Towards Robust Hydrologic Modeling and Design: Utility and Validity of Quantitative Precipitation Estimates
Name of the Speaker: Prof. Ramesh Teegavarapu
Title of the Seminar: Towards Robust Hydrologic Modeling and Design: Utility and Validity of Quantitative Precipitation Estimates
Date and Time: 28 January 2021 (Thursday), 6:00pm
Online Platform: MS Teams [link to the video of the seminar]
About the Speaker: Ramesh Teegavarapu, Ph.D. (Dr. T.) is a professor and graduate program director in the civil, environmental, and geomatics engineering department, at Florida Atlantic University, USA. He is also director of Hydrosystems Research Laboratory (HRL) in the department. He Is a Fulbright Scholar and Specialist and recipient of two research scholar and three excellence and innovation in teaching awards at FAU, a finalist for Distinguished teacher of the year award at FAU, and several national and international awards. He serves on the editorial board of multiple international peer-reviewed journals. His current research interests are climate variability and change, hydrometeorology, spatial precipitation analysis, hydroanalytics, water, and environmental systems modeling. Dr. T. has published over 125 technical articles in high-impact journals and conference proceedings and authored over 30 book chapters and is an author, co-editor, sole-editor of seven books from multiple reputed international publishers. He serves on multiple national and international technical committees related to water and climate change and held visiting professor appointments in Italy and Japan. Dr. T. has presented over 130 research talks including several invited and session keynote lectures in eighteen countries. He has organized, chaired, convened, and moderated over 80 technical sessions at national and international conferences and served on advisory committees of conferences and as general and technical co-chair of two international conferences. Dr. T. has designed and developed several innovative simulation and modeling environments/tools for understanding hydrological processes, hydrometeorological observations, climate change, and variability.
Abstract: Accurate measurements of precipitation that characterize its spatial and temporal variability in a region are quintessential for the success of hydrologic modeling and design. Point measurements (i.e., rain gage observations) often plagued with systematic and random errors while lacking spatial coverage are questionable inputs to hydrologic design procedures and inadequate for distributed hydrologic modeling applications. Multi-sensor source-based quantitative precipitation estimates (QPEs) developed as gridded datasets/products are increasingly being used by hydrological modeling and design communities. This talk will focus on QPEs developed using weather-surveillance radar (WSR) using rain gage information as ground truth and will address issues related to the generation of radar-based precipitation estimates, Improvements in QPEs, bias analysis, and correction methods. The utility and validity of these QPEs for hydrologic modeling, design, and hydrosystems disaster management will be discussed.
Date(s) - 28/01/2021
6:00 pm - 7:00 pm