| Land surface models systematically overestimate the intensity, duration and magnitude of seasonal-scale evaporative droughts AM Ukkola, MG De Kauwe, AJ Pitman, MJ Best, G Abramowitz, V Haverd, ... Environmental Research Letters 11 (10), 104012, 2016 | 105 | 2016 |
| Weighting climate model ensembles for mean and variance estimates N Haughton, G Abramowitz, A Pitman, SJ Phipps Climate dynamics 45, 3169-3181, 2015 | 61 | 2015 |
| The plumbing of land surface models: Is poor performance a result of methodology or data quality? N Haughton, G Abramowitz, AJ Pitman, D Or, MJ Best, HR Johnson, ... Journal of Hydrometeorology 17 (6), 1705-1723, 2016 | 52 | 2016 |
| On the generation of climate model ensembles N Haughton, G Abramowitz, A Pitman, SJ Phipps Climate dynamics 43, 2297-2308, 2014 | 29 | 2014 |
| Does predictability of fluxes vary between FLUXNET sites? N Haughton, G Abramowitz, MG De Kauwe, AJ Pitman Biogeosciences 15 (14), 4495-4513, 2018 | 27 | 2018 |
| On the predictability of land surface fluxes from meteorological variables, Geosci. Model Dev., 11, 195–212 N Haughton, G Abramowitz, AJ Pitman | 11 | 2018 |
| FluxnetLSM R package (v1. 0): A community tool for processing FLUXNET data for use in land surface modelling AM Ukkola, N Haughton, MG De Kauwe, G Abramowitz, AJ Pitman Geoscientific Model Development 10 (9), 3379-3390, 2017 | 11 | 2017 |
| On the predictability of land surface fluxes from meteorological variables N Haughton, G Abramowitz, AJ Pitman Geoscientific Model Development 11 (1), 195-212, 2018 | 10 | 2018 |
| FluxnetLSM R package (v1. 0): a community tool for processing FLUXNET data for use in land surface modelling, Geosci. Model Dev., 10, 3379–3390 AM Ukkola, N Haughton, MG De Kauwe, G Abramowitz, AJ Pitman | 10 | 2017 |
| On the predictability of land surface fluxes from meteorological variables, Geosci. Model Dev., 11, 195–212, 10.5194 N Haughton, G Abramowitz, AJ Pitman gmd-11-195-2018, 2018 | 8 | 2018 |
| FluxnetLSM R package (v1. 0): a community tool for processing FLUXNET data for use in land surface modelling, Geosci. Model Dev., 10, 3379–3390, 10.5194 AM Ukkola, N Haughton, MG De Kauwe, G Abramowitz, AJ Pitman gmd-10-3379-2017, 2017 | 7 | 2017 |
| On the predictability of land surface fluxes from meteorological variables, Geoscientific Model Development, 11, 195–212 N Haughton, G Abramowitz, AJ Pitman | 5 | 2018 |
| Climate model ensemble generation and model dependence N Haughton Dissertation, University of New South Wales, New South Wales, 2012 | 2 | 2012 |
| On the predictability of land surface fluxes N Haughton UNSW Sydney, 2019 | | 2019 |
| Interactive comment on “Comparison of six different soft computing methods in modeling evaporation in different climates” by L. Wang et al. N Haughton | | 2016 |
| Revisiting PLUMBER: Why Do Simple Data-driven Models Outperform Modern Land Surface Models? B Nijssen, MP Clark, N Haughton, G Abramowitz AGU Fall Meeting Abstracts 2015, H13N-07, 2015 | | 2015 |
| Weighting climate model ensembles for mean and N Haughton, G Abramowitz, A Pitman, SJ Phipps | | |
| Evaluation of land surface models against Fluxnet observations G Abramowitz, N Haughton, N Herger | | |
Gab AbramowitzUniversity of New South WalesVerified email at unsw.edu.au
