Chapter
Apr 26, 2012
Estimation of Radar Calibration Uncertainties Related to the Spatial Variability of Rainfall within a Single Radar Pixel — Statistical Analysis of Rainfall Data from a Dense Network of Rain Gauges
Authors: Lisbeth Pedersen [email protected] and Institute for Informatics and Mathematical Modelling, Technical University, Denmark, Bygning 321, 2800 Lyngby, Denmark, Niels Einar Jensen [email protected], and Henrik Madsen [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2008: Ahupua'A
Abstract
A total of 6 months of rainfall data sampled with nine rain gauges on a 500 x 500 meter area has been analysed in order to determine the variability of rainfall within such a small area. The area corresponds to that of a maximum pixel size of a Local Area Weather Radar (LAWR). To calibrate a LAWR, the rain depth from a number of events is used and the analysis is therefore carried out on a total of 29 events fulfilling certain criteria's. The variability is expressed with the coefficient of variation and found to vary from 3 % to 100 % depending on type of rainfall. This gives an uncertainty in that range if a post event specific calibration is performed with a single rain gauge.
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© 2008 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Calibration
- Climates
- Continuum mechanics
- Data analysis
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Environmental engineering
- Equipment and machinery
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Measurement (by type)
- Meteorology
- Methodology (by type)
- Motion (dynamics)
- Precipitation
- Radar
- Rainfall
- Research methods (by type)
- Solid mechanics
- Spatial analysis
- Spatial data
- Uncertainty principles
- Water and water resources
Authors
Affiliations
Lisbeth Pedersen [email protected] and Institute for Informatics and Mathematical Modelling, Technical University, Denmark, Bygning 321, 2800 Lyngby, Denmark
DHI, Gustav Wieds Vej 10, 8000 Aarhus, Denmark. E-mail: [email protected] and Institute for Informatics and Mathematical Modelling, Technical University, Denmark, Bygning 321, 2800 Lyngby, Denmark
DHI, Gustav Wieds Vej 10, 8000 Aarhus, Denmark. E-mail: [email protected]
Institute for Informatics and Mathematical Modelling, Technical University, Denmark, Bygning 321, 2800 Lyngby, Denmark. E-mail: [email protected]
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