In this study data of multifrequency, polarimetric and interferometric airborne “Experimental Synthetic Aperture Radar (E-SAR)” were evaluated and analysed to derive land use information, surface soil moisture, vegetation parameters and topographic information after a standardized processing scheme. The experiments were integrated in two projects of hydrologic and solute transport modelling and...

The uncertainty of the hydrologic risk of flood related hydraulic structures is determined by estimating the variance of the risk of failure based on the methods of moments (MOM), probability weighted moments (PWM), and maximum likelihood (ML) assuming that the underlying model is the Gumbel distribution. The derived variances of the risk based on the three estimation methods are functions of s...

Stochastic simulation and forecasting of hydroclimatic processes, such as precipitation and streamflow, are vital tools for risk-based management of water resources systems. Stochastic hydrology has a long and rich history in this area. The traditional approaches have been based on mathematical models with assumed or derived structure representing the underlying mechanisms and processes involve...

Introduction Water resources systems management is directly influenced by streamflow forecasting. It is therefore necessary to develop appropriate and applicable models for streamflow forecasting, especially in the low-flow context. Both stochastic models and artificial intelligence based models are widely used for simulation and forecasting of hydrologic time series. The literature shows that ...

In this study, a hands-on modeling tool is developed for students in civil engineering and earth science disciplines to help them learn the fundamentals of hydrologic processes and basic concepts of model calibration and sensitivity analysis, and practice conceptual thinking in solving and analysis of engineering problems. This modeling tool aims to provide an interdisciplinary application-orie...

Hydrologic models can be categorized as being either Newtonian or Darwinian in nature. The Newtonian approach requires a thorough understanding of the individual physical processes acting in a watershed in order to build a detailed hydrologic model based on the conservation equations. The Darwinian approach seeks to explain the behavior of a hydrologic system as a whole by identifying simple an...

Large-scale operational hydrologic models are essential tools in support of multiple water resource applications such as flood control, navigation, irrigation, and habitat management, etc., at the regional or continental scales. These models, unlike micro scale watershed models, are defined over large areas (>10 km) and long time scales (typically for use over monthly and annual or longer time ...

Many of the scientific and societal challenges in understanding and preparing for global environmental change rest upon our ability to understand and predict the water cycle change at large river basin, continent, and global scales. However, current large-scale land models (as a component of Earth System Models, or ESMs) do not yet reflect the best hydrologic process understanding or utilize th...

[1] The science of hydrology is on the threshold of major advances, driven by new hydrologic measurements, new methods for analyzing hydrologic data, and new approaches to modeling hydrologic systems. Here I suggest several promising directions forward, including (1) designing new data networks, field observations, and field experiments, with explicit recognition of the spatial and temporal het...

Understanding regional-scale water resource systems requires understanding coupled hydrologic and climate interactions. The traditional approach in the hydrologic sciences and engineering fields has been to either treat the atmosphere as a forcing condition on the hydrologic model, or to adopt a specific hydrologic model design in order to be interoperable with a climate model. We propose here ...