公开(公告)号：US07734245B2

公开(公告)日：2010-06-08

申请号：US11388185

申请日：2006-03-23

申请人： Sai Ravela ,  Kerry A. Emanuel

发明人： Sai Ravela ,  Kerry A. Emanuel

IPC分类号： G01V3/00 ,  G01V7/00 ,  G06G7/48 ,  G09B9/56 ,  G01S13/00

CPC分类号： G01W1/10 ,  G06Q10/04 ,  G06Q50/26 ,  Y10S706/93 ,  Y10S706/931

摘要： A combined statistical-deterministic approach to methods and systems for assessing risk associated with natural disasters, in particular, hurricane wind risk. One example of a method of predicting wind speed distribution within a predetermined distance from a point of interest includes steps of statistically synthesizing a large plurality of wind storm tracks that pass within a predetermined radius of the point of interest, running a deterministic simulation of wind intensity along each one of the large plurality of wind storm tracks to produce an output representative of wind speed distribution along each track, and using the output to estimate an overall wind speed probability distribution from a combination of the wind speed distributions along each track within the predetermined distance from the point of interest.

摘要翻译： 对用于评估与自然灾害有关的风险的方法和系统的综合统计确定性方法，特别是飓风风险。 在距离兴趣点的预定距离内预测风速分布的方法的一个示例包括统计合成在目标点的预定半径范围内通过的大量多个风暴轨道的步骤，运行风强度的确定性模拟 沿着每个所述多个风暴轨道中的每一个产生表示沿着每个轨道的风速分布的输出，并且使用所述输出来从所述预定的每个轨道内的每个轨道的风速分布的组合估计总体风速概率分布 距离兴趣点的距离。

公开(公告)号：US5406481A

公开(公告)日：1995-04-11

申请号：US266541

申请日：1994-06-28

申请人： Kazuhiko Shinozawa ,  Noboru Sonehara ,  Tadasu Uchiyama

发明人： Kazuhiko Shinozawa ,  Noboru Sonehara ,  Tadasu Uchiyama

IPC分类号： G01S13/95 ,  G01S15/88 ,  G01W1/10 ,  G06F15/54

CPC分类号： G01W1/10 ,  G01S15/885 ,  G01S13/95 ,  Y10S706/931

摘要： An apparatus is presented for providing a short time range forecast with relative high accuracy from weather radar images of cloud reflection data by incorporating physical properties of cloud in the forecasting method. The method consists of defining a plurality of lattice points on a radar image, and multiplying the reflection data from a group of neighboring lattice points obtained at a specific past point in time with selected coefficients. The products of multiplication are summed, and transformed into image data by specific function based on the properties relating to cloud. Squared errors of the difference between the computational reflection data and the observed reflection data are iterated to a value below a predetermined threshold value to select the coefficients, and these coefficients are used to provide forecasting of reflection data at a specific future point in time.

摘要翻译： 提出了一种通过在预测方法中结合云的物理属性来提供来自云反射数据的天气雷达图像的相对高精度的短时间范围预测的装置。 该方法包括在雷达图像上定义多个格点，并将来自在特定过去时间点获得的一组相邻格点的反射数据与所选择的系数相乘。 乘法乘积相加，并根据与云相关的属性通过特定函数转换为图像数据。 将计算反射数据和观察到的反射数据之间的差的平方误差迭代到低于预定阈值的值以选择系数，并且这些系数用于在特定的未来时间点提供反射数据的预测。

公开(公告)号：US5140523A

公开(公告)日：1992-08-18

申请号：US628695

申请日：1990-12-14

申请人： Donald S. Frankel ,  James S. Draper

发明人： Donald S. Frankel ,  James S. Draper

IPC分类号： G01W1/02 ,  G01W1/10 ,  G01W1/16

CPC分类号： G01W1/10 ,  G01K2203/00 ,  Y10S706/931

摘要： A system and method are provided for the automated prediction of lightning strikes in a set of different spatial regions for different times in the future. In a preferred embodiment, the system utilizes measurements of many weather phenomena. The types of measurements that can be utilized in approximately the same geographical region as that for which the strike predictions are made. This embodiment utilizes a correlation network to relate these weather measurements to future lightning strikes.

