• 한국환경과학회지
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• 제32권8호
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• pp.543-553
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• 2023

Weather forecasts and advisories provided by the national organizations in Korea that are used to identify and prevent disaster associated damage are often ineffective in reducing disasters as they only focus on predicting weather events (World Meteorological Organization(WMO ), 2015). In particular, typhoons are not a single weather disaster, but a complex weather disaster that requires advance preparation and assessment, and the WMO has established guidelines for the impact forecasting and recommends typhoon impact forecasting. In this study, we introduced the Typhoon-Ready System, which is a system that produces pre-disaster prevention information(risk level) of typhoon-related disasters across Korea and in detail for each region in advance, to be used for reducing and preventingtyphoon-related damage in Korea.

• 대기
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• 제24권3호
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• pp.445-456
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• 2014

A real-time quality control system for meteorological data (air temperature, air pressure, relative humidity, wind speed, wind direction, and precipitation) measured by an integrated meteorological sensor has been developed based on comparison of quality control procedures for meteorological data that were developed by the World Meteorological Organization and the Korea Meteorological Administration (KMA), using time series and statistical analysis of a 12-year meteorological data set observed from 2000 to 2011 at the Incheon site in Korea. The quality control system includes missing value, physical limit, step, internal consistency, persistence, and climate range tests. Flags indicating good, doubtful, erroneous, not checked, or missing values were added to the raw data after the quality control procedure. The climate range test was applied to the monthly data for air temperature and pressure, and its threshold values were modified from ${\pm}2{\sigma}$ and ${\pm}3{\sigma}$ to ${\pm}3{\sigma}$ and ${\pm}6{\sigma}$, respectively, in order to consider extreme phenomena such as heat waves and typhoons. In addition, the threshold values of the step test for air temperature, air pressure, relative humidity, and wind speed were modified to $0.7^{\circ}C$, 0.4 hPa, 5.9%, and $4.6m\;s^{-1}$, respectively, through standard deviation analysis of step difference according to their averaging period. The modified quality control system was applied to the meteorological data observed by the Weather Information Service Engine in March 2014 and exhibited improved performance compared to the KMA procedures.

• 콘크리트학회논문집
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• 제17권2호
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• pp.237-245
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• 2005

본 연구에서는 우리나라 기상청의 기온자료를 이용하여 시간변화에 따른 각 지역의 한중콘크리트 적용기간을 KCI, ACI 및 AIJ 방법에 따라 산정한 후 동방법의 기존연구결과와 비교 분석함으로써 시간변화에 따른 한중콘크리트 적용기간의 변화를 분석하고자 하였다. 연구결과에 따르면, KCI에 의한 적용기간은 평균 9.5순으로 나타났고, ACI에 의한 적용기간은 10.1순 그리고 AIJ에 의한 적용기간은 9.2순으로 산정되었다. 시간변화에 따른 적용기간으로서 KCI 및 ACI 규정에 의한 본연구의 적용기간은 10년전의 종전 연구보다 약 5${\~}$6일 정도 짧아진 것으로 확인되었으나, AIJ 규정에 의한 적용기간은 종전의 연구와 거의 차이가 없었고, 단, 김의 연구와 비교할 경우 약 3일 정도 짧아지는 것으로 나타났다. 한편, 지역별로는 남부지방의 경우 종전연구에 비하여 한중콘크리트 적용기간이 비교적 많이 단축되었는데,. 이는 지구의 온난화에 의한 평균기온의 상승으로 인한 것으로 사료된다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2009년도 공동학술대회
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• pp.449-451
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• 2009

지구온난화에 따른 해수면 상승과 태풍 강도의 증가는 연안역에 밀집한 주거 및 산업공간을 위협하는 요소로 최근 그 연구가 활발하게 진행되어 오고 있다. 본 연구에서는 안전한 해상교통 및 폭풍해일과 파랑예측을 위해서 반드시 필요한 해상풍에 대한 연구이다. 해상풍은 연안역에서의 자연재해를 유발하는 여러 요소 중에서 중요한 연구과제이나, 현재 가상수치모델에 의한 해상풍 및 해면기압은 시 공간적으로 불충분하다. 따라서, 중규모 기상 모형인 Weather Research and Forecasting(WRF)을 사용하여 우리나라 주변해역을 모두 포함하며, 약 9km 격자로 매일 두 번씩 72시간을 예보하는 해상풍을 산출하는 시스템을 구축하였다. 이어도 해양과학기지와 황해중부부이에서 실측한 해상풍과 검증한 결과 상당히 유의할 만한 결과를 얻었으며, 자료동화을 이용하여 향후에는 보다 정확한 해상풍을 산출할 계획이다.

