#  Climate Seminar 

 



####  calendar\_today Date and Time 

 **October 13, 2022** 

 12:00PM - 01:00PM EDT 

####  pin\_drop Location 

 **HUCE 440, 26 Oxford St., Cambridge**  



 

 



 

 **Reed M. Maxwell**, Professor, Princeton University, will present "Hydrology in the Supercomputing Age: How Computational Advances Have Revolutionized Our Field, and What Big Data and Massively Parallel Simulations Mean for the Future of Hydrologic Discovery."

 The Department of Earth and Planetary Sciences and Paulson School of Engineering and Applied Sciences present "Hydrology in the Supercomputing Age: How Computational Advances Have Revolutionized Our Field, and What Big Data and Massively Parallel Simulations Mean for the Future of Hydrologic Discovery" with **Reed M. Maxwell**, Professor, Princeton University.

 Absract: We are in the midst of a revolution in computing and data. In the past 50 years, we have moved from electrical analog models to massively parallel computer systems. When landmark papers such as Freeze and Harlan were written, the fastest computers in the world were much slower than the average smartphone is today. Hydrology is taking advantage of this revolution in many ways. Computational Hydrology seeks to leverage modern computing capacity to study water and energy fluxes and stores across the hydrologic cycle at spatial scales and complexity not previously possible. Integrated hydrologic simulations that couple boundary layer, vegetation, and land energy processes with surface and subsurface hydrology have great potential to advance our understanding of terrestrial hydrology spanning small catchments to the continental scale. Several movements within hydrology, such as the so-called hyperresolution approach, have organized and accelerated this goal. Hydrologic simulation from a historical perspective, spanning from the early watershed models to more modern, integrated and machine learning approaches that realize blueprints laid out 50 years ago will be presented. The lecture will discuss how computational advances are shaping our simulation capabilities, changing the questions that we are able to ask as scientists, and changing how we educate our students. High-resolution, continental-scale simulation is an exciting component of computational hydrology forecasting and scientific discovery. It will outline a path to move beyond our traditional siloed simulation platforms and to leverage these large datasets and massive community development investments to better connect our hydrologic models to the communities outside of hydrology.

 Speaker Bio: Reed Maxwell is a Professor in Civil and Environmental Engineering (CEE) and the High Meadows Environmental Institute (HMEI) at Princeton University. He also directs the Integrated GroundWater Modeling Center (IGWMC). His research interests are focused on understanding connections within the hydrologic cycle and how they relate to water quantity and quality under anthropogenic stresses. He was the 2020 Henry Darcy Distinguished Lecturer, is an elected Fellow of the American Geophysical Union, and was the 2018 Boussinesq Lecturer and the 2017 School of Mines Research Award recipient. He has authored more than 150 peer-reviewed journal articles and teaches classes on integrated hydrology, fluid mechanics and modeling terrestrial water flow. He holds a Ph.D. degree in Environmental Water Resources from the Civil and Environmental Engineering Department at the University of California, Berkeley.

 *Sponsored by the Harvard Oceanography Committee and the Harvard University Center for the Environment.*

 Visit [the event page](https://eps.harvard.edu/event/special-climatea-31) for more information. This event is open to the Harvard community only.

 Contact: <mbradbury@fas.harvard.edu>



 

 



 

 See also:- [ Climate Change ](/research-areas/climate)
 
 

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