用遥相关指标长期预测第聂伯罗瀑布水库冰现象和冻结的出现日期

B. Khrystiuk, L. Gorbachova
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引用次数: 1

摘要

长期预报水体冰况是一项艰巨的任务,在提高预报精度方面仍未得到解决。本文的目的是开发利用遥相关指标预测第聂伯罗水库冰现象和冻结出现日期的长期方法。本文基于位于第聂伯罗瀑布6个水库的38个水位计的观测数据进行了研究。使用了从每个水位计开始观测到2020年(含2020年)期间冰现象和冻结的出现日期。此外,本研究还利用了美国国家海洋和大气管理局(NOAA USA)国家气象局(NWS)确定的34个大气指数、海表温度指数、遥相关指数和模式等遥相关指标信息。通过寻找日期与遥相关指标之间的最佳相关或回归关系,建立了第聂伯罗水库冰现象和冻结出现日期的长期预测方法。所开发方法的可接受误差概率在61 ~ 72%范围内,对应于对方法质量的“满意”评价范畴。这使得推荐它们用于业务预测成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term forecasting of appearance dates of ice phenomena and freeze-up at the Dnipro Cascade reservoirs by teleconnection indicators
Long-term forecasting of the ice regime of water bodies is a difficult task and is still unresolved in the part of improving the accuracy of forecasts. The objective of this paper is the development of the long-term forecasting methods of appearance dates of ice phenomena and freeze-up at the Dnipro Cascade reservoirs by teleconnection indicators. The research was carried out based on the observation data of 38 water gauges, which are located on 6 reservoirs of the Dnipro Cascade. The appearance dates of ice phenomena and freeze-up for the period from the observation beginning at each water gauges to 2020, inclusive, were used. In addition, in the research were also used the information about the teleconnection indicators, namely 34 atmospheric indices, sea surface temperature indices, teleconnection indices and patterns, that are determined by the National Weather Service (NWS) of the National Oceanic and Atmospheric Administration of United States of America (NOAA USA). The long-term forecasting methods of the appearance dates of ice phenomena and freeze-up at the Dnipro Cascade reservoirs were developed by searching for the best correlation or regression relationship between dates and teleconnection indicators. The probabilities of acceptable error of the developed methods are in the range of 61–72%, which corresponds to the category of "satisfactory" assessment of the method quality. It makes it possible to recommend them for use in operational forecasting.
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