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 Incheon, South Korea was 16.5 degrees Celsius. August 2024 was the city's hottest month in the past six years, while December 2022 was the coldest, with an average temperature of minus 2.6 degrees Celsius.

In 2024, the average minimum temperature in Seoul, South Korea, reached 11 degrees Celsius. This was the highest recorded minimum temperature since 1954.

In 2024, Jeju was the warmest region in South Korea with an average temperature of 17.8 degrees Celsius. Gangwon (Yeongseo) was the coldest region, with an average temperature of 12.4 degrees Celsius.

This is climate data for major cities in South Korea (Seoul, Incheon, Daegu, Daejeon, Busan, and Jeju), originally provided by the Korea Meteorological Administration. I converted it to weekly data. Temperature and humidity have been standardized to show the highest, lowest, and average values for each week. The data covers the years from 2017 to 2024.

In May 2025, the average temperature in Jeju, South Korea, was 17.5 degrees Celsius. The island's hottest month was August 2024, while February 2022 was the coldest, with an average temperature of 5.2 degrees Celsius.

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.

In May 2025, the average temperature in Busan, South Korea was 17.4 degrees Celsius. August 2024 was the city's hottest month in the past five years, while February 2025 was the coldest, with an average temperature of 2.9 degrees Celsius.

In June 2025, the average temperature in South Korea was 22.4 degrees Celsius. August 2024 was the hottest month in the past five years, with a mean of around 27.9 degrees Celsius. In the same period, December 2022 was the coldest month, with an average temperature of minus 1.4 degrees Celsius.

South Korea Climate Change: Tax Revenue: % of Total Environmental Related Tax Revenue: Energy data was reported at 60.299 % in 2014. This records a decrease from the previous number of 62.378 % for 2013. South Korea Climate Change: Tax Revenue: % of Total Environmental Related Tax Revenue: Energy data is updated yearly, averaging 71.778 % from Dec 1994 (Median) to 2014, with 21 observations. The data reached an all-time high of 79.596 % in 2004 and a record low of 43.886 % in 1994. South Korea Climate Change: Tax Revenue: % of Total Environmental Related Tax Revenue: Energy 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.

The average temperature in South Korea in 2024 was 14.9 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. In general, summer in South Korea is humid and hot, and 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 33 degrees. Greenhouse gas emissions South Korea is suffering from air pollution problems such as yellow dust and fine dust that have increased rapidly throughout 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 producing a lot of greenhouse gases. Due to the manufacturing-oriented industrial structure, greenhouse gas emissions from energy use accounts for a large portion.

Do people care about future generations? Moral philosophers say we should, but it is unclear whether laypeople agree. In particular, humanity’s inadequate efforts to mitigate climate change could be due to public indifference or heavy discounting of future generations’ well-being. Using surveys and survey experiments in four countries—Sweden, Spain, South Korea, and China—we found that most people say they care about future generations, and would be willing to reduce their standard of living so that people can enjoy better lives in the future. However, not everyone who says they care supports two public actions that could be taken for the benefit of future generations: policies to reduce either global warming or national debt. We find evidence that much of people’s apparent lack of concern for future generations is actually due to distrust of major social institutions, and associated doubts about the effectiveness of future-oriented policies.

Comprehensive dataset of 44 Weather forecast services in South Korea as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

South Korea Climate Change: Tax Revenue: USD: Transport data was reported at 8.558 USD bn in 2021. This records an increase from the previous number of 7.804 USD bn for 2020. South Korea Climate Change: Tax Revenue: USD: Transport data is updated yearly, averaging 5.896 USD bn from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 13.006 USD bn in 2014 and a record low of 2.859 USD bn in 1998. South Korea Climate Change: Tax Revenue: USD: 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.

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.

The South Korean satellite-based Earth observation market is experiencing robust growth, driven by increasing government investment in infrastructure development, a heightened focus on precision agriculture, and the expanding need for effective climate change monitoring and mitigation strategies. The market's Compound Annual Growth Rate (CAGR) of 8.94% from 2019 to 2024 suggests a significant expansion, and this upward trajectory is expected to continue throughout the forecast period (2025-2033). Key market segments include Earth observation data provision, value-added services (such as data processing and analysis), and various satellite orbit types catering to diverse applications. The strong demand stems from sectors like urban development and cultural heritage preservation, where satellite imagery facilitates efficient planning and monitoring. Agriculture benefits from precise land management and crop yield optimization enabled by this technology, while the energy and raw materials sector leverages it for resource exploration and monitoring. Infrastructure projects rely heavily on Earth observation data for planning, construction, and maintenance. Furthermore, the growing awareness of climate change is driving the adoption of climate services based on satellite data. Leading companies such as Airbus, Korea Aerospace Industries Ltd., Satrec Initiative Co Ltd, Dabeeo Inc, and Geofocus Co Ltd are actively shaping the market landscape through their technological advancements and service offerings. The projected market size for 2025 serves as a crucial benchmark. Considering the 8.94% CAGR from 2019-2024 and anticipating sustained growth, a reasonable estimation suggests a substantial market value for South Korea in 2025. While the specific figure is not provided, factors like continued government support for space technology, increasing private sector investment, and the ongoing technological advancements in satellite imagery resolution and analytical capabilities all point towards substantial market expansion during the forecast period. The continued growth will likely be fueled by the increasing integration of artificial intelligence and machine learning in the analysis of satellite data, leading to more sophisticated and actionable insights across all sectors. This will drive further adoption and market expansion in the coming years. Recent developments include: November 2022: Dabeeo, an artificial intelligence (AI)-based geospatial information technology company, joined forces with Maxar Technology, a space technology and intelligence company. This organization enables Dabeeo to extend its domestic and global earth perception administration business. Dabeeo is expanding the market for its technologies to include forest monitoring and urban change detection. Dabeeo and Maxar will work together in several areas as a result of the partnership, including the sale of Maxar's satellite images because Maxar is a company with a lot of high-resolution data on the global market for satellite image services. Through this partnership, Dabeeo can offer satellite image data and more adaptable technical collaboration., June 2021: An agreement was signed between UP42 and SI Imaging Services (SIIS) of Daejeon, South Korea, to make KOMPSAT satellite imagery accessible on the UP42 marketplace and developer platform. Synthetic aperture radar (SAR) data from KOMPSAT-5 and high-resolution optical imagery from KOMPSAT-3 and -3A are included in the deal. In addition to satellite imagery from five international organizations, KOMPSAT imagery is a valuable addition to the more than 50 geospatial data sets that are currently available on the UP42 marketplace. Users of UP42 will find that the imagery from the Korean constellation complements other data products because it has a wide range of dynamic ranges, a variety of spatial and spectral capabilities, afternoon acquisition times, a large archive, and attractive price points.. Key drivers for this market are: Government Initiatives and Investments, Technological Advancements. Potential restraints include: Budget Constraints and Technological Limitations. Notable trends are: Government initiatives and investments is analyzed to drive the market during the forecast period.

