The Global Positioning System (GPS) has long been used as a scientific tool, and it has turned into a very powerful
technique in domains like geophysics, where it is commonly used to study the dynamics of a large variety of
systems, like glaciers, tectonic plates and others. In these cases, the large distances between receivers as well
as their remote locations usually pose a challenge for data transmission. The standard format for scientific
applications is a compressed RINEX file - a raw data format which allows post-processing. Its associated
compression algorithm is based on a pre-processing stage followed by a commercial data compressor. In this
paper we present a new compression method which can achieve better compression ratios with a faster operation.
We have improved the pre-compression stage, split the resulting file into two, and applied the most appropriate
compressor to each file. FAPEC, a highly resilient entropy coder, is applied to the observables file. The results
obtained so far demonstrate that it is possible to obtain average compression gains of about 35% with respect
to the original compressor.