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公开(公告)号：KR1020090035066A
公开(公告)日：2009-04-09
申请号：KR1020070100116
申请日：2007-10-05
Applicant: 부산대학교 산학협력단
CPC classification number: G01W1/08 , G01J3/108 , G01J2003/425 , G01W1/02
Abstract: A fog forecasting system using weather satellite and a fog forecasting method thereof are provided to distinguish fog and low-level clouds by calculating Laplacian about luminance temperature distribution of the determined observation region, thereby increasing the accuracy of fog detection. A fog forecasting system using weather satellite comprises a stationary orbit meteorological satellite detecting he intensity of the near infrared ray and infrared ray radiated from the observation region, which is equipped with an observation sensor for the near infrared ray channel and an observation sensor for the infrared channel; a remote-sensing satellite detecting the sea-surface wind speed of the observation region by employing a sea-surface wind detecting sensor; a receiver of satellite signal received with the detected information from the stationary orbit meteorological satellite and remote-sensing satellite; and an analysis equipment presuming the fog generation region, which is equipped with an operator programmed with analysis algorithm and a memory stored with Laplacian boundary value/sea-surface wind speed of boundary value about luminance temperature difference boundary value/luminance temperature distribution.
Abstract translation: 提供一种使用气象卫星的雾预报系统及其雾预报方法，通过对确定的观测区域的亮度温度分布计算拉普拉斯算子来区分雾和低云，从而提高雾度检测的准确性。 使用气象卫星的雾预报系统包括一个固定轨道气象卫星，检测其近距离红外线的强度和从观察区域辐射的红外线，该卫星装备有用于近红外线通道的观测传感器和用于红外线的观测传感器 渠道; 遥感卫星通过采用海面风检测传感器检测观测区域的海面风速; 卫星信号接收机与来自固定轨道气象卫星和遥感卫星的检测信息一起接收; 以及分析设备，假设雾化区域配备有用分析算法编程的操作者和存储有拉普拉斯边界值/边界值的海面风速关于亮度温差边界值/亮度温度分布的存储器。
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公开(公告)号：KR101015249B1
公开(公告)日：2011-02-18
申请号：KR1020080114579
申请日：2008-11-18
Applicant: 부산대학교 산학협력단
Abstract: 본 발명은 장마를 기상현상으로 가지는 정해진 대상지역에 대하여 장마기간의 누적 강수량 크기에 따른 장마강도를 장마가 시작되기 전에 예측하기 위한 방법을 제공한다. 본 발명에 따른 장마강도 예측방법은 장마강도와 연관된 연관구역에 대한 연관데이터를 통계적인 방법을 사용하여 처리하여 장마강도에 대한 예측 정확도를 향상시킨 것이다.
본 발명에 따른 장마강도 예측방법은 대상지역의 장마강도와 연관된 연관구역과 연관데이터를 설정하는 단계와, 연관구역을 포함하는 정해진 지역에 대한 상기 연관데이터를 일단위로 산출하되 정해진 연(年)단위 비교대상기간의 각 연도별(年度別)로 정해진 일(日)단위 장마기간 전체 및 정해진 금년(今年) 일단위 관측기간 전체를 포함하는 기간에 대한 연관데이터를 일단위로 산출하여 데이터베이스화하는 단계와, 연관구역에 해당되는 연관데이터를 정해진 장마강도예측 알고리즘에 따라 처리하여 금년의 장마강도를 예측하는 단계를 포함한다. 여기서, 연관데이터는 500hPa에 해당되는 지위(Geo-Potential) 고도가 등고선 형태로 나타나는 500hPa 지위장 데이터, 850hPa에 해당되는 지위 고도에서의 바람속도 X축성분 크기가 등고선 형태로 나타나는 850hPa 바람장 U성분 데이터, 850hPa에 해당되는 지위 고도에서의 바람속도 Y축성분 크기가 등고선 형태로 나타나는 850hPa 바람장 V성분 데이터, 200hPa에 해당되는 지위 고도에서의 바람속도 X축성분 크기가 등고선 형태로 나타나는 200hPa 바람장 U성분 데이터, 200hPa에 해당되는 지위 고도에서의 바람속 도 Y축성분 크기가 등고선 형태로 나타나는 200hPa 바람장 V성분 데이터를 포함한다. 그리고, 장마강도예측 알고리즘은 연관구역에 대한 연관데이터의 일단위 평균값을 정해진 일단위 금년 관측기간 전체 및 정해진 연단위 비교대상기간의 각 연도별로 정해진 일단위 장마기간 전체에 대하여 산출한 후 다시 연관데이터의 연단위 평균값을 산출하여 생성되는 연관데이터의 연단위 평균값 모집단을 평균과 표준편차를 가지고 정규화시키되, 정해진 일단위 금년 관측기간 전체에 대한 연단위 평균값과 연관데이터의 연단위 평균값 모집단 평균 간의 차를 연관데이터의 연단위 평균값 모집단의 표준편차로 나누어 산출되는 평균값 지수가 정해진 최소값보다 낮을 시는 약한 장마해로 판별하고, 정해진 최대값보다 높을 시는 강한 장마해로 판별하는 것이다.
