Andrew C. Ross
Princeton University
24 Papers
44 Citations
Andrew C. Ross is an academic researcher from Princeton University. The author has contributed to research in topics: Climate change & Estuary. The author has an hindex of 10, co-authored 20 publications. Previous affiliations of Andrew C. Ross include Geophysical Fluid Dynamics Laboratory & Pennsylvania State University.
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Papers
Assessing the Effects of Climate Change on Water Quantity and Quality in an Urban Watershed Using a Calibrated Stormwater Model
TL;DR: In this article, a methodology was developed using an autocalibration tool to calibrate a previously developed Storm Water Management Model (SWMM) of Difficult Run in Fairfax, Virginia.
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Impact of climate change and climate anomalies on hydrologic and biogeochemical processes in an agricultural catchment of the Chesapeake Bay watershed, USA
Moges B. Wagena,Amy S. Collick,Andrew C. Ross,Raymond G. Najjar,Benjamin M. Rau,A. Sommerlot,Daniel R. Fuka,Peter J. A. Kleinman,Zachary M. Easton +8 more
TL;DR: In this paper, the authors quantified the impact of climate change and climate anomalies on hydrology, nutrient cycling, and greenhouse gas emissions in an agricultural catchment of the Chesapeake Bay watershed.
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Sea-level rise and other influences on decadal-scale salinity variability in a coastal plain estuary
TL;DR: In this paper, the response of salinity in the Delaware Estuary to climatic variations is determined using statistical models and long-term (1950-present) records from the U.S. Geological Survey and the Haskin Shellfish Research Laboratory.
Marine heatwaves need clear definitions so coastal communities can adapt
Dillon J. Amaya,Michael G. Jacox,Melanie R. Fewings,Vincent S. Saba,Malte F. Stuecker,Ryan R. Rykaczewski,Andrew C. Ross,Charles A. Stock,Antonietta Capotondi,Colleen M. Petrik,Steven J. Bograd,Michael A. Alexander,Wei Chen,Albert J. Hermann,Kelly A. Kearney,Brian Powell +15 more
TL;DR: In this article , the authors present a method for communicating baselines for assessing ocean warming for understanding extreme events and how they will affect marine ecosystems and livelihoods in the future, and demonstrate that such baselines can be used to predict extreme events.
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