@article{MooijBredervelddeKleinetal.2014,
  author    = {Mooij, Wolf M. and Brederveld, Robert J. and de Klein, Jeroen J. M. and DeAngelis, Don L. and Downing, Andrea S. and Faber, Michiel and Gerla, Daan J. and Hipsey, Matthew R. and Janse, Jan H. and Janssen, Annette B. G. and Jeuken, Michel and Kooi, Bob W. and Lischke, Betty and Petzoldt, Thomas and Postma, Leo and Schep, Sebastiaan A. and Scholten, Huub and Teurlincx, Sven and Thiange, Christophe and Trolle, Dennis and van Dam, Anne A. and van Gerven, Luuk P. A. and van Nes, Egbert H. and Kuiper, Jan J.},
  title     = {Serving many at once: How a database approach can create unity in dynamical ecosystem modelling},
  series = {Environmental modelling \& software with environment data news},
  volume    = {61},
  journal   = {Environmental modelling \& software with environment data news},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {1364-8152},
  doi       = {10.1016/j.envsoft.2014.04.004},
  pages     = {266 -- 273},
  year      = {2014},
  abstract  = {Simulation modelling in ecology is a field that is becoming increasingly compartmentalized. Here we propose a Database Approach To Modelling (DATM) to create unity in dynamical ecosystem modelling with differential equations. In this approach the storage of ecological knowledge is independent of the language and platform in which the model will be run. To create an instance of the model, the information in the database is translated and augmented with the language and platform specifics. This process is automated so that a new instance can be created each time the database is updated. We describe the approach using the simple Lotka-Volterra model and the complex ecosystem model for shallow lakes PCLake, which we automatically implement in the frameworks OSIRIS, GRIND for MATLAB, ACSL, R, DUFLOW and DELWAQ. A clear advantage of working in a database is the overview it provides. The simplicity of the approach only adds to its elegance. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).},
  language  = {en}
}
@article{vanGervenBredervelddeKleinetal.2015,
  author    = {van Gerven, Luuk P. A. and Brederveld, Robert J. and de Klein, Jeroen J. M. and DeAngelis, Don L. and Downing, Andrea S. and Faber, Michiel and Gerla, Daan J. and Janse, Jan H. and Janssen, Annette B. G. and Jeuken, Michel and Kooi, Bob W. and Kuiper, Jan J. and Lischke, Betty and Liu, Sien and Petzoldt, Thomas and Schep, Sebastiaan A. and Teurlincx, Sven and Thiange, Christophe and Trolle, Dennis and van Nes, Egbert H. and Mooij, Wolf M.},
  title     = {Advantages of concurrent use of multiple software frameworks in water quality modelling using a database approach},
  series = {Fundamental and applied limnology : official journal of the International Association of Theoretical and Applied Limnology},
  volume    = {186},
  journal   = {Fundamental and applied limnology : official journal of the International Association of Theoretical and Applied Limnology},
  number    = {1-2},
  publisher = {Schweizerbart},
  address   = {Stuttgart},
  issn      = {1863-9135},
  doi       = {10.1127/fal/2015/0631},
  pages     = {5 -- 20},
  year      = {2015},
  abstract  = {Water quality modelling deals with multidisciplinary questions ranging from fundamental to applied. Addressing this broad range of questions requires multiple analysis techniques and therefore multiple frameworks. Through the recently developed database approach to modelling (DATM), it has become possible to run a model in multiple software frameworks without much overhead. Here we apply DATM to the ecosystem model for ditches PCDitch and its twin model for shallow lakes PCLake. Using DATM, we run these models in six frameworks (ACSL, DELWAQ, DUFLOW, GRIND for MATLAB, OSIRIS and R), and report on the possible model analyses with tools provided by each framework. We conclude that the dynamic link between frameworks and models resulting from DATM has the following main advantages: it allows one to use the framework one is familiar with for most model analyses and eases switching between frameworks for complementary model analyses, including the switch between a 0-D and 1-D to 3-D setting. Moreover, the strength of each framework - including runtime performance - can now be easily exploited. We envision that a community-based further development of the concept can contribute to the future development of water quality modelling, not only by addressing multidisciplinary questions but also by facilitating the exchange of models and process formulations within the community of water quality modellers.},
  language  = {en}
}