In May 2025, the average temperature in Gwangju, South Korea was 18.2 degrees Celsius. August 2024 was the city's hottest month in the past six years, while December 2022 and February 2025 were the coldest, with an average temperature of 1.1 degrees Celsius.

Temperature in South Korea increased to 13.64 celsius in 2024 from 13.32 celsius in 2023. This dataset includes a chart with historical data for South Korea Average Temperature.

In 2024, precipitation in Jeju in South Korea was the highest nationwide, with about 1928.9 millimeters. Gyeongnam followed with around 1713.6 millimeters.

In May 2025, the average temperature in Seoul, South Korea was **** degrees Celsius. August 2024 was the hottest month in the city in the past six years, while December 2022 was the coldest, with an average temperature of minus *** degrees Celsius.

The average temperature in South Korea in 2024 was **** degrees Celsius. The average temperature in South Korea has risen steadily over the years, which is shown in the graph. Extreme weather South Korea has a distinct four-season climate. Generally, summer in South Korea is humid and hot, while winter is dry and cold. However, the summer climate, which usually lasts from June to August, is getting longer and can last from May through to September. Especially in summer, extreme weather such as tropical nights, typhoons, and heatwaves occur. Recently, there was an increase in the consecutive days in which heatwaves reached temperatures above ** degrees. Greenhouse gas emissions South Korea is suffering from air pollution problems, such as yellow dust and fine dust, that have increased rapidly over recent years. In addition, as the carbon dioxide concentration has continued to rise, the average annual temperature has also risen steadily, resulting in abnormal climates, such as heatwaves in summer or extreme cold in winter. South Korea is one of the countries that produces a lot of greenhouse gases. Due to the manufacturing-oriented industrial structure, greenhouse gas emissions from energy use account for a large portion.

In June 2025, the average temperature in South Korea was **** degrees Celsius. August 2024 was the hottest month in the past five years, with a mean of around **** degrees Celsius. In the same period, December 2022 was the coldest month, with an average temperature of minus *** degrees Celsius.

Dataset Overview:

This dataset provides a detailed record of daily weather conditions in Seoul, South Korea, from January 1, 2024. The dataset is updated frequently, with new data added daily or every two days, making it a valuable resource for analyzing recent and historical weather patterns.

Contents:

The dataset contains the following columns: - Date (datetime): The date of the recorded weather data. - Maximum Temperature (tempmax): The highest temperature recorded on the day (°F). - Minimum Temperature (tempmin): The lowest temperature recorded on the day (°F). - Average Temperature (temp): The average temperature recorded on the day (°F). - Feels Like Temperature (feelslike): The perceived temperature, factoring in humidity and wind (°F). - Dew Point (dew): The temperature at which dew forms (°F). - Humidity (humidity): The percentage of humidity in the air. - Precipitation (precip): The total precipitation recorded (mm). - Snow (snow): The total snowfall recorded (mm). - Wind Speed (windspeed): The average wind speed (km/h). - Wind Direction (winddir): The direction from which the wind is blowing (degrees). - Sea Level Pressure (sealevelpressure): The atmospheric pressure at sea level (hPa). - Cloud Cover (cloudcover): The percentage of sky covered by clouds. - Visibility (visibility): The visibility distance (km). - Solar Radiation (solarradiation): The solar radiation received on the surface (W/m²). - UV Index (uvindex): The UV index measuring the strength of sunburn-producing ultraviolet radiation. - Conditions (conditions): A description of the weather conditions (e.g., Clear, Partly Cloudy). - Description (description): A textual description of the day's weather.

Usage and Applications:

• Weather Analysis: Analyze trends and patterns in weather conditions over time.
• Climate Studies: Investigate changes in climate variables and their potential impacts.
• Machine Learning: Train models for weather prediction, anomaly detection, or related tasks.
• Comparative Analysis: Compare weather data with other regions or historical data for Seoul.

Data Source:

The data is sourced from reliable meteorological stations and compiled by [Your Data Source or Provider]. The dataset is continuously updated to provide the latest available data.

