A simple high-resolution heat-stress forecast for Seoul, Korea: coupling climate information with an operational numerical weather prediction model.

Britta Jänicke, Kyu Rang Kim, Changbum Cho

Abstract read

In one paragraph

Article in International journal of biometeorology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Britta JänickeApplied Meteorological Research Division, National Institute of Meteorological Sciences, 33, Seohobuk-ro, Seogwipo-si, Jeju-do, 63568, Republic of Korea. britta.jaenicke@posteo.net.ORCID https://orcid.org/0000-0001-6103-048X

Kyu Rang KimApplied Meteorological Research Division, National Institute of Meteorological Sciences, 33, Seohobuk-ro, Seogwipo-si, Jeju-do, 63568, Republic of Korea.ORCID https://orcid.org/0000-0001-8872-6751

Changbum ChoApplied Meteorological Research Division, National Institute of Meteorological Sciences, 33, Seohobuk-ro, Seogwipo-si, Jeju-do, 63568, Republic of Korea.ORCID https://orcid.org/0000-0003-1940-7487

Funding

Korea Meteorological Administration see statement

6 · The paper itself

Abstract

To provide a simple high-resolution heat-stress forecast for Seoul, Korea, we coupled a high-resolution climate simulation (25 m grid spacing) for an average heat day with the operational forecasting model (5 km grid spacing). Thereby, we accounted for the meso-scale weather conditions and local-scale air temperature induced by land cover and the urban heat island effect. Moreover, we estimated the impacts of heat events using heat-related mortality rate. Applying the simple high-resolution heat-stress forecast for July and August 2016, we detected a substantial spatial variability in maximum air temperature and heat-related mortality rate in Seoul. The evaluation of simulated maximum air temperature compared to observations revealed a small deviation (MB = 0.11 K, RMSD = 1.40 K). Despite the limitation of using average conditions, it was an efficient way to identify particularly affected areas, neighbourhoods, and districts for releasing more location-specific heat-stress warnings.

Indexed as

Hot TemperatureWeatherCitiesRepublic of KoreaSeoulHeat-related mortalityHeat-stressHigh-resolutionNumerical weather prediction modelUrban climateWeather forecast

Identifiers

PMID32166440

DOI10.1007/s00484-020-01893-1

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.