장마, 지위고도, 제트풍, 해면기압, 정규화-
公开(公告)号：KR100934700B1
公开(公告)日：2009-12-31
申请号：KR1020080001115
申请日：2008-01-04
Applicant: 부산대학교 산학협력단
Abstract: A method for detecting fog by using the meteorological satellite by the standard deviation criterion, and its system are provided to allow fog to be detect precisely both in the daytime and at night. A method for detecting fog by using the meteorological satellite by the standard deviation criterion comprises the steps of detecting the intensity and distribution profile of the near infrared ray and infrared ray radiated from the whole observation region from the meteorological satellite equipped with a sensor for near infrared ray channel and a sensor for infrared ray channel; receiving the intensity and distribution profile of near infrared ray and infrared ray radiated from the whole observation region from the meteorological satellite by using the receiver of satellite signal; and calculating the standard deviation about the infrared ray brightness temperature distribution of the determined observation region from the received information, and comparing it with the standard deviation boundary value about the infrared ray brightness temperature distribution of the preset fog generation region, thereby determining the region showing the standard deviation lower than the standard deviation boundary value to be the fog generation region.
Abstract translation: 根据标准偏差标准使用气象卫星检测雾的方法及其系统，可以在白天和晚上精确检测雾。 利用标准偏差标准使用气象卫星检测雾的方法包括以下步骤：检测从配备有近红外传感器的气象卫星的整个观测区域辐射的近红外线和红外线的强度和分布轮廓 红外线通道和红外线通道传感器; 利用卫星信号接收器接收气象卫星从整个观测区域辐射的近红外线和红外线的强度和分布特征; 从接收到的信息中计算出所确定的观测区域的红外线亮度温度分布的标准偏差，并将其与预先设定的雾化区域的红外线亮度温度分布的标准偏差边界值进行比较， 标准偏差低于标准偏差边界值作为雾产生区域。
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公开(公告)号：KR1020100055722A
公开(公告)日：2010-05-27
申请号：KR1020080114579
申请日：2008-11-18
Applicant: 부산대학교 산학협력단
Abstract: PURPOSE: A rain degree expectation method for expecting rain before the start of monsoon season is provided to improve the expectation accuracy about the rainy spell in summer intensity by statistically processing related data about a season. CONSTITUTION: A section and associated data related to the rain is instituted. The associated data calculating to the daily basis is stored in the database. The associated data equivalent under the linkage section is processed and the rainy spell in summer intensity of the current year is anticipated according to the determined monsoon intensity predicting algorithm.
Abstract translation: 目的：提出在季风季节开始之前预测雨量的雨量预期方法，通过统计处理有关季节的相关数据，提高夏季强度下雨的预期精度。 规定：建立与雨有关的部分和相关数据。 每天计算的相关数据存储在数据库中。 根据确定的季风强度预测算法，处理联动部分下的相关数据，预测当年夏季强度下降的雨量。
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公开(公告)号：KR1020090075301A
公开(公告)日：2009-07-08
申请号：KR1020080001115
申请日：2008-01-04
Applicant: 부산대학교 산학협력단
Abstract: A method for detecting fog by using the meteorological satellite by the standard deviation criterion, and its system are provided to allow fog to be detect precisely both in the daytime and at night. A method for detecting fog by using the meteorological satellite by the standard deviation criterion comprises the steps of detecting the intensity and distribution profile of the near infrared ray and infrared ray radiated from the whole observation region from the meteorological satellite equipped with a sensor for near infrared ray channel and a sensor for infrared ray channel; receiving the intensity and distribution profile of near infrared ray and infrared ray radiated from the whole observation region from the meteorological satellite by using the receiver of satellite signal; and calculating the standard deviation about the infrared ray brightness temperature distribution of the determined observation region from the received information, and comparing it with the standard deviation boundary value about the infrared ray brightness temperature distribution of the preset fog generation region, thereby determining the region showing the standard deviation lower than the standard deviation boundary value to be the fog generation region.