Updates:

This dataset is actively maintained and updated daily or every two days, ensuring that it reflects the most current weather conditions. Please check back regularly for the latest updates.

**Note: **This dataset is intended for educational and research purposes. Users are encouraged to cite the original data source when using this dataset in publications or presentations.

In 2023, the average temperature for summer in South Korea was **** degrees Celsius. South Korea has four distinct seasons, which can be seen in the different average temperatures for each season.

Predicted changes in annual average precipitation (%), and annual average temperature (℃) for the near future (2041-2070) and far future (2071-2100) in Republic of Korea (ROK). Projections are based on the ACCESS-ESM1-5 model for scenarios SSP245 and SSP585.

Temperature in North Korea increased to 8.33 celsius in 2024 from 8.07 celsius in 2023. This dataset includes a chart with historical data for North Korea Average Temperature.

In 2024, the average maximum temperature in South Korea reached **** degrees Celsius, slightly higher than the previous year. The annual average maximum temperature in South Korea has risen steadily over the measured period. Temperature trends by season South Korea has four seasons, each characterized by its own distinctive temperature trends. The average summer temperature recorded in South Korea has ranged from ** to ** degrees Celsius. Although average temperatures generally indicate moderate warmth, 31 heat-wave days were recorded in 2018 alone, far above the average value. Conversely, winter in South Korea is the coldest and driest season, with an average temperature of about *** degrees Celsius in 2023. Climate change and response Climate change has impacted South Korea. Despite the minor ups and downs in temperature, the annual average temperature has moved gradually upward, showing a difference of more than *** degree Celsius from 2023 to 1973. Additionally, the number of heatwave days has increased substantially compared to previous decades. This has not gone unnoticed, as most legislative members of the National Assembly have identified addressing the enactment and revision of policies as a priority in responding to the climate crisis.

Climate data and weather trends for Hwaseong-si, South Korea. View temperature patterns, precipitation data, and historical climate analysis.

Climate data and weather trends for Ansan-si, South Korea. View temperature patterns, precipitation data, and historical climate analysis.

In 2024, the average maximum temperature in Seoul, South Korea was **** degrees Celsius. This was the highest recorded maximum temperature since 1954.

South Korea Climate Change: Tax Revenue: % of GDP: Transport data was reported at 0.471 % in 2021. This records a decrease from the previous number of 0.475 % for 2020. South Korea Climate Change: Tax Revenue: % of GDP: Transport data is updated yearly, averaging 0.599 % from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 0.985 % in 1996 and a record low of 0.458 % in 2019. South Korea Climate Change: Tax Revenue: % of GDP: Transport data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Cross Cutting Domains: OECD Member: Annual.

This dataset provides comprehensive hydrometeorological data from South Korea, sourced through the WAMIS Open API. It includes hourly, daily, and monthly records of precipitation, water levels, meteorological conditions, river flow rates, and suspended sediment loads. The data is collected from various stations across South Korea and is regularly updated to support environmental monitoring, research, and water resource management. Users can access real-time and historical data, making this dataset valuable for climate studies, hydrological modeling, and infrastructure planning.

This catalog includes the following data resources:

Hourly Precipitation Data: Precipitation levels recorded every hour over the last 3 days.

Daily Precipitation Data: Daily precipitation measurements covering the last 3 months.

Monthly Precipitation Data: Monthly precipitation data spanning the last 3 years.

Hourly Water Level Data: Water level data recorded hourly for various rivers, updated every 3 hours.

Daily Water Level Data: Daily water level records from the last 3 months for multiple stations.

Hourly Meteorological Data: Hourly meteorological data including temperature, humidity, wind speed, and solar radiation.

Daily Meteorological Data: Daily meteorological summaries, ideal for longer-term climate analysis.

Daily River Flow Rate Data: Daily records of river flow rates for the current year.

Suspended Sediment Load Data: Information on sediment load concentrations and flow rates over the last 3 years.

