pre-prints are available via ResearchGate, and may be available here in the future.
Haughton, N., Abramowitz, G., De Kauwe, M. G. and Pitman, A. J.: Does predictability of fluxes vary between FLUXNET sites?, Biogeosciences Discuss., 2018, 1–32, doi:10.5194/bg-2018-179, in review.
Haughton, N., Abramowitz, G., & Pitman, A. J. (2018). On the Predictability of Land Surface Fluxes from Meteorological Variables. Geosci. Model Dev., 11(1), 195–212. https://doi.org/10.5194/gmd-11-195-2018
Ukkola, A. M., Haughton, N., De Kauwe, M. G., Abramowitz, G., & Pitman, A. J. (2017). FluxnetLSM R package (v1.0): A community tool for processing FLUXNET data for use in land surface modelling. Geosci. Model Dev. Discuss., 2017, 1–21. https://doi.org/10.5194/gmd-2017-58
Ukkola, A. M., De Kauwe, M. G., Pitman, A. J., Best, M. J., Abramowitz, G., Haverd, V., … Haughton, N. (2016). Land surface models systematically overestimate the intensity, duration and magnitude of seasonal-scale evaporative droughts. Environmental Research Letters, 11(10), 104012. https://doi.org/10.1088/1748-9326/11/10/104012
Haughton, N., Abramowitz, G., Pitman, A. J., Or, D., Best, M. J., Johnson, H. R., … Vuichard, N. (2016). The Plumbing of Land Surface Models: Is Poor Performance a Result of Methodology or Data Quality? Journal of Hydrometeorology, 17(6), 1705–1723. https://doi.org/10.1175/JHM-D-15-0171.1
Haughton, N., Abramowitz, G., Pitman, A., & Phipps, S. J. (2015). Weighting climate model ensembles for mean and variance estimates. Climate Dynamics, 1–13. https://doi.org/10.1007/s00382-015-2531-3
Haughton, N., Abramowitz, G., Pitman, A. J., & Phipps, S. J. (2014). On the generation of climate model ensembles. Climate Dynamics, 1–12. https://doi.org/10.1007/s00382-014-2054-3