Irene Garousi-Nejad

Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI)

This study compares the U.S. National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at SNOTEL sites across the Western U.S. SWE was obtained from SNOTEL sites, while SCAF was obtained from MODIS observations at a nominal 500 m grid scale. Retrospective NWM results were at a 1...

This study compares the U.S. National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at SNOTEL sites across the Western U.S. SWE was obtained from SNOTEL sites, while SCAF was obtained from MODIS observations at a nominal 500 m grid scale. Retrospective NWM results were at a 1...

The era of ‘big data’ promises to provide new hydrologic insights, and open web-based platforms are being developed and adopted by the hydrologic science community to harness these datasets and data services. This shift accompanies advances in hydrology education and the growth of web-based hydrology learning modules, but their capacity to utilize...

This study compares the U.S. National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at SNOTEL sites across the Western U.S. This was done to evaluate and identify opportunities for improving the modeling of snow in the NWM. SWE was obtained from SNOTEL sites, while SCAF was o...

The era of ”big data” promises to provide new hydrologic insights, and open web-based platforms are being developed and adopted by the hydrologic science community to harness these datasets and data services. This shift accompanies advances in hydrology education and the growth of web-based hydrology learning modules, but their capacity to utilize...

Flood inundation remains challenging to map, model, and forecast because it requires detailed representations of hydrologic and hydraulic processes. Recently, Continental‐Scale Flood Inundation Mapping (CFIM), an empirical approach with fewer data demands, has been suggested. This approach uses National Water Model forecast discharge with Height Ab...

Classical methods have severe limitations (such as being trapped in local optima, and the curse of dimensionality) to solve optimization problems. Evolutionary or meta-heuristic algorithms are currently favored as the tools of choice for tackling such complex non-linear reservoir operations. This paper evaluates the performance of an extended multi...

Population growth and socioeconomic changes in developing countries over the past few decades have created severe stresses on the available water resources across the world, particularly in arid and semiarid regions, which are predominant in Iran. Hence, the optimal management of water resources is imperative. Reservoir operation is a challenging p...

Reservoir systems are essential for water resources management. The application and development of optimization techniques for optimal reservoir operation is therefore a valuable undertaking. This paper presents a modified firefly algorithm (MFA) and applies it to optimally solve reservoir operation problems. Three well-known benchmark multireservo...

Bozorg Haddad et al. (2015) evaluated the performance of a water cycle algorithm (WCA) in the optimization of reservoir systems. First they applied the WCA to three mathematical benchmark test function problems—(1) Sphere, (2) Rosenbrock, and (3) Bukin6—and compared the results of the WCA to those of a genetic algorithm (GA). Then they studied two...

The main goal of this paper was to examine the behavior of two parameters of two-point hedging policy, including parameter A and parameter B which the former determines when hedging should be triggered and the latter controls when hedging should be stopped, to reduce the drawbacks of standard linear operation policy (SLOP) in a reservoir operation...

This paper presents the performance of developed firefly algorithm which is formed to be used in the problems where decision variables stem from each other. In this regard, the proposed algorithm so-called “DFAORO” is used to a benchmark multi-reservoir problem in continuous domain. So as to examine the results of DFAORO, linear programing (LP) and...

In the original paper the daily stream flow of Narmada and Mahandi river basin is predicted using least square support vector regression. The following notes by the discussers can be considered by the readers of the paper for further studies.