update statetment of need to include more context and similar projects

src/docs/JOSS/paper.bib

@@ -116,3 +116,63 @@ @misc{GEOS_RTD
     year = {2024},
     url = {https://geosx-geosx.readthedocs-hosted.com/en/latest/},
 }
+
+@article{Nordbotten2024,
+abstract = {This article contains the description of, and call for participation in, the 11th Society of Petroleum Engineers Comparative Solution Project (the 11th SPE CSP, https://spe.org/csp). It is motivated by the simulation challenges associated with CO2 storage operations in geological settings of realistic complexity. The 11th SPE CSP contains three versions: Version 11A is a 2D geometry at the laboratory scale, inspired by a recent CO2 storage forecasting and validation study. For Version 11B, the 2D geometry and operational conditions from 11A are rescaled to field conditions characteristic of the Norwegian Continental Shelf. Finally, for Version 11C, the geometry of Version 11B is extruded to a full 3D field model. The CSP has a two-year timeline, being launched at the 2023 SPE Reservoir Simulation Conference and culminating at the 2025 SPE Reservoir Simulation Conference. A community effort is run in parallel to develop utility scripts and input files for common simulators to lower the threshold of participation; see the link to supplementary material on the CSP website. At the time of writing, complete input decks for one simulator are already ready for all three versions.},
+author = {Nordbotten, Jan M. and Ferno, Martin A. and Flemisch, Bernd and Kovscek, Anthony R. and Lie, Knut Andreas},
+doi = {10.2118/218015-PA},
+file = {:Users/settgast1/Documents/Mendeley Desktop/Nordbotten/2024/The 11th Society of Petroleum Engineers Comparative Solution Project Problem Definition/Nordbotten - 2024 - The 11th Society of Petroleum Engineers Comparative Solution Project Problem Definition.pdf:pdf},
+issn = {1086055X},
+journal = {SPE Journal},
+number = {5},
+pages = {2507--2524},
+title = {{The 11th Society of Petroleum Engineers Comparative Solution Project: Problem Definition}},
+volume = {29},
+year = {2024}
+}
+
+@software{ogs:6.5.2,
+  author       = {Naumov, Dmitri and
+                  Bilke, Lars and
+                  Lehmann, Christoph and
+                  Fischer, Thomas and
+                  Wang, Wenqing and
+                  Silbermann, Christian and
+                  Thiedau, Jan and
+                  Selzer, Philipp},
+  title        = {OpenGeoSys},
+  month        = jun,
+  year         = 2024,
+  publisher    = {Zenodo},
+  version      = {6.5.2},
+  doi          = {10.5281/zenodo.11652195},
+  url          = {https://doi.org/10.5281/zenodo.11652195}
+}
+
+@article{Kochetal2020Dumux,
+title = "{DuMu\textsuperscript{x} 3 - an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling}",
+journal = "Computers \& Mathematics with Applications",
+year = "2020",
+issn = "0898-1221",
+doi = "10.1016/j.camwa.2020.02.012",
+author = "Timo Koch and Dennis Gl\"aser and Kilian Weishaupt and Sina Ackermann and Martin Beck and Beatrix Becker and Samuel Burbulla and Holger Class and Edward Coltman and Simon Emmert and Thomas Fetzer and Christoph Gr\"uninger and Katharina Heck and Johannes Hommel and Theresa Kurz and Melanie Lipp and Farid Mohammadi and Samuel Scherrer and Martin Schneider and Gabriele Seitz and Leopold Stadler and Martin Utz and Felix Weinhardt and Bernd Flemisch",
+keywords = "Porous media, Multi-phase flow, , Coupled problems, Open-source software, Research software",
+abstract = "We present version 3 of the open-source simulator for flow and transport processes in porous media DuMux. DuMux is based on the modular C++ framework Dune (Distributed and Unified Numerics Environment) and is developed as a research code with a focus on modularity and reusability. We describe recent efforts in improving the transparency and efficiency of the development process and community-building, as well as efforts towards quality assurance and reproducible research. In addition to a major redesign of many simulation components in order to facilitate setting up complex simulations in DuMux, version 3 introduces a more consistent abstraction of finite volume schemes. Finally, the new framework for multi-domain simulations is described, and three numerical examples demonstrate its flexibility."
+}
+
+@article{RASMUSSEN2021159,
+title = {The Open Porous Media Flow reservoir simulator},
+journal = {Computers & Mathematics with Applications},
+volume = {81},
+pages = {159-185},
+year = {2021},
+note = {Development and Application of Open-source Software for Problems with Numerical PDEs},
+issn = {0898-1221},
+doi = {https://doi.org/10.1016/j.camwa.2020.05.014},
+url = {https://www.sciencedirect.com/science/article/pii/S0898122120302182},
+author = {Atgeirr Flø Rasmussen and Tor Harald Sandve and Kai Bao and Andreas Lauser and Joakim Hove and Bård Skaflestad and Robert Klöfkorn and Markus Blatt and Alf Birger Rustad and Ove Sævareid and Knut-Andreas Lie and Andreas Thune},
+abstract = {The Open Porous Media (OPM) initiative is a community effort that encourages open innovation and reproducible research for simulation of porous media processes. OPM coordinates collaborative software development, maintains and distributes open-source software and open data sets, and seeks to ensure that these are available under a free license in a long-term perspective. In this paper, we present OPM Flow, which is a reservoir simulator developed for industrial use, as well as some of the individual components used to make OPM Flow. The descriptions apply to the 2019.10 release of OPM.}
+}
+
+
+@article{Voskov2024, doi = {10.21105/joss.06737}, url = {https://doi.org/10.21105/joss.06737}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {99}, pages = {6737}, author = {Denis Voskov and Ilshat Saifullin and Aleksei Novikov and Michiel Wapperom and Luisa Orozco and Gabriel Serrão Seabra and Yuan Chen and Mark Khait and Xiaocong Lyu and Xiaoming Tian and Stephan de Hoop and Artur Palha}, title = {open Delft Advanced Research Terra Simulator (open-DARTS)}, journal = {Journal of Open Source Software} }