Abstract translation: 一种通过标准偏差判据使用气象卫星进行雾化的方法，提供了系统，可以在白天和晚上精确检测雾。 通过标准偏差判据利用气象卫星检测雾的方法包括：从配备有近红外传感器的气象卫星检测近红外线的强度和分布特征以及从整个观测区辐射的红外线的步骤 射线通道和红外线通道传感器; 通过卫星信号接收机接收来自气象卫星的整个观测区域辐射的近红外线和红外线的强度和分布特征; 并根据接收到的信息计算所确定的观测区域的红外线亮度温度分布的标准偏差，并将其与关于预设雾发生区域的红外线亮度温度分布的标准偏差边界值进行比较，从而确定显示 标准偏差低于标准偏差边界值为雾产生区域。
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Patent Agency Ranking
公开(公告)号：KR101372499B1
公开(公告)日：2014-03-13
申请号：KR1020120046299
申请日：2012-05-02
Applicant: 부산대학교 산학협력단
IPC: G01W1/00
CPC classification number: Y02A90/14
Abstract: 본 발명은 아시아 몬순 지역의 여름철 계절안 진동 지수 정의 시스템 및 방법에 관한 것으로, 산출 대상 지역의 정해진 기간 동안의 일평균 OLR(outgoing longwave radiation) 및 850hPa 동서 바람 데이터를 추출하는 기준 데이터 추출부;상기 일평균 OLR 및 850hPa 동서 바람 데이터에서 경년 변동과 연주기 효과를 제거하기 위한 경년 변동 및 연주기 효과 제거부;상기 OLR 및 850hPa 동서 바람 데이터를 아시아 몬순 지역 평균된 표준편차로 정규화하는 데이터 정규화부;여름철 계절안 진동 지수를 산출하기 위하여 OLR 및 850hPa 동서 바람 데이터를 다변량 경험적 직교 함수에 적용시키는 MV-EOF 적용부;상기 다변량 경험적 직교 함수 적용에 의해 얻은 첫 번째, 두 번째 모드의 주성분 시계열을 제 1 여름철 계절안 진동 지수(BSISO1)로 정의하고, 세 번째, 네 번째 모드의 주성분 � ��계열을 제 2 여름철 계절안 진동 지수(BSISO2)로 정의하는 제 1,2 여름철 계절안 진동 지수 산출부;를 포함한다.
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公开(公告)号：KR1020130123125A
公开(公告)日：2013-11-12
申请号：KR1020120046299
申请日：2012-05-02
Applicant: 부산대학교 산학협력단
IPC: G01W1/00
Abstract: The present invention relates to a system and a method for defining the boreal summer intraseasonal oscillation in the Asian monsoon region, which comprise a reference data extracting unit which extracts daily average outgoing longwave radiation (OLR) and 850 hPa east and west wind data over a predetermined period in an area for calculation; an interannualvariability and seasonal periodieity effect removing unit which is to remove an interannualvariability and seasonal periodieity effect from the daily average OLR and 850 hPa east and west wind data; a data normalizing unit which normalizes the OLR and 850 hPa east and west wind data as an average standard deviation for the Asian monsoon region; an MV-EOF applying unit which applies the OLR and 850 hPa east and west wind data to a multivariate experiential orthogonal function in order to calculate the boreal summer intraseasonal oscillation (BSISO); and a first and second boreal summer intraseasonal oscillation (BSISO) calculating unit which defines a main component time series in a first and a second mode, acquired by applying to the multivariate experiential orthogonal function, as BSISO1 while defining a main component time series in a third and a fourth mode as BSISO2. [Reference numerals] (S601) Extracts daily average OLR50 hPa east and west wind data over a predetermined period in an area for calculation;(S602) Remove an interannualvariability and seasonal periodieity effect from the daily average OLR and 850 hPa east and west wind data;(S603) Normalize the OLR and 850 hPa east and west wind data as an average standard deviation for the Asian monsoon region;(S604) Apply the OLR and 850 hPa east and west wind data to a multivariate experiential orthogonal function;(S605) Define a main component time series in a first and a second mode as boreal summer intraseasonal oscillation (BSISO1);(S606) Define a main component time series in a third and a fourth mode as boreal summer intraseasonal oscillation (BSISO2)
Abstract translation: 本发明涉及一种用于定义亚洲季风区北部夏季季节内振荡的系统和方法，其包括参考数据提取单元，其提取日平均出射长波辐射（OLR）和850hPa东西风数据 计算区域的预定期间; 每年平均OLR和850 hPa东西风数据消除年际变率和季节周期效应的跨年度变率和季节周期效应消除单位; 一个将OLR和850 hPa东西风数据归一化为亚洲季风区的平均标准差的数据归一化单元; MV-EOF应用单元，将OLR和850 hPa东西风数据应用于多变量经验正交函数，以计算北方夏季季节内振荡（BSISO）; 以及第一和第二北半球夏季季节振荡（BSISO）计算单元，其定义通过应用于多变量经验正交函数获得的第一和第二模式中的主要分量时间序列作为BSISO1，同时定义主分量时间序列 第三和第四模式为BSISO2。 （附图标记）（S601）在计算区域中提取日常平均OLR50hPa东西风数据（S602）从日平均OLR和850hPa东西风数据中消除年际变化和季节周期效应 （S603）将亚洲季风区域的OLR和850 hPa东西风数据归一化为平均标准偏差;（S604）将OLR和850 hPa东西风数据应用于多变量经验正交函数;（S605） 在第一和第二模式中定义主要组件时间序列作为北方夏季季节内振荡（BSISO1）;（S606）将第三和第四模式的主要组件时间序列定义为北方夏季季节内振荡（BSISO2）
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公开(公告)号：KR1020120110463A
公开(公告)日：2012-10-10
申请号：KR1020110028338
申请日：2011-03-29
Applicant: 부산대학교 산학협력단
IPC: G01W1/00
