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 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.

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 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.

South Korea Official Development Assistance: % of Total ODA: Climate Change Adaptation data was reported at 40.580 % in 2022. This records an increase from the previous number of 37.580 % for 2021. South Korea Official Development Assistance: % of Total ODA: Climate Change Adaptation data is updated yearly, averaging 10.850 % from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 40.580 % in 2022 and a record low of 2.140 % in 2011. South Korea Official Development Assistance: % of Total ODA: Climate Change Adaptation 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.GGI: Environmental: Environmental Policy, Taxes and Transfers: 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.

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.

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.

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.

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.

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.

For extreme temperature, we used climate extreme indices provided by CLIVAR (Climate and Ocean-Variability, Predictability, and Change) ETCCDI (Expert Team on Climate Change Detection and Indices). ETCCDI has provided 27 climate extreme indices not only with global reanalysis datasets but with CMIP5 simulations. The indices data are available on-line and the results with CMIP5 simulations were summarized by Sillmann et al. [2013]. For our analysis, we downloaded a monthly minimum of daily minimum surface air temperature (TNn) and a monthly maximum of daily maximum temperature (TXx). Among the CMIP5, 27 model results available on their website, we used 23 model results containing both of the TNn and TXx for all of the historical, RCP 4.5 and 8.5 experiments.

Since our focus is on boreal-winter extreme temperature, we selected the lowest TNn and highest TXx among the three months of December-January-February every year from 1861 to 2005 for the historical simulation and from 2006 to 2099 for the RCP 4.5 and RCP 8.5 scenario. Before the spatial averaging over the analysis domain (34°N-43°N in latitude and 124°E-131°E in longitude including the Korean Peninsula), we had remapped all of the simulation data onto a 1.5° x 1.5° horizontal resolution.

The time of unprecedented climate (TUC) for extreme temperature is defined in this study as the beginning year when the extreme temperature projected for the future climate scenarios exceed a critical value in all subsequent years during the RCP scenario runs.

In this study, the critical value for extreme temperatures is specified as a 50-year return level which is rather arbitrary but refers to a rough estimate for the social lifetime of a man. One may find the return level empirically from historical data, but this study estimates it using a Generalized Extreme Value distribution function as suggested by Kharin et al. [2007]. Based on the CMIP5 historical simulation data using R, we obtained three parameters determining a GEV distribution for each model, respectively for TNn and TXx. The GEV distribution for each model and variable has been verified using a Q-Q (quantile-quantile) plot if it adequately describes the CMIP5 historical data. All of the models showed the Q-Q plot within the 95% confidence range (Figure 1a for GFDL-ESM2G TXx for an instance). Then, we estimated the return level from the distribution and TUC from the RCP scenario runs for the wintertime TNn and TXx averaged over Korea.

South Korea Climate Change: Tax Revenue: % of GDP: Resources 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: Resources 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: Resources 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 **** 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.

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.

South Korea Maximum 5-day Rainfall: 25-year Return Level data was reported at 28.507 mm in 2050. South Korea Maximum 5-day Rainfall: 25-year Return Level data is updated yearly, averaging 28.507 mm from Dec 2050 (Median) to 2050, with 1 observations. The data reached an all-time high of 28.507 mm in 2050 and a record low of 28.507 mm in 2050. South Korea Maximum 5-day Rainfall: 25-year Return Level data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Environmental: Climate Risk. A 25-year return level of the 5-day cumulative precipitation is the maximum precipitation sum over any 5-day period that can be expected once in an average 25-year period.;World Bank, Climate Change Knowledge Portal (https://climateknowledgeportal.worldbank.org);;

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.

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.

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.

South Korea Climate Change: Tax Revenue: % of GDP: Energy data was reported at 1.604 % in 2014. This records a decrease from the previous number of 1.626 % for 2013. South Korea Climate Change: Tax Revenue: % of GDP: Energy data is updated yearly, averaging 1.715 % from Dec 1994 (Median) to 2014, with 21 observations. The data reached an all-time high of 2.025 % in 2001 and a record low of 0.729 % in 1994. South Korea Climate Change: Tax Revenue: % of GDP: 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.