I received a B.Sc degree in Civil Engineering from the Civil Engineering department of Mekelle University, Ethiopia, and M.Sc degree in Water Resources Engineering from KU Leuven University/Free University of Brussels, Belgium. I earned my Ph.D. degree in Civil and Environmental Engineering from the City College of New York, CUNY.
My doctoral study focused on developing an approach to seamlessly blend satellite, available radar, climatological and gauge precipitation products to fill gaps in ground-based radar precipitation field. The study used an ensemble-based method which aims to estimate spatially varying multiplicative biases in satellite precipitation estimates (SPE) using a radar precipitation product. A weighted Successive Correction Method (SCM) was used to make the merging between error corrected satellite and radar precipitation estimates. In addition to SCM, I used a combination of SCM and Bayesian spatial model for merging the rain gauges and climatological precipitation sources with radar and SPEs. I demonstrated the method using a satellite-based (Hydro Estimator-HE), a radar-based (Stage-II), a climatological product (PRISM), and rain gauge dataset for several rain events from 2006 to 2008 over an artificial gap in Oklahoma and a real radar gap in the Colorado River basin. These works are published in high impact factor journals.
After my doctoral graduation, I worked as a post-doctoral scientist at NOAA-CREST institute, CCNY on several projects. One of the tasks I undertook was- developing an operational global flood monitoring system using the recently launched satellite sensor, NPP-ATMS (Advanced Technology Microwave Sounder) brightness temperature measurements. The operational tool is based on a microwave-based soil wetness index (SWI). Swath-wise brightness temperatures (BT) of ATMS 89 GHz and 23 GHz channels are routinely downloaded from NOAA's CLASS—to calculate SWI. The first version of the operational flood monitoring product was launched in August 2013 (http://water.ccny.cuny.edu/research-product/inundation/). This research is conducted in collaboration with personnel from NOAA-CREST, CCNY. I also worked on assimilating ATMS datasets into the Global Forecast System (GFS) model.
Since joining BMCC as an Assistant Professor in 2013, I have continued working on my research work. I have continued working on my flooding project by incorporating additional satellite datasets. I am also investigating the dynamics of water storage over Lake Eyre, Australia using Polarization Ratio Variational Index (PRVI) values from The Advanced Microwave Scanning Radiometer (AMSR-E). Assessing the impact of assimilating freeze/thaw data into the GFS model has also been another topic that I have been researching on. In addition to research, I have been actively engaging in mentoring and supporting undergraduate research development at BMCC.