Species distribution modeling is widely used for evaluating invasion risk, and for prioritizing areas for the control and management of invasive species. However, selecting a modeling tool that accurately predicts species invasion risk requires a systematic approach. In this study, five species distribution models (SDMs), namely, artificial neural network (ANN), generalized linear model (GLM), multivariate adaptive regression splines (MARS), maximum entropy (MaxEnt), and random forest (RF), were performed and evaluated their model performance using the mean value of area under the curve (AUC), true skill statistics (TSS), and Kappa scores of 12 ecosystem disturbing alien plant species (EDAPS). The mean evaluation metric scores were highest in RF (AUC = 0.924 ± 0.058, TSS = 0.789 ± 0.109, Kappa = 0.671 ± 0.096, n = 12) and lowest in ANN. The ANOVA of AUC, TSS, and Kappa metrics revealed the RF model was significantly different from other SDMs and was therefore selected as the relatively best model. The potential distribution area and invasion risk for each EDAPS were quantified. Under the current climate conditions of South Korea, the average potential distribution area of EDAPS was estimated to be 13,062 km2. However, in future climate change scenarios, the average percentage change of EDAPS distribution relative to the current climate was predicted to be increased over 219.93%. Furthermore, under the current climate, 0.16% of the area of the country was estimated to be under a very high risk of invasion, but this would increase to 60.43% by 2070. Invasion risk under the current climate conditions was highest in the northwestern, southern, and southeastern regions, and in densely populated cities, such as Seoul, Busan, and Daegu. By 2070, invasion risk was predicted to expand across the whole country except in the northeastern region. These results suggested that climate change induced the risk of EDAPS invasiveness, and SDMs could be valuable tools for alien and invasive plant species risk assessment.

Species distribution modeling is widely used for evaluating invasion risk, and for prioritizing areas for the control and management of invasive species. However, selecting a modeling tool that accurately predicts species invasion risk requires a systematic approach. In this study, five species distribution models (SDMs), namely, artificial neural network (ANN), generalized linear model (GLM), multivariate adaptive regression splines (MARS), maximum entropy (MaxEnt), and random forest (RF), were performed and evaluated their model performance using the mean value of area under the curve (AUC), true skill statistics (TSS), and Kappa scores of 12 ecosystem disturbing alien plant species (EDAPS). The mean evaluation metric scores were highest in RF (AUC = 0.924 ± 0.058, TSS = 0.789 ± 0.109, Kappa = 0.671 ± 0.096, n = 12) and lowest in ANN. The ANOVA of AUC, TSS, and Kappa metrics revealed the RF model was significantly different from other SDMs and was therefore selected as the relatively best model. The potential distribution area and invasion risk for each EDAPS were quantified. Under the current climate conditions of South Korea, the average potential distribution area of EDAPS was estimated to be 13,062 km2. However, in future climate change scenarios, the average percentage change of EDAPS distribution relative to the current climate was predicted to be increased over 219.93%. Furthermore, under the current climate, 0.16% of the area of the country was estimated to be under a very high risk of invasion, but this would increase to 60.43% by 2070. Invasion risk under the current climate conditions was highest in the northwestern, southern, and southeastern regions, and in densely populated cities, such as Seoul, Busan, and Daegu. By 2070, invasion risk was predicted to expand across the whole country except in the northeastern region. These results suggested that climate change induced the risk of EDAPS invasiveness, and SDMs could be valuable tools for alien and invasive plant species risk assessment.

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, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.

South Korea Climate Change: Tax Revenue: % of GDP: Pollution data was reported at 0.000 % in 2021. This stayed constant from the previous number of 0.000 % for 2020. South Korea Climate Change: Tax Revenue: % of GDP: Pollution data is updated yearly, averaging 0.000 % from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 0.000 % in 2021 and a record low of 0.000 % in 2021. South Korea Climate Change: Tax Revenue: % of GDP: Pollution 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.