• Title/Summary/Keyword: WEATHER

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Estimation of Doppler Spectrum Modes in a Weather Radar for Detection of Hazardous Weather Conditions

  • Lee, Jong-Gil
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.3A
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    • pp.205-210
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    • 2002
  • In a Doppler weather radar, high resolution windspeed profile measurements are needed to provide the reliable detection of hazardous weather conditions. For this purpose, the pulse pair method is generally considered to be the most efficient estimator, However, this estimator has some bias errors due to asymmetric spectra and may yield meaningless results in the case of a multimodal return spectrum. Although the poly-pulse pair method can reduce the bias errors of skewed weather spectra, the modes of spectrum may provide more reliable information than the statistical mean for the case of a multimodal or seriously skewed spectrum. Therefore, the idea of relatively simple mode estimator for a weather radar is developed in this paper, Performance simulations show promising results in the detection of hazardous weather conditions.

ADAPTIVE NUMERICAL SOLUTIONS FOR THE BLACK-SCHOLES EQUATION

  • Park, H.W.;S.K. Chung
    • Journal of applied mathematics & informatics
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    • v.12 no.1_2
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    • pp.335-349
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    • 2003
  • Almost all business are affected by the weather so that weather derivatives has been traded to hedge weather risk. Since the weather itself is not an asset with a market price, some analysts believe that the Black-Scholes equation could not be used appropriately to price weather derivative options. But some weather derivatives can be considered as an Asian option, we revisit the Black-scholes model. Numerical solution of the Black-Scholes equation has a significant error at the money option or around the money option, it is necessary to adopt adaptive mesh near to the strike value. Here we propose a numerical method with an adaptive grid refinement.

Prototype for the Weather Monitoring System with Web - Based Data Management - Construction and Operation

  • Kim, Jinwoo;Kim, Jin-Young;Oh, Jai-Ho;Kim, Do-Yong
    • Atmosphere
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    • v.20 no.2
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    • pp.153-160
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    • 2010
  • In this paper, an attempt has been made to build and test self-configuring weather sensor networks and internet based observation system to gather atmospheric data. The aim is to provide integrated or real-time weather information in standard form using network data access protocol. This system was successfully developed to record weather information both digital as well as visual using sensor network and web-enabled surveillance cameras. These data were transformed by network based data access protocol to access and utilize for public domain. The competed system has been successfully utilized to monitor different types of weather. The results show that this is one of the most useful weather monitoring system.

Utilization of Spatial Weather Information System for Effective Air Operations

  • Kim, Young-Hae;Yoon, Soungwoong;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.4
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    • pp.139-145
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    • 2018
  • In this paper, we propose the methodology and system to show weather information to spatial system. When using the spatial information system, it is easy and convenient to show information such as target location, mission contents, enemy threats and so on. However, drawing 1-dimensional weather information on 3-dimensional space in spatial information system is hard task. To fuse data, we need to add a spatial layer including weather information to spatial layers and perform space modeling for showing weather information as spatial data in a virtual space. The virtual space is shown by receiving meteorological data and then changing in real time through weather database linkage.

Climograph using Standard Weather Data of the region of Seoul (서울지방의 표준기상데이타를 이용한 기후특성도 작성)

  • Cho, Min-Kwan
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.20 no.11
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    • pp.752-759
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    • 2008
  • This paper is to make up the climograph using standard weather data of the region of Seoul. It is made up by existed standard weather data of which the subjected region is Seoul in order to easily use work. The factors of weather data are outside air temperature and its absolute humidity, total solar radiation, amount of clouds, wind direction, and wind velocity. The standard weather data are verified by comparing with values of the existed degree day method. As the result of their verification, the difference of the data showed less than 3% each other. And, reliability of standard weather data is thought to be same as those of degree day.

