Articles | Volume 3, issue 2
https://doi.org/10.5194/gmd-3-669-2010
https://doi.org/10.5194/gmd-3-669-2010
29 Nov 2010
 | 29 Nov 2010

Physically-based data assimilation

G. Levy, M. Coon, G. Nguyen, and D. Sulsky

Related subject area

Numerical methods
Modeling large‐scale landform evolution with a stream power law for glacial erosion (OpenLEM v37): benchmarking experiments against a more process-based description of ice flow (iSOSIA v3.4.3)
Moritz Liebl, Jörg Robl, Stefan Hergarten, David Lundbek Egholm, and Kurt Stüwe
Geosci. Model Dev., 16, 1315–1343, https://doi.org/10.5194/gmd-16-1315-2023,https://doi.org/10.5194/gmd-16-1315-2023, 2023
Short summary
A mixed finite-element discretisation of the shallow-water equations
James Kent, Thomas Melvin, and Golo Albert Wimmer
Geosci. Model Dev., 16, 1265–1276, https://doi.org/10.5194/gmd-16-1265-2023,https://doi.org/10.5194/gmd-16-1265-2023, 2023
Short summary
Multifidelity Monte Carlo estimation for efficient uncertainty quantification in climate-related modeling
Anthony Gruber, Max Gunzburger, Lili Ju, Rihui Lan, and Zhu Wang
Geosci. Model Dev., 16, 1213–1229, https://doi.org/10.5194/gmd-16-1213-2023,https://doi.org/10.5194/gmd-16-1213-2023, 2023
Short summary
Massively parallel modeling and inversion of electrical resistivity tomography data using PFLOTRAN
Piyoosh Jaysaval, Glenn E. Hammond, and Timothy C. Johnson
Geosci. Model Dev., 16, 961–976, https://doi.org/10.5194/gmd-16-961-2023,https://doi.org/10.5194/gmd-16-961-2023, 2023
Short summary
Parallelized domain decomposition for multi-dimensional Lagrangian random walk mass-transfer particle tracking schemes
Lucas Schauer, Michael J. Schmidt, Nicholas B. Engdahl, Stephen D. Pankavich, David A. Benson, and Diogo Bolster
Geosci. Model Dev., 16, 833–849, https://doi.org/10.5194/gmd-16-833-2023,https://doi.org/10.5194/gmd-16-833-2023, 2023
Short summary

Cited articles

Coon, M., Kwok, R., Levy, G., Pruis, M., Schreyer, H., and Sulsky, D.: Arctic Ice Dynamics Joint Experiment (AIDJEX) assumptions revisited and found inadequate, J. Geophys. Res., 112, C11S90, https://doi.org/10.1029/2005JC003393, 2007.
Dai, M., Arbetter, T. E., and Meier, W. N.: Data assimilation of sea-ice motion vectors: sensitivity to the parameterization of sea-ice strength, Ann. Glaciol., 44, 357–360, 2006.
Daley, R.: Atmospheric Data Analysis, Published by Cambridge University Press, ISBN: 0521458250, 472 pp., 1992.
Griffith, A. A.: The Phenomena of Rupture and Flow in Solids, Phil. Trans. Royal Soc. London. Series A, 221, 163–198, 1921.
Hoke, J. and Anthes, R.: The Initialization of Numerical Models by a Dynamic Relaxation Technique, Mon. Weather Rev., 104, 1551–1556, 1976.
Download