ABOUT ME

 

Biography

I'm interested in models of natural systems and especially trying to understand when models are useful for making inferences about a natural system. I work with climate, hydrology and ecology models, primarily in evaluation, benchmarking and uncertainty assessment. I work in the Climate Change Research Centre at UNSW and am a Chief Investigator with the ARC Centre of Excellence for Climate Extremes.

RESEARCH

 

Research Goals

  • To understand the scope and extent of inference we can make with climate model projections
  • To quantify the expectations of performance we should have from models of natural systems
  • To develop meaningful model evaluation strategies for models of systems with significant internal variability

Research in Detail

Together with students and other researchers, I use a range of climatological, hydrological and ecological observations to try to understand the circumstances in which model simulations are useful, assess the uncertainty in model predictions and help develop international standards for model evaluation and benchmarking. My two main foci at the moment are land surface model benchmarking and model dependence assessment in multi-model ensemble climate prediction.

I am currently a member of the GEWEX Global Land-Atmosphere System Study panel and the management committee for the Community Atmosphere Biosphere Land Exchange (CABLE) model, Australia's community land surface model. I also lead development of modelevaluation.org, a web application, which provides automated land surface, hydrological and ecological model evaluation and benchmarking tools as well as observational data sets.

Climate scientists use ensembles of climate models to get a collection of independent estimates of a prediction problem. Yet climate research teams share literature, data sets and even sections of model code. To what extent do different climate models constitute independent estimates? What is the most appropriate statistical framework with which to define independence? What are the implications of ignoring model dependence?

Supervision Opportunities/Areas

If you are interested in persuing a PhD or Honours project and you think this type of area might interest you, I'd love to hear from you. I'm particularly interested if you have ideas of your own that you'd like to pursue, but there are many potential projects in areas like uncertainty quantification in natural systems modelling, land surface model benchmarking and evaluation or an application of machine learning to climate science that we might discuss. If you have a background in maths, physics or computing there are likely plenty of options.

Students who are successful obtaining PhD scholarships (e.g. an Australian Postgraduate Award or International Postgraduate Research Scholarship) may be offered additional "top-up" funding, on a case-by-case basis.

Advice for prospective students

While you may not have a clear idea of your research topic yet, a PhD project will ultimately be yours to investigate, develop and communicate. Your supervisor will help you make sure that you arrive at a topic that is achievable in 3-4 years, scientifically rigorous, and most importantly, interesting for you. If the topics I've talked about above don't seem quite right, there is a great collection of other academics in the CCRC who might be able to help you. We're all friendly, so please come and talk to us.

The Climate Change Research Centre is a great place to do your PhD. We have a large PhD student cohort that is academically and socially engaged, with students from a wide range of academic and cultural backgrounds. We have an induction process that includes being assigned a student "buddy", to make sure you're aware of everything that might be relevant for you, including a range of social events run by students. As part of the Kensington campus we are only 10 minutes from the centre of Sydney.

 

TEACHING & OUTREACH

 

