Let me suggest on you to go direct to a stronger program that shows time series such as SPSS. If you entered the data to MS Excel, it can easily be imported by SPSS.
If you can arrange your excel data in this x, y, z1, z2, ... , zn, c1, c2, ... , cn formated. These data can overlaid for spatial and temporal analysis.
Like I said, you must arrange the excel data in the above format raw by raw in excel. For example; if you want to analyse Sea Surface Temperature (SST) obviously you'll have Longitude (x), latitude (y), depth of temperature probe (z1), time (t1), temperature (c1). This is 1 data per row. You should design your experiment accordingly i.e., how many sampling stations of SST do need to represent your area of interest (AOI), let say 1 sampling station/1 NM3 and its up to your sampling design. What do you want to analyse, what is your research objective etc.
Definitely you'll need more stations to represent your AOI, thus these series of sampling data must be arrange according to the above format, row by row. Remember all data must be in same format i.e., Meter. Therefor it can be overlaid onto a based map.
Then this excel data can be processes using Cartographic Aided Computer (CAC) / GIS software to export spatial output in any format you like i.e., .grd etc. These format can be exchangeable using software.