Publications

GoogleScholar | ORCiD: 0001-5795-9894

Peer-reviewed publications

1. R Loritz, CH Wu, D Klotz, M Gauch, F Kratzert and M Bassiouni (2024), Generalising Tree-Level Sap Flow Across the European Continent. Geophysical Research Letters, 51 (6), e2023GL107350. https://doi.org/10.1029/2023GL107350
2. M Bassiouni, S Manzoni and G Vico (2023), Optimal plant water use strategies explain soil moisture variability. Advances in Water Resources,173, 104405. https://doi.org/10.1016/j.advwatres.2023.104405
3. L Hawkins, M Bassiouni, WRL Anderegg, MD Venturas, SP Good, H Kwon, C Hanson, R Fiorella, GJ Bowen and CJ Still (2022), Comparing Model Representations of Physiological Limits on Transpiration at a Semi-arid Ponderosa Pine Site. Journal of Advances in Modeling Earth Systems, e2021MS002927. https://doi.org/10.1029/2021MS002927
4. AE Goodwell and M Bassiouni (2022), Source relationships and model structures determine information flow paths in ecohydrologic models. Water Resources Research, 58, e2021WR031164. https://doi.org/10.1029/2021WR031164
5. R Loritz, M Bassiouni, A Hildebrandt, SK Hassler and E Zehe (2022), Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates. Hydrology and Earth System Sciences, 26, 4757–4771, https://doi.org/10.5194/hess-26-4757-2022
6. DR URycki, M Bassiouni, SP Good, BC Crump and B Li (2022), The streamwater microbiome encodes hydrologic data across scales. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2022.157911
7. M Bassiouni and G Vico (2021), Parsimony versus predictive and functional performance of three stomatal optimization principles in a big-leaf framework. New Phytologist, 231 (2), 586-600. https://doi.org/10.1111/nph.17392
8. MA Scholl, M Bassiouni and AJ Torres-Sanchez (2021), Drought stress and hurricane defoliation influence mountain clouds and moisture recycling in a tropical forest. Proceedings of the National Academy of Sciences, 118 (7). https://doi.org/10.1073/pnas.2021646118
9. M Wu, G Vico, S Manzoni, Z Cai, M Bassiouni, F Tian, J Zhang, K Ye and G Messori (2021), Early growing season anomalies in vegetation activity determine the large-scale climate-vegetation coupling in Europe. Journal of Geophysical Research Biogeosciences, 126 (5). https://doi.org/10.1029/2020JG006167
10. Z Su, Y Zeng, N Romano, S Manfreda, F Francés, E Ben Dor, B Szabó, G Vico, P Nasta, R Zhuang, N Francos, J Mészáros, SF Dal Sasso, M Bassiouni, L Zhang, DT Rwasoka, B Retsios, L Yu, ML Blatchford, C Mannaerts (2020), An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources. Water, 12 (5), 1495. https://doi.org/10.3390/w12051495
11. M Bassiouni, SP Good, CJ Still and CW Higgins (2020), Plant water uptake thresholds inferred from satellite soil moisture. Geophysical Research Letters, 47 (7). https://doi.org/10.1029/2020GL087077
12. M Bassiouni, CW Higgins, CJ Still and SP Good (2018), Probabilistic inference of ecohydrological parameters using observations from point to satellite scales. Hydrology and Earth System Sciences, 22 (6), 3229-3243. https://doi.org/10.5194/hess-22-3229-2018
13. M Bassiouni, MA Scholl, AJ Torres-Sanchez and SF Murphy (2017), A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography. Agricultural and Forest Meteorology, 243, 100-112. https://doi.org/10.1016/j.agrformet.2017.04.010
14. M Bassiouni, RM Vogel and SA Archfield (2016), Panel regressions to estimate low-flow response to rainfall variability in ungaged basins. Water Resources Research, 52 (12), 9470-9494. https://doi.org/10.1002/2016WR018718
15. SK Izuka, JA Engott, K Rotzoll, M Bassiouni, AG Johnson, LD Miller and A Mair (ver 1.0 2016; ver. 2.0, 2018), Volcanic aquifers of Hawai ‘i—Hydrogeology, water budgets, and conceptual models: U.S. Geological Survey Scientific Investigations Report 2015-5164, 158 p. https://doi.org/10.3133/sir20155164.
16. JA Engott, AG Johnson, M Bassiouni, SK Izuka and K Rotzoll (ver. 1.0 2015; ver. 2.0, 2017), Spatially distributed groundwater recharge for 2010 land cover estimated using a water-budget model for the island of O'ahu, Hawaii: U.S. Geological Survey Scientific Investigations Report 2015–5010, 49 p. https://doi.org/10.3133/sir20155010.
17. AG Johnson, JA Engott, M Bassiouni and K Rotzoll (ver 1.0 2014; ver. 2.0, 2018), Spatially distributed groundwater recharge estimated using a water-budget model for the island of Maui, Hawai‘i, 1978–2007: U.S. Geological Survey Scientific Investigations Report 2014–5168, 53 p. https://doi.org/10.3133/sir20145168.
18. M Bassiouni and DS Oki (2013), Trends and shifts in streamflow in Hawai‘i, 1913–2008. Hydrological Processes, 27 (10), 1484-1500. https://doi.org/10.1002/hyp.9298.

Preprints and publications in progress

Y Kang, M Gaber, M Bassiouni, X Lu and TF Keenan (2023), CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization. Earth System Science Data Discussussions, https://doi.org/10.5194/essd-2023-337.

R Nakagawa, M Chau, J Calzaretta, TF Keenan, P Vahabi, A Todeschini, M Bassiouni and Y Kang (2023), Upscaling Global Hourly GPP with Temporal Fusion Transformer. arXiv preprint, arXiv:2306.13815. https://doi.org/10.48550/arXiv.2306.13815.

Code | github.com/maoyab

OWUS: Inference of optimal plant water use strategies (2021, Python Code), https://doi.org/10.5281/zenodo.5518546

DESOM: Diagnostics of ecosystem-scale stomatal optimization models (2021, Python Code), https://doi.org/10.5281/zenodo.4386353

Data management for global PIEP (2020, Python Code), https://doi.org/10.5281/zenodo.3235820

PIEP: Probabilistic inference of ecohydrological parameters from soil moisture observations (2018, Python Code), https://doi.org/10.5281/zenodo.1257718

Clustering of time-lapsed photographs to develop a 30-min time series of forest cloud immersion (2017, Python Code), upon request.

Data

Temperature, relative humidity and cloud immersion data for Luquillo Mountains, eastern Puerto Rico, 2014-2019 (2021, USGS Data Release), https://doi.org/10.5066/P9UQCN4T

Global dataset of ecohydrological parameters inferred from satellite observations (2020, Dataset), https://doi.org/10.5281/zenodo.3351622

Mean annual water-budget components for the Hawaiian Islands (2018, ver. 2.0, multiple USGS Data Releases) see full list of water availability products

Supplementary data for "method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography" (2017, USGS Data Release), http://dx.doi.org/10.5066/F7HQ3X52

Summary drainage basin and low-flow characteristics in gaged Hawaii streams and summary rainfall projections for the late 21st century and associated changes in low flows and usable habitat for native stream fauna in gaged and ungaged Maui, HI streams (2016, USGS Data Release), http://dx.doi.org/10.5066/F7TH8JV3