Courses I teach

CLIM1001: Introduction to Climate Change

GENS0401: Introduction to Climate Change

CLIM3001: Climate Systems Science

Organisational units

Publications

Journal articles
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Hobeichi S; Abramowitz G; Evans J, 2020, 'Conserving land-atmosphere synthesis suite (CLASS)', Journal of Climate, vol. 33, pp. 1821 - 1844, http://dx.doi.org/10.1175/JCLI-D-19-0036.1
2020
Ukkola AM; De Kauwe MG; Roderick ML; Abramowitz G; Pitman AJ, 2020, 'Robust future changes in meteorological drought in CMIP6 projections despite uncertainty in precipitation', Geophysical Research Letters, http://dx.doi.org/10.1029/2020gl087820
2020
Sabot MEB; De Kauwe MG; Pitman AJ; Medlyn BE; Verhoef A; Ukkola AM; Abramowitz G, 2020, 'Plant profit maximization improves predictions of European forest responses to drought', New Phytologist, http://dx.doi.org/10.1111/nph.16376
2020
Hirsch AL; Kala J; Carouge CC; De Kauwe MG; Di Virgilio G; Ukkola AM; Evans JP; Abramowitz G, 2019, 'Evaluation of the CABLEv2.3.4 Land Surface Model Coupled to NU-WRFv3.9.1.1 in Simulating Temperature and Precipitation Means and Extremes Over CORDEX AustralAsia Within a WRF Physics Ensemble', Journal of Advances in Modeling Earth Systems, vol. 11, pp. 4466 - 4488, http://dx.doi.org/10.1029/2019MS001845
2019
Abramowitz G; Herger N; Gutmann E; Hammerling D; Knutti R; Leduc M; Lorenz R; Pincus R; Schmidt GA, 2019, 'ESD Reviews: Model dependence in multi-model climate ensembles: Weighting, sub-selection and out-of-sample testing', Earth System Dynamics, vol. 10, pp. 91 - 105, http://dx.doi.org/10.5194/esd-10-91-2019
2019
Hobeichi S; Abramowitz G; Evans J; Beck HE, 2019, 'Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product', Hydrology and Earth System Sciences, vol. 23, pp. 851 - 870, http://dx.doi.org/10.5194/hess-23-851-2019
2019
Eyring V; Cox PM; Flato GM; Gleckler PJ; Abramowitz G; Caldwell P; Collins WD; Gier BK; Hall AD; Hoffman FM; Hurtt GC; Jahn A; Jones CD; Klein SA; Krasting JP; Kwiatkowski L; Lorenz R; Maloney E; Meehl GA; Pendergrass AG; Pincus R; Ruane AC; Russell JL; Sanderson BM; Santer BD; Sherwood SC; Simpson IR; Stouffer RJ; Williamson MS, 2019, 'Taking climate model evaluation to the next level', Nature Climate Change, vol. 9, pp. 102 - 110, http://dx.doi.org/10.1038/s41558-018-0355-y
2019
Herger N; Abramowitz G; Sherwood S; Knutti R; Angélil O; Sisson SA, 2019, 'Ensemble optimisation, multiple constraints and overconfidence: a case study with future Australian precipitation change', Climate Dynamics, vol. 53, pp. 1581 - 1596, http://dx.doi.org/10.1007/s00382-019-04690-8
2019
Van Der Horst SVJ; Pitman AJ; De Kauwe MG; Ukkola A; Abramowitz G; Isaac P, 2019, 'How representative are FLUXNET measurements of surface fluxes during temperature extremes?', Biogeosciences, vol. 16, pp. 1829 - 1844, http://dx.doi.org/10.5194/bg-16-1829-2019
2019
Hobeichi S; Abramowitz G; Evans J; Ukkola A, 2018, 'Derived Optimal Linear Combination Evapotranspiration (DOLCE): A global gridded synthesis et estimate', Hydrology and Earth System Sciences, vol. 22, pp. 1317 - 1336, http://dx.doi.org/10.5194/hess-22-1317-2018
2018
Haughton N; Abramowitz G; De Kauwe MG; Pitman AJ, 2018, 'Does predictability of fluxes vary between FLUXNET sites?', Biogeosciences, vol. 15, pp. 4495 - 4513, http://dx.doi.org/10.5194/bg-15-4495-2018
2018
Ukkola AM; Pitman AJ; De Kauwe MG; Abramowitz G; Herger N; Evans JP; Decker M, 2018, 'Evaluating CMIP5 model agreement for multiple drought metrics', Journal of Hydrometeorology, vol. 19, pp. 969 - 988, http://dx.doi.org/10.1175/JHM-D-17-0099.1
2018
Haughton N; Abramowitz G; Pitman AJ, 2018, 'On the predictability of land surface fluxes from meteorological variables', Geoscientific Model Development, vol. 11, pp. 195 - 212, http://dx.doi.org/10.5194/gmd-11-195-2018