src/docs/JOSS/paper.md

@@ -149,9 +149,15 @@ Note that GEOS, as presented here, is a complete rewrite of the previous incarna
 The threat of climate change has resulted in an increased focus on mitigating carbon emissions into the atmosphere.
 Carbon Capture and Storage (CCS) of CO~2~ in subsurface reservoirs and saline aquifers is an important component in the strategy to meet global climate goals.
 Given the 2050 net-zero GHG goals, CO~2~ storage capacities required to offset emissions is orders of magnitude greater than current levels [@IPCC_2023].
-The ability to evaluate the reservoir performance and containment risks associated with the injection of liquefied CO~2~ in the subsurface in a reproducible and transparent manner is an important consideration when evaluating new storage sites.
-The primary goal of GEOS is to provide the global community with an open-source tool that is capable of simulating the complex coupled physics that occurs when liquefied CO~2~ is injected into a subsurface reservoir.
+Evaluation of reservoir performance and containment risks associated with the injection of liquefied CO~2~ in the subsurface in a reproducible and transparent manner is an important consideration when evaluating new storage sites.
+As an example of typical complexities in carbon storage reservoirs, the 11th Society of Petroleum Engineers Comparative Solution Project (SPE11) [@Nordbotten2024] provides a benchmark example for evaluating the the predictions of carbon storage simulators.
+The goal of GEOS is to provide the global community with an exascale capable open-source tool that is capable of simulating the complex coupled physics that occurs when liquefied CO~2~ is injected into a subsurface reservoir.
 To this end, GEOS is freely available and focused on the simulation of reservoir integrity through various failure mechanisms such as caprock failure, fault leakage, and wellbore failure.
+Open source projects such as OMP [@RASMUSSEN2021159], OpenGeoSys [@ogs:6.5.2], DuMux [@Kochetal2020Dumux], Darts [@Voskov2024] are example efforts that share similar objectives.
+However, GEOS stands out in two key areas: the explicit fault modeling coupled with flow and mechanical deformation, and the ability to leverage the computational power of current exascale supercomputers. 
+
+
+
 
 # GEOS Components