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Basic Principles of Automatic Calibration of Multi-parameter Models Used in Operational Systems of Flash Flood Forecasting

机译:洪水预报业务系统中多参数模型自动校准的基本原理

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摘要

This paper initiates a series of three articles on automatic calibration of operational multi-parameter models used for flash flood forecasting in automated regime. The main point expressed in this series is that proper calibration of even a single model for a single basin is not a trivial problem, but in an tomated forecasting systems, when thousands or even millions of basins should be parametrized simultaneously, priorities change. Now the computational efficiency becomes the most critical; an implemented calibration procedure must be fast and efficient rather than giving "the best" parameters yet computationally expensive. The first article of the series contains critical analysis of the "mainstream" in hydrological models calibration and presents basic principles of the Stepwise Line Search algorithm and its modifications, practically feasible and robust parametrization approaches that would be suitable for automated systems used for flash flood forecasting.
机译:本文启动了三篇有关自动多指标模型的自动校准的系列文章,这些多参数模型用于自动状态下的山洪预报。本系列文章的主要观点是,即使对单个盆地的单个模型进行正确的校准也不是小事,但是在一个无序的预测系统中,当应同时参数化成千上万个盆地时,优先级会发生变化。现在,计算效率变得至关重要。实施的校准程序必须快速高效,而不是提供“最佳”参数,但计算量巨大。该系列的第一篇文章对水文模型校准中的“主流”进行了严格的分析,并介绍了逐步线搜索算法的基本原理及其修改,切实可行且鲁棒的参数化方法,这些方法适用于山洪预报的自动化系统。

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  • 来源
    《Russian meteorology and hydrology》 |2009年第6期|384-391|共8页
  • 作者

    V. A. Kuzmin;

  • 作者单位

    Russian State Hydrometeorological University, Malookhtinskii pr. 98,St. Petersburg, 195196 Russia;

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  • 正文语种 eng
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