Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 1291-1320, 2017
http://www.geosci-model-dev.net/10/1291/2017/
doi:10.5194/gmd-10-1291-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Model evaluation paper
27 Mar 2017
Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska
Karina Williams1, Jemma Gornall1, Anna Harper2, Andy Wiltshire1, Debbie Hemming1, Tristan Quaife3, Tim Arkebauer4, and David Scoby4 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
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.

Citation: 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.
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Short summary
This study looks in detail at how well the crop model within the Joint UK Land Environment Simulator (JULES), a community land-surface model, is able to simulate irrigated maize in Nebraska. 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.
This study looks in detail at how well the crop model within the Joint UK Land Environment...
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