1979
DOI: 10.1016/0022-1694(79)90012-x
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Areal interpolation of rainfall with a double Fourier series

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Cited by 10 publications
(5 citation statements)
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“…The deformed surface of each side of the measurement plane was measured with a laser scanning profilometer along the cross-section with a measurement spacing of 100 μm in the thickness direction and 200 μm in the width direction, so that there were roughly 190,000 data points for each surface. Both sides of the cut surface are averaged on a common grid, and the average surface is fit with a smooth bivariate Fourier series [17]. A level of smoothing is determined by choosing fitting parameters during data reduction.…”
Section: Methodsmentioning
confidence: 99%
“…The deformed surface of each side of the measurement plane was measured with a laser scanning profilometer along the cross-section with a measurement spacing of 100 μm in the thickness direction and 200 μm in the width direction, so that there were roughly 190,000 data points for each surface. Both sides of the cut surface are averaged on a common grid, and the average surface is fit with a smooth bivariate Fourier series [17]. A level of smoothing is determined by choosing fitting parameters during data reduction.…”
Section: Methodsmentioning
confidence: 99%
“…Some of these are reviewed by Hall and Barclay [1975], although others have been proposed since then [cf. Thorpe et al, 1979;Bethlamy, 1976;Pande et al, 1978].Attempts to evaluate and compare the different methods are much more rare. This is understandable for techniques that estimate spatial averages because of the lack of experimentally measured areal values.…”
mentioning
confidence: 99%
“…Some of these are reviewed by Hall and Barclay [1975], although others have been proposed since then [cf. Thorpe et al, 1979;Bethlamy, 1976;Pande et al, 1978].…”
mentioning
confidence: 99%
“…Areal interpolation methods transfer the discrete data to continuous data by constructing the quantity relationship between the target zone and source zones according to their spatial relationships (e.g., areal weighting, distance weighting) or some ancillary information (e.g., land use and land cover classes) [16]. This method has been widely applied to generate the surface data of rainfall and temperature [17,18]. The statistical modeling method is based on a functional relationship between dependent variables and independent variables.…”
Section: Introductionmentioning
confidence: 99%