These gradients are produced on the same data basis as the Vienna Mapping Functions 3 (VMF3) (Landskron and Böhm in J Geod, 2017.), so they can also be regarded as the VMF3 gradients as they are fully consistent with each other. ) and also for new, higher-order gradient models. Using ray-tracing through Numerical Weather Models (NWMs), we determined discrete gradient values referred to as GRAD for VLBI observations, based on the standard gradient model by Chen and Herring (J Geophys Res 102(B9):20489-20502, 1997. Apart from estimating the gradients within the data analysis, which has become common practice in space geodetic techniques, there is also the possibility to determine the gradients beforehand from different data sources than the actual observations. So-called horizontal troposphere gradients are generally utilized for modeling such azimuthal variations and are particularly required for observations at low elevation angles. Missing or incorrect consideration of azimuthal asymmetry of troposphere delays is a considerable error source in space geodetic techniques such as Global Navigation Satellite Systems (GNSS) or Very Long Baseline Interferometry ( VLBI). Refined discrete and empirical horizontal gradients in VLBI analysis We describe the software development process and outline the software architecture. Also, it needs to be capable of processing observations from a fully deployed network of VLBI2010 stations in a reasonable time. On the other hand it should be reliable and possess production quality for processing standard VLBI sessions. The software should be flexible and modular to implement models and estimation techniques that currently exist or will appear in future. We formulate the main goals of the software. In this paper we give a conceptual overview of the new software. It will have the capabilities of the current system as well as incorporate new models and data analysis techniques. The new software will replace CALC/SOLVE and many related utility programs. We present an overview of a new VLBI analysis software under development at NASA GSFC. Development of a New VLBI Data Analysis Softwareīolotin, Sergei Gipson, John M.
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