• Title/Summary/Keyword: Korean Meteorological Society

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A Study on the Characteristics of Perceived Temperature over the Korean Peninsula During 2007 Summer (한반도 2007년 여름철 인지온도 특성 연구)

  • Byon, Jae-Young;Kim, Jeong-Sik;Kim, Ji-Young;Choi, Byoung-Cheol;Choi, Young-Jean;Graetz, Angelika
    • Atmosphere
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    • v.18 no.2
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    • pp.137-146
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    • 2008
  • This study examines one thermal index, perceived temperature (PT), over the Korean Peninsula during 2007 summer. Heat/cold stress has been described using air temperature and humidity for warm seasons and air temperature and wind velocity in the cold conditions, while PT is based on a heat budget model of the human body that considers air temperature, humidity, wind velocity and radiation effect regardless of climates, regions and seasons. PT is higher about $4-5^{\circ}C$ than air temperature in the summer. Humidity increases PT, while wind tends to reduces PT possibly by evaporation of water vapor. The geographical distribution of summer PT indicates that the lowest PT happened in the east central region, with the appearance of the highest PT in the inland of southern region in Korea. Although the latitudinal trend shows that PT decreases northward, inland PT is higher than that of coastal region. Compared to the heat index or the discomfort index that considers air temperature and humidity, PT represents distinctive regional characteristics of thermal comfort. The distribution of PT shows that it may be a useful thermal index for the assessment of thermal comfort or stress region in the Korean Peninsula.

Estimation of Available Days for a Cloud Seeding Experiment in Korea (한반도 목적별 인공강우 실험가능일 추정)

  • Jung, Woonseon;Chang, Ki-Ho;Cha, Joo Wan;Ku, Jung Mo;Lee, Chulkyu
    • Journal of Environmental Science International
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    • v.31 no.2
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    • pp.117-129
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    • 2022
  • In this study, we investigated the characteristics of the meteorological and environmental conditions for a cloud seeding experiment over the Korean peninsula and estimated the available days for the same. The conditions of available days appropriate for a cloud seeding experiment were classified according to four purposes: water resources, drought relief, forest fire prevention, and air quality improvement. The average number of available days for a cloud seeding experiment were 91.27 (water resources), 45.93-51.11 (drought relief), 40.28-46.00 (forest fire prevention), and 42.19-44.60 days/year (air quality improvement). If six experiments were carried out per available day for a cloud seeding experiment, the number of times cloud seeding experiments could be conducted per year in a continuously operating system were estimated as 547.62 (water resources), 275.58-306.66 (drought relief), 241.68-276.00 (forest fire prevention), and 253.14-267.60 times/year (air quality improvement). From this result, it was possible to determine the appropriate meteorological and environmental conditions and statistically estimate the available days for a cloud seeding experiment. The data on the available days for a cloud seeding experiment might be useful for preparing and performing such an experiment.

Implementation of Satellite Imagery Information System for Korean Meteorological Administration

  • Chang, Eun-Mi;Park, Jong-Suh;Suh, Ae-Sook
    • Korean Journal of Remote Sensing
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    • v.23 no.3
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    • pp.229-236
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    • 2007
  • Scattered satellite images were collected and converted from TDF to HDF as a standard format. We reviewed all the metadata on the images domestic and abroad and set up the metadata for the meteorological satellite images and naming rules in KMA. The satellite information search system that meteorological satellite images were in service with metadata for public and academic fields was implemented for quick search and download. This system will facilitate satellite images for various academic purposes beyond KMA and management functions of the system make routine workflow to manage satellite images in an ease and standardized way.

Effects of Observation Network Density Change on Spatial Distribution of Meteorological Variables: Three-Dimensional Meteorological Observation Project in the Yeongdong Region in 2019 (관측망 밀도 변화가 기상변수의 공간분포에 미치는 영향: 2019 강원영동 입체적 공동관측 캠페인)

  • Kim, Hae-Min;Jeong, Jong-Hyeok;Kim, Hyunuk;Park, Chang-Geun;Kim, Baek-Jo;Kim, Seung-Bum
    • Atmosphere
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    • v.30 no.2
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    • pp.169-181
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    • 2020
  • We conducted a study on the impact of observation station density; this was done in order to enable the accurate estimation of spatial meteorological variables. The purpose of this study is to help operate an efficient observation network by examining distributions of temperature, relative humidity, and wind speed in a test area of a three-dimensional meteorological observation project in the Yeongdong region in 2019. For our analysis, we grouped the observation stations as follows: 41 stations (for Step 4), 34 stations (for Step 3), 17 stations (for Step 2), and 10 stations (for Step 1). Grid values were interpolated using the kriging method. We compared the spatial accuracy of the estimated meteorological grid by using station density. The effect of increased observation network density varied and was dependent on meteorological variables and weather conditions. The temperature is sufficient for the current weather observation network (featuring an average distance about 9.30 km between stations), and the relative humidity is sufficient when the average distance between stations is about 5.04 km. However, it is recommended that all observation networks, with an average distance of approximately 4.59 km between stations, be utilized for monitoring wind speed. In addition, this also enables the operation of an effective observation network through the classification of outliers.

