David Silverman, P.E., Ph.D
Conact: david@jsa-eng.comCurrent Research Interests Education
M.Eng Civil Engineering University of California, Berkeley, May 1989
B.S. Civil Engineering Carnegie -Mellon University, May 1987
Received departmental senior research project award
University of Southern California (1989-1994) - graduate courses in civil engineering and artificial intelligence. Civil engineering course emphasis in hydraulic and coastal engineering. Involved in semester long project to study the sediment transport in the L.A. River. Two semester independent research on the use of fuzzy logic in design.
CalTrans certified 24-hour SWPPP training
Fellowships
Department of Education graduate student fellowship, USC, 1990
Registration
Memberships
PROFESSIONAL EXPERIENCE
TEACHING EXPERIENCE
PUBLICATIONS
Long term water supply forecasts for California using large-scale climatological parameters and artificial intelligence techniques
Effects of climate change on California's water supply and water quality
The use of artificial intelligence techniques and expert systems in the design of infrastructure
Ph.D Civil Engineering University of California, Los Angeles, June 1999
Major area: Water Resources Engineering
Minor area: Atmospheric Sciences
Research: Neural Network Analysis of Long Range Precipitation Forecasts
Advisor: John A. Dracup
The use of artificial intelligence data processing techniques to determine the interactions between surface and atmospheric conditions that influence the hydrological and climatological processes behind long lead rainfall forecasts.
Major Area: Construction Engineering & Management
Minor Areas: Hydrology & Hydraulic Engineering
Urban & Regional Planning
Research: The integration of GIS and expert systems to aid urban planning
Lady Davis Trust Fellowship, Technion University, Israel, 2001
Professional Engineer (Civil, California) - C58650
American Society of Civil Engineers
American Council of Engineering Consultants
Provided to the Israeli Meteorological Service initial forecasts over the State of Israel of annual precipitation using my forecasting to methodology to improve the operational seasonal forecast of precipitation anomaly issued routinely by the Israel Met Service.
1998 Instructor, UCLA for "Introduction to Computing for Civil Engineers"
1997 Teaching Assistant, UCLA for "Water Resources Engineering"
1988 Graduate Student Instructor, U.C.Berkeley for "Introduction to Surveying for Non-Engineers"
PRESENTATIONS
"Vulnerability of Water Resources in Eastern Mediterranean Ecosystems Due to Climate Change - An Integrated Approach to Sustainable Management," Pinhas Alpert and David Silverman, AMS Annual Meeting, Long Beach, CA, February 2003
" Season-ahead forecasting of precipitation using tele-connections", David Silverman, Israeli Water Commission workshop on Improvement of Israel's Water Resource Management through Detection and Forecasting of (Very) Long-Term Hydrologic and Climate Trends, Tel Aviv, Israel, April 2002
"Vulnerability of Water Resources in Eastern Mediterranean Ecosystems Due to Climate Change," David Silverman and Pinhas Alpert, GLOWA Annual Meeting, Munich, Germany, May 2002
"The Integration of DSM2-SJR into Climate Change Modeling for the San Joaquin Basin," David Silverman, Bay-Delta Modeling Forum, Asilomar, CA February 2001
"The Use of Climatic Data for Long Range Streamflow Forecasting," John A. Dracup and David Silverman, Hydro2000, Perth, Australia, 2000
"Neural network analysis of long range precipitation forecasts," David Silverman and John A. Dracup, Sixteenth Annual Pacific Climate Workshop, Catalina, CA 1999
"Artificial Neural Networks and long range precipitation prediction in California," David Silverman and John A. Dracup, American Geophysical Union 1998 Winter Conference, San Francisco, CA
"Teleconnections as estimators of California’s precipitation by Artificial Neural Networks," David Silverman and John A. Dracup, Fifteenth Annual Pacific Climate Workshop, Catalina, CA 1998
"The El Nino/Southern Oscillation and Neural Networks for long range precipitation predictions," David Silverman and John A. Dracup, Fourteenth Annual Pacific Climate Workshop, Catalina, CA 1997
"Risk and reliability issues in water supply management using long range forecasts in the upper Sea of Galilee catchment", David Silverman, (to be submitted to the Journal of Water Resources Planning & Management)
"Long Range Precipitation Forecast Indicators Determined through the Analysis of a Trained Neural Network", David Silverman, (to be submitted to the Journal of Applied Meteorology)
"Improvements to Statistical Downscaling using Principal Component Analysis", David Silverman and Norm L. Miller, (submitted to Geophysical Research Letters)
"Artificial Neural Network Forecasts of California's Precipitation", David Silverman and John A. Dracup, Experimental Long-Lead Forecast Bulletin, March 2000
"Data mining in the trained backpropagation network," David Silverman and John A. Dracup, edited book on Artificial Neural Networks in Hydrology, Water Science and Technology book series (Prof. V.P. Singh), published by Kluwer, 2000
"Artificial neural networks and long range precipitation prediction in California," David Silverman and John A. Dracup, Journal of Applied Meteorology, Jan 2000