Research Associate

Dr Sanaa Hobeichi

PhD Climate Science | UNSW Sydney

MSc Environmental Sciences - Major Remote Sensing | Qatar University

BSc Applied Mathematics - Major Computer Science | Lebanese University

Science

Climate Change Research Centre

Sanaa Hobeichi is a post-doctoral researcher at the Climate Change Research Centre and the ARC Centre of Excellence for Climate Extremes (CLEX). She is interested in applying machine learning (ML) to aid climate change research. Her research focuses on using ML to improve the predictability of climate extremes and to enhance the spatial resolution of global climate models’ output.

Sanaa is part of the knowledge brokerage team at CLEX, and she leads a school resources development initiative. In this role, she works with secondary school teachers, climate experts, and climate science communication specialists to develop teaching resources that use climate science research to teach topics in the Australian Curriculum.

Sanaa has a background in mathematics, environmental science, and computer science and she is a former International Baccalaureate teacher.

E-mail

s.hobeichi@unsw.edu.au

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 | 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