This paper is concerned with the development of the multiquadric interpolation scheme to produce gridded fields of meteorological variables. The results of the application of this method to real data is compared with analysis from Gandin's Optimum Interpolation scheme. Like the optimum interpolation scheme, which uses covariance functions as the basis functions, the multiquadric scheme uses hyperboloid radial basis function to fit the scattered data to a uniform grid. This scheme produces superior analysis compared to optimum interpolation analysis
ABSTRACT: Bangladesh is a developing country with limited resources where global warming and subsequ...
A method of spatial interpolation for gridded climatic data using the distance-weight ed-average of ...
A new spectral-based approach is presented to find orthogonal patterns from gridded weather/climate ...
The method of multiquadric interpolation is described and compared to the Barnes and Cressman method...
A two-dimensional, multitvariate objective analysis scheme for simultaneous analysis of geopotential...
An objective analysis of daily rainfall over Maharashtra (India) by distance weighting function on a...
For statistical interpolation scheme of objective analysis, the weights of matrices are determined f...
In the optimum interpolation scheme, the weights for the observations are computed by solving a set ...
The "effective' distance between a grid point and observation point used for the anisotropic functio...
The autocorrelation function, structure function etc. of the wind field were computed at 850, 700 an...
In this paper, we report the development of a high resolution (10 X 10 Lat/Long) gridded daily rainf...
On the basis of a three year record of Radiosonde observations over Indian region, the autocorrelati...
To fulfill the demand from the research community, a high resolution (10 X 10 Lat/Long) gridded dail...
AbstractMost operational models in atmospheric physics, meteorology and climatology nowadays adopt s...
156-167The development of satellite observing systems (asynoptic observations) has led to the idea t...
ABSTRACT: Bangladesh is a developing country with limited resources where global warming and subsequ...
A method of spatial interpolation for gridded climatic data using the distance-weight ed-average of ...
A new spectral-based approach is presented to find orthogonal patterns from gridded weather/climate ...
The method of multiquadric interpolation is described and compared to the Barnes and Cressman method...
A two-dimensional, multitvariate objective analysis scheme for simultaneous analysis of geopotential...
An objective analysis of daily rainfall over Maharashtra (India) by distance weighting function on a...
For statistical interpolation scheme of objective analysis, the weights of matrices are determined f...
In the optimum interpolation scheme, the weights for the observations are computed by solving a set ...
The "effective' distance between a grid point and observation point used for the anisotropic functio...
The autocorrelation function, structure function etc. of the wind field were computed at 850, 700 an...
In this paper, we report the development of a high resolution (10 X 10 Lat/Long) gridded daily rainf...
On the basis of a three year record of Radiosonde observations over Indian region, the autocorrelati...
To fulfill the demand from the research community, a high resolution (10 X 10 Lat/Long) gridded dail...
AbstractMost operational models in atmospheric physics, meteorology and climatology nowadays adopt s...
156-167The development of satellite observing systems (asynoptic observations) has led to the idea t...
ABSTRACT: Bangladesh is a developing country with limited resources where global warming and subsequ...
A method of spatial interpolation for gridded climatic data using the distance-weight ed-average of ...
A new spectral-based approach is presented to find orthogonal patterns from gridded weather/climate ...