Articles | Volume 12, issue 6
https://doi.org/10.5194/gmd-12-2571-2019
https://doi.org/10.5194/gmd-12-2571-2019
Methods for assessment of models
 | 
28 Jun 2019
Methods for assessment of models |  | 28 Jun 2019

Quantitative stratigraphic analysis in a source-to-sink numerical framework

Xuesong Ding, Tristan Salles, Nicolas Flament, and Patrice Rey

Related authors

Flexural isostatic response of continental-scale deltas to climatically driven sea level changes
Sara Polanco, Mike Blum, Tristan Salles, Bruce C. Frederick, Rebecca Farrington, Xuesong Ding, Ben Mather, Claire Mallard, and Louis Moresi
Earth Surf. Dynam., 12, 301–320, https://doi.org/10.5194/esurf-12-301-2024,https://doi.org/10.5194/esurf-12-301-2024, 2024
Short summary

Related subject area

Climate and Earth system modeling
A radiative–convective model computing precipitation with the maximum entropy production hypothesis
Quentin Pikeroen, Didier Paillard, and Karine Watrin
Geosci. Model Dev., 17, 3801–3814, https://doi.org/10.5194/gmd-17-3801-2024,https://doi.org/10.5194/gmd-17-3801-2024, 2024
Short summary
Leveraging regional mesh refinement to simulate future climate projections for California using the Simplified Convection-Permitting E3SM Atmosphere Model Version 0
Jishi Zhang, Peter Bogenschutz, Qi Tang, Philip Cameron-smith, and Chengzhu Zhang
Geosci. Model Dev., 17, 3687–3731, https://doi.org/10.5194/gmd-17-3687-2024,https://doi.org/10.5194/gmd-17-3687-2024, 2024
Short summary
Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0
Xiaohui Zhong, Xing Yu, and Hao Li
Geosci. Model Dev., 17, 3667–3685, https://doi.org/10.5194/gmd-17-3667-2024,https://doi.org/10.5194/gmd-17-3667-2024, 2024
Short summary
Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally refined global aerosol–climate model
Taufiq Hassan, Kai Zhang, Jianfeng Li, Balwinder Singh, Shixuan Zhang, Hailong Wang, and Po-Lun Ma
Geosci. Model Dev., 17, 3507–3532, https://doi.org/10.5194/gmd-17-3507-2024,https://doi.org/10.5194/gmd-17-3507-2024, 2024
Short summary
cfr (v2024.1.26): a Python package for climate field reconstruction
Feng Zhu, Julien Emile-Geay, Gregory J. Hakim, Dominique Guillot, Deborah Khider, Robert Tardif, and Walter A. Perkins
Geosci. Model Dev., 17, 3409–3431, https://doi.org/10.5194/gmd-17-3409-2024,https://doi.org/10.5194/gmd-17-3409-2024, 2024
Short summary

Cited articles

Abreu, V., Pederson, K., Neal, J., and Bohacs, K.: A simplified guide for sequence stratigraphy: nomenclature, definitions and method, in: William Smith Meeting, 22–23 September 2014, The Geological Society, Burlington House, London, Paper number: 4, 2014. a
Ainsworth, B. R., McArthur, J. B., Lang, S. C., and Vonk, A. J.: Quantitative sequence stratigraphy, AAPG Bull., 102, 1913–1939, 2018. a
Bond, G. C., Kominz, M. A., Steckler, M. S., and Grotzinger, J. P.: Role of thermal subsidence, flexure, and eustasy in the evolution of early Paleozoic passive-margin carbonate platforms, in: Controls on Carbonate Platform and Basin Development, SEPM, Special Publication, 44, 39–61, 1989. a
Braun, J.: The many surface expressions of mantle dynamics, Nat. Geosci., 3, 825–833, 2010. a
Burgess, P. M.: RESEARCH FOCUS: The future of the sequence stratigraphy paradigm: Dealing with a variable third dimension, Geology, 44, 335–336, 2016. a, b
Download
Short summary
This work introduced a quantitative stratigraphic framework within a source-to-sink numerical code, pyBadlands, and evaluated two stratigraphic interpretation techniques. This quantitative framework allowed us to quickly construct the strata formations and automatically produce strata interpretations. We further showed that the accommodation succession method, compared with the trajectory analysis method, provided more reliable interpretations as it is independent of time-dependent processes.