Cite CSDMS

Cite CSDMS

Below you will find references to cite when referring to or making use of CSDMS tools.

CSDMS

• Hutton, E.W.H., Piper, M.D., Peckham, S.D., Overeem, I., Kettner, A.J., and Syvitski, J.P.M., 2014. Building Sustainable Software - The CSDMS Approach. arXiv:1407.4106. https://arxiv.org/abs/1407.4106.
• Syvitski, J.P.M., Hutton, E.W.H., Piper, M.D., Overeem, I., Kettner, A.J., and Peckham, S.D., 2014. Plug and play component modeling - the CSDMS2.0 approach. In: International Environmental Modelling and Software Society (IEMSs). D.P. Ames, N.W.T. Quinn, A.E. Rizzoli (Eds.), 7th Intl. Congress on Env. Modeling and Software, San Diego, California, USA. https://scholarsarchive.byu.edu/iemssconference/2014/Stream-B/4/.
• Overeem, I., Berlin, M.M., and Syvitski, J.P.M., 2013. Strategies for integrated modeling: The community surface dynamics modeling system example. Environmental Modelling & Software, 39, 314-321. https://doi.org/10.1016/j.envsoft.2012.01.012
• Campbell, K., Overeem, I., Berlin, M., 2013. Taking it to the Streets: the Case for Modeling in the Geosciences Undergraduate Curriculum. Computers and Geosciences, 53, 123-128. https://doi.org/10.1016/j.cageo.2011.09.006

BMI

• den Haan, R.J., van der Voort, M.C., Baart, F., Berends, K.D., van den Berg, M.C., Straatsma, M.W., Geenen, A.J.P., and Hulscher, S.J.M.H., 2020. The Virtual River Game: Gaming using models to collaboratively explore river management complexity. Journal of Environmental Modelling and Software. doi:10.1016/j.envsoft.2020.104855
• Hoch, J.M., Eilander, D., Ikeuchi, H., Baart, F., and Winsemius, H.C., 2019. Integrating large-scale hydrology and hydrodynamics for nested flood hazard modelling from the mountains to the coast. Natural Hazards and Earth System Sciences Discussions. doi:10.5194/nhess-2019-75
• Hutton, E.W.H., Piper, M.D., and Tucker, G.E., 2020. The Basic Model Interface 2.0: A standard interface for coupling numerical models in the geosciences. JOSS. https://doi.org/10.21105/joss.02317.
• Iwanaga, T., Partington, D., Ticehurst, J., Croke, B.F.W., and Jakeman, A.J., 2020. A socio-environmental model for exploring sustainable water management futures: Participatory and collaborative modelling in the Lower Campaspe catchment. Journal of Hydrology: Regional Studies. doi:10.1016/j.ejrh.2020.100669
• Wang, K., Jafarov, E., and Overeem, I., 2020. Sensitivity evaluation of the Kudryavtsev permafrost model. Journal of Science of the Total Environment. doi:10.1016/j.scitotenv.2020.137538
• Peckham, S.D., Hutton, E.W.H., and Norris, B., 2013. A component-based approach to integrated modeling in the geosciences: The design of CSDMS. Computers & Geosciences, 53, 3-12. https://doi.org/10.1016/j.cageo.2012.04.002.

PyMT

• Ratliff, K.M., Hutton, E.H.W., and Murray, A.B., 2018. Exploring Wave and Seal-Level Rise Effects on Delta Morphodynamics with a Coupled River-Ocean Model. JGR Earth Surface, October 2018. doi:10.1029/2018JF004757
• Wang, K., Jafarov, E., and Overeem, I., 2020. Sensitivity evaluation of the Kudryavtsev permafrost model. Journal of Science of the Total Environment, June 2020. doi:10.1016/j.scitotenv.2020.137538

Landlab

• Barnhart, K.R., Hutton, E.W.H., Tucker, G.E., Gasparini, N.M., Istanbulluoglu, E., Hobley, D.E.J., Lyons⁠, N.J., Mouchene, M., Nudurupati, S.S., Adams, J.M., and Bandaragoda, C. (2020) Short communication: Landlab 2.0: A software package for Earth surface dynamics. Earth Surface Dynamics, 8, 379–397, https://doi.org/10.5194/esurf-8-379-2020.
• Hobley, D. E., Adams, J. M., Nudurupati, S. S., Hutton, E. W., Gasparini, N. M., Istanbulluoglu, E., & Tucker, G. E. (2017) Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics. Earth Surface Dynamics. https://doi.org/10.5194/esurf-5-21-2017.

