Sankarasubramanian Arumugam

About

Dr. Sankar Arumugam is a Professor in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University. He is also a University Faculty Scholar from 2013 to 2018. His primary research interests lie at the interface of climate and water management, with a focus on large-scale hydroclimatology. His research group, Climate, Hydrology and Water Resources: Modeling and Synthesis, develops hydroclimatological forecasts and projections aimed at improving water and energy systems management across sub-seasonal to decadal and decadal time scales. Dr. Arumugam's work involves understanding, modeling, and forecasting hydrological fluxes based on land surface and climatic indices. His research also encompasses water resources planning and management, as well as environmental assessment in developing countries. He teaches courses such as Hydrology and Urban Water Systems, Engineering Hydrology, Stochastic Methods in Water and Environmental Engineering, and Hydroclimatology. He serves as an associate editor for the Geophysical Research Letters (AGU) and the Journal of Hydrometeorology (AMS), and has previously served as an associate editor for other prominent journals. His professional memberships include the American Geophysical Union, the American Meteorological Society, and the Environmental Water Research Institute of the American Society of Civil Engineers.

Selected publications

• Urbanization Impacts on Evapotranspiration Across Various Spatio‐Temporal Scales

  Earth s Future · 2021-07-14 · 80 citations

  articleOpen accessSenior author

  Abstract Urbanization has been shown to locally increase the nighttime temperatures creating urban heat islands, which partly arise due to evapotranspiration (ET) reduction. It is unclear how the direction and magnitude of the change in local ET due to urbanization varies globally across different climatic regimes. This knowledge gap is critical, both for the key role of ET in the energy and water balance accounting for the majority of local precipitation, and for reducing the urban heat island…

  PublisherDOI

• Dams and Climate Interact to Alter River Flow Regimes Across the United States

  Earth s Future · 2021-03-14 · 77 citations

  articleOpen access

  Abstract Storing and managing river flows through reservoirs could dampen or increase climate‐induced fluctuations in streamflow, but interactions between the effects of dams and climate are poorly understood. Here, we examined how dam properties control different facets of flow alteration across the coterminous United States (CONUS), and compared alteration trends between dam‐affected and reference stream gages. We quantified departures from the natural flow regime using 730 stations with long‐…

  PublisherDOI

• Climatic and Landscape Controls on Long‐Term Baseflow

  Water Resources Research · 2021-05-20 · 35 citations

  articleOpen access

  Abstract For evaluating the climatic and landscape controls on long‐term baseflow, baseflow index (BFI, defined as the ratio of baseflow to streamflow) and baseflow coefficient (BFC, defined as the ratio of baseflow to precipitation) are formulated as functions of climate aridity index, storage capacity index (defined as the ratio of average soil water storage capacity to precipitation), and a shape parameter for the spatial variability of storage capacity. The derivation is based on the two‐sta…

  PublisherOA PDFDOI

• Understanding the variability of large-scale statistical downscaling methods under different climate regimes

  Journal of Hydrology · 2024-08-11 · 9 citations

  articleSenior author
  PublisherDOI

• Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning

  PLoS ONE · 2024-12-12 · 7 citations

  articleOpen accessCorresponding

  Timely and accurately estimating rice yields is crucial for supporting food security management, agricultural policy development, and climate change adaptation in rice-producing countries such as Bangladesh. To address this need, this study introduced a workflow to enable timely and precise rice yield estimation at a sub-district scale (1,000-meter spatial resolution). However, a significant gap exists in the application of remote sensing methods for government-reported rice yield estimation for…

  PublisherOA PDFDOI

Labs

• Climate, Hydrology and Water Resources: Modeling and SynthesisPI

Awards & honors

• University Faculty Scholar (2013-2018)

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