resolution, were downscaled and corrected to a spatial resolution of 1 km using statistical interpolation methods. Cross-validation indicated the superior performance of the Gaussian process regression model (GPRM) technique with low root mean square error and percent bias values and high CC value. The GPRM technology had the lowest forecast error, especially during the hottest period in Korea. In addition, temperatures for land-use areas with low elevations and high activity, such as the urban, road, and agricultural areas, were high. It is essential to provide accurate heat exposure information at the screen level with high human activity. Spatiotemporally accurate heat exposure information can be used more realistically for risk management in agriculture, livestock and fishery, and for adjusting the working hours of outdoor workers in construction and shipbuilding. |
first_indexed | 2024-03-10T16:43:31Z |
format | Article |
id | doaj.art-07417824461945b5881e7bf67325627e |
institution | Directory Open Access Journal |
issn | 2073-4433 |
language | English |
last_indexed | 2024-03-10T16:43:31Z |
publishDate | 2020-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Atmosphere |
spelling | doaj.art-07417824461945b5881e7bf67325627e2023-11-20T11:46:17ZengMDPI AGAtmosphere2073-44332020-08-0111992010.3390/atmos11090920Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave DisastersChaeyeon Yi0Hojin Yang1Research Center for Atmospheric Environment, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do 17035, KoreaResearch Center for Atmospheric Environment, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do 17035, KoreaThe importance of impact-based forecasting services, which can support decision-making, is being emphasized to reduce the damage of meteorological disasters, centered around the World Meteorological Organization. The Korea Meteorological Administration (KMA) began developing impact-based forecasting technology and warning services in 2018. This paper proposes statistical downscaling and bias correction methods for acquiring high-resolution meteorological data for the heat-wave impact forecast system operated by KMA. Hence, digital forecast data from KMA, with 5 km spatial resolution, were downscaled and corrected to a spatial resolution of 1 km using statistical interpolation methods. Cross-validation indicated the superior performance of the Gaussian process regression model (GPRM) technique with low root mean square error and percent bias values and high CC value. The GPRM technology had the lowest forecast error, especially during the hottest period in Korea. In addition, temperatures for land-use areas with low elevations and high activity, such as the urban, road, and agricultural areas, were high. It is essential to provide accurate heat exposure information at the screen level with high human activity. Spatiotemporally accurate heat exposure information can be used more realistically for risk management in agriculture, livestock and fishery, and for adjusting the working hours of outdoor workers in construction and shipbuilding.https://www.mdpi.com/2073-4433/11/9/920heat-wavesmeteorological datastatistical downscalinghealth hazardsscreen levelheat exposure map |
spellingShingle | Chaeyeon Yi Hojin Yang Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters Atmosphere heat-waves meteorological data statistical downscaling health hazards screen level heat exposure map |
title | Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters |
title_full | Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters |
title_fullStr | Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters |
title_full_unstemmed | Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters |
title_short | Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters |
title_sort | heat exposure information at screen level for an impact based forecasting and warning service for heat wave disasters |
topic | heat-waves meteorological data statistical downscaling health hazards screen level heat exposure map |
url | https://www.mdpi.com/2073-4433/11/9/920 |
work_keys_str_mv | AT chaeyeonyi heatexposureinformationatscreenlevelforanimpactbasedforecastingandwarningserviceforheatwavedisasters AT hojinyang heatexposureinformationatscreenlevelforanimpactbasedforecastingandwarningserviceforheatwavedisasters |