...
首页> 外文期刊>Journal of Hydrology >On the utility of operational precipitation forecasts to served as input for streamflow forecasting
【24h】

On the utility of operational precipitation forecasts to served as input for streamflow forecasting

机译:关于运行降水预报作为流量预报输入的效用

获取原文
获取原文并翻译 | 示例
           

摘要

This article studies the utility of quantitative forecast precipitation for the prediction of daily streamflow. Application is made over the Rhone basin, which was included in the Gewex-Rhone program. The precipitation forecasts of the two numerical weather prediction models operationally used in France, ARPEGE and ALADIN, are tested. The riverflow forecast is made using the precipitation forecast as input to the one-way atmosphere-hydrology coupled model SAFRAN-ISBA-MODCOU (SIM). Such a forecast is very sensitive to the initialisation of soil moisture and snow-pack. Therefore, two kinds of streamflow forecast were made: first, a plain forecast, for which the initial conditions are taken from the guess, and second, a re-initialised forecast, for which the initial conditions are set according to a reference run. This reference run is obtained using 1200 daily observed precipitation, interpolated in time and space by SAFRAN.First, the quality of the precipitation forecasts is checked over the Rhone basin for the period August 1997-July 1998 using the SAFRAN analysis as a reference. Then, the SIM system used to forecast riverflow is briefly presented. The predicted riverflows are compared both to the observations at 22 streamgage locations and to the reference run. The results show that the annual average of the average discharge errors at the 22 streamgages can reach 20% in the forecast without re-initialisation, but that this error is reduced significantly when the model is properly initialised. This is due to the fact the re-initialisation of the soil moisture and snow-pack according to the reference run minimizes influences of the previous precipitation forecast error.It is shown that the use of precipitation forecast as input of the SIM system can be of interest to forecast the progress of the long-duration floods of the main stations of the Rhone basin. (C) 2004 Elsevier B.V. All rights reserved.
机译:本文研究了定量预报降水在日流量预测中的实用性。申请在罗讷盆地进行,该盆地已包含在Gewex-Rhone计划中。测试了法国运行的两个数值天气预报模型ARPEGE和ALADIN的降水预报。使用降雨预报作为单向大气水文学耦合模型SAFRAN-ISBA-MODCOU(SIM)的输入来进行河流流量预报。这样的预测对土壤湿度和积雪的初始化非常敏感。因此,进行了两种流量预测:首先是普通预测,从猜测中获取初始条件;其次,重新初始化预测,根据参考运行设置初始条件。该参考运行是使用SAFRAN在时间和空间上进行的每日1200次观测降水量获得的。首先,使用SAFRAN分析作为参考,检查了1997年8月至1998年7月期间罗纳盆地的降水预报质量。然后,简要介绍了用于预测河流流量的SIM系统。将预测的河流流量与在22个流量点的观测值和参考运行进行比较。结果表明,在不进行重新初始化的情况下,22条流量的年平均排放误差的年平均值在预测中可以达到20%,但是如果正确初始化模型,则该误差将大大降低。这是由于这样的事实,即根据参考运行对土壤水分和积雪进行重新初始化可以最大程度地减少先前降水预报误差的影响。这表明使用降水预报作为SIM系统的输入可以有兴趣预测罗纳河盆地主要站点的长期洪水进展。 (C)2004 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号