Articles | Volume 30, issue 2
https://doi.org/10.5194/npg-30-101-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
05 Apr 2023
Research article |
| 05 Apr 2023
| 05 Apr 2023
On parameter bias in earthquake sequence models using data assimilation
Related authors
Solid Earth, 11, 1333–1360, 2020
Related subject area
Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Solid earth, continental surface, biogeochemistry | Techniques: Simulation
An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model
Inhomogeneous precursor characteristics of rock with prefabricated cracks before fracture and its implication for earthquake monitoring
Magnitude correlations in a self-similar aftershock rates model of seismicity
Nonlin. Processes Geophys., 29, 53–75, 2022
Nonlin. Processes Geophys., 28, 379–407, 2021
Nonlin. Processes Geophys., 27, 1–9, 2020
Cited articles
Auligné, T., McNally, A., and Dee, D.:
Adaptive bias correction for satellite data in a numerical weather prediction system, Q. J. Roy. Meteor. Soc., 133, 631–642, 2007. a
Bertino, L., Evensen, G., and Wackernagel, H.:
Sequential data assimilation techniques in oceanography, Int. Stat. Rev., 71, 223–241, 2003. a
Burridge, R. and Knopoff, L.:
Model and theoretical seismicity, B. Seismol. Soc. Am., 57, 341–371, 1967. a
Cartwright, J. H., Hernández-García, E., and Piro, O.:
Burridge–Knopoff models as elastic excitable media, Phys. Rev. Lett., 79, 527–530, 1997. a
