US corporate technology transfer in hydrometeorology

Corporate technology transfer by US non-governmental organizations with the substantial involvement of university faculty is a new activity in hydrometeorology. The issues involved in such US corporate technology transfers are discussed by way of two examples selected from the activities of the Hydrologic Research Center, a non-profit-making public-benefit research and technology transfer corporation in San Diego, California, USA. The projects discussed are: (a) the development and implementation of a robust state estimator for national use within the US National Weather Service River Forecast System, and (b) the development and implementation of a prototype multi-sensor rainfall forecasting system for the Panama Canal Authority. The issues covered include technical ones associated with improving theoretical formulations for robust operational performance, those associated with the necessary reciprocal education between modellers and field personnel, and the accommodation of the educational objectives of participating postdoctoral associates.

[1]  D. Ramírez,et al.  ANALYSIS OF UNCERTAINTY , 1998 .

[2]  W. Back,et al.  Opportunities in the Hydrologic Sciences , 1991 .

[3]  Konstantine P. Georgakakos,et al.  A hydrologically useful station precipitation model: 1. Formulation , 1984 .

[4]  Real-time, statistically linearized, adaptive flood routing , 1982 .

[5]  K. Georgakakos,et al.  A two‐dimensional stochastic‐dynamical quantitative precipitation forecasting model , 1990 .

[6]  E. L. Peck,et al.  Catchment modeling and initial parameter estimation for the National Weather Service River Forecast System , 1976 .

[7]  Dafydd Gibbon,et al.  1 User’s guide , 1998 .

[8]  P. Waggoner.  Climate change and US water resources. , 1990 .

[9]  Uncertainty in Vertically Integrated Liquid Water Content due to Radar Reflectivity Observation Error , 1995 .

[10]  Konstantine P. Georgakakos,et al.  A hydrologically useful station precipitation model: 2. Case studies , 1984 .

[11]  F. Mesinger.  Improvements in Quantitative Precipitation Forecasts with the Eta Regional Model at the National Centers for Environmental Prediction: The 48-km Upgrade , 1996 .

[12]  Witold F. Krajewski,et al.  A model for real-time quantitative rainfall forecasting using remote sensing: 1. Formulation , 1994 .

[13]  Harihar Rajaram,et al.  Recursive parameter estimation of hydrologic models , 1989 .

[14]  Konstantine P. Georgakakos,et al.  Operational Rainfall Prediction on Meso‐γ Scales for Hydrologic Applications , 1996 .

[15]  T. Hamill.  The National Weather Service River Forecast System , 1999 .

[16]  D. Bae,et al.  Operational forecasting with real-time databases , 1995 .

[17]  Konstantine P. Georgakakos.  Covariance propagation and updating in the context of real-time radar data assimilation by quantitative precipitation forecast models , 2000 .

[18]  Konstantine P. Georgakakos,et al.  On improved hydrologic forecasting — Results from a WMO real-time forecasting experiment , 1990 .

[19]  Roman Krzysztofowicz.  Why should a forecaster and a decision maker use Bayes Theorem , 1983 .

[20]  Konstantine P. Georgakakos,et al.  Real‐Time Flash Flood Prediction , 1987 .

[21]  Peter K. Kitanidis,et al.  Real‐time forecasting with a conceptual hydrologic model: 1. Analysis of uncertainty , 1980 .

[22]  W. Krajewski,et al.  Statistical-microphysical causes of rainfall variability in the tropics , 1996 .

[23]  Konstantine P. Georgakakos,et al.  Quantitative Precipitation Forecast Techniques for Use in Hydrologic Forecasting , 1984 .

[24]  Konstantine P. Georgakakos,et al.  On the establishment of a US national center for hydrologic research and technology transfer , 1995 .

[25]  Konstantine P. Georgakakos,et al.  A generalized stochastic hydrometeorological model for flood and flash‐flood forecasting: 2. Case studies , 1986 .

[26]  Jeremy D. Safran.  Closing the gap between theory and practice. , 1988 .

[27]  Efi Foufoula-Georgiou,et al.  Real Time Coupling of Hydrologic and Meteorological Models for Flood Forecasting , 1991 .

[28]  Konstantine P. Georgakakos,et al.  A generalized stochastic hydrometeorological model for flood and flash‐flood forecasting: 1. Formulation , 1986 .

[29]  P. Kitanidis,et al.  Real‐time forecasting with a conceptual hydrologic model: 2. Applications and results , 1980 .

[30]  Arthur Gelb,et al.  Applied Optimal Estimation , 1974 .

[31]  I. Rodríguez‐Iturbe,et al.  Random Functions and Hydrology , 1984 .