2018
Herger N; Abramowitz G; Knutti R; Angélil O; Lehmann K; Sanderson BM, 2018, 'Selecting a climate model subset to optimise key ensemble properties', Earth System Dynamics, vol. 9, pp. 135 - 151, http://dx.doi.org/10.5194/esd-9-135-2018
2018
Herger N; Angélil O; Abramowitz G; Donat M; Stone D; Lehmann K, 2018, 'Calibrating Climate Model Ensembles for Assessing Extremes in a Changing Climate', Journal of Geophysical Research: Atmospheres, vol. 123, pp. 5988 - 6004, http://dx.doi.org/10.1029/2018JD028549
2018
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, vol. 10, pp. 3379 - 3390, http://dx.doi.org/10.5194/gmd-10-3379-2017
2017
Whitley R; Beringer J; Hutley LB; Abramowitz G; De Kauwe MG; Evans B; Haverd V; Li L; Moore C; Ryu Y; Scheiter S; Schymanski SJ; Smith B; Wang YP; Williams M; Yu Q, 2017, 'Challenges and opportunities in land surface modelling of savanna ecosystems', Biogeosciences, vol. 14, pp. 4711 - 4732, http://dx.doi.org/10.5194/bg-14-4711-2017
2017
Ukkola AM; Pitman AJ; Decker M; De Kauwe MG; Abramowitz G; Kala J; Wang YP, 2016, 'Modelling evapotranspiration during precipitation deficits: Identifying critical processes in a land surface model', Hydrology and Earth System Sciences, vol. 20, pp. 2403 - 2419, http://dx.doi.org/10.5194/hess-20-2403-2016
2016
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, vol. 17, pp. 1705 - 1723, http://dx.doi.org/10.1175/JHM-D-15-0171.1
2016
Wang B; Liu DL; Macadam I; Alexander LV; Abramowitz G; Yu Q, 2016, 'Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in south eastern Australia', Climatic Change, vol. 138, pp. 85 - 98, http://dx.doi.org/10.1007/s10584-016-1726-x
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, vol. 11, pp. 104012 - 104012, http://dx.doi.org/10.1088/1748-9326/11/10/104012
2016
Whitley R; Beringer J; Hutley LB; Abramowitz G; De Kauwe MG; Duursma R; Evans B; Haverd V; Li L; Ryu Y; Smith B; Wang YP; Williams M; Yu Q, 2016, 'A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas', Biogeosciences, vol. 13, pp. 3245 - 3265, http://dx.doi.org/10.5194/bg-13-3245-2016
2016
Kala J; De Kauwe MG; Pitman AJ; Lorenz R; Medlyn BE; Wang YP; Lin YS; Abramowitz G, 2015, 'Implementation of an optimal stomatal conductance scheme in the Australian Community Climate Earth Systems Simulator (ACCESS1.3b)', Geoscientific Model Development, vol. 8, pp. 3877 - 3889, http://dx.doi.org/10.5194/gmd-8-3877-2015
2015
De Kauwe MG; Kala J; Lin YS; Pitman AJ; Medlyn BE; Duursma RA; Abramowitz G; Wang YP; Miralles DG, 2015, 'A test of an optimal stomatal conductance scheme within the CABLE land surface model', Geoscientific Model Development, vol. 8, pp. 431 - 452, http://dx.doi.org/10.5194/gmd-8-431-2015
2015
Best MJ; Abramowitz G; Johnson HR; Pitman AJ; 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; Peters-Lidard C; Santanello JA; Stevens L; Vuichard N, 2015, 'The plumbing of land surface models: Benchmarking model performance', Journal of Hydrometeorology, vol. 16, pp. 1425 - 1442, http://dx.doi.org/10.1175/JHM-D-14-0158.1
2015
Haughton N; Abramowitz G; Pitman A; Phipps SJ, 2015, 'Weighting climate model ensembles for mean and variance estimates', Climate Dynamics, vol. 45, pp. 3169 - 3181, http://dx.doi.org/10.1007/s00382-015-2531-3
2015
Abramowitz G; Bishop CH, 2015, 'Climate model dependence and the ensemble dependence transformation of CMIP projections', Journal of Climate, vol. 28, pp. 2332 - 2348, http://dx.doi.org/10.1175/JCLI-D-14-00364.1
2015
Ukkola AM; Pitman AJ; Decker M; De Kauwe MG; Abramowitz G; Kala J; Wang YP, 2015, 'Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model', Hydrology and Earth System Sciences Discussions, vol. 12, pp. 10789 - 10825
