25 years of the WOFOST cropping systems model. (January 2019)

• Record Type: Journal Article
• Authors: de Wit, Allard; Boogaard, Hendrik; Fumagalli, Davide; Janssen, Sander; Knapen, Rob; van Kraalingen, Daniel; Supit, Iwan; van der Wijngaart, Raymond; van Diepen, Kees
• Is Part Of: Agricultural systems. Volume 168(2019)
• Page Start: 154
• Page End: 167
• Publication Date: 2019-01
• Subjects: Simulation Model -- Regional scale -- open source -- yield forecasting; Agricultural systems -- Periodicals; Agriculture -- Environmental aspects -- Periodicals; 338.16
• DOI: 10.1016/j.agsy.2018.06.018
• Languages: English
• ISSNs: 0308-521X

Abstract

Abstract: The WOFOST cropping systems model has been applied operationally over the last 25 years as part of the MARS crop yield forecasting system. In this paper we provide an updated description of the model and reflect on the lessons learned over the last 25 years. The latter includes issues like system performance, model sensitivity, spatial model setup, parameterization and calibration approaches as well as software implementation and version management. Particularly for spatial model calibrations we provide experience and guidelines on how to execute calibrations and how to evaluate WOFOST model simulation results, particularly under conditions of limited field data availability. As an open source model WOFOST has been a success with at least 10 different implementations of the same concept. An overview is provided for those implementations which are managed by MARS or Wageningen groups. However, the proliferation of WOFOST implementations has also led to questions on the reproducibility of results from different implementations as is demonstrated with an example from MARS. In order to certify that the different WOFOST implementations and versions available can reproduce basic sets of inputs and outputs we make available a large set of test cases as appendix to this publication. Finally, new methodological extensions have been added to WOFOST in simulating the impact of nutrients limitations, extreme events and climate variability. Also, a difference is made in the operational and scientific versions of WOFOST with different licensing models and possible revenue generation. Capitalizing both on academic development as well as model testing in real-world situations will help to enable new applications of the WOFOST model in precision agriculture and smart farming. Highlights: An updated description of the WOFOST model is provided Guidelines for (spatial) calibration of WOFOST are provided Current implementations of the model are described and issues with model proliferation are raised New development and model extensions are described A set of reference results is published that can be used to certify any WOFOST implementation.