A method of predicting parameters of an earthquake uses an array of ionosondes to scan an observed volume of an ionosphere located above a seismically active zone. The method includes monitoring ionograms provided by the array of ionosondes; detecting the presence of at least one seismic-induced irregularity (SII); determining a first predicted parameter corresponding to an epicenter location; and determining one or more predicted parameters selected from a group consisting of a magnitude, a time of occurrence, and a hypocenter depth. Algorithms for calculating the predicted parameters are presented in detail.

A method may receive measured data including a first time series of I component of signal data and a Q component of signal data. A method may execute a machine model using the measured data as input to generate model-generated data including a second time series of the I component of signal data and the Q component of signal data. A method may combine the measured data and the model-generated data into an augmented data. A method may generate a hybrid data product based on the augmented data.

A system for collecting and managing parametric data via an external communications network comprises one or more parametric stations operatively connected via the external network to a certification server and a payout server. Each parametric station is configured to receive parametric data from a remote source, determine that the parametric data satisfies a predetermined condition, and transmit the parametric data over the external network to the certification server in response to the parametric data satisfying the predetermined condition. The certification server is configured to generate a certification report based on the parametric data and a data model related to the remote source and transmit the generated certification report to the payout server. The payout server is configured to determine that terms of an associated contract are satisfied based on the certification report, and trigger a payout based on the terms that are satisfied based on the certification report.

Embodiments relate to data acquisition units or nodes and more specifically to seismic data acquisition units or nodes for use in data gathering for ambient noise tomography (ANT). Some embodiments relate to a method for data acquisition, and systems employing one or more data acquisition units. Some embodiments relate to systems comprising one or more satellites in communication with one or more data acquisition units for communication to a remote server, for remote storage, and processing for creating sub-surface tomography images accessible to client devices.