SciPy Griddata 2d interpolation

Dear, I am doing 2-dimensional interpolation (time and altitude) using griddata. I am wondering how the default 2d interpolation method, say 'linear' works when dealing with my case. I changed the time difference (minus my reference) time to seconds/hours, but found that the interpolated outcome different. This is aimed to find out the how time difference and height difference between the data and interpolated point influence data selected to interpolate. So my question is for example, I want an interpolated point at 02 LST, 01 Jan 2001, at 200 metres, using data 1.5 h +- 02 LST, 01 Jan 2001, 100 m +- 200 metres (this is my ideal idea), how could I set the data used to interpolate at the aimed point. The reason why I am asking this is that I found when I got missing data along time axis an
 d/or altitude axis, the data used to interpolate will be strange. For example, still the same aimed interpolated point, when I do not have data around 200 metres at 2 or 3 LST, but have 100, 500 met
 res data at 2 LST and 200 metres data at 5 LST. How can I use the data at different altitudes at 2 LST to interpolated instead of using data at 200 metres at 5 LST. I also use a simple example, using 3 points data (a triangle) to interpolate another point in the triangle. But I cannot calculate the interpolated value. Anyways, hope that I have expressed my question clearly. Just wanna know the mechanism of 2d interpolation using grid data. 

Many thanks in advance,
Qinuo
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