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Sanaa Hobeichi
Sanaa Hobeichi
The University of New South Wales, Sydney Australia
Verified email at unsw.edu.au
Title
Cited by
Cited by
Year
Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate
S Hobeichi, G Abramowitz, J Evans, A Ukkola
Hydrology and Earth System Sciences 22 (2), 1317-1336, 2018
562018
Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product
S Hobeichi, G Abramowitz, J Evans, HE Beck
Hydrology and Earth System Sciences 23 (2), 851-870, 2019
372019
Remote sensing of Qatar nearshore habitats with perspectives for coastal management
C Warren, J Dupont, M Abdel-Moati, S Hobeichi, D Palandro, S Purkis
Marine pollution bulletin 105 (2), 641-653, 2016
272016
Conserving land–atmosphere synthesis suite (CLASS)
S Hobeichi, G Abramowitz, J Evans
Journal of Climate 33 (5), 1821-1844, 2020
262020
Exploring how groundwater buffers the influence of heatwaves on vegetation function during multi-year droughts
M Mu, MG De Kauwe, AM Ukkola, AJ Pitman, W Guo, S Hobeichi, ...
Earth System Dynamics Discussions 2021, 1-29, 2021
252021
Robust historical evapotranspiration trends across climate regimes
S Hobeichi, G Abramowitz, JP Evans
Hydrology and Earth System Sciences 25 (7), 3855-3874, 2021
202021
Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network
J Beringer, CE Moore, J Cleverly, DI Campbell, H Cleugh, MG De Kauwe, ...
Global Change Biology 28 (11), 3489-3514, 2022
162022
Evaluating precipitation datasets using surface water and energy budget closure
S Hobeichi, G Abramowitz, S Contractor, J Evans
Journal of Hydrometeorology 21 (5), 989-1009, 2020
152020
Toward a robust, impact‐based, predictive drought metric
S Hobeichi, G Abramowitz, JP Evans, A Ukkola
Water Resources Research 58 (2), e2021WR031829, 2022
142022
New Forest aboveground biomass maps of China integrating multiple datasets
Z Chang, S Hobeichi, YP Wang, X Tang, G Abramowitz, Y Chen, N Cao, ...
Remote Sensing 13 (15), 2892, 2021
112021
Using machine learning to cut the cost of dynamical downscaling
S Hobeichi, N Nishant, Y Shao, G Abramowitz, A Pitman, S Sherwood, ...
Earth's Future 11 (3), e2022EF003291, 2023
92023
Reconciling historical changes in the hydrological cycle over land
S Hobeichi, G Abramowitz, AM Ukkola, M De Kauwe, A Pitman, JP Evans, ...
npj Climate and Atmospheric Science 5 (1), 17, 2022
92022
Estimating Aboveground Carbon Dynamic of China Using Optical and Microwave Remote-Sensing Datasets from 2013 to 2019
Z Chang, L Fan, JP Wigneron, YP Wang, P Ciais, J Chave, R Fensholt, ...
Journal of Remote Sensing 3, 0005, 2023
82023
Derived Optimal Linear Combination Evapotranspiration-DOLCE v3. 0
S Hobeichi, G Abramowitz, JP Evans
NCI National Research Data Collection 10, 2021
72021
Reconciling historical changes in the hydrological cycle over land. npj Climate and Atmospheric Science, 5, 17
S Hobeichi, G Abramowitz, AM Ukkola, M De Kauwe, A Pitman, JP Evans, ...
62022
Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation
N Nishant, S Hobeichi, S Sherwood, G Abramowitz, Y Shao, C Bishop, ...
Environmental Research Letters 18 (9), 094006, 2023
52023
Toward the development of a remote sensing and field data framework to aid management decisions in the State of Qatar coastal environment
C Warren, J DuPont, M Abdel-Moati, S Hobeichi, D Palandro, S Purkis
Qscience Proceedings 2015 (5), 13, 2015
42015
Australia’s Tinderbox Drought: An extreme natural event likely worsened by human-caused climate change
A Devanand, GM Falster, ZE Gillett, S Hobeichi, CM Holgate, C Jin, M Mu, ...
Science Advances 10 (10), eadj3460, 2024
32024
Impact of climate change on water resources in MENA countries: An assessment of temporal changes of land cover/land use and water resources using multi-temporal MODIS and …
S Pathirana, K Perera, S Hobeichi
Proceedings of the International Symposium on Remote Sensing (ISRS 2015), 2015
32015
What is the probability that a drought will break in Australia?
A Devanand, JP Evans, G Abramowitz, S Hobeichi, AJ Pitman
Weather and Climate Extremes 41, 100598, 2023
22023
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