Earthquake Nowcasting with Deep Learning
نویسندگان
چکیده
We review previous approaches to nowcasting earthquakes and introduce new based on deep learning using three distinct models recurrent neural networks transformers. discuss different choices for observables measures presenting promising initial results a region of Southern California from 1950–2020. Earthquake activity is predicted as function 0.1-degree spatial bins time periods varying two weeks four years. The overall quality measured by the Nash Sutcliffe efficiency comparing deviation nowcast observation with variance over in each region. software available open source together preprocessed data USGS.
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ژورنال
عنوان ژورنال: GeoHazards
سال: 2022
ISSN: ['2624-795X']
DOI: https://doi.org/10.3390/geohazards3020011