• Title/Summary/Keyword: High-resolution climate data

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Perspective of East Asian Reanalysis Data Production (동아시아 지역재분석자료 생산의 전망)

  • Park, Sang-Jong;Choi, Yong-Sang
    • Atmosphere
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    • v.21 no.2
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    • pp.173-183
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    • 2011
  • Production of reanalysis data is important since it contributes to develop all fields of atmospheric sciences and to profit national economy. The developed countries such as USA, EU, and Japan have manufactured the global reanalysis data since the 1990s, but their data present a lack of detailed regional climates. For those who need to analyze the regional climate in/around Korea, a high-resolution reanalysis data should essentially be made. This study reviewed the existing reanalysis data and the applications, and the available observations for the data production. We also investigated the opinions and needs of the potential data users in Korea. We suggest the specifications of the data to have the domain of 55-5N, 80-150E (which includes Mongolia and most Southeast Asian countries), the spatial resolution of 10-20 km, and the period of most recent 30 years. With the specifications and climate models operated in KMA, this study argues that production of the reanalysis data with functional climate information is feasible in both technical and economic aspects. Finally, for successful data production, the framework of the future reanalysis data project was suggested.

Generation of Weather Data for Future Climate Change for South Korea using PRECIS (PRECIS를 이용한 우리나라 기후변화 기상자료의 생성)

  • Lee, Kwan-Ho
    • 한국태양에너지학회:학술대회논문집
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    • 2011.04a
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    • pp.54-58
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    • 2011
  • According to the Fourth Assessment Report of the Inter governmental Panel on Climate Change(IPCC), climate change is already in progress around the world, and it is necessary to start mitigation and adaptation strategies for buildings in order to minimize adverse impacts. It is likely that the South Korea will experience milder winters and hotter and more extreme summers. Those changes will impact on building performance, particularly with regard to cooling and ventilation, with implications for the quality of the indoor environment, energy consumption and carbon emissions. This study generate weather data for future climate change for use in impacts studies using PRECIS (Providing REgional Climate for Impacts Studies). These scenarios and RCM (Regional Climate Model) are provided high-resolution climate-change predictions for a region generally consistent with the continental-scale climate changes predicted in the GCM (Global Climate Model).

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A Simulation Study on Future Climate Change Considering Potential Forest Distribution Change in Landcover (잠재 산림분포 변화를 고려한 토지이용도가 장래 기후변화에 미치는 영향 모사)

  • Kim, Jea-Chul;Lee, Chong Bum;Choi, Sungho
    • Journal of Environmental Impact Assessment
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    • v.21 no.1
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    • pp.105-117
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    • 2012
  • Future climate according to land-use change was simulated by regional climate model. The goal of study was to predict the distribution of meteorological elements using the Weather Research & Forecasting Model (WRF). The KME (Korea Ministry of Environment) medium-category land-use classification was used as dominant vegetation types. Meteorological modeling requires higher and more sophisticated land-use and initialization data. The WRF model simulations with HyTAG land-use indicated certain change in potential vegetation distribution in the future (2086-2088). Compared to the past (1986-1988) distribution, coniferous forest area was decreased in metropolitan and areas with complex terrain. The research shows a possibility to simulate regional climate with high resolution. As a result, the future climate was predicted to $4.5^{\circ}$ which was $0.5^{\circ}$ higher than prediction by Meteorological Administration. To improve future prediction of regional area, regional climate model with HyTAG as well as high resolution initial values such as urban growth and CO2 flux simulation would be desirable.

Future Projection of Climatic Zone Shifts over Korean Peninsula under the RCP8.5 Scenario using High-definition Digital Agro-climate Maps (상세 전자기후지도를 이용한 미래 한반도 기후대 변화 전망)

  • Yun, Eun-jeong;Kim, Jin-Hee;Moon, Kyung Hwan
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.4
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    • pp.287-298
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    • 2020
  • It is predicted that future climate warming will occur, and the subtropical climate zone currently confined to the south coast of Korea will gradually rise north. The shift of climate zone implies a change in area for cultivating crops. This study aimed to evaluate the current and future status of climate zones based on the high-resolution climate data of South Korea to prepare adaptation measures for cultivating crops under changing agricultural climate conditions. First, the climatic maps of South and North Korea were produced by using the high-resolution monthly maximum and minimum daily temperature and monthly cumulative precipitation produced during the past 30 years (1981-2010) covering South and North Korea. Then the climate zones of the Korean Peninsula were classified based on the Köppen climate classification. Second, the changes in climate zones were predicted by using the corrected monthly climate data of the Korean Peninsula (grid resolution 30-270m) based on the RCP8.5 scenario of the Korea Meteorological Administration. Köppen climate classification was applied based on the RCP8.5 scenario, the temperature and precipitation of the Korean Peninsula would continue to increase and the climate would become simpler. It was predicted that the temperate climate, appearing in the southern region of Korea, would be gradually expanded and the most of the Korean Peninsula, excluding some areas of Hamgkyeong and Pyeongan provinces in North Korea, would be classified as a temperate climate zone between 2071 and 2100. The subarctic climate would retreat to the north and the Korean Peninsula would become warmer and wetter in general.

