Environmental Modelling & Software publishes contributions, in the form of research articles, reviews, introductory overviews, and position papers on advances in the area of environmental modelling and software. Our aim is to improve our capacity to represent, understand, predict or manage the behaviour of natural environmental systems, including air, water, and land components, at all practical scales, and to communicate those improvements to a wide scientific and professional audience.

It seeks presentation of:
• Generic frameworks, techniques and issues which either integrate a range of disciplines and sectors or apply across a range
Model development, model evaluation, process identification and applications in diverse sectors of the environment (as outlined below) provided they reveal insights and contribute to the store of knowledge. Insights can relate to the generality and limitations of the modelling, methods, the model application and/or the systems modelled. Insights should be ones that are generalizable in some way and are likely to be of interest to those studying other systems and, preferably, other system types.
• Development and application of environmental software, information and decision support systems
• Real-world applications of software technologies - particularly state-of-the-art environmental software able to deal with complex requirements, conflicting user perspectives, and/or evolving data structures. Aspects related to software usability, reliability, verification and validation should be backed up with quantitative results as much as possible. Development and maintenance costs, and adoption and penetration of the software in the target user groups should be addressed. Licensing issues and open source access should be clearly specified.
• Issues and methods related to the integrated modeling, assessment and management of environmental systems - including relevant policy and institutional analysis, public participation principles and methods, decision making methods, model integration, quality assurance and evaluation of models, data and procedures.

Authors must specify clearly the objectives of their models and/or software, and report on the essential steps that were used in their development, normally including the rationale for the type of approach selected and substantial testing and evaluation of it - comparisons with alternative approaches and methods are encouraged. The purpose of this specification, evaluation and reporting is to convey the rigour and credibility of the work and therefore its potential to contribute to knowledge acquisition. To this latter end, authors are expected to briefly review and cite the historical progress made for their problem and clearly show how their work adds value to the literature.

Authors are invited to submit relevant contributions in the following areas:
• Generic and pervasive frameworks, techniques and issues - including system identification theory and practice, model conception, model integration, model and/or software evaluation, sensitivity and uncertainty assessment, visualization, scale and regionalization issues.
• Integrated assessment and management of systems (river basins, regions etc.) for enhancing sustainability outcomes - including linked socioeconomic and biophysical models that may be developed with stakeholders for understanding systems, communication and learning, and improving system outcomes.
• Artificial Intelligence (AI) techniques and systems, such as knowledge-based systems / expert systems, case-based reasoning systems, data mining, multi-agent systems, Bayesian networks, artificial neural networks, fuzzy logic, or knowledge elicitation and knowledge acquisition methods.
• Decision support systems and environmental information systems- implementation and use of environmental data and models to support all phases and aspects of decision making, in particular supporting group and participatory decision making processes. Intelligent Environmental Decision Support Systems can include qualitative, quantitative, mathematical, statistical, AI models and meta-models.
• Process-identification of environmental dynamics for instance of surface and subsurface hydrology, limnology, meteorology, geophysics with special respect to the interaction of anthroposphere and biosphere.
• GIS, remote sensing and image processing

These methodological developments should be illustrated with applications in the environmental fields, e.g.
• Resource management including water, land, biological, transport systems
• Pollution of different media such as air, water, soil, noise, radiation, as well as multimedia problems
• Global pollution and global climate change
• Regional studies of resource consumption and/or nature conservation in open landscapes as well as in urban regions

Environmental Modelling & Software welcomes review articles on the topics above, especially ones that relate to generic modelling and/or software issues, or are cross-disciplinary in their problem treatment.
Potential authors of review articles should contact the Editor-in-Chief to discuss the topic and coverage of their review. The journal has also published several Position Papers on key topics within its aims and scope at http://www.iemss.org/society/index.php/position-papers

Introductory Overviews are designed to provide a concise topic overview that caters to the eclectic readership of EMS. These articles aim to break down barriers to shared understanding and dialogue within multidisciplinary teams, and to make environmental modelling dimensions more accessible to a wider audience. Introductory Overviews include an introduction to the fundamentals of the topic and reference to key literature. Relevant concepts are presented in relatively simple terms, but with the audience assumed to have some basic knowledge of environmental modelling and mathematics. These articles are not intended to be comprehensive reviews but non-technical primers on essential modelling concepts. Introductory Overviews are peer reviewed and are by invitation only; ideas for Introductory Overviews can however be canvassed with any of the Editors.

