An Enabling Software Framework For Monitoring and Modeling Hydro Geophysical Processes in The Critical Zone Across Different Spatial And Temporal Scales
One challenge with these tools is that they are not yet fully integrated and – because of their different target audiences – are non trivial to couple for non experts. Consequently, scientists spend large amounts of time implementing one-off solutions for data manipulation. We have developed a modular vertically integrated cloud based software framework which was designed from the ground up for effective site and process monitoring. This software framework (PAF – Predictive Assimilation Framework) is multitenant software and provides automation of data ingestion, processing and visualization of hydrological, geochemical and key geophysical (ERT/DTS) data.
The core organizational element of PAF is a project/user one in which capabilities available to users are controlled by a combination of available data and access permissions. All PAF capabilities (both data and processing, which is mostly done through python workflows) are exposed through APIs, making it easy to quickly add new components. One PAF capability which should be of interest for hydrogeophysical applications is the automation of electrical geophysical ingestion and processing and the ability for co analysis and visualization of the raw and processed data with other data of interest (e.g. soil temperature, soil moisture, precipitation).