Imputation Methods for Missing Hydrometeorological Data Estimation

Dr. Ramesh Teegavarapu (Dr. T.) is a professor and a former graduate program director in the Department of Civil, Environmental, and Geomatics Department at Florida Atlantic University (FAU), Boca Raton, Florida, and founder and leader of the Hydrosystems Research Laboratory (HRL) in the department. He is a Fulbright scholar and a specialist. He has over twenty-five years of experience in hydrological modeling and water and environmental systems management. His research interests include climate variability and change, hydrometeorology, precipitation, spatial analysis, hydroanalytics and hydroinformatics, water and environmental systems modeling, and statistical learning. Before his tenure at FAU, he worked at the University of California, Davis, Kentucky Water Resources Research Institute (KWRRI), and the University of Kentucky. Dr. T. has received several national and international awards/recognitions for his research. He serves on the editorial board of multiple international peer-reviewed journals. Dr. T. has published over one hundred and fifty technical articles in high-impact journals and conference proceedings. He has authored over thirty-five book chapters and is an author, co-editor, and sole editor of books from reputed international publishers. He served on multiple national and international technical committees related to water and climate change and held visiting professor appointments in India, Italy, and Japan. Dr. T. has presented over one hundred and eighty research talks, including several invited keynote and plenary lectures at conferences and universities worldwide.  He has organized, chaired, convened, and moderated over ninety technical sessions at national and international conferences. He has 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,  processing and improving hydrometeorological observations, and analyzing hydroclimatic variables.

• Introduction to Missing Data.- Methods for Imputation of Missing Data.- Temporal Interpolation Methods.- Spatial Interpolation Methods.- Data Driven Modes for Imputation.- Multiple Imputation Methods.- Evaluation of Methods and Imputed Data.