Chadi Sayde

Assistant Professor

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Dr. Sayde grew up in a multi-generational farming family. From an early age, he was exposed daily to the practical challenges of agricultural production under the rapidly increasing impacts of climate change on available water resources. This was the main motivation for him to seek a B.S. degree in agricultural engineering from the University of Holy Spirit, Lebanon, then a M.S. degree in Land and Water Resources Management from the Mediterranean Agricultural Institute of Bari, Italy. Finally, he received his Ph.D. in Water Resources Engineering from Oregon State University (OSU). He was advised by one of the pioneers in optimum irrigation management, Dr. Marshall English, as well as one of the world leaders in vadose zone hydrology and environmental monitoring, Dr. John Selker. In his PhD and post-doctoral work at OSU he focused on developing cutting edge tools that allow the interrogation of our environment at a range of temporal and spatial scales never attempted before. For instance, he demonstrated the feasibility of using actively heated fiber optics (soil-AHFO) method in conjunction with Distributed Temperature Sensing (DTS) to quantify soil water content and fluxes at spatial scales spanning over 4 orders of magnitude (0.1 m to 1,000 m) and temporal scale well below 1 h. He also developed a novel approach to continuously measure wind speed simultaneously at thousands of points using actively heated fiber optics (air-AHFO). Dr. Sayde joined the Department of Biological and Agricultural Engineering in January of 2017 as an assistant professor.

Education

Ph.D. 2012

Water Resources Engineering

Oregon State University

M.S. 2002

Land and Water Resources Management

Istituto Agronomico Mediterraneo di Bari, Italy

B.S. 1999

Agricultural Engineering

University of Holy Spirit, Kaslik, Lebanon

Research Description

Dr. Sayde believes that sustainable management of our agricultural and natural systems requires a paradigm shift in the way we manage our water. This paradigm shift will be largely driven by a new generation of physically based models and tools that enable continuous monitoring of our environment over wide range of temporal and spatial scales. Dr. Sayde research is focused on developing and employing advanced models and sensing systems to quantify water and energy movement across the soil-plant-atmosphere continuum from individual plants, to field and watershed scales. His objectives are to employ the ultra-high density of initial and boundary conditions measurements across the landscape to i) understand the underlying physical processes and the interaction between water, atmosphere, soil, topography, and vegetation, and ii) formulate engineered solutions to agricultural water management challenges that optimize economical return of water and minimize its adverse environmental impacts. Areas of interests include: - quantifying and understanding physical processes that control energy and water movement through the soil-plant-atmosphere continuum at 0.25-10,000 m scales -development of distributed environmental sensing systems -design and management optimization of irrigation systems -development of physically based agricultural water management models

Publications

A Model for Turbulence Spectra in the Equilibrium Range of the Stable Atmospheric Boundary Layer
Cheng, Y., Li, Q., Argentini, S., Sayde, C., & Gentine, P. (2020), JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 125(5). https://doi.org/10.1029/2019JD032191
High-Resolution Measurement of Soil Thermal Properties and Moisture Content Using a Novel Heated Fiber Optics Approach
Shehata, M., Heitman, J., Ishak, J., & Sayde, C. (2020), WATER RESOURCES RESEARCH, 56(7). https://doi.org/10.1029/2019WR025204
Classifying the nocturnal atmospheric boundary layer into temperature and flow regimes
Pfister, L., Lapo, K., Sayde, C., Selker, J., Mahrt, L., & Thomas, C. K. (2019), QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 145(721), 1515–1534. https://doi.org/10.1002/qj.3508
A high resolution measurement of the morning ABL transition using distributed temperature sensing and an unmanned aircraft system
, (2018). Environmental Fluid Mechanics. https://doi.org/10.1007/s10652-017-9569-1
Failure of Taylor's hypothesis in the atmospheric surface layer and its correction for eddy-covariance measurements
Cheng, Y., Sayde, C., Li, Q., Basara, J., Selker, J., Tanner, E., & Gentine, P. (2017), Geophysical Research Letters, 44(9), 4287–4295. https://doi.org/10.1002/2017gl073499
Quantitative analysis of the radiation error for aerial coiled-fiber-optic distributed temperature sensing deployments using reinforcing fabric as support structure
Sigmund, A., Pfister, L., Sayde, C., & Thomas, C. K. (2017), Atmospheric Measurement Techniques, 10(6), 2149–2162. https://doi.org/10.5194/amt-10-2149-2017
Calibration of soil moisture sensing with subsurface heated fiber optics using numerical simulation
Benítez-Buelga, J., Rodríguez-Sinobas, L., Sánchez Calvo, R., Gil-Rodríguez, M., Sayde, C., & Selker, J. S. (2016), Water Resources Research, 52(4), 2985–2995. https://doi.org/10.1002/2015wr017897
Mapping high-resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smoother
, (2016). Water Resources Research. https://doi.org/10.1002/2016wr019031
The Soil Moisture Active Passive Marena, Oklahoma, In Situ Sensor Testbed (SMAP-MOISST): Testbed Design and Evaluation of In Situ Sensors
Cosh, M. H., Ochsner, T. E., McKee, L., Dong, J., Basara, J. B., Evett, S. R., … Sayde, C. (2016), Vadose Zone Journal, 15(4), 0. https://doi.org/10.2136/vzj2015.09.0122
High-resolution wind speed measurements using actively heated fiber optics
Sayde, C., Thomas, C. K., Wagner, J., & Selker, J. (2015), Geophysical Research Letters, 42(22), 10,064–010,073. https://doi.org/10.1002/2015gl066729

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Grants

Harnessing (bio-)electrochemical Technologies as Sustainable Sources for on Demand Precision Agriculture
Game-Changing Research Incentive Program for Plant Sciences (GRIP4PSI)(2/17/20 - 6/30/21)
Evaluation of 2D Hydraulics Models to Improve Scour Predictions and Countermeasures
NC Department of Transportation(8/01/19 - 7/31/21)
Next Generation Miscanthus: Hybrid Performance Evaluation and Enhanced, Sustainable Feedstock Production and Supply in the Southeast U.S. for Biofuel and Bioproducts
US Dept. of Energy (DOE)(10/01/18 - 12/31/20)