By Professor Gab Abramowitz

Preprints

Rampal N; Gibson PB; Sherwood S; Abramowitz G; Hobeichi S, 2024, A Robust Generative Adversarial Network Approach for Climate Downscaling and Weather Generation, , http://dx.doi.org/10.22541/essoar.171352077.78968815/v1

Wang L; Abramowitz G; Wang Y-P; Pitman A; Viscarra Rossel R, 2024, An ensemble estimate of Australian soil organic carbon using machine learning and process-based modelling, , http://dx.doi.org/10.5194/egusphere-2023-3016

Abramowitz G; Ukkola A; Hobeichi S; Cranko Page J; Lipson M; De Kauwe M; Green S; Brenner C; Frame J; Nearing G; Clark M; Best M; Anthoni P; Arduini G; Boussetta S; Caldararu S; Cho K; Cuntz M; Fairbairn D; Ferguson C; Kim H; Kim Y; Knauer J; Lawrence D; Luo X; Malyshev S; Nitta T; Ogee J; Oleson K; Ottlé C; Peylin P; de Rosnay P; Rumbold H; Su B; Vuichard N; Walker A; Wang-Faivre X; Wang Y; Zeng Y, 2024, On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results, , http://dx.doi.org/10.5194/egusphere-2023-3084

Devanand A; Falster G; Gillett Z; Hobeichi S; Holgate C; Jin C; Mu M; Parker T; Rifai S; Rome K; Stojanovic M; Vogel E; Abram N; Abramowitz G; Coats S; Evans J; Gallant A; Pitman A; Power S; Rauniyar S; Taschetto A; Ukkola A, 2023, Australia’s Tinderbox Drought: an extreme natural event likely worsened by human-caused climate change, , http://dx.doi.org/10.31223/x53q2b

Teckentrup L; De Kauwe MG; Abramowitz G; Pitman AJ; Ukkola AM; Hobeichi S; François B; Smith B, 2022, Opening Pandora's box: How to constrain regional projections of the carbon cycle, , http://dx.doi.org/10.5194/egusphere-2022-623

Cranko Page J; De Kauwe MG; Abramowitz G; Cleverly J; Hinko-Najera N; Hovenden MJ; Liu Y; Pitman AJ; Ogle K, 2021, Examining the Role of Environmental Memory in the Predictability of Carbon and Water Fluxes Across Australian Ecosystems, , http://dx.doi.org/10.5194/bg-2021-254

Hobeichi S; Abramowitz G; Evans J, 2020, Robust historical evapotranspiration trends across climate regimes, , http://dx.doi.org/10.5194/hess-2020-595

Abramowitz G; Herger N; Gutmann E; Hammerling D; Knutti R; Leduc M; Lorenz R; Pincus R; Schmidt GA, 2018, Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing, , http://dx.doi.org/10.5194/esd-2018-51

Herger N; Abramowitz G; Knutti R; Angélil O; Lehmann K; Sanderson BM, 2017, Selecting a climate model subset to optimise key ensemble properties, , http://dx.doi.org/10.5194/esd-2017-28

Exbrayat J-F; Pitman AJ; Abramowitz G, 2014, Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100, , http://dx.doi.org/10.5194/gmdd-7-3481-2014

Exbrayat J-F; Pitman AJ; Abramowitz G, 2014, Disentangling residence time and temperature sensitivity of microbial decomposition in a global soil carbon model, , http://dx.doi.org/10.5194/bgd-11-4995-2014

Abramowitz G, 2012, Towards a public, standardized, diagnostic benchmarking system for land surface models, , http://dx.doi.org/10.5194/gmdd-5-549-2012

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 YP; Xia JY; Zaehle S; Zhou XH, 2012, A framework of benchmarking land models, , http://dx.doi.org/10.5194/bgd-9-1899-2012

Mao J; Phipps SJ; Pitman AJ; Wang YP; 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, , http://dx.doi.org/10.5194/gmdd-4-1611-2011

Devanand A; Evans JP; Abramowitz G; Hobeichi S; Pitman AJ, ­­­What is the Probability that a Drought Will Break in Australia?, , http://dx.doi.org/10.2139/ssrn.4251061

Grose M; Narsey S; Trancoso R; Mackallah C; Delage F; Dowdy A; Di Virgilio G; Watterson I; Dobrohotoff P; Rashid HA; Rauniyar S; Henley B; Thatcher M; Syktus J; Abramowitz G; Evans JP; Su C-H; Takbash A, A Cmip6-Based Multi-Model Downscaling Ensemble to Underpin Climate Change Services in Australia, , http://dx.doi.org/10.2139/ssrn.4210919

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