【24h】

Hydrological Perspective on QPE/QPF

机译:QPE / QPF的水文观点

获取原文
获取原文并翻译 | 示例

摘要

The main purpose of hydrological service is to provide real-time decision-making support for flood-related disaster management and water resources management. Precipitation inputs are used in hydrologic runoff and snow-melt models to generate estimates of discharges and stages of streamflow, or used in flash flood prediction models to issue early warning of rainfall-triggered sediment disasters. Therefore, precipitation inputs, strongly influence real-time hydrologic forecasts. Precipitation inputs consist of quantitative precipitation estimations (QPEs), satellite-based precipitation measurements, and quantitative precipitation forecasts (QPFs). The accuracy of hydrologic products is largely dependent on the accuracy of QPE and skill of QPF. This paper describes briefly the hydrological service and its input, hydrological modeting approaches and hydrological perspectives on QPE/QPF in aspects of catchment hydrological forecasting, sediment disaster and flash flood prediction, reservoir operation and etc. It analyses the possible reasons that QPE/QPF products have not been used very extensively in aspects of hydrological service and water-related disaster reduction The paper finally points out that QPE/QPF for hydrologic forecasting and prediction could be strengthened through an end-to-end evaluation that assesses QPE/QPF quality and impacts on flood and streamflow products, and direct communications between meteorologists and hydrologists should be engaged in real time operational forecasting to understand each other.
机译:水文服务的主要目的是为洪水相关灾害管理和水资源管理提供实时决策支持。降水输入用于水文径流和融雪模型中以产生流量和水流阶段的估计,或用于山洪预测模型中以发出降雨触发的沉积物灾害的预警。因此,降水输入强烈影响实时水文预报。降水输入包括定量降水估计(QPE),基于卫星的降水测量和定量降水预报(QPF)。水产产品的准确性在很大程度上取决于QPE的准确性和QPF的技能。本文从流域水文预报,沉积物灾害和山洪预报,水库运行等方面简要介绍了QPE / QPF的水文服务及其输入,水文建模方法和水文观点。分析了QPE / QPF产品的可能原因。最后指出,通过评估QPE / QPF质量和影响的端到端评估,可以加强QPE / QPF在水文预报和预测中的应用关于洪水和水流产品,以及气象学家和水文学家之间的直接沟通,应进行实时的业务预测,以相互了解。

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