1Met Office Hadley Centre, Exeter, UK
2College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, UK
3National Centre for Earth Observation, Department of Meteorology, University of Reading, Reading UK
4Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
Received: 23 Sep 2016 – Discussion started: 06 Oct 2016
Abstract. The JULES-crop model (Osborne et al., 2015) is a parametrisation of crops within the Joint UK Land Environment Simulator (JULES), which aims to simulate both the impact of weather and climate on crop productivity and the impact of croplands on weather and climate. In this evaluation paper, observations of maize at three FLUXNET sites in Nebraska (US-Ne1, US-Ne2 and US-Ne3) are used to test model assumptions and make appropriate input parameter choices. JULES runs are performed for the irrigated sites (US-Ne1 and US-Ne2) both with the crop model switched off (prescribing leaf area index (LAI) and canopy height) and with the crop model switched on. These are compared against GPP and carbon pool FLUXNET observations. We use the results to point to future priorities for model development and describe how our methodology can be adapted to set up model runs for other sites and crop varieties.
Revised: 11 Feb 2017 – Accepted: 21 Feb 2017 – Published: 27 Mar 2017
Williams, K., Gornall, J., Harper, A., Wiltshire, A., Hemming, D., Quaife, T., Arkebauer, T., and Scoby, D.: Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska, Geosci. Model Dev., 10, 1291-1320, doi:10.5194/gmd-10-1291-2017, 2017.