Search Results

You are looking at 11 - 20 of 1,840 items for :

  • Forecasting x
  • Journal of Hydrometeorology x
  • Refine by Access: All Content x
Clear All
David E. Robertson and Q. J. Wang

1. Introduction Forecasts of future seasonal streamflows provide valuable information to many water users and managers, including irrigators, hydroelectricity generators, rural and urban water supply authorities, and environmental managers ( Plummer et al. 2009 ). Statistical techniques commonly used as a practical approach to produce forecasts of seasonal streamflows include regression models ( Garen 1992 ; Kwon et al. 2009 ; Lima and Lall 2009 ; Pagano et al. 2009 ; Ruiz et al. 2007

Full access
Eric A. Rosenberg, Andrew W. Wood, and Anne C. Steinemann

observations of hydrologic variables. One such prediction model is that of the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture. Since 1935, a principal responsibility of NRCS has been the publication of water supply forecasts in the American West ( Helms et al. 2008 ). End users of the forecasts serve a broad array of objectives ranging from irrigated agriculture, flood control, and municipal water supply to endangered species protection, power generation, and recreation

Restricted access
Hector Macian-Sorribes, Ilias Pechlivanidis, Louise Crochemore, and Manuel Pulido-Velazquez

1. Introduction Predicting the hydrological response in a river basin over the coming seasons can be of significant added value for water resources management ( Contreras et al. 2020 ; Lavers et al. 2020 ). Recent investigations have demonstrated the benefits from the use of seasonal streamflow forecasting services at large (i.e., continental) and regional scales ( Crochemore et al. 2020 ; Y. Li et al. 2017 ; Pechlivanidis et al. 2020 ; Wanders et al. 2019 ). Statistical streamflow

Restricted access
Ganesh R. Ghimire, Witold F. Krajewski, and Felipe Quintero

1. Introduction Despite recent advances in the numerical weather prediction (NWP) models and weather observations, quantitative precipitation forecasting still reflects considerable uncertainty. Quantitative precipitation forecasts (QPFs) are needed in real-time streamflow (flood) forecasting to extend the forecast lead time (e.g., Cuo et al. 2011 ; Collischonn et al. 2005 ). Given significant uncertainties associated with QPFs, particularly with respect to location, timing, and magnitude

Restricted access
Hui Wang, A. Sankarasubramanian, and Ranji S. Ranjithan

1. Introduction Medium-range (10–15 days or submonthly time scales) weather forecasting has recently gained more attention owing to its practical importance with regard to water allocation and flood control in large basins. For instance, operation of reservoir systems critically depends on precipitation/streamflow over 2–4 weeks to develop water and energy management plans ( Sankarasubramanian et al. 2009a , b ). Chaotic characteristics of the atmosphere ( Lorenz 1963 ) known as the “butterfly

Full access
Kevin Werner and Kristen Yeager

1. Introduction This paper describes the 2011 peak streamflows in the Colorado basin and the Great Basin in an attempt to illuminate the forecasting efforts of the NOAA Colorado Basin River Forecast Center (CBRFC). A recent National Research Council (2012) report highlighted the difficulties in transferring research results into operational river forecasting as a major impediment to improving forecasts. The primary goal of this paper is to highlight three areas where research is most needed

Restricted access
Xiaogang Shi, Andrew W. Wood, and Dennis P. Lettenmaier

1. Introduction Accurate forecasts of seasonal streamflow volumes assist a broad array of water (and other) resource decision makers ( Pagano et al. 2004 ). Therefore, forecasters have a strong interest in the accuracy of seasonal forecasts, and in the potential for improvement of forecast accuracy. Nonetheless, Pagano et al. (2004) reported that the skill of western U.S. seasonal streamflow forecasts generally has not improved since the 1960s. The current skill of seasonal hydrological

Full access
Lan Cuo, Thomas C. Pagano, and Q. J. Wang

1. Introduction a. Motivation and organization Recent advances in weather measurement and forecasting have created opportunities to improve streamflow forecasts. The accuracy of weather forecasts has steadily improved over the years, but it has been challenging to integrate quantitative precipitation forecasts/forecasting (QPF) into flood forecasting operations. This review investigates the current status of the application of QPF as a forcing for hydrologic models. The objectives of the study

Full access
J. M. Schuurmans and M. F. P. Bierkens

1. Introduction Insight into the spatial distribution of soil moisture within a catchment is of great importance to many groups, for example, farmers and water management boards. Accurate short- to medium-range prediction of spatially distributed soil moisture is helpful for optimizing irrigation gifts, forecasting hydrological drought, and assessing catchment wetness for flood control. Because rainfall is one of the most important input variables in hydrological models, the accuracy of the

Full access
Giuseppe Mascaro, Enrique R. Vivoni, and Roberto Deidda

1. Introduction Quantitative precipitation forecasts (QPFs) represent one of the main sources of uncertainty in hydrometeorological flood forecasting systems ( Seo et al. 2000 ; Jasper et al. 2002 ; Arduino et al. 2005 ), especially in small river basins (∼10 2 –10 3 km 2 ), where the spatiotemporal rainfall distribution is crucial to provide accurate flood forecasts ( Warner et al. 2000 ; Kabold and Suselj 2005 ). Recently, ensemble forecasting techniques have been adopted to account for

Full access