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 | 2025

Hobeichi S; Shao Y; Rampal N; Bittner M; Abramowitz G, 2025, 'Revisiting Tabular Machine Learning and Sequential Models to Advance Climate Downscaling', , http://dx.doi.org/10.5194/egusphere-egu24-7111

Journal articles | 2025

Holgate CM; Falster GM; Gillett ZE; Goswami P; Grant MO; Hobeichi S; Hoffmann D; Jiang X; Jin C; Lu X; Mu M; Page JC; Parker TJ; Vogel E; Abram NJ; Evans JP; Gallant AJE; Henley BJ; Kala J; King AD; Maher N; Nguyen H; Pitman AJ; Power SB; Rauniyar SP; Taschetto AS; Ukkola AM, 2025, 'Physical mechanisms of meteorological drought development, intensification and termination: an Australian review', Communications Earth and Environment, 6, http://dx.doi.org/10.1038/s43247-025-02179-3

Journal articles | 2025

Lu J; Li W; Hobeichi S; Azad SA; Nazarian N, 2025, 'Machine learning predicts pedestrian wind flow from urban morphology and prevailing wind direction', Environmental Research Letters, http://dx.doi.org/10.1088/1748-9326/adc148

Journal articles | 2025

Rampal N; Gibson PB; Sherwood S; Abramowitz G; Hobeichi S, 2025, 'A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation', Journal of Advances in Modeling Earth Systems, 17, http://dx.doi.org/10.1029/2024MS004668

Journal articles | 2025

Richardson D; Hobeichi S; Sweet LB; Rey-Costa E; Abramowitz G; Pitman AJ, 2025, 'Predicting Australian energy demand variability using weather data and machine learning', Environmental Research Letters, 20, http://dx.doi.org/10.1088/1748-9326/ad9b3b

Journal articles | 2025

Shao Y; Bishop C; Abramowitz G; Hobeichi S, 2025, '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

Abramowitz G; Ukkola A; Hobeichi S; Page JC; Lipson M; De Kauwe MG; 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 CR; 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 AP; Wang-Faivre X; Wang Y; Zeng Y, 2024, 'On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results', Biogeosciences, 21, pp. 5517 - 5538, http://dx.doi.org/10.5194/bg-21-5517-2024

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; Abramowitz G; Sen Gupta A; Taschetto AS; Richardson D; Rampal N; Ayat H; Alexander LV; Pitman AJ, 2024, 'How well do climate modes explain precipitation variability?', npj Climate and Atmospheric Science, 7, http://dx.doi.org/10.1038/s41612-024-00853-5

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 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
Other | 2025

Grant M; Ukkola A; Vogel E; Hobeichi S; Pitman A; Hartley A, 2025, Understanding past changes in Australian droughts and their drivers, http://dx.doi.org/10.5194/egusphere-egu24-1738

Preprints | 2025

Grant MO; Ukkola AM; Vogel E; Hobeichi S; Pitman AJ; Borowiak AR; Fowler K, 2025, Historical trends of seasonal droughts in Australia, http://dx.doi.org/10.5194/egusphere-2024-4024

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

Preprints | 2024

Curran D; Saleem H; Hobeichi S; Salim F, 2024, Resolution-Agnostic Transformer-based Climate Downscaling, http://dx.doi.org/10.48550/arxiv.2411.14774

Preprints | 2024

Lu J; Li W; Hobeichi S; Azad S; Nazarian N, 2024, Machine Learning Predicts Pedestrian Wind Flow from Urban Morphology and Prevailing Wind Direction, http://dx.doi.org/10.31223/x5f717

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, Dr. Sanaa Hobeichi, Dr. Marzie Naserikia, and A/Prof. Negin Nazarian,

Husnain Asif - PhD
Thesis: Advancing climate model downscaling for southeast Australia by integrating latent diffusion models with NARCliM 2.0 ensemble
Supervisory Panel: A/Prof. Sarah Kirkpatrick, Prof. John Taylor, Dr. Sanaa Hobeichi
Supervisory Panel: A/Prof. Sarah Perkins-Kirkpatrick, Prof. John Taylor, Dr. Sanaa Hobeichi

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Dr Sanaa Hobeichi