Welcome to the Hydrology and Remote Sensing (HydroReS) group
The group is led by Dr. Efthymios Nikolopoulos and focuses on research that lies at the intersection of hydrology, hydrometeorology, and remote sensing. Our work involves the application of state-of-art remote sensing observations in combination with numerical and statistical modeling in order to advance the understanding and predictability of hydroclimatic extremes and associated hazards and their impacts on water and energy resources.
"Panta rhei" (everything flows) - Heraclitus, 500 BC
Latest News & Updates
September 2023:
Very excited to kickoff a new NSF IRES project entitled "Collaborative Research: IRES Track I: Post-hurricane recovery of island freshwater lenses: Understanding the impact of social and hydrological dynamics".
August 2023:
Danraj Lamichhane has joined our group. Welcome Danraj!
February 2023:
Going to Huntsville AL for the kickoff meeting of the new NASA SERVIR project entitled "Machine learning-based flash flood forecasting in West Africa with satellite observations" !!!
December 2022:
The group meets at AGU 2022 in Chicago presenting a number of oral and poster presentations (see list of titles below)
i) Future Changes of Hydrological Extremes in High Mountain Asia ( Araujo et al.)
ii) Impact of climate change on streamflow magnitude and characteristics in High Mountain Asia (Nair et al.)
iii) Satellite-based flood inundation mapping: A multi-regional evaluation of VIIRS and SAR products (Nikolopoulos et al.)
iv) Flood frequency estimation at global scale: Exploring the power of machine learning combined with satellite precipitation estimates (Rasheed et al.)
October 2022:
We have received a new NSF award entitled "Collaborative Research: BoCP-Implementation: BioFI- Biodiversity Forecasting Initiative to Understand Population, Community and Ecosystem Function Under Global Change"
September 2022:
HydroReS group moves to Rutgers University! We are all very excited about our new home at