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 has a background in Climate Science, Environmental Science, Applied Mathematics, and Computer Science and she is a former International Baccalaureate teacher.
De Rijke M; Van Den Hurk B; Salim F; Khourdajie AA; Bai N; Calzone R; Curran D; Demil G; Frew L; Gießing N; Gupta MK; Heuss M; Hobeichi S; Huard D; Kang J; Lucic A; Mallick T; Nath S; Okem A; Pernici B; Rajapakse T; Saleem H; Scells H; Schneider N; Spina D; Tian Y; Totin E; Trotman A; Valavandan R; Workneh D; Xie Y, 2025, 'Report on the 1st Workshop on Information Retrieval for Climate Impact (MANILA24) at SIGIR 2024', Annals of the Entomological Society of America, 59, http://dx.doi.org/10.1145/3769733.3769737
Journal articles | 2025
Grant MO; Ukkola AM; Vogel E; Hobeichi S; Pitman AJ; Borowiak AR; Fowler K, 2025, 'Historical trends of seasonal droughts in Australia', Hydrology and Earth System Sciences, 29, pp. 5555 - 5573, http://dx.doi.org/10.5194/hess-29-5555-2025
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 S; Nazarian N, 2025, 'Machine Learning Predicts Pedestrian Wind Flowfrom Urban Morphology and Prevailing WindDirection', , http://dx.doi.org/10.5194/icuc12-101
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, 20, http://dx.doi.org/10.1088/1748-9326/adc148
Journal articles | 2025
Nazarian N; Anand A; Hobeichi S; Naserikia M; Abram N; Slater L; Perkins-Kirkpatrick S; Meissner KJ, 2025, 'Predicting lethal humidity and associated excess mortality using machine learning and high-resolution datasets ', , http://dx.doi.org/10.5194/icuc12-1109
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
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 | 2025
Curran DJ; Hobeichi S; Saleem H; Xue H; Salim FD, 2025, Generate the Forest before the Trees -- A Hierarchical Diffusion model for Climate Downscaling, http://dx.doi.org/10.48550/arxiv.2506.19391
Preprints | 2025
Falster G; Abramowitz G; Hobeichi S; Hughes C; Treble P; Abram NJ; Bird MI; Cauquoin A; Dixon B; Drysdale R; Jin C; Munksgaard N; Proemse B; Tyler JJ; Werner M; Tadros C, 2025, High resolution monthly precipitation isotope estimates across Australia from machine learning, http://dx.doi.org/10.5194/egusphere-2025-2458
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 | 2025
Naserikia M; Hart MA; Shamsabadi EA; Meissner K; Hobeichi S; Bechtel B; Nazarian N, 2025, Developing gridded air temperature data over cities using machine learning, http://dx.doi.org/10.21203/rs.3.rs-7987756/v1
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
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
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
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 Perkins-Kirkpatrick, Prof. John Taylor, Dr. Sanaa Hobeichi