Korea is one of the countries that consume natural gas most in the world to heat houses.

Gas demand is dependent on the weather; ascending demand by getting colder.

This data can help anticipate future gas demand.

Climate data and weather trends for Kimhae, South Korea. View temperature patterns, precipitation data, and historical climate analysis.

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

Temperature Forecast Project using ML

Problem Statement:

Data Set Information:

This data is for the purpose of bias correction of next-day maximum and minimum air temperatures forecast of the LDAPS model operated by the Korea Meteorological Administration over Seoul, South Korea. This data consists of summer data from 2013 to 2017. The input data is largely composed of the LDAPS model's next-day forecast data, in-situ maximum and minimum temperatures of present-day, and geographic auxiliary variables. There are two outputs (i.e. next-day maximum and minimum air temperatures) in this data. Hindcast validation was conducted for the period from 2015 to 2017.

Attribute Information:

For more information, read [Cho et al, 2020]. 1. station - used weather station number: 1 to 25 2. Date - Present day: yyyy-mm-dd ('2013-06-30' to '2017-08-30') 3. Present_Tmax - Maximum air temperature between 0 and 21 h on the present day (°C): 20 to 37.6 4. Present_Tmin - Minimum air temperature between 0 and 21 h on the present day (°C): 11.3 to 29.9 5. LDAPS_RHmin - LDAPS model forecast of next-day minimum relative humidity (%): 19.8 to 98.5 6. LDAPS_RHmax - LDAPS model forecast of next-day maximum relative humidity (%): 58.9 to 100 7. LDAPS_Tmax_lapse - LDAPS model forecast of next-day maximum air temperature applied lapse rate (°C): 17.6 to 38.5 8. LDAPS_Tmin_lapse - LDAPS model forecast of next-day minimum air temperature applied lapse rate (°C): 14.3 to 29.6 9. LDAPS_WS - LDAPS model forecast of next-day average wind speed (m/s): 2.9 to 21.9 10. LDAPS_LH - LDAPS model forecast of next-day average latent heat flux (W/m2): -13.6 to 213.4 11. LDAPS_CC1 - LDAPS model forecast of next-day 1st 6-hour split average cloud cover (0-5 h) (%): 0 to 0.97 12. LDAPS_CC2 - LDAPS model forecast of next-day 2nd 6-hour split average cloud cover (6-11 h) (%): 0 to 0.97 13. LDAPS_CC3 - LDAPS model forecast of next-day 3rd 6-hour split average cloud cover (12-17 h) (%): 0 to 0.98 14. LDAPS_CC4 - LDAPS model forecast of next-day 4th 6-hour split average cloud cover (18-23 h) (%): 0 to 0.97 15. LDAPS_PPT1 - LDAPS model forecast of next-day 1st 6-hour split average precipitation (0-5 h) (%): 0 to 23.7 16. LDAPS_PPT2 - LDAPS model forecast of next-day 2nd 6-hour split average precipitation (6-11 h) (%): 0 to 21.6 17. LDAPS_PPT3 - LDAPS model forecast of next-day 3rd 6-hour split average precipitation (12-17 h) (%): 0 to 15.8 18. LDAPS_PPT4 - LDAPS model forecast of next-day 4th 6-hour split average precipitation (18-23 h) (%): 0 to 16.7 19. lat - Latitude (°): 37.456 to 37.645 20. lon - Longitude (°): 126.826 to 127.135 21. DEM - Elevation (m): 12.4 to 212.3 22. Slope - Slope (°): 0.1 to 5.2 23. Solar radiation - Daily incoming solar radiation (wh/m2): 4329.5 to 5992.9 24. Next_Tmax - The next-day maximum air temperature (°C): 17.4 to 38.9 25. Next_Tmin - The next-day minimum air temperature (°C): 11.3 to 29.8T

Please note that there are two target variables here:

1) Next_Tmax: Next day maximum temperature

2) Next_Tmin: Next day minimum temperature