Evaluating and Modeling the Reliability of Continuous No-Rain Forecast from TIGGE Based on the First-Passage Problem and Fuzzy Mathematics

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Chenkai Cai, Jianqun Wang, Zhijia Li, Xinyi Shen, Jinhua Wen, Helong Wang, Xinyan Zhou
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引用次数: 0

Abstract

As an important reference of reservoir regulation, more and more attention has been paid to the numeric precipitation forecast. Due to the uncertainty of meteorological prediction, reservoir regulation based on precipitation forecasts may lead to flood control risks. Therefore, the reliability of precipitation forecasts is crucial to the formulation of reservoir regulation strategy based on it. In this paper, a reliability assessment model for a continuous precipitation forecast is proposed based on the first-passage problem and fuzzy mathematics. The uncertainty of precipitation forecast is described by the generalized Bayesian model, and the fuzzy reliability of a continuous precipitation forecast can be obtained by the first-passage fuzzy probability model (FFPM). Due to the importance of a no-rain period in flood resource utilization, the no-rain forecasts from four different forecast centers in the Meishan basin are used as an example. The results show that the fuzzy mathematics is helpful in describing the uncertainty of the boundary for the no-rain set, and the fuzzy reliability of the no-rain forecast is affected by the selection of the range for the no-rain forecast, while the influence of the membership function is limited. Furthermore, due to the downward trend of fuzzy reliability as the lead time increases, there is a contradiction between excess water storage of the reservoir and the fuzzy reliability of the no-rain forecast. A longer continuous no-rain period means more excess water storage, but it also faces lower reliability. In actual reservoir regulation, the results of FFPM can be combined with more information to formulate better strategies for reservoir regulation.
基于首道问题和模糊数学的TIGGE连续无雨预报可靠性评价与建模
数值降水预报作为水库调控的重要参考,越来越受到人们的重视。由于气象预报的不确定性,基于降水预报的水库调度可能带来防洪风险。因此,降水预报的可靠性对于制定基于降水预报的水库调控策略至关重要。本文提出了一种基于首道问题和模糊数学的连续降水预报可靠性评估模型。降水预报的不确定性用广义贝叶斯模型来描述,连续降水预报的模糊可靠性用第一遍模糊概率模型(FFPM)来确定。鉴于无雨期对洪水资源利用的重要性,本文以梅山流域4个不同预报中心的无雨期预报为例进行了分析。结果表明,模糊数学有助于描述无雨集边界的不确定性,无雨预报的模糊可靠性受无雨预报范围选择的影响,而隶属函数的影响有限。此外,由于模糊可靠度随提前期的增加呈下降趋势,水库的过剩储水量与无雨预报的模糊可靠度之间存在矛盾。长时间的连续无雨期意味着更多的过剩储水量,但也面临着可靠性降低的问题。在实际的油藏调控中,FFPM的结果可以与更多的信息相结合,制定更好的油藏调控策略。
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来源期刊
Journal of Hydrometeorology
Journal of Hydrometeorology 地学-气象与大气科学
CiteScore
7.40
自引率
5.30%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The Journal of Hydrometeorology (JHM) (ISSN: 1525-755X; eISSN: 1525-7541) publishes research on modeling, observing, and forecasting processes related to fluxes and storage of water and energy, including interactions with the boundary layer and lower atmosphere, and processes related to precipitation, radiation, and other meteorological inputs.
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