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Dr Sanaa Hobeichi

Dr Sanaa Hobeichi

Senior Research Associate

 

PhD Climate Science | UNSW Sydney 

MSc Environmental Sciences -  Major Remote Sensing | Qatar University

BSc Applied Mathematics - Major Computer Science | Lebanese University

Science
Weather of the 21st Century

Sanaa Hobeichi is a Senior Research Associate at the Climate Change Research Centre and the ARC Centre of Excellence for the weather of the 21st Century. She is interested in applying machine learning (ML) to advance climate and weather research. Her research focuses on using ML in climate downscaling and improving the prediction of weather and climate extremes. 

Sanaa is the co-chair of the Machine Learning for Climate and Weather Community Working Group at the ACCESS-NRI. 

Sanaa has a background in Climate Science, Environmental Science, Applied Mathematics, and Computer Science and she is a former International Baccalaureate teacher.
E-mail
s.hobeichi@unsw.edu.au
  • Journal articles | 2024
    Devanand A; Falster GM; Gillett ZE; Hobeichi S; Holgate CM; Jin C; Mu M; Parker T; Rifai SW; Rome KS; Stojanovic M; Vogel E; Abram NJ; Abramowitz G; Coats S; Evans JP; Gallant AJE; Pitman AJ; Power SB; Rauniyar SP; Taschetto AS; Ukkola AM, 2024, 'Australia’s Tinderbox Drought: An extreme natural event likely worsened by human-caused climate change', Science Advances, 10, http://dx.doi.org/10.1126/sciadv.adj3460
    Journal articles | 2024
    Hobeichi S; Shao Y; Rampal N; Bittner M; Abramowitz G, 2024, 'Revisiting Tabular Machine Learning and Sequential Models to Advance Climate Downscaling', , http://dx.doi.org/10.5194/egusphere-egu24-7111
    Journal articles | 2024
    Mu M; Sabot MEB; Ukkola AM; Rifai SW; De Kauwe MG; Hobeichi S; Pitman AJ, 2024, 'Examining the role of biophysical feedbacks on simulated temperature extremes during the Tinderbox Drought and Black Summer bushfires in southeast Australia', Weather and Climate Extremes, 45, http://dx.doi.org/10.1016/j.wace.2024.100703
    Journal articles | 2024
    Rampal N; Hobeichi S; Gibson PB; Baño-Medina J; Abramowitz G; Beucler T; González-Abad J; Chapman W; Harder P; Gutiérrez JM, 2024, 'Enhancing Regional Climate Downscaling through Advances in Machine Learning', Artificial Intelligence for the Earth Systems, 3, http://dx.doi.org/10.1175/aies-d-23-0066.1
    Journal articles | 2024
    Shao Y; Bishop C; Abramowitz G; Hobeichi S, 2024, 'Improving Multi-model Ensembles of Climate Projections through Time Variability Correction and Ensemble Dependence Transformation', , http://dx.doi.org/10.5194/egusphere-egu24-6796
    Journal articles | 2024
    Shao Y; Bishop CH; Hobeichi S; Nishant N; Abramowitz G; Sherwood S, 2024, 'Time Variability Correction of CMIP6 Climate Change Projections', Journal of Advances in Modeling Earth Systems, 16, http://dx.doi.org/10.1029/2023MS003640
    Journal articles | 2023
    Chang Z; Fan L; Wigneron JP; Wang YP; Ciais P; Chave J; Fensholt R; Chen JM; Yuan W; Ju W; Li X; Jiang F; Wu M; Chen X; Qin Y; Frappart F; Li X; Wang M; Liu X; Tang X; Hobeichi S; Yu M; Ma M; Wen J; Xiao Q; Shi W; Liu D; Yan J, 2023, 'Estimating Aboveground Carbon Dynamic of China Using Optical and Microwave Remote-Sensing Datasets from 2013 to 2019', Journal of Remote Sensing (United States), 3, http://dx.doi.org/10.34133/remotesensing.0005
    Journal articles | 2023
    Devanand A; Evans JP; Abramowitz G; Hobeichi S; Pitman AJ, 2023, 'What is the probability that a drought will break in Australia?', Weather and Climate Extremes, 41, http://dx.doi.org/10.1016/j.wace.2023.100598
    Journal articles | 2023
    Hobeichi S; Nishant N; Shao Y; Abramowitz G; Pitman A; Sherwood S; Bishop C; Green S, 2023, 'Using Machine Learning to Cut the Cost of Dynamical Downscaling', Earth's Future, 11, http://dx.doi.org/10.1029/2022EF003291
    Journal articles | 2023
    Nishant N; Hobeichi S; Sherwood S; Abramowitz G; Shao Y; Bishop C; Pitman A, 2023, 'Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation', Environmental Research Letters, 18, http://dx.doi.org/10.1088/1748-9326/ace463
    Journal articles | 2023
    Teckentrup L; De Kauwe MG; Abramowitz G; Pitman AJ; Ukkola AM; Hobeichi S; François B; Smith B, 2023, 'Opening Pandora's box: Reducing global circulation model uncertainty in Australian simulations of the carbon cycle', Earth System Dynamics, 14, pp. 549 - 576, http://dx.doi.org/10.5194/esd-14-549-2023
    Journal articles | 2022
    Beringer J; Moore CE; Cleverly J; Campbell DI; Cleugh H; De Kauwe MG; Kirschbaum MUF; Griebel A; Grover S; Huete A; Hutley LB; Laubach J; Van Niel T; Arndt SK; Bennett AC; Cernusak LA; Eamus D; Ewenz CM; Goodrich JP; Jiang M; Hinko-Najera N; Isaac P; Hobeichi S; Knauer J; Koerber GR; Liddell M; Ma X; Macfarlane C; McHugh ID; Medlyn BE; Meyer WS; Norton AJ; Owens J; Pitman A; Pendall E; Prober SM; Ray RL; Restrepo-Coupe N; Rifai SW; Rowlings D; Schipper L; Silberstein RP; Teckentrup L; Thompson SE; Ukkola AM; Wall A; Wang YP; Wardlaw TJ; Woodgate W, 2022, 'Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network', Global Change Biology, 28, pp. 3489 - 3514, http://dx.doi.org/10.1111/gcb.16141