Production of High-Resolution Long-Term Regional Ocean Reanalysis Data and Diagnosis of Ocean Climate Change in the Northwest Pacific (북서태평양 장기 고해상도 지역해양 재분석 자료 생산 및 해양기후변화 진단)

  • Young Ho Kim
    • Journal of the Korean earth science society
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    • v.45 no.3
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    • pp.192-202
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    • 2024
  • Ocean reanalysis data are extensively used in ocean circulation and climate research by integrating observational data with numerical models. This approach overcomes the spatial and temporal limitations of observational data and provides high-resolution gridded information that considers the physical interactions between ocean variables. In this study, I extended the previously produced 12-year (2011-2022) Northwest Pacific regional ocean reanalysis data to create a long-term reanalysis dataset (K-ORA22E) with a horizontal resolution of 1/24° spanning 30 years (1993-2022). These data were analyzed to diagnose long-term ocean climate change in the Korean marginal seas. Analysis of the K-ORA22E data revealed that the axis of the Kuroshio extension has shifted northward by approximately 6 km per year over the past 30 years, with a significant increase in sea surface temperature north of the Kuroshio axis. Among the waters surrounding the Korean Peninsula, the East Sea exhibited the most significant temperature increase. In the East Sea, the temperature increase was more pronounced in the middle layer than in the surface layer, with the East Korea Warm Current showing a rate two to three times higher than the global average. In the central Yellow Sea, where the Yellow Sea Bottom Cold Water appears, temperatures increased over the long-term, but decreased along the west and south coasts of the Korean Peninsula. These spatial differences in long-term temperature changes appear to be closely related to the heat transport pathways of warm water from the Kuroshio Current. High-resolution regional ocean reanalysis data, such as the K-ORA22E produced in this study, are essential foundational data for understanding long-term variability in the Korean marginal seas and analyzing the impacts of climate change.

Climate Change Impact Analysis of Urban Inundation in Seoul Using High-Resolution Climate Change Scenario (고해상도 기후시나리오를 이용한 서울지역 배수시스템의 기후변화 영향 분석)

  • Lee, Moon-Hwan;Kim, Jae-Pyo;Bae, Deg-Hyo
    • Journal of Korea Water Resources Association
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    • v.48 no.5
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    • pp.345-355
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    • 2015
  • Climate change impact on urban drainage system are analyzed in Seoul by using high-resolution climate change scenario comparing 2000s (1971~2000) with 2020s (2011~2040), 2050s (2041~2070) and 2080s (2071~2100). The historical hourly observed rainfall data were collected from KMA and the climate change scenario-based hourly rainfall data were produced by RegCM3 and Sub-BATS scheme in this study. The spatial resolution obtained from dynamic downscaling was $5{\times}5km$. The comparison of probability rainfalls between 2000s and 2080s showed that the change rates are ranged on 28~54%. In particular, the increase rates of probability rainfall were significant on 3, 6 and 24-hour rain durations. XP-SWMM model was used for analyzing the climate change impacts on urban drainage system. As the result, due to the increase of rainfall intensities, the inundated areas as a function of number of flooded manhole and overflow amounts were increasing rapidly for the 3 future periods in the selected Gongneung 1, Seocho 2, Sinrim 4 drainage systems. It can be concluded that the current drainage systems on the selected study area are vulnerable to climate change and require some reasonable climate change adaptation strategies.

A High-Resolution Agro-Climatic Dataset for Assessment of Climate Change over South Korea (남한지역 기후변화량 평가를 위한 고해상도 농업기후 자료)

  • Hur, Jina;Park, Joo Hyeon;Shim, Kyo Moon;Kim, Yong Seok;Jo, Sera
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.3
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    • pp.128-134
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    • 2020
  • The daily gridded meteorological information and climatology with high resolution (30m and 270m) was produced from 94 Automated Surface Observing System (ASOS) of Korea Meteorological Administration (KMA) for the past 50 years (1971-current) by different downscaling methods. In addition, the difference between daily meteorological data and the mean state of past 30 years (1981-2010) was calculated for the analysis of climate change. These datasets with GeoTiff format are available from the web interface (https://agecoclim. agmet.kr). The performance of the data is evaluated using 172 Automatic Weather S tation (AWS ) of Rural Development of Administration (RDA). The data have biases lower than 2.0, and root mean square errors (RMSE) lower than 3.8. This data may help to better understand the regional climatic change and its impact on agroecosystem in S outh Korea.