Verification and Comparison of Forecast Skill between Global Seasonal Forecasting System Version 5 and Unified Model during 2014 (2014년 계절예측시스템과 중기예측모델의 예측성능 비교 및 검증)

  • Lee, Sang-Min;Kang, Hyun-Suk;Kim, Yeon-Hee;Byun, Young-Hwa;Cho, ChunHo
    • Atmosphere
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    • v.26 no.1
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    • pp.59-72
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    • 2016
  • The comparison of prediction errors in geopotential height, temperature, and precipitation forecasts is made quantitatively to evaluate medium-range forecast skills between Global Seasonal Forecasting System version 5 (GloSea5) and Unified Model (UM) in operation by Korea Meteorological Administration during 2014. In addition, the performances in prediction of sea surface temperature anomaly in NINO3.4 region, Madden and Julian Oscillation (MJO) index, and tropical storms in western north Pacific are evaluated. The result of evaluations appears that the forecast skill of UM with lower values of root-mean square error is generally superior to GloSea5 during forecast periods (0 to 12 days). The forecast error tends to increase rapidly in GloSea5 during the first half of the forecast period, and then it shows down so that the skill difference between UM and GloSea5 becomes negligible as the forecast time increases. Precipitation forecast of GloSea5 is not as bad as expected and the skill is comparable to that of UM during 10-day forecasts. Especially, in predictions of sea surface temperature in NINO3.4 region, MJO index, and tropical storms in western Pacific, GloSea5 shows similar or better performance than UM. Throughout comparison of forecast skills for main meteorological elements and weather extremes during medium-range, the effects of initial and model errors in atmosphere-ocean coupled model are verified and it is suggested that GloSea5 is useful system for not only seasonal forecasts but also short- and medium-range forecasts.

Development of wind Map Over North Korea using the Mesoscale Model WRF (중규모 수치모델 WRF를 이용한 북한 풍력-기상자원지도 개발)

  • Seo, Beom-Keun;Byon, Jae-Young;Choi, Young-Jean
    • Atmosphere
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    • v.21 no.4
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    • pp.471-480
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    • 2011
  • This study investigates the characteristics of surface wind in North Korea using mesoscale model WRF. Hourly wind fields were simulated for one year representing mean characteristics of an 11-years period from 1998 to 2008. The simulations were performed on a nested grid from 27 km to 1 km horizontal resolution. The simulated wind map at 10 m above ground level is verified with 27 surface observations. Statistical verification skill score indicates that wind speed tends to overestimate in surface layer. The average RMSE value of the simulated wind speed is around $2.8ms^{-1}$. Wind map in North Korea showed that strong wind speed is distributed in the mountainous and western coastal region. The results of this wind mapping study contribute for the founding of wind energy potential location.

Restoration of 18 Years Rainfall Measured by Chugugi in Gongju, Korea during the 19th Century (19세기 공주감영 측우기 강우량 18년 복원)

  • Boo, Kyung-On;Kwon, Won-Tae;Kim, Sang-Won;Lee, Hyon-Jung
    • Atmosphere
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    • v.16 no.4
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    • pp.343-350
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    • 2006
  • The rainfall amount measured by Chugugi at Gongju was found in "Gaksadeungnok". Gaksadeungnok is ancient documents from governmental offices in Joseon dynasty. Rainfall data at Gongju are restored for 18 years of 19th century. In 1871, total rainfall amount is 1,338 mm. It is different by about 11% in the amount compared with Seoul Chugugi rainfall in 1871 and Daejeon modern raingauge measurement result during the 30 years (1971-2000). Annual march of monthly rainfall data at Gongju is similar with that of Seoul. Based on the results, restored rainfall at Gongju is consistent with Seoul Chugugi rainfall data. The rainfall amount restored in this study is measured by Chugugi which was installed at Gongju, in Chung-Cheong province. Furthermore, Gaksadeungnok includes rainfall amount reports by agricultural tool measurement in addition to Chugugi measurement. These facts prove a network of rain gauge in Joseon dynasty.

Introduction to the Validation Module Design for CMDPS Baseline Products

  • Kim, Shin-Young;Chung, Chu-Yong;Ou, Mi-Lim
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.146-148
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    • 2007
  • CMDPS (COMS Meteorological Data Processing System) is the operational meteorological products extraction system for data observed from COMS (Communication, Ocean and Meteorological Satellite) meteorological imager. CMDPS baseline products consist of 16 parameters including cloud information, water vapor products, surface information, environmental products and atmospheric motion vector. Additionally, CMDPS includes the function of calibration monitoring, and validation mechanism of the baseline products. The main objective of CMDPS validation module development is near-real time monitoring for the accuracy and reliability of the whole CMDPS products. Also, its long time validation statistics are used for upgrade of CMDPS such as algorithm parameter tuning and retrieval algorithm modification. This paper introduces the preliminary design on CMDPS validation module.

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