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.
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.
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.
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.
Haughton, N., Abramowitz, G., Pitman, A., & Phipps, S. J. (2015). Weighting climate model ensembles for mean and variance estimates. Climate Dynamics, 1–13.
Haughton, N., Abramowitz, G., Pitman, A. J., & Phipps, S. J. (2014). On the generation of climate model ensembles. Climate Dynamics, 1–12.