Journal article
Effect of Temporal Sampling on Inferred Rainfall Spatial Statistics
Journal of applied meteorology (1988), Vol.44(10), pp.1626-1633
10/01/2005
DOI: 10.1175/JAM2283.1
Abstract
Abstract On the basis of temporally sampled data obtained from satellites, spatial statistics of rainfall can be estimated. In this paper, the authors compare the estimated spatial statistics with their “true” or ensemble values calculated using 5 yr of 15-min radar-based rainfall data at a spatial domain of 512 km × 512 km in the central United States. The authors conducted a Monte Carlo sampling experiment to simulate different sampling scenarios for variable sampling intervals and rainfall averaging periods. The spatial statistics used are the moments of spatial distribution of rainfall, the spatial scaling exponents, and the spatial cross correlations between the sample and ensemble rainfall fields. The results demonstrated that the expected value of the relative error in the mean rain-rate estimate is zero for rainfall averaged over 5 days or longer, better temporal sampling produces average fields that are “less noisy” spatially, an increase in the sampling interval causes the sampled rainfall to be increasingly less correlated with the true rainfall map, and the spatial scaling exponent estimators could give a bias of 40% or less. The results of this study provide a basis for understanding the impact of temporal statistics on inferred spatial statistics.
Details
- Title: Subtitle
- Effect of Temporal Sampling on Inferred Rainfall Spatial Statistics
- Creators
- Mekonnen Gebremichael - IIHR—Hydroscience and Engineering, The University of Iowa, Iowa City, IowaWitold F Krajewski - IIHR—Hydroscience and Engineering, The University of Iowa, Iowa City, Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of applied meteorology (1988), Vol.44(10), pp.1626-1633
- DOI
- 10.1175/JAM2283.1
- ISSN
- 0894-8763
- eISSN
- 1520-0450
- Language
- English
- Date published
- 10/01/2005
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9983991978802771
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