HOURLY RAINFALL SYNTHESIS FOR A NETWORK

GENERATION OF SYNTHETIC HOURLY RAINFALL DATA FOR A NETWORK IS INVESTIGATED BECAUSE EXISTING MONTHLY STREAM-LOW MODELS ARE INADEQUATE AND BECAUSE WATERSHED MODELS ARE AVAILABLE TO ACCURATELY PREDICT STREAMFLOW GIVEN THE HOURLY RAINFALL DATA IN THE WATERSHED. THE STORM MODEL WAS BASED ON A MULTIVARIATE GUASSIAN MARKOV PROCESS. A FRACTIONAL POWER TRANSFORMATION NORMALIZED THE RAINFALL PROBABILITY DISTRIBUTIONS. ESTIMATION OF PARAMETERS WAS CARRIED OUT BY USING A COMBINATION OF NONLINEAR LEAST SQUARES AND PROBABILITY PLOTTING. THE MODEL REPRODUCED THE CHARACTERISTICS OF HOURLY RAINFALL DATA WITH REASONABLE ACCURACY. HOWEVER, SOME DEFICIENCIES IN COVARIANCE STRUCTURE AND SEASONAL DISTRIBUTION OCCURRED. THE DISTRIBUTION OF PEAK FLOWS AND ANNUAL VOLUMES FOR DRY CREEK NEAR CLOVERDALE, CALIFORNIA DERIVED FROM SYNTHETIC RAINFALL DATA COMPARED FAVORABLY WITH THE SAME VALUES DERIVED FROM HISTORIC RAINFALL DATA. /AUTHOR/

• Supplemental Notes:
  • Vol 97, No HY 9, PROC PAPER 8375, PP 1349-1366, 4 FIG,
• Authors:
  • Franz, D D
• Publication Date: 1971-9

Media Info

• Serial:
  • Journal of the Hydraulics Division
  • Publisher: American Society of Civil Engineers

Subject/Index Terms

• TRT Terms: Floods; Flow net; Hydraulics; Mathematical models; Nonlinear programming; Rain; Simulation; Statistical analysis; Stochastic processes; Weather forecasting
• Subject Areas: Data and Information Technology; Highways; Hydraulics and Hydrology;

Filing Info

• Accession Number: 00204388
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 25 1971 12:00AM