Development and Use of Digital Climate Models in Northern Gyunggi Province - I. Derivation of DCMs from Historical Climate Data and Local Land Surface Features (경기북부지역 정밀 수치기후도 제작 및 활용 - I. 수치기후도 제작)

  • 김성기;박중수;이은섭;장정희;정유란;윤진일
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.6 no.1
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    • pp.49-60
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    • 2004
  • Northern Gyeonggi Province(NGP), consisting of 3 counties, is the northernmost region in South Korea adjacent to the de-militarized zone with North Korea. To supplement insufficient spatial coverage of official climate data and climate atlases based on those data, high-resolution digital climate models(DCM) were prepared to support weather- related activities of residents in NGP Monthly climate data from 51 synoptic stations across both North and South Korea were collected for 1981-2000. A digital elevation model(DEM) for this region with 30m cell spacing was used with the climate data for spatially interpolating daily maximum and minimum temperatures, solar irradiance, and precipitation based on relevant topoclimatological models. For daily minimum temperature, a spatial interpolation scheme accommodating the potential influences of cold air accumulation and the temperature inversion was used. For daily maximum temperature estimation, a spatial interpolation model loaded with the overheating index was used. Daily solar irradiances over sloping surfaces were estimated from nearby synoptic station data weighted by potential relative radiation, which is the hourly sum of relative solar intensity. Precipitation was assumed to increase with the difference between virtual terrain elevation and the DEM multiplied by an observed rate. Validations were carried out by installing an observation network specifically for making comparisons with the spatially estimated temperature pattern. Freezing risk in January was estimated for major fruit tree species based on the DCMs under the recurrence intervals of 10, 30, and 100 years, respectively. Frost risks at bud-burst and blossom of tree flowers were also estimated for the same resolution as the DCMs.

Projection of Paddy Rice Consumptive Use in the Major Plains of the Korean Peninsula under the RCP Scenarios (대표농도경로 시나리오에 의한 한반도 주요 평야지역 논벼 소비수량 추정)

  • Chung, Sang-Ok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.5
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    • pp.35-41
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    • 2012
  • The paddy rice consumptive use in the six plains of the Korean peninsula was projected with changing climate under the representative concentration pathway (RCP) scenarios. High resolution climate data for the baseline (1961-1990) was obtained from the International water management institute (IWMI) and future high resolution climate projection was obtained from the Korea Meteorological Administration. Reference evapotranspiration (ET) was calculated by using Hargreaves equation. The results of this study showed that the average annual mean temperature would increase persistently in the future. Temperatures were projected to increase more in RCP8.5 than those in RCP4.5 scenario. The rice consumptive use during the growing period was projected to increase slightly in the 2020s and then more significantly in the 2050s and 2080s. It showed higher values for RCP8.5 than for RCP4.5. The rice consumptive use after transplanting in the study areas would increase by 2.2 %, 5.1 % and 7.2 % for RCP4.5 and 3.0 %, 7.6 %, and 13.3 % for RCP8.5, in the 2020s, 2050s, and 2080s, respectively, from the baseline value of 534 mm. The results demonstrated the effects of climate change on rice consumptive use quite well, and can be used in the future agricultural water planning in the Korean peninsula.

Construction of Super-Resolution Convolutional Neural Network Model for Super-Resolution of Temperature Data (기온 데이터 초해상화를 위한 Super-Resolution Convolutional Neural Network 모델 구축)

  • Kim, Yong-Hoon;Im, Hyo-Hyuk;Ha, Ji-Hun;Park, Kun-Woo;Kim, Yong-Hyuk
    • Journal of the Korea Convergence Society
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    • v.11 no.8
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    • pp.7-13
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    • 2020
  • Meteorology and climate are closely related to human life. By using high-resolution weather data, services that are useful for real-life are available, and the need to produce high-resolution weather data is increasing. We propose a method for super-resolution temperature data using SRCNN. To evaluate the super-resolution temperature data, the temperature for a non-observation point is obtained by using the inverse distance weighting method, and the super-resolution temperature data using interpolation is compared with the super-resolution temperature data using SRCNN. We construct an SRCNN model suitable for super-resolution of temperature data and perform super-resolution of temperature data. As a result, the prediction performance of the super-resolution temperature data using SRCNN was about 10.8% higher than that using interpolation.