The Inverse Distance Weighted interpolation method and error propagation mechanism – creating a DEM from an analogue topographical map

The paper introduces a kind of inverse distance weighted interpolation theoretical derivation and its solving way. The basic principle of this method is that to use known information limited data were interpolated to the unknown information for point, through the obtained interpolation point value to calculate the new interpolation point value. Thus, it is solved that the problem that limited number of temperature points can not be comprehensive description of temperature field, and the method is applied in the process of solving the unknown temperature points in the two dimensional temperature field. The characteristics of this method are simple, practical, less amount of calculation.

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The Ocean Temperature Reconstruction of Center Tropical Cyclone Based on Argo

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.864-867.2171 ◽

2013 ◽

Vol 864-867 ◽

pp. 2171-2174

Author(s):

Jiong Zhu ◽

Jian Cheng Kang

Keyword(s):

Surface Temperature ◽

Sea Surface Temperature ◽

Interpolation Method ◽

Temperature Reconstruction ◽

Sea Surface ◽

Weighted Interpolation ◽

Distance Weighted ◽

Inverse Distance Weighted Interpolation ◽

Inverse Distance ◽

Upper Boundary

There is a correlation between sea surface temperature of the upper boundary waters and the intensity of typhoon. This paper analyzes the use of Argo float data and using inverse distance weighted interpolation method to calculate its internal regional sea surface temperature, when typhoon and other data were compared and error analysis. The results showed that: the method is reliable. When you select a point closer distance calculation and spatial distribution of Argo floats as closely as possible, the weight coefficients taken 2, known buoy number is 4-6, the relative error of calculated is less than 0.4%, RMSE error is less than 1.2 in the 0-600m depth layer

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Interpolation of Daily Temperature in Finland

Hydrology Research ◽

10.2166/nh.2003.0015 ◽

2003 ◽

Vol 34 (5) ◽

pp. 413-426 ◽

Cited By ~ 3

Author(s):

Antti Taskinen ◽

Hannu Sirviö ◽

Bertel Vehviläinen

Keyword(s):

Daily Temperature ◽

Alternative Methods ◽

Weighted Interpolation ◽

Inverse Distance Weighted ◽

Distance Weighted ◽

Inverse Distance Weighted Interpolation ◽

Temperature Interpolation ◽

Forecasting System ◽

The Difference ◽

Inverse Distance

The present approach for daily temperature interpolation of the Watershed Simulation and Forecasting System of the Finnish Environment Institute is based on the inverse distance weighted interpolation. In order to improve the calculation, three alternative methods were tested: 1) modified inverse distance weighted model, 2) regression with dummy variables for taking into account time and 3) regression equation calibrated for each day. The regression model calibrated for each day proved to be the most promising model. By average, the difference between the accuracy of it and the inverse distance weighted methods wasn't big but some indication was found that in single cases it can make a difference. The estimated parameters were found to have realistic physical meanings.

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