Editorial board


  • D.P. Ames
    Brigham Young University, Provo, Utah, United States

Emeritus Editor

  • A.J. Jakeman
    Australian National University, Canberra, Australia
  • A.A. Jennings
    Case Western Reserve University, Cleveland, Ohio, United States


  • M. Chen
    Nanjing Normal University, Nanjing, China
  • S. Elsawah PhD
    University of New South Wales ADFA School of Engineering and Information Technology, Canberra Bc, Australia
  • K. Gibert
    Polytechnic University of Catalonia, Barcelona, Spain
  • H.R. Maier
    The University of Adelaide, Adelaide, South Australia, Australia
  • L. Marshall
    University of New South Wales, Sydney, New South Wales, Australia
  • S. Reis
    Centre for Ecology & Hydrology (CEH), Edinburgh, Wallingford, United Kingdom

Associate Editors

  • I.N. Athanasiadis
    Wageningen University, Wageningen, Netherlands
  • A. Castelletti PhD
    Polytechnic of Milan Department of Electronics Information and Bioengineering, Milano, Italy
  • T. Filatova
    University of Twente, Enschede, Netherlands
  • J. Goodall
    University of Virginia, Charlottesville, Virginia, United States
  • G. Guariso
    Polytechnic of Milan, Milano, Italy
  • A. Jolma
    Simosol Oy, Riihimäk, Finland
  • E. Marsili
    Nazarbayev University, Nur-Sultan, Kazakhstan
  • A.E. Rizzoli
    Dalle Molle Institute for Artificial Intelligence, Manno, Switzerland
  • B.J. Robson
    Australian Institute of Marine Science, Townsville, Australia
  • M. Sànchez-Marrè
    Polytechnic University of Catalonia, Barcelona, Spain
  • A. Voinov
    University of Technology Sydney, Sydney, Australia

Editorial Board

  • M. Acutis
    University of Milano, Milan, Italy
  • R.M. Argent
    Australian Bureau of Meteorology, Melbourne, Australia
  • O. David
    Colorado State University, Fort Collins, Colorado, United States
  • I. Demir
    The University of Iowa, Iowa City, Iowa, United States
  • Q. Duan
    Beijing Normal University, Beijing, China
  • M. Erechtchoukova
    York University School of Information Technology, Toronto, Ontario, Canada
  • B. Fu
    Australian National University, Canberra, Australia
  • S. Galelli
    Singapore University of Technology and Design, Singapore, Singapore
  • C. Giupponi
    Ca' Foscari University of Venice, Venezia, Italy
  • T.R. Green
    USDA-ARS Plains Area, Weslaco, Texas, United States
  • A. van Griensven
    IHE Delft Institute for Water Education, Delft, Netherlands
  • C. Gualtieri
    University of Naples Federico II, Napoli, Italy
  • J. Guillaume
    Aalto University Water and Development Research Group, ESPOO, Finland
  • M.C. Hill
    University of Kansas, Lawrence, Kansas, United States
  • M.R. Hipsey
    The University of Western Australia, Perth, Western Australia, Australia
  • A. Holzkaemper
    Agroscope Location Reckenholz, Zurich, Switzerland
  • D. Holzworth
    CSIRO Agricultural Production Systems Research Unit, Toowoomba, Australia
  • J.S. Horsburgh
    Utah State University, Logan, Utah, United States
  • R.J. Hunt
    US Geological Survey, Reston, Virginia, United States
  • A.V.M. Ines
    Columbia University International Research Institute for Climate and Society, Palisades, New York, United States
  • G. Iovine
    Research Institute for Hydrogeology Protection National Research Council Rende Branch, Rende, Italy
  • D. Karssenberg
    Utrecht University, Utrecht, Netherlands
  • K.J. Keesman
    Wageningen University, Wageningen, Netherlands
  • J. H. Kwakkel
    TU Delft, Delft, Netherlands
  • L. Leonard
    Pennsylvania State University, University Park, United States
  • P. Nejadhashemi
    Michigan State University College of Engineering, East Lansing, Michigan, United States
  • G. Petropoulos
    Harokopio University, Athens, Greece
  • E. Pisoni
    European Commission Joint Research Centre Ispra Sector, Ispra, Italy
  • N.W.T. Quinn
    E O Lawrence Berkeley National Laboratory, Berkeley, California, United States
  • S. Razavi
    University of Saskatchewan Department of Civil Geological and Environmental Engineering, Saskatoon, Saskatchewan, Canada
  • J. Sharples
    University of New South Wales, Sydney, New South Wales, Australia
  • Val Snow PhD
    AgResearch Ltd, Waikato Mail Centre, Hamilton, New Zealand
  • C.J. Taylor
    Lancaster University, Lancaster, United Kingdom
  • E. Trutnevyte
    University of Geneva, Renewable Energy Systems, Geneva, Switzerland
  • P.A. Vanrolleghem
    Laval University Department of Civil Engineering and Water Engineering, Laval, Quebec, Canada
  • W Vervoort
    The University of Sydney, Sydney, New South Wales, Australia
  • M. Volk
    Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Germany
  • W. Wu
    The University of Melbourne, Melbourne School of Engineering, Melbourne, Victoria, Australia
  • K. Zhang
    Hohai University College of Hydrology and Water Resources, Nanjing, China
  • X. Zhang
    Shandong University School of Environmental Science and Engineering Sciences, Jinan, China
  • X. Zhang
    University of Maryland at College Park, College Park, Maryland, United States