首页> 外文期刊>Agriculture, Ecosystems & Environment: An International Journal for Scientific Research on the Relationship of Agriculture and Food Production to the Biosphere >Can seasonal climate forecasting assist in catchment water management decision-making? A case study of the Border Rivers catchment in Australia.
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Can seasonal climate forecasting assist in catchment water management decision-making? A case study of the Border Rivers catchment in Australia.

机译:季节性气候预测可以协助流域水管理决策吗?以澳大利亚边境河流域为例。

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Although the ability to forecast climatic variability has progressed significantly in recent years, there appears little use of seasonal climate forecast information in catchment water management decision-making. Forecast accuracy, or the perceived lack of forecast accuracy, is cited as a key impediment to the uptake of forecast information in decision-making despite the efforts of researchers to statistically validate forecast systems. One potential reason why accuracy remains an impediment is that decision-makers are not only concerned with statistical validity from a climatological perspective, but also with how accurately a forecast predicts impacts on variables of interest from their perspective. This paper examines this issue using a case study approach from eastern Australia to show that a forecast, which is acceptable from a climatological perspective, does not necessarily transfer into a useable forecast for decision-makers. The results show that expected outcomes differ considerably from outcomes generated using a perfect forecast. These unintended outcomes can decrease the potential for a forecast to be useful to decision-makers. It is concluded that forecast research needs to address forecast accuracy from a user perspective to facilitate the adoption of forecast information in decision-making.
机译:尽管近年来预测气候变化的能力已经取得了显着进步,但是在流域水管理决策中很少使用季节性气候预测信息。尽管研究人员在统计上验证了预测系统,但预测准确性或感知的缺乏预测准确性被认为是决策中采用预测信息的主要障碍。准确性仍然受到阻碍的一个潜在原因是,决策者不仅从气候角度关注统计有效性,而且还从他们的角度关注预测如何准确地预测对关注变量的影响。本文使用来自澳大利亚东部的案例研究方法对这一问题进行了研究,以表明从气候学角度可以接受的预测不一定会转变为决策者可以使用的预测。结果表明,预期结果与使用完美预测所产生的结果有很大不同。这些意外的结果可能会降低预测对决策者有用的可能性。结论是,预测研究需要从用户角度解决预测准确性,以促进在决策中采用预测信息。

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