2015
Mendoza PA; Clark MP; Barlage M; Rajagopalan B; Samaniego L; Abramowitz G; Gupta H, 2015, 'Are we unnecessarily constraining the agility of complex process-based models?', Water Resources Research, vol. 51, pp. 716 - 728, http://dx.doi.org/10.1002/2014WR015820
2015
Kala J; De Kauwe MG; Pitman AJ; Lorenz R; Medlyn BE; Wang Y-P; Lin Y-S; Abramowitz G, 2015, 'Implementation of an optimal stomatal conductance model in the Australian Community Climate Earth Systems Simulator (ACCESS1.3b)', Geoscientific Model Development Discussions, vol. 8, pp. 5235 - 5264, http://dx.doi.org/10.5194/gmdd-8-5235-2015
2015
Kala J; Decker M; Exbrayat J-F; Pitman AJ; Carouge C; Evans JP; Abramowitz G; Mocko D, 2014, 'Influence of leaf area index prescriptions on simulations of heat, moisture, and carbon fluxes', Journal of Hydrometeorology, vol. 15, pp. 489 - 503, http://dx.doi.org/10.1175/JHM-D-13-063.1
2014
Exbrayat JF; Pitman AJ; Abramowitz G, 2014, 'Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100', Geoscientific Model Development, vol. 7, pp. 2683 - 2692, http://dx.doi.org/10.5194/gmd-7-2683-2014
2014
Haughton N; Abramowitz G; Pitman A; Phipps SJ, 2014, 'On the generation of climate model ensembles', Climate Dynamics, vol. 43, pp. 2297 - 2308, http://dx.doi.org/10.1007/s00382-014-2054-3
2014
Exbrayat JF; Pitman AJ; Abramowitz G, 2014, 'Disentangling residence time and temperature sensitivity of microbial decomposition in a global soil carbon model', Biogeosciences, vol. 11, pp. 6999 - 7008, http://dx.doi.org/10.5194/bg-11-6999-2014
2014
Vargas R; Sonnentag O; Abramowitz G; Carrara A; Chen JM; Ciais P; Correia A; Keenan TF; Kobayashi H; Ourcival JM; Papale D; Pearson D; Pereira JS; Piao S; Rambal S; Baldocchi DD, 2013, 'Drought Influences the Accuracy of Simulated Ecosystem Fluxes: A Model-Data Meta-analysis for Mediterranean Oak Woodlands', Ecosystems, vol. 16, pp. 749 - 764, http://dx.doi.org/10.1007/s10021-013-9648-1
2013
Evans JP; Ji F; Abramowitz G; Ekström M, 2013, 'Optimally choosing small ensemble members to produce robust climate simulations', Environmental Research Letters, vol. 8, http://dx.doi.org/10.1088/1748-9326/8/4/044050
2013
Hall M; Medlyn BE; Abramowitz G; Franklin O; Räntfors M; Linder S; Wallin G, 2013, 'Which are the most important parameters for modelling carbon assimilation in boreal Norway spruce under elevated [CO2] and temperature conditions?', Tree Physiology, vol. 33, pp. 1156 - 1176, http://dx.doi.org/10.1093/treephys/tpt014
2013
Exbrayat JF; Pitman AJ; Abramowitz G; Wang YP, 2013, 'Sensitivity of net ecosystem exchange and heterotrophic respiration to parameterization uncertainty', Journal of Geophysical Research D: Atmospheres, vol. 118, pp. 1640 - 1651, http://dx.doi.org/10.1029/2012JD018122
2013
Exbrayat JF; Pitman A; Zhang Q; Abramowitz G; Wang YP, 2013, 'Examining soil carbon uncertainty in a global model: response of microbial decomposition to temperature, moisture and nutrient limitation', Biogeosciences, vol. 10, pp. 7095 - 7108, http://dx.doi.org/10.5194/bg-10-7095-2013
2013
Sasse TP; McNeil B; Abramowitz G, 2013, 'A new constraint on global air-sea CO2 fluxes using bottle carbon data', Geophysical Research Letters, vol. 40, pp. 1594 - 1599, http://dx.doi.org/10.1002/grl.50342
2013
Bishop CH; Abramowitz G, 2013, 'Climate model dependence and the replicate Earth paradigm', Climate Dynamics, vol. 41, pp. 885 - 900, http://dx.doi.org/10.1007/s00382-012-1610-y
2013
Avila FB; Pitman AJ; Donat MG; Alexander LV; Abramowitz G, 2012, 'Climate model simulated changes in temperature extremes due to land cover change', Journal of Geophysical Research-Atmospheres, vol. 117, pp. 4621 - 4640, http://dx.doi.org/10.1029/2011JD016382