摘要翻译： 提供了一种系统和方法，用于在将来针对不同时间的一组不同空间区域中的雷击的自动预测。 在优选实施例中，系统利用许多天气现象的测量。 可以在与进行罢工预测的地理区域大致相同的地理区域中使用的测量类型。 该实施例利用相关网络将这些天气测量值与未来的雷击相关联。

公开(公告)号：US20070168155A1

公开(公告)日：2007-07-19

申请号：US11388185

申请日：2006-03-23

申请人： Sai Ravela ,  Kerry Emanuel

发明人： Sai Ravela ,  Kerry Emanuel

IPC分类号： G01W1/00 ,  G06F17/18

CPC分类号： G01W1/10 ,  G06Q10/04 ,  G06Q50/26 ,  Y10S706/93 ,  Y10S706/931

摘要： A combined statistical-deterministic approach to methods and systems for assessing risk associated with natural disasters, in particular, hurricane wind risk. One example of a method of predicting wind speed distribution within a predetermined distance from a point of interest includes steps of statistically synthesizing a large plurality of wind storm tracks that pass within a predetermined radius of the point of interest, running a deterministic simulation of wind intensity along each one of the large plurality of wind storm tracks to produce an output representative of wind speed distribution along each track, and using the output to estimate an overall wind speed probability distribution from a combination of the wind speed distributions along each track within the predetermined distance from the point of interest.

摘要翻译： 对用于评估与自然灾害有关的风险的方法和系统的综合统计确定性方法，特别是飓风风险。 在距离兴趣点的预定距离内预测风速分布的方法的一个示例包括统计合成在目标点的预定半径范围内通过的大量多个风暴轨道的步骤，运行风强度的确定性模拟 沿着每个所述多个风暴轨道中的每一个产生表示沿着每个轨道的风速分布的输出，并且使用所述输出来从所述预定的每个轨道内的每个轨道的风速分布的组合估计总体风速概率分布 距离兴趣点的距离。

公开(公告)号：US5796611A

公开(公告)日：1998-08-18

申请号：US538723

申请日：1995-10-03

申请人： Keihiro Ochiai ,  Hideto Suzuki ,  Noboru Sonehara

发明人： Keihiro Ochiai ,  Hideto Suzuki ,  Noboru Sonehara

IPC分类号： G01S7/41 ,  G01S13/95 ,  G01W1/10 ,  G06F17/10

CPC分类号： G01W1/10 ,  G01S13/95 ,  G01S7/417 ,  Y10S706/931

摘要： The present invention provides a weather forecast apparatus and a method for the same, to systematically classify a measured radar image based on results of pattern classification of past radar images so as to use the classified radar image. In the present invention, rapid forecasting is possible by making the FNN model previously learn based on data of each class (and indexes for forecast times) obtained by classification of past weather data for every resembling pattern. In addition, a calculation procedure for improving the classifying ability of patterns can be established by varying the procedure for calculating feature quantities with regard to the radar image by using the learning of the TNN model. Furthermore, systematic classification of a pre-learned image can be realized by performing self organization with regard to compound feature quantities extracted from a radar image in the PNN model, a typical example of which is a competitive learning model.

摘要翻译： 本发明提供一种天气预报装置及其方法，基于过去的雷达图像的模式分类的结果对测量的雷达图像进行系统分类，以便使用分类的雷达图像。 在本发明中，通过使FNN模型先前基于通过对于每个类似模式的过去天气数据的分类获得的每个类别（和预测时间的索引）的数据来进行快速预测是可能的。 另外，可以通过使用TNN模型的学习改变用于计算关于雷达图像的特征量的过程来建立用于提高图案分类能力的计算过程。 此外，可以通过对PNN模型中的雷达图像提取的复合特征量进行自组织来实现预先学习的图像的系统分类，其典型的例子是竞争性学习模型。

