State Water Resources Research Institute Program

Project ID: 2007FL202B
Title: In-Filling Missing Daily Rain Gauge Data Using NEXRAD Rainfall Data
Project Type: Research
Start Date: 3/01/2009
End Date: 2/28/2010
Congressional District: 19
Focus Categories: Hydrology, Methods, Models
Keywords: NEXRAD, Rain gauge data, South Florida Water Management District, artificial neural networks
Principal Investigator: Teegavarapu, Ramesh
Federal Funds: $ 10,000
Non-Federal Matching Funds: $ 33,125
Abstract: Deterministic and stochastic weighting methods are the most frequently used methods for infilling rainfall values at a gage based on values recorded at all other available recording gages or other sources. Radar (NEXRAD) data is now acknowledged as a viable source for infilling of missing rainfall records. Several issues that affect the infilling methods include: the historical rain gage and radar data, spatial and temporal variability of rainfall, radar-rain gage relationships, selection of spatial extent of radar data. The main objective of the proposed study is to develop a method that would be used to in-fill the historical daily missing rain gauge data. The developed method would use NEXRAD rainfall data, for this purpose, and it will be applied to the existing available data and its performance would be evaluated and assessed. Upon successful development and verification of the model, the model will be used in filling the missing daily rain data for rain gauge stations. The in-filling method using NEXRAD data will also be compared with traditional methods that use rain gage data for infilling. Missing data at 368 rain gages will be in-filled using the best approach developed in the proposed research. The proposed research is highly relevant and critical to a number of water resources management agencies (e.g. South Florida Water Management District) that currently use NEXRAD based rainfall data for modeling and management of day-to-day operations of water resources systems. The products derived from the proposed study are expected to be tested for real-time use of NEXRAD-based rainfall data at South Florida Water Management District.

Progress/Completion Report, 2007, PDF
Progress/Completion Report, 2008, PDF
Progress/Completion Report, 2009, PDF
Progress/Completion Report, 2010, PDF

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