Periods of Cold Weather Concrete Determined by Korean and Japanese Codes with Climate Data Obtained from Korea (우리나라 한중콘크리트 적용 기간의 KCI와 AIJ 규정에 따른 비교)

  • Lee, Myung-Ho;Zhao, Yang;Park, Jun-Hee;Han, Min-Cheol;Han, Cheon-Goo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.05a
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    • pp.326-328
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    • 2013
  • This study compares the periods of cold weather concrete determined by the codes regulated by KCI (Korean Concrete Institute) and AIJ (Architectural Institute of Japan). For the calculation of the periods of cold weather concrete, the climate data for last 5 years obtained from Korean weather forecast station is used. Calculated data indicated that the period of cold weather concrete by AIJ code is longer than that by KCI code. Although global warming causes the decrease of the period of winter season, the temperature differences are large in Korea. Therefore, it is required that the current KCI code should be accordingly upgraded to reflect the weather variation in Korea over time.

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Time-Profit Trade-Off of Construction Projects Under Extreme Weather Conditions

  • Senouci, Ahmed;Mubarak, Saleh
    • Journal of Construction Engineering and Project Management
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    • v.4 no.4
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    • pp.33-40
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    • 2014
  • Maximizing the profitability and minimizing the duration of construction projects in extreme weather regions is a challenging objective that is essential for project success. An optimization model is presented herein for the time-profit trade-off analysis of construction projects under extreme weather conditions. The model generates optimal/near optimal schedules that maximize profit and minimize the duration of construction projects in extreme weather regions. The computations in the model are organized into: (1) a scheduling module that develops practical schedules for construction projects, (2) a profit module that computes project costs (direct, indirect, and total) and project profit, and (3) a multi-objective module that determines optimal/near optimal trade-offs between project duration and profit. One example is used to show the impact of extreme weather on construction time and profit. Another example is used to show the model's ability to generate optimal trade-offs between the time and profit of construction projects under extreme weather conditions.

Analysis of Farm Management Stabilization Effects Using Weather Derivatives for Apple Farmers in Kyeongpuk District (날씨파생상품을 이용한 경북지역 사과농가 경영안정 효과 분석)

  • Yun, Sung-Wuk;Choi, Jang-Hoon;Chung, Won-Ho
    • Korean Journal of Organic Agriculture
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    • v.28 no.4
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    • pp.459-475
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    • 2020
  • This study analyzes weather derivatives as an alternative risk management tool to stabilize farm revenue to complement the existing crop insurance program which suffers from asymmetric information problems such as adverse selection, moral hazard, and verifiability. We estimated apple yield functions to observe the relationship between yields and weather indices such as temperature and precipitation. Based on the estimated yield functions we designed weather futures and options products underlying temperature and precipitation, and calculated the prices of futures and options by two different approaches, historical distribution and Monte Carlo simulation. We found that weather futures and options stabilize farm revenue based on the estimated four risk indicators: Coefficient of Variation, Value at Risk, Certainty Equivalence, and Risk Premium. As a result, weather derivatives could be considered as a potential farm risk management tool through studying more in legal and institutional strategies and developing various derivatives products.

ANALYSIS OF THE INFLUENCE OF WEATHER ON CONSTRUCTION PRODUCTIVITY RATE FOR SUPER-HIGHRISE BUILDING CONSTRUCTION FRAMEWORK

  • Jae-won Shin;Han-kook Ryu;Moon-seo Park;Hyun-soo Lee
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1124-1128
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    • 2005
  • The duration of a construction project is not only a key element for taking a new order, but also a strict yardstick to determine certain project successful or not. However, since construction project is basically outdoor job and most of the activities are proceeded out-air, no matter how the schedule plan has been established accurately, actual project proceeds due to the weather condition, beyond anyone's control. In this paper, the functional relationship between work productivity rate and weather elements is suggested by regression analysis. Difference of the relationship and influence of weather due to the seasonal group are also revealed. With these results, by simulating actual weather data and generating weather forecast through historical data, more accurate schedule would be obtained.

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The Contents and the Backgrounds on the First Daily Weather Charts in Korea (한국에서 처음 작성된 일기도의 내용과 변경)

  • Byun, Hi-Ryong
    • Atmosphere
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    • v.15 no.2
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    • pp.129-139
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    • 2005
  • The weather charts made at November 1, 1905 that were supposed to be the first daily weather chart in Korea were found and the contents of them were described and investigated. They were consisted of three sheets of paper. The first sheet consists of 2 kinds of weather charts. The second one does 6 kinds, and the third one is a table where 51 stations' records are in it. The diagnosing method and the historical background of the charts were explained. Although it is slim, the possibilities of the other earlier charts than these are explained also.