Landlab Components, Tools, and Packages

• Adams, J.M., Gasparini, N.M., Hobley, D.E.J., Tucker, G.E., Hutton, E.W.H., Nudurupati, S.S., and Istanbulluoglu, E. The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds. Geoscientific Model Development, 2017, doi:10.5194/gmd-10-1645-2017
• Barnhart, K. R., Glade, R. C., Shobe, C. M., and Tucker, G. E. (2019) Terrainbento 1.0: a Python package for multi-model analysis in long-term drainage basin evolution. Geosci. Model Dev., v. 12, p. 1267-1297, doi:10.5194/gmd-12-1267-2019.
• Barnhart, K. R., Hutton, E. W., Gasparini, N. M., & Tucker, G. E. (2018). Lithology: A Landlab submodule for spatially variable rock properties. J. Open Source Software, 3(30), 979, doi:10.21105/joss.00979
• Barnhart, K.R., Hutton, E., and Tucker, G.E. (2019) umami: a Python package for Earth surface dynamics objective function construction, Journal of Open Source Software, 4(42), 1776, doi:10.21105/joss.01776.
• Litwin, D.G., Tucker, G.E., Barnhart, K.R., and Harman, C.J. (2020) GroundwaterDupuitPercolator: A Landlab component for groundwater flow, Journal of Open Source Software, 5(46), 1935, https://doi.org/10.21105/joss.01935.
• Lyons, N.J., Albert, J.S., and Gasparini, N.M. (2020). SpeciesEvolver: A Landlab component to evolve life in simulated landscapes. Journal of Open Source Software, 5(46), 2066, https://doi.org/10.21105/joss.02066.
• Pfeiffer, A.M., Barnhart, K.R., Czuba, J.A., and Hutton, E.W.H. (2020). NetworkSedimentTransporter: A Landlab component for bed material transport through river networks. Journal of Open Source Software, 5(53), 2341, https://doi.org/10.21105/joss.02341.
• Shobe, C.M., Tucker, G.E., and Barnhart, K.R. The SPACE 1.0 model: a Landlab component for 2-D calculation of sediment transport, bedrock erosion, and landscape evolution. Geoscientific Model Development, 2017, doi:10.5194/gmd-10-4577-2017
• Tucker, G.E., Hobley, D.E.J., Hutton, E., Gasparini, N.M., Istanbulluoglu, E., Adams, J.M., and Nudurupati, S.S. (2016) CellLab-CTS 2015: Continuous-time stochastic cellular automaton modeling using Landlab. Geoscientific Model Development., v. 9, p. 823-839, https://doi.org/10.5194/gmd-9-823-2016

Standard Names

• Peckham, S.D., 2014. The CSDMS Standard Names: Cross-Domain Naming Conventions for Describing Process Models, Data Sets and Their Associated Variables. In: International Environmental Modelling and Software Society (IEMSs). D.P. Ames, N.W.T. Quinn, A.E. Rizzoli (Eds.), 7th Intl. Congress on Env. Modeling and Software, San Diego, California, USA. https://scholarsarchive.byu.edu/iemssconference/2014/Stream-A/12/

CSDMS Efforts on Model Uncertainty

• Barnhart, K.R., Tucker, G.E., Doty, S.G., Glade, R. C., Shobe, C.M., Rossi, M., and Hill, M.C. (2020) Projections of landscape evolution on a 10,000 year timescale with assessment and partitioning of uncertainty sources. Journal of Geophysical Research: Earth Surface, 125, 7, https://doi.org/ 10.1029/2020JF005795.
• Kettner, A.J., and Syvitski, J.P.M., 2016. Uncertainty and Sensitivity in Surface Dynamics Modeling. Computers & Geosciences, 90 part B, 1-5. https://doi.org/10.1016/j.cageo.2016.03.003.
• Peckham, S.D., Kelbert, A., Hill, M.C., and Hutton, E.W.H., 2016. Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework. Computers & Geosciences, 90 part B, 152-161. https://doi.org/10.1016/j.cageo.2016.03.005.

Coupling data with models

• Peckham, S.D., and Goodall, J.L., 2013. Driving plug-and-play models with data from web services: A demonstration of interoperability between CSDMS and CUASHI-HIS. Computers & Geosciences, 53, 154-161. https://doi.org/10.1016/j.cageo.2012.04.019.

All CSDMS & Landlab papers

All papers involving CSDMS and Landlab

ESPIn

• Piper, M., Campforts, B., Overeem, I., Gasparini, N., and Arthurs, L., 2020. Earth Surface Processes Institute (ESPIn) Course Material (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.4000979.