Reformatting Data Positions

I have a global dataset where column A represents longitude, B represents latitude, C is a spinup value which can be ignored (even deleted) and columns D to DH are runoff values for the years 1901 to 2002. The rows extend down to 6510 (including the column headers, 6509 without). I've been trying to create a reformatted table based on this data, where longitude values are listed along row 1 and latitude values are listed in column A, with the corresponding runoff values for each year correctly repositioned into the spreadsheet according to this new 'format'; there will be 102 grids created (one for each year). The longitude values are currently not ordered and will need to be sorted (low to high) into position along row 1, without causing the runoff data to become unassigned to its associated longitude and latitude coordinates.

The second part is to then perform a linear interpolation of the reformatted data for each year's table so that the data is again reformatted' from 1.5-degrees to a 5-minute spatial resolution. This involves creating tables for each runoff year as before, but this time creating new values via application of a linear interpolation between each adjacent pair of existing values (in both the x and y direction - as the data are to be imagined as being on a geographical grid with coordinates). I've currently been trying to achieve this using Fortran, but have been getting nowhere as I'm completely new to this programming language, so I thought I'd try using Excel as I'm more familiar with this, although not sufficiently so to solve this alone!