公开(公告)号：US07603263B2

公开(公告)日：2009-10-13

申请号：US11356183

申请日：2006-02-17

申请人： Satoshi Yamaguchi ,  Keiro Muro ,  Kazuaki Iwamura

发明人： Satoshi Yamaguchi ,  Keiro Muro ,  Kazuaki Iwamura

IPC分类号： G06G7/50 ,  G06F19/00 ,  G01V3/00 ,  G01W1/00

CPC分类号： G06F17/5018 ,  Y10S706/928 ,  Y10S706/929 ,  Y10S706/93 ,  Y10S706/931

摘要： It is possible to easily perform the spatial simulation for a large area. Provided is a computer-readable medium recorded with a spatial simulation program for controlling a computer to execute procedures for calculating a time-based change of a variable in a plurality of numerical grids to reproduce on a computer a time-based change of a phenomenon represented by the variable in a space represented by the plurality of numerical grids, the spatial simulation program including the procedures of: defining a sub domain composed of the plurality of numerical grids (201); setting a forcing condition for the sub domain (204); detecting the sub domain including the numerical grid in which the variable changes with time; detecting the sub domain including the numerical grid in which the variable referred to for calculating the time-based change is positioned (205); and updating variables in the numerical grids constituting the detected sub domain (208).

摘要翻译： 可以方便地对大面积进行空间仿真。 提供了一种记录有空间仿真程序的计算机可读介质，用于控制计算机执行用于计算多个数字网格中的变量的基于时间的变化的过程，以在计算机上再现表示的现象的基于时间的变化 通过由多个数值网格表示的空间中的变量，空间模拟程序包括以下过程：定义由多个数字网格组成的子域（201）; 设置子域的强制条件（204）; 检测包括变量随时间变化的数值网格的子域; 检测包括其中所述用于计算基于时间的变化所参考的变量被定位的数值网格的子域（205）; 以及更新构成检测到的子域（208）的数值网格中的变量。

公开(公告)号：US20070032993A1

公开(公告)日：2007-02-08

申请号：US11356183

申请日：2006-02-17

申请人： Satoshi Yamaguchi ,  Keiro Muro ,  Kazuaki Iwamura

发明人： Satoshi Yamaguchi ,  Keiro Muro ,  Kazuaki Iwamura

IPC分类号： G06F17/10

CPC分类号： G06F17/5018 ,  Y10S706/928 ,  Y10S706/929 ,  Y10S706/93 ,  Y10S706/931

摘要： It is possible to easily perform the spatial simulation for a large area. Provided is a computer-readable medium recorded with a spatial simulation program for controlling a computer to execute procedures for calculating a time-based change of a variable in a plurality of numerical grids to reproduce on a computer a time-based change of a phenomenon represented by the variable in a space represented by the plurality of numerical grids, the spatial simulation program including the procedures of: defining a sub domain composed of the plurality of numerical grids (201); setting a forcing condition for the sub domain (204); detecting the sub domain including the numerical grid in which the variable changes with time; detecting the sub domain including the numerical grid in which the variable referred to for calculating the time-based change is positioned (205); and updating variables in the numerical grids constituting the detected sub domain (208).

摘要翻译： 可以方便地对大面积进行空间仿真。 提供了一种记录有空间模拟程序的计算机可读介质，用于控制计算机执行用于计算多个数字网格中的变量的基于时间的变化的过程，以在计算机上再现表示的现象的基于时间的变化 通过由多个数值网格表示的空间中的变量，空间模拟程序包括以下过程：定义由多个数字网格组成的子域（201）; 设置子域的强制条件（204）; 检测包括变量随时间变化的数值网格的子域; 检测包括其中所述用于计算基于时间的变化所参考的变量被定位的数值网格的子域（205）; 以及更新构成检测到的子域（208）的数值网格中的变量。

公开(公告)号：US6081220A

公开(公告)日：2000-06-27

申请号：US23212

申请日：1998-02-13

申请人： Takahiko Fujisaka ,  Toshio Wakayama ,  Ryuzaburo Usui

发明人： Takahiko Fujisaka ,  Toshio Wakayama ,  Ryuzaburo Usui

IPC分类号： G01W1/00 ,  G01S7/02 ,  G01S13/08 ,  G01S13/58 ,  G01S13/95

CPC分类号： G01S13/951 ,  G01S13/58 ,  Y10S706/931

摘要： A radar system and method for observing weather phenomena which sets a weather model corresponding to weather conditions, determines the attenuation of a radio wave due to the atmosphere and particles based on the weather model, calculates a radar range using the attenuation of the radio wave, and determines radar system parameters based on the radar range.

摘要翻译： 一种用于观测与天气条件相对应的天气模型的天气现象的雷达系统和方法，基于天气模型确定由于大气和粒子引起的无线电波的衰减，使用无线电波的衰减来计算雷达范围， 并根据雷达范围确定雷达系统参数。