    Journal articles | 2022
    Hobeichi S; Abramowitz G; Evans JP; Ukkola A, 2022, 'Toward a Robust, Impact-Based, Predictive Drought Metric', Water Resources Research, 58, http://dx.doi.org/10.1029/2021WR031829
    Journal articles | 2022
    Hobeichi S; Abramowitz G; Ukkola AM; De Kauwe M; Pitman A; Evans JP; Beck H, 2022, 'Reconciling historical changes in the hydrological cycle over land', npj Climate and Atmospheric Science, 5, http://dx.doi.org/10.1038/s41612-022-00240-y
    Journal articles | 2021
    Chang Z; Hobeichi S; Wang YP; Tang X; Abramowitz G; Chen Y; Cao N; Yu M; Huang H; Zhou G; Wang G; Ma K; Du S; Li S; Han S; Ma Y; Wigneron JP; Fan L; Saatchi SS; Yan J, 2021, 'New forest aboveground biomass maps of China integrating multiple datasets', Remote Sensing, 13, http://dx.doi.org/10.3390/rs13152892
    Journal articles | 2021
    Hobeichi S; Abramowitz G; Evans JP, 2021, 'Robust historical evapotranspiration trends across climate regimes', Hydrology and Earth System Sciences, 25, pp. 3855 - 3874, http://dx.doi.org/10.5194/hess-25-3855-2021
    Journal articles | 2021
    Hobeichi S, 2021, 'Towards a robust, impact-based, predictive drought metric', , http://dx.doi.org/10.1002/essoar.10507062.1
    Journal articles | 2021
    Mu M; De Kauwe MG; Ukkola AM; Pitman AJ; Guo W; Hobeichi S; Briggs PR, 2021, 'Exploring how groundwater buffers the influence of heatwaves on vegetation function during multi-year droughts', , http://dx.doi.org/10.5194/esd-2021-31
    Journal articles | 2021
    Mu M; De Kauwe MG; Ukkola AM; Pitman AJ; Guo W; Hobeichi S; Briggs PR, 2021, 'Exploring how groundwater buffers the influence of heatwaves on vegetation function during multi-year droughts', Earth System Dynamics, 12, pp. 919 - 938, http://dx.doi.org/10.5194/esd-12-919-2021
    Journal articles | 2020
    Hobeichi S; Abramowitz G; Contractor S; Evans J, 2020, 'Evaluating precipitation datasets using surface water and energy budget closure', Journal of Hydrometeorology, 21, pp. 989 - 1009, http://dx.doi.org/10.1175/JHM-D-19-0255.1
    Journal articles | 2020
    Hobeichi S; Abramowitz G; Evans J, 2020, 'Conserving land-atmosphere synthesis suite (CLASS)', Journal of Climate, 33, pp. 1821 - 1844, http://dx.doi.org/10.1175/JCLI-D-19-0036.1
    Journal articles | 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, 23, pp. 851 - 870, http://dx.doi.org/10.5194/hess-23-851-2019
    Journal articles | 2018
    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, 22, pp. 1317 - 1336, http://dx.doi.org/10.5194/hess-22-1317-2018
  • Preprints | 2024
    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
    Other | 2024
    Grant M; Ukkola A; Vogel E; Hobeichi S; Pitman A; Hartley A, 2024, Understanding past changes in Australian droughts and their drivers, http://dx.doi.org/10.5194/egusphere-egu24-1738
    Preprints | 2024
    Rampal N; Gibson PB; Sherwood S; Abramowitz G; Hobeichi S, 2024, A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation, http://dx.doi.org/10.22541/essoar.171352077.78968815/v2
    Preprints | 2024
    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
    Preprints | 2023
    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
    Preprints | 2022
    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
    Preprints | 2020
    Hobeichi S; Abramowitz G; Evans J, 2020, Robust historical evapotranspiration trends across climate regimes, http://dx.doi.org/10.5194/hess-2020-595
    Conference Papers | 2015
    Warren C; DuPont J; Abdel-Moati M; Hobeichi S; Palandro D; Purkis S, 2015, 'Toward the development of a remote sensing and field data framework to aid management decisions in the state of Qatar coastal environment', in Qatar University Life Science Symposium-QULSS 2015 Global Changes: The Arabian Gulf Ecosystem, Hamad bin Khalifa University Press (HBKU Press), presented at Qatar University Life Science Symposium-QULSS 2015 Global Changes: The Arabian Gulf Ecosystem, http://dx.doi.org/10.5339/qproc.2015.qulss2015.13
    Preprints |
    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

My Research Supervision

Ananya Anand - Honours 
Thesis: Developing a Machine Learning model to generate high-resolution land surface temperatures for a city vulnerable to lethal heatwaves 
Supervisory Panel: Prof. Katrin Meissner,  A/Prof. Negin Nazarian, Dr. Sanaa Hobeichi, Dr. Marzie Naserikia

Husnain Asif - PhD 
Thesis: TBC 
Supervisory Panel: A/Prof. Sarah Kirkpatrick, Prof. John Taylor, Dr. Sanaa Hobeichi