2012
Luo YQ; Randerson J; Abramowitz G; Bacour C; Blyth E; Carvalhais N; Ciais P; Dalmonech D; Fisher J; Fisher R; Friedlingstein P; Hibbard K; Hoffman F; Huntzinger D; Jones CD; Koven C; Lawrence D; Li DJ; Mahecha M; Niu SL; Norby R; Piao SL; Qi X; Peylin P; Prentice IC; Riley W; Reichstein M; Schwalm C; Wang Y; Xia JY; Zaehle S; Zhou XH, 2012, 'A framework for benchmarking land models', Biogeosciences, vol. 9, pp. 3857 - 3874, http://dx.doi.org/10.5194/bg-9-3857-2012
2012
Abramowitz G, 2012, 'Towards a public, standardized, diagnostic benchmarking system for land surface models', Geoscientific Model Development, vol. 5, pp. 819 - 827, http://dx.doi.org/10.5194/gmd-5-819-2012
2012
Sasse TP; McNeil BI; Abramowitz G, 2012, 'A novel method for diagnosing seasonal to inter-annual surface ocean carbon dynamics from bottle data using neural networks', Biogeosciences Discussions, vol. 9, pp. 15329 - 15380, http://dx.doi.org/10.5194/bgd-9-15329-2012
2012
Gupta HV; Clark MP; Vrugt JA; Abramowitz G; Ye M, 2012, 'Towards a comprehensive assessment of model structural adequacy', Water Resources Research, vol. 48, pp. W08301, http://dx.doi.org/10.1029/2011WR011044
2012
Sasse TP; McNeil BI; Abramowitz G, 2012, 'A novel method for diagnosing seasonal to inter-annual surface ocean carbon dynamics from bottle data using neural networks', Biogeosciences Discussions, vol. 9, pp. 15329 - 15380, http://dx.doi.org/10.5194/bgd-9-15329-2012
2012
Abramowitz G; Pouyanne L; Ajami H, 2012, 'On the information content of surface meteorology for downward atmospheric long-wave radiation synthesis', Geophysical Research Letters, vol. 39, pp. L04808, http://dx.doi.org/10.1029/2011GL050726
2012
Mao J; Phipps SJ; Pitman AJ; Wang Y; Abramowitz G; Pak B, 2011, 'The CSIRO Mk3L climate system model v1.0 coupled to the CABLE land surface scheme v1.4b: Evaluation of the control climatology', Geoscientific Model Development, vol. 4, pp. 1115 - 1131, http://dx.doi.org/10.5194/gmd-4-1115-2011
2011
Pitman AJ; Avila F; Abramowitz G; Wang Y; Phipps SJ; De Noblet-Ducoudre N, 2011, 'Importance of background climate in determining impact of land-cover change on regional climate', Nature Climate Change, vol. 1, pp. 472 - 475, http://dx.doi.org/10.1038/nclimate1294
2011
Wang Y; Kowalczyk E; Leuning R; Abramowitz G; Raupach MR; Pak B; Luhar A; van Gorsel E, 2011, 'Diagnosing errors in a land surface model (CABLE) in the time and frequency domains', Journal of Geophysical Research, vol. 116, pp. Article number: G01034, http://dx.doi.org/10.1029/2010JG001385
2011
Mao J; Pitman AJ; Phipps SJ; Abramowitz G; Wang Y, 2011, 'Global and regional coupled climate sensitivity to the parameterization of rainfall interception', Climate Dynamics, vol. 37, pp. 171 - 186, http://dx.doi.org/10.1007/s00382-010-0862-7
2011
Macadam I; Pitman AJ; Whetton P; Abramowitz G, 2010, 'Ranking climate models by performance using actual values and anomalies: Implications for climate change impact assessments', Geophysical Research Letters, vol. 37, pp. L16704, http://dx.doi.org/10.1029/2010GL043877
2010
Abramowitz G, 2010, 'Model independence in multi-model ensemble prediction', Australian Meteorological and Oceanographic Journal, vol. 59, pp. 3 - 6, http://www.bom.gov.au/amm/docs/2010/abramowitz.pdf
2010
Abramowitz G; Gupta H, 2008, 'Toward a model space and model independence metric', Geophysical Research Letters, vol. 35, http://dx.doi.org/10.1029/2007GL032834
2008
Abramowitz G; Leuning R; Clark M; Pitman AJ, 2008, 'Evaluating the performance of land surface models', Journal of Climate, vol. 21, pp. 5468 - 5481, http://dx.doi.org/10.1175/2008JCLI2378.1
2008