• 전기학회논문지
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• 제66권5호
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• pp.857-862
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• 2017

The management of the electric power facilities became important in accordance with the industrial development and electric power facilities were influenced by weather. Even if the same kind of electric power facilities is estimated for extracting the time-varying failure rate, the failure rate could be different depending on external effect such as climate. This research will show the data mining modeling of the weather-related outage and influence of weather on the electric power facility with recent data.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2015년도 하계 학술발표논문집
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• pp.131-134
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• 2015

• 환경영향평가
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• 제20권5호
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• pp.601-613
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• 2011

This study is focused on a climate data integrity to improve water quality assessment due to the social development projects. The study is in an attempt to calculate both extreme ranges of weather data measurements and partly provide means to assess qualification of data which fall within the extremes at the 23 meteorological weather stations. Generally speaking, maximum temperature, minimum temperature, relative humidity, dew point temperature are in the range of reasonable accuracy. However, there found some outliers of the brightness sunshine hours in Cheonan station. Also some years in Gwangju, Seoul, Wonju, Busan, and Jeju never reach to their upper limit and perhaps the calibration of the equipment is doubtful. The users need to take cautions in using the brightness sunshine hour data in preparation of water resources planning and management by estimating evapotranspiration and river discharge, and/or growth rate of the algae (phytoplankton).

• Water Engineering Research
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• 제4권3호
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• pp.111-126
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• 2003

Meteorological data are often needed to evaluate the long-term effects of proposed hydrologic changes. The evaluation is frequently undertaken using deterministic mathematical models that require daily weather data as input including precipitation amount, maximum and minimum temperature, relative humidity, solar radiation and wind speed. Stochastic generation of the required weather data offers alternative to the use of observed weather records. The precipitation is modeled by a Markov Chain-exponential model. The other variables are generated by multivariate model with means and standard deviations of the variables conditioned on the wet or dry status of the day as determined by the precipitation model. Ultimately, the objective of this paper is to compare Richardson's model and the improved weather generation model in their ability to provide daily weather data for the crop model to study potential impacts of climate change on the irrigation needs and crop yield. However this paper does not refer to the improved weather generation model and the crop model. The new weather generation model improved will be introduced in the Journal of KWRA.

• 한국농공학회논문집
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• 제54권1호
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• pp.47-54
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• 2012

Agriculture is dependable to weather condition and its change so that it is necessary to understand the impacts of climatic change. The aim of this study is to analyze the change of consumptive use of water and rice yield due to climate change using CERES-Rice. In this study, the weather data of three emission scenario of A1B, A2 and B1 created from CGCM (Coupled General Circulation Model) were used from 2011 to 2100, and downscaled daily weather data were simulated using LARS-WG (Long Ashton Research Station Weather Generator). The input data for cultivated condition for simulating CERSE (Crop-Environment Resource Synthesis)-Rice were created referring to standard cultivation method of paddy rice in Korea. The results showed that consumptive uses of water for paddy rice were projected decreasing to 4.8 % (2025s), 9.1 % (2055s), 12.6 % (2085s) comparing to the baseline value of 403.5 mm in A2 scenario. The rice yield of baseline was 450.7 kg/10a and projected increasing to -0.4 % (2025s), 3.9 % (2055s), 17.5 % (2085s) in A1B scenario. The results demonstrated relationships between consumptive use of water and rice yields due to climate change and can be used for the agricultural water resources development planning and cultivation method of paddy rice for the future.

• Current Research on Agriculture and Life Sciences
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• 제30권2호
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• pp.97-104
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• 2012

Over the last century, drainage systems have become an integral component of agriculture. Climate observations and experiments using General circulation models suggest an intensification of the hydrologic cycle due to climate change. This study presents hydrologic simulations assessing the potential impact of climate change on subsurface drainage in Daegu, Republic of Korea. Historical and Long Ashton Research Station weather generator perturbed future climate data from 15 general circulation models for a field in Daegu were ran into a water management simulation model, DRAINMOD. The trends and variability in rainfall and Soil Excess Water ($SEW_{30}$) were assessed from 1960 to 2100. Rainfall amount and intensity were predicted to increase in the future. The predicted annual subsurface drainage flow varied from -35 to 40 % of the baseline value while the $SEW_{30}$ varied from -50 to 100%. The expected increases in subsurface drainage outflow require that more attention be given to soil and water conservation practices.