Abstract: PURPOSE: A drag coefficient parameterization device and a method for the same are provided to accurately consider a frictional influence on the surface of an ocean in a weather model and a local weather model. CONSTITUTION: A drag coefficient parameterization method includes the following steps: 10 m wind speed from an observing machine to an ocean observing point, roughness length, and Monin-Obukhov length are detected in a weather information detecting part(S301); a weather verifying part verifies a season on the basis of an inputted date(S302); atmospheric stability is verified by calculating and then by inputting the roughness length and the Monin-Obukhov length in a stability verifying part(S304, S305); and a drag coefficient is calculated(S306). [Reference numerals] (AA) Start; (BB) End; (S301) Detecting 10 m wind speed, roughness length, and Monin-Obukhov length; (S302) Verifying seasons on the basis of dates; (S303) Inputting the roughness length and the Monin-Obukhov length; (S304) Calculating the ratio of the roughness length and the Monin-Obukhov length; (S305) Verifying stability on the basis of the calculated ratio; (S306) Calculating drag coefficient by respectively applying different drag coefficient calculating formulas to verified seasons/stabilities
Abstract translation: 目的：提供一种阻力系数参数化装置及其方法，以便在气象模式和当地气象模型中准确考虑对海洋表面的摩擦影响。 构成：拖曳系数参数化方法包括以下步骤：在天气信息检测部分检测从观测机到海洋观测点的10m风速，粗糙度长度和莫尼奥霍霍夫长度（S301）; 天气验证部分基于输入日期验证季节（S302）; 通过计算稳定性验证部分中的粗糙度长度和Monin-Obukhov长度来计算大气稳定性（S304，S305）; 并计算阻力系数（S306）。 （附图标记）（AA）开始; （BB）结束; （S301）检测10米风速，粗糙度长度和Monin-Obukhov长度; （S302）根据日期验证季节; （S303）输入粗糙度长度和Monin-Obukhov长度; （S304）计算粗糙度长度和Monin-Obukhov长度的比率; （S305）根据计算出的比例验证稳定性; （S306）通过分别应用不同的阻力系数计算公式来验证季节/稳定性来计算阻力系数
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公开(公告)号：KR101372498B1
公开(公告)日：2014-03-13
申请号：KR1020130024776
申请日：2013-03-08
Applicant: 부산대학교 산학협력단
IPC: G01W1/10
Abstract: The present invention relates to a system and a method for determining a beginning date of rainy season using Ieodo observation data. The system and the method for determining a beginning date of rainy season is capable of determining an exact beginning period of rainy season using observation data of an Ieodo ocean research station located in waters southwest of Korean Peninsula while excluding inland observation data including errors due to a geological influence. The system for determining a beginning date of rainy season using Ieodo observation data comprises a movement average calculation unit for calculating a movement average of observation data of an Ieodo ocean research station to define a beginning date of rainy season based on movement average data; a data quality inspection and selection unit for selecting as data for defining the beginning date of rainy season only when the number of missing values within a movement average period is less than the predetermined number; a north and south wind determination unit for checking whether or not the north and south wind is sustained during the predetermined period after the north and south wind is changed from a north wind to a south wind and an east and west wind determination unit for detecting the observation data on the east and west wind changed from an east wind to a west wind; an overlapping date designation unit for designating a first overlapping date from results of the north and south wind determination and the east and west wind determination by the north and south wind determination unit and the east and west wind determination unit; a reliability inspection unit for comparing the designated overlapping date with a former beginning date of rainy season in a Jeju area provided by a meteorological office, obtaining a correlation therebetween and determining reliability; and a beginning date of rainy season determination unit for determining the designated overlapping date as a beginning date of rainy season if the reliability determined by the reliability inspection unit is on the predetermined level.