Abramowitz G; Pitman AJ; Gupta H; Kowalczyk EA; Wang Y, 2007, 'Systematic Bias in Land Surface Models', Journal of Hydrometeorology, vol. 8 (5), pp. 989 - 1001, http://dx.doi.org/10.1175/JHM628.1
2007
Abramowitz G; Gupta H; Pitman AJ; Wang Y; Leuning R; Cleugh H; Hsu K, 2006, 'Neural Error Regression Diagnosis (NERD): a tool for model bias identification and prognostic data assimilation', Journal of Hydrometeorology, vol. 8, pp. 989 - 1001, http://dx.doi.org/10.1175/JHM479.1
2006
Abramowitz G, 2005, 'Towards a benchmark for land surface models', Geophysical Research Letters, vol. 32, pp. L22702, http://dx.doi.org/10.1029/2005GL024419
2005
Pitman AJ; Abramowitz G, 2005, 'What are the limits to statistical error correction in land surface schemes when projecting the future', Geophysical Research Letters, vol. 32, pp. L14403, http://dx.doi.org/10.1029/2005GL023158
2005
Hobeichi S; Abramowitz G; Evans J; Beck HE, 'Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product', Hydrology and Earth System Sciences Discussions, pp. 1 - 26, http://dx.doi.org/10.5194/hess-2018-386
Lipson MJ; Grimmond S; Best MJ; Abramowitz G; Pitman AJ; Ward HC, 'Urban-PLUMBER: A new evaluation and benchmarking project for land surface models in urban areas', , http://dx.doi.org/10.5194/egusphere-egu2020-20987
Ukkola AM; De Kauwe MG; Roderick ML; Abramowitz G; Pitman AJ, 'Robust future changes in meteorological drought in CMIP6 projections despite uncertainty in precipitation', , http://dx.doi.org/10.1002/essoar.10502465.1
Conference Papers
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Wang B; Liu DL; Macadam I; Alexander LV; Abramowitz G; Yu Q, 2015, 'Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in eastern Australia', in Weber T; McPhee MJ; Anderssen RS (eds.), Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015, MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC, Gold Coast, AUSTRALIA, pp. 1565 - 1571, presented at 21st International Congress on Modelling and Simulation (MODSIM) held jointly with the 23rd National Conference of the Australian-Society-for-Operations-Research / DSTO led Defence Operations Research Symposium (DORS, Gold Coast, AUSTRALIA, 29 November 2015 - 04 December 2015, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000410535400224&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
2015
Reports
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Laws RM; Raupach MR; Abramowitz G; Dharssi I; Haverd V; Pitman AJ; Renzullo V; Van DA; Wang , 2013, The Community Atmosphere Biosphere Land Exchange (CABLE) model Roadmap for 2012-2017, The Centre for Australian Weather and Climate Research, Melbourne, CAWCR technical report, 057, http://www.cawcr.gov.au/publications/technicalreports
2013
Kowalczyk EA; Wang Y; Law RM; McGregor JL; Abramowitz G, 2006, The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model, CSIRO, The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model, Research Technical Paper 013
2006
Working Papers
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Knutti R; Abramowitz G; Collins M; Eyring V; Glecker PJ; Hewitson B; Mearns L, 2010, Good Practice Guidance Paper on Assessing and Combining Multi Model Climate Projections, University of Bern, Switzerland, Meeting Report of the IPCC Working Group I Technical Support Unit, http://dx.doi.org
2010
Other
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Haughton N; Abramowitz G; De Kauwe MG; Pitman AJ, Does predictability of fluxes vary between FLUXNET sites?, Copernicus GmbH, http://dx.doi.org/10.5194/bg-2018-179-supplement
van der Horst SVJ; Pitman AJ; De Kauwe MG; Ukkola A; Abramowitz G; Isaac P, How representative are FLUXNET measurements of surface fluxes during temperature extremes?, Copernicus GmbH, http://dx.doi.org/10.5194/bg-2018-502-supplement