Publication Name: AEGC 2021
Authors: Nigel Rees, Sheng Wang, Ben Evans, et al.
Date Published: September 2021
Number of Pages: 4
Abstract:
MagnetoTelluric (MT) time series datasets are expensive to acquire, can be high volume (100s of terabytes), and the time taken to publish (measured from collection to release) often takes more than two years. Time series datasets have been notoriously hard to access: most data providers only make derivative MT transfer functions (EDI files) and model outputs accessible online. Hence, MT practitioners can be reliant on the data processing from raw data to be conducted by others, which may or may not meet their target depth or processing requirements.