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Generating probabilistic estimates of rainfall rates from radar reflectivity measurements

机译:从雷达反射率测量值生成降雨率的概率估计

摘要

A method and system for generating probabilistic estimates of precipitation intensity from radar reflectivity measurements is provided. In an embodiment, an agricultural intelligence computer system receives radar reflectivity measurements for a particular location from an external data source. The agricultural intelligence computer system constructs a probability distribution of drop sizes describing the probability that the precipitation included drops of various sizes based on the radar reflectivity measurements. The agricultural intelligence computer system samples a plurality of values from the probability of distribution of drop sizes and uses the plurality of values and the radar reflectivity measurements to compute a plurality of rainfall rates. Based on the plurality of rainfall rates, the agricultural intelligence computer system constructs a probability distribution of rainfall rates for the particular location.
机译:提供了一种用于从雷达反射率测量值生成降水强度的概率估计的方法和系统。在一个实施例中,农业智能计算机系统从外部数据源接收特定位置的雷达反射率测量值。农业智能计算机系统根据雷达的反射率测量结果,构建液滴大小的概率分布,以描述降水包括各种大小的液滴的概率。农业智能计算机系统从液滴大小分布的概率中采样多个值,并使用多个值和雷达反射率测量值来计算多个降雨率。基于多个降雨率,农业智能计算机系统为特定位置构造降雨率的概率分布。

著录项

  • 公开/公告号US10416351B2

    专利类型

  • 公开/公告日2019-09-17

    原文格式PDF

  • 申请/专利权人 THE CLIMATE CORPORATION;

    申请/专利号US201514945282

  • 申请日2015-11-18

  • 分类号G01W1/10;G06N7;G01W1/14;G06Q50/02;G01S13/95;

  • 国家 US

  • 入库时间 2022-08-21 12:16:59

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