PhD(Climate Science), UNSW Climate Change Research Centre
Science
Inst. Climate Risk & Response
Ned is a research associate at the UNSW Institute for Climate Risk and Response. After completing his PhD in climate science at the UNSW Climate Change Research in 2018, ned spent over 5 years in the consulting sector, building physical risk assessment systems that integrate scientific knowledge with client exposure and vulnerability profiles, and working with clients from government, business, and finance. Ned has recently returned to academia and is focused on understanding good practice in physical climate risk assessment, limitations and uncertainties in assessment methodologies, and approaches to improving communication and collaboration between scientists and finance sector.
Haughton N; Abramowitz G; De Kauwe MG; Pitman AJ, 2018, 'Does predictability of fluxes vary between FLUXNET sites?', Biogeosciences, 15, pp. 4495 - 4513, http://dx.doi.org/10.5194/bg-15-4495-2018
Journal articles | 2018
Haughton N; Abramowitz G; Pitman AJ, 2018, 'On the predictability of land surface fluxes from meteorological variables', Geoscientific Model Development, 11, pp. 195 - 212, http://dx.doi.org/10.5194/gmd-11-195-2018
Journal articles | 2017
Haughton N; Abramowitz G; Pitman AJ, 2017, 'On the Predictability of Land Surface Fluxes from Meteorological Variables', , pp. 1 - 27, http://dx.doi.org/10.5194/gmd-2017-153
Journal articles | 2017
Haughton N; Abramowitz G; Pitman AJ, 2017, 'Supplementary material to "On the Predictability of Land Surface Fluxes from Meteorological Variables"', Geoscientific Model Development, http://dx.doi.org/10.5194/gmd-2017-153-supplement
Ukkola AM; Haughton N; De Kauwe MG; Abramowitz G; Pitman AJ, 2017, 'FluxnetLSM R package (v1.0): A community tool for processing FLUXNET data for use in land surface modelling', Geoscientific Model Development, 10, pp. 3379 - 3390, http://dx.doi.org/10.5194/gmd-10-3379-2017
Haughton N; Abramowitz G; Pitman AJ; Or D; Best MJ; Johnson HR; Balsamo G; Boone A; Cuntz M; Decharme B; Dirmeyer PA; Dong J; Ek M; Guo Z; Haverd V; van den Hurk BJJ; Nearing GS; Pak B; Santanello JA; Stevens LE; Vuichard N, 2016, 'The plumbing of land surface models: Is poor performance a result of methodology or data quality?', Journal of Hydrometeorology, 17, pp. 1705 - 1723, http://dx.doi.org/10.1175/JHM-D-15-0171.1
Journal articles | 2016
Ukkola AM; De Kauwe MG; Pitman AJ; Best MJ; Abramowitz G; Haverd V; Decker M; Haughton N, 2016, 'Land surface models systematically overestimate the intensity, duration and magnitude of seasonal-scale evaporative droughts', Environmental Research Letters, 11, pp. 104012 - 104012, http://dx.doi.org/10.1088/1748-9326/11/10/104012
Journal articles | 2015
Haughton N; Abramowitz G; Pitman A; Phipps SJ, 2015, 'Weighting climate model ensembles for mean and variance estimates', Climate Dynamics, 45, pp. 3169 - 3181, http://dx.doi.org/10.1007/s00382-015-2531-3
Journal articles | 2014
Haughton N; Abramowitz G; Pitman A; Phipps SJ, 2014, 'On the generation of climate model ensembles', Climate Dynamics, 43, pp. 2297 - 2308, http://dx.doi.org/10.1007/s00382-014-2054-3
Haughton N; Abramowitz G; De Kauwe MG; Pitman AJ, 2019, Supplementary material to "Does predictability of fluxes vary between FLUXNET sites?", http://dx.doi.org/10.5194/bg-2018-179-supplement
