This paper considers the sampling of rainfall and discharge processes both in time and in space and links the sampling problem to basin and rainfall characteristics. The effectiveness of different sampling strategies is measured by the variance of the error in estimating either total or peak of streamflow from a single storm event. This is related to the rainfall and basin rainfall-discharge properties through parameterizations of these processes. Rainfall is modeled as a collection of rain cells which occur randomly in space and time and has parameters which define the probability of occurrence of rain cells in space and time and the spread of rainfall due to a cell. Discharge from rainfall is parameterized in terms of the fluvial geomorph...
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Civil Engineering, 1975Vita.Bib...
This paper describes a rainfall-runoff simulation study, conducted in a laboratory to investigate su...
Precipitation data, one of the most important input required in hydrological modeling and forecastin...
This paper considers the joint sampling of the rainfall and streamflow processes. The sampling frequ...
Accurate rainfall measurements are critical to river flow predictions. Areal and gauge rainfall meas...
Accurate rainfall measurements are critical to river flow predictions. Areal and gauge rainfall meas...
Retrieving precipitation data from raingauge network is a classical and common practice in hydrology...
The objective of this study is to find the appropriate number and location of raingauges for a river...
A stochastic model of the microstructure of rainfall is used to derive explicit expressions for the ...
A Monte Carlo study of a physically based distributed-parameter hydrologic model is described. The c...
A stochastic model of the microstructure of rainfall is used to derive explicit expressions for the ...
Urban catchments are typically characterised by a more flashy nature of the hydrological response co...
We examine the hypothesis that basins characterized by (1) marked spatial variability in precipitati...
For the implementation of lumped conceptual models in flood forecasting, point precipitation time se...
Abstract. Practicing hydrologists are faced with the problems of selecting the appropriate probabili...
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Civil Engineering, 1975Vita.Bib...
This paper describes a rainfall-runoff simulation study, conducted in a laboratory to investigate su...
Precipitation data, one of the most important input required in hydrological modeling and forecastin...
This paper considers the joint sampling of the rainfall and streamflow processes. The sampling frequ...
Accurate rainfall measurements are critical to river flow predictions. Areal and gauge rainfall meas...
Accurate rainfall measurements are critical to river flow predictions. Areal and gauge rainfall meas...
Retrieving precipitation data from raingauge network is a classical and common practice in hydrology...
The objective of this study is to find the appropriate number and location of raingauges for a river...
A stochastic model of the microstructure of rainfall is used to derive explicit expressions for the ...
A Monte Carlo study of a physically based distributed-parameter hydrologic model is described. The c...
A stochastic model of the microstructure of rainfall is used to derive explicit expressions for the ...
Urban catchments are typically characterised by a more flashy nature of the hydrological response co...
We examine the hypothesis that basins characterized by (1) marked spatial variability in precipitati...
For the implementation of lumped conceptual models in flood forecasting, point precipitation time se...
Abstract. Practicing hydrologists are faced with the problems of selecting the appropriate probabili...
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Civil Engineering, 1975Vita.Bib...
This paper describes a rainfall-runoff simulation study, conducted in a laboratory to investigate su...
Precipitation data, one of the most important input required in hydrological modeling and forecastin...