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    • 4. 发明授权
    • Predicting climate data using climate attractors derived from a global climate model
    • 使用来自全球气候模式的气候吸引器预测气候数据
    • US09262723B2
    • 2016-02-16
    • US13823285
    • 2011-10-04
    • Michael Luvalle
    • Michael Luvalle
    • G06F15/18G06N7/00G01W1/10
    • G06N7/005G01W1/10G06N7/00
    • Embodiments generally relate to methods of accurately predicting seasonal fluctuations in precipitation or other approximate functionals of a climate state space, such as the number of heating or cooling degree days in a season, maximum river flow rates, water table levels and the like. In one embodiment, a method for predicting climate comprises: deriving a climate attractor from a global climate model, wherein a tuning parameter for the climate attractor comprises a value of total energy for moving air and water on the earth's surface; estimating a predictive function for each of a plurality of computational cells within the global climate model; and predicting an approximate climate functional of interest for a given specific location utilizing a combination of the predictive functions from each of the plurality of computational cells geographically proximate the location, where at all stages, predictive functions are selected in part by comparison to historical data.
    • 实施例通常涉及准确预测气候状态空间的降水或其他近似功能的季节性波动的方法,例如季节中的加热或冷却度天数,最大河流量,水位等级等。 在一个实施例中,一种用于预测气候的方法包括:从全球气候模型导出气候吸引子,其中气候吸引子的调谐参数包括用于在地球表面上移动空气和水的总能量的值; 估计全球气候模型内的多个计算单元中的每一个的预测函数; 以及利用来自地理上靠近所述位置的所述多个计算单元中的每一个的预测函数的组合来预测给定特定位置的感兴趣的近似气候功能,其中在所有阶段,部分地通过与历史数据进行比较来选择预测功能。
    • 5. 发明申请
    • Statistical Prediction Functions For Natural Chaotic Systems And Computer Models Thereof
    • 自然混沌系统及其计算机模型的统计预测函数
    • US20130231906A1
    • 2013-09-05
    • US13823285
    • 2011-10-04
    • Michael Luvalle
    • Michael Luvalle
    • G06N7/00
    • G06N7/005G01W1/10G06N7/00
    • Embodiments generally relate to methods of accurately predicting seasonal fluctuations in precipitation or other approximate functionals of a climate state space, such as the number of heating or cooling degree days in a season, maximum river flow rates, water table levels and the like. In one embodiment, a method for predicting climate comprises: deriving a climate attractor from a global climate model, wherein a tuning parameter for the climate attractor comprises a value of total energy for moving air and water on the earth's surface; estimating a predictive function for each of a plurality of computational cells within the global climate model; and predicting an approximate climate functional of interest for a given specific location utilizing a combination of the predictive functions from each of the plurality of computational cells geographically proximate the location, where at all stages, predictive functions are selected in part by comparison to historical data.
    • 实施例通常涉及准确预测气候状态空间的降水或其他近似功能的季节性波动的方法,例如季节中的加热或冷却度天数,最大河流量,水位等级等。 在一个实施例中,一种用于预测气候的方法包括:从全球气候模型导出气候吸引子,其中气候吸引子的调谐参数包括用于在地球表面上移动空气和水的总能量的值; 估计全球气候模型内的多个计算单元中的每一个的预测函数; 以及利用来自地理上靠近所述位置的所述多个计算单元中的每一个的预测函数的组合来预测给定特定位置的感兴趣的近似气候功能,其中在所有阶段,部分地通过与历史数据进行比较来选择预测功能。