Abstract translation: 本发明涉及使用Ieodo观测数据确定雨季开始日期的系统和方法。 用于确定雨季开始日期的系统和方法能够使用位于朝鲜半岛西南部水域的Ieodo海洋研究站的观测数据来确定雨季的确切开始周期，同时排除内陆观测数据，包括由于 地质影响 使用Ieodo观测数据确定雨季的开始日期的系统包括移动平均计算单元，用于基于移动平均数据计算Ieodo海洋研究站的观测数据的移动平均值，以定义雨季的开始日期; 数据质量检查和选择单元，用于仅当运动平均周期内的缺失值的数量小于预定数量时，选择用于定义雨季的开始日期的数据; 南风风决定单元，用于在北风和南风从北风变为南风之后的预定时间段内检查南北风是否持续;以及东西风决定单元，用于检测 东西风观测数据从东风向西风变化; 重叠日期指定单元，用于根据南北风决定单元和东西风决定单元的北风和南风决定以及东西风决定指定第一重叠日期; 一个可靠性检查单元，用于将指定的重叠日期与由气象部门提供的济州地区的前一个雨季开始日期进行比较，获得其间的相关性并确定可靠性; 以及如果由可靠性检查单元确定的可靠性处于预定水平，则确定指定重叠日期作为雨季的开始日期的雨季确定单元的开始日期。
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公开(公告)号：KR1020120125048A
公开(公告)日：2012-11-14
申请号：KR1020110043093
申请日：2011-05-06
Applicant: 부산대학교 산학협력단
IPC: G01W1/00
Abstract: PURPOSE: A post-treatment system for ocean turbulent flux observation data and a method for the same are provided to improve predictability by using the data for improving the parameterization of atmosphere-ocean interaction in the boundary layer of a weather model and a climate module. CONSTITUTION: A post-treatment method for ocean turbulent flux observation data includes the following steps: the physical errors of ocean turbulent flux are verified according to the rainfall, visibility, and relative humidity of an observation point(S101); the physical errors of the ocean turbulent flux are verified according to the standard deviation of the ocean turbulent flux(S102); data without errors undergoes parallel inspections(S103); and the coordinate axis of a post-treatment system for ocean turbulent flux observation data is changed to a wind blowing direction in order to remove the physical errors from the data(S107). [Reference numerals] (AA) Turbulent flux observation data; (BB,DD,EE) Physical error; (CC) Electric error; (FF) Yes; (GG) No; (HH) Turbulence flux data after post-treatment process; (S101) 0.0 mm or more of rainfall, 2 Km or less of visibility, 85% or more of relative humidity; (S102) Within a range of ± standard deviation calculated for ± 2.5 minutes(total 5 minutes) X 3.5 times; (S103) Parallel inspection; (S104) Two or less of major errors; (S105) Calculating average wind blowing direction for ±15 minutes(total 30 minutes); (S106) Wind blowing direction is more than -135 degrees or less than +135 degrees at a machine installed direction; (S107) Coordinate axis changing process
Abstract translation: 目的：提供一种用于海洋湍流通量观测数据的后处理系统及其方法，以通过使用数据改善天气模型和气候模块边界层中大气 - 海洋相互作用参数化的数据来提高可预测性。 构成：海洋湍流通量观测数据的后处理方法包括以下步骤：根据观测点的降雨，可见度和相对湿度验证海洋湍流通量的物理误差（S101）; 根据海洋湍流通量的标准偏差验证海洋湍流通量的物理误差（S102）; 没有错误的数据进行平行检查（S103）; 并且将用于海洋湍流通量观测数据的后处理系统的坐标轴改变为吹风方向，以便从数据中去除物理误差（S107）。 （AA）湍流通量观测数据; （BB，DD，EE）物理错误; （CC）电气错误; （FF）是; （GG）否 （HH）后处理后的湍流通量数据; （S101）0.0mm以上的降雨量，2Km以下的能见度，85％以上的相对湿度; （S102）在±2.5分钟（共5分钟）×±3.5次±标准偏差范围内， （S103）平行检查; （S104）两次以下重大错误; （S105）计算平均吹风方向±15分钟（共30分钟）; （S106）机器安装方向吹风方向大于-135度或小于+135度; （S107）坐标轴变更处理
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