Meena Raju

Postdoctoral Research Fellow

4840 S. State Rd.
Ann Arbor, MI 48108-9719

[email protected]

Profile:

Meena Raju, PhD, is a CIGLR postdoctoral research fellow working with David Cannon, PhD, and NOAA Great Lakes Research Laboratory’s Climate, Ecosystems, and Fisheries Initiative (CEFI). She is interested in simulating the circulation and thermal structure of the Laurentian Great Lakes using a next-gen regional ocean model, Modular Ocean Model (MOM) version 6.0. Prior to working with CIGLR and NOAA GLERL, Dr. Raju’s previous postdoctoral research at Auburn University, Alabama, focused on quantifying estuarine resilience to anthropogenic disturbance in the Northern Gulf of Mexico using a hydrodynamic-water quality modeling.
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Education:
    • PhD, in Civil Engineering, Mississippi State University, 2022
    • Master of Technology in Environmental Engineering, Vellore Institute of Technology, 2005
    • Bachelor of Engineering in Civil Engineering, University of Madras, 2003
Research Interest/Area of Expertise:
    • Trend and Change point analysis
    • Climate variability – Water nexus
    • Modeling – Numerical, Statistical
    • Hydrologic, Hydrodynamic, Water-quality, Watershed
    • Ecosystem management – Terrestrial, Coastal and estuarine circulation
    • Data analytics in climate research
    • Stream health assessment
    • Design and operation of wastewater treatment systems
    • Sustainability

Publications

Recent Publications:

Meena Raju, Anna Linhoss, John Linhoss, Paul F. Mickle, Vladimir J. Alarcon, Alexandra Fine, and Christopher R. Kelble (2024). Seasonal salinity trends in Central and Southern Biscayne Bay, Florida (USA). Journal of Hydrologic Engineering. https://ascelibrary.org/doi/10.1061/JHYEFF.HEENG-6087

Raúl J. Osorio, Anna Linhoss, Justin Murdock, Mindy Yeager-Armstead, Meena Raju (2024). Sensitivity Analysis of a Hydrodynamic and Harmful Algal Model in a Riverine System, https://www.sciencedirect.com/science/article/pii/S0304380024002345

Meena Raju, Anna Linhoss, Raúl J. Osorio (2024). Augmenting input data to a hydrodynamic water quality model from sparse observational data using statistical interpolation methods. (Under review Journal of Estuarine, Coastal and Shelf Science).https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4786712

Presentations

Presented an oral technical paper on “Development of water quality time series input data to a hydrodynamic-water quality model based on sparse data” at the OCEANS Conference and Exposition, Gulf Coast, Biloxi, Mississippi, September 25th and 28th,2023.

Presented a poster on “Role of a mentor in mentee’s Individual Development Plan (IDP)” at Annual NPA 2023, organized by the National Postdoctoral Association between April 21st and 22nd at The Loews Hotel, Philadelphia.

Presented an oral technical paper on “Seasonal salinity trends in Central and Southern regions of Biscayne Bay, Florida (USA)” at the Bays and Bayous Conference, Mobile, Alabama, January 24th and 25th,2023. BB-2023-Final-Report-and-Book-of-Abstracts.pdf (mobilebaynep.com)

Presented an oral technical paper on “Analysis of long-term trends and change points in maximum air temperature in the Mississippi River Valley Alluvial Aquifer (MRVAA)” at the Mississippi Water Resources Conference, April 12th to 14th,2022.

Presented a technical paper on “Analysis of rainfall and stream flow trends in the Lower Mississippi River Basin (LMRB) in the USA” at III International Congress of Rivers and Wetlands, October 25-29, 2021, organized by Particles in Americas.

Presented an oral technical paper on “Long-term trends and change point analysis of streamflow and rainfall in Mississippi River Valley Alluvial Aquifer (MRVAA)” in Graduate Research Fall Symposium 2021, October 18th, 2021 organized by Graduate School, Mississippi State University and secured second place.

Presented a technical paper on “Trend and Change Point Analysis of Hydrological Variables in Lower Mississippi River Basin” in 41st Annual AGU Hydrology Days, Webinar: March 30-31, 2021, organized by Colorado State University, Fort Collins, Colorado, United States.