Senapati, NimaiChabbi, AbadGiostri, André FaéYeluripati, JagadeeshSmith, Pete2017-08-182017-08-182016-12Senapati, N, Chabbi, A, Giostri, A F, Yeluripati, J & Smith, P 2016, 'Modelling nitrous oxide emissions from mown-grass and grain-cropping systems : Testing and sensitivity analysis of DailyDayCent using high frequency measurements', Science of the Total Environment, vol. 572, pp. 955-977. https://doi.org/10.1016/j.scitotenv.2016.07.2260048-9697ORCID: /0000-0002-3784-1124/work/162728313http://hdl.handle.net/2164/9173The lead author, Nimai Senapati (Post doc), was funded by the European community’s Seventh Framework programme (FP2012-2015) under grant agreement no. 262060 (ExpeER). The research leading to these results has received funding principally from the ANR (ANR-11-INBS-0001), AllEnvi, CNRS-INSU. We would like to thank the National Research Infrastructure ‘Agro-écosystèmes, Cycles Biogéochimique et Biodiversité (SOERE-ACBB http://www.soere-acbb.com/fr/) for their support in field experiment. We are deeply indebted to Christophe deBerranger, Xavier Charrier for their substantial technical assistance and Patricia Laville for her valuables suggestion regarding N2O flux estimation.23541035engSDG 2 - Zero HungerSDG 13 - Climate ActionDailyDayCentModelling nitrous oxideMown-grasslandGrain-croplandSensitivity analysisQH301 BiologyQH301Modelling nitrous oxide emissions from mown-grass and grain-cropping systems : Testing and sensitivity analysis of DailyDayCent using high frequency measurementsJournal article10.1016/j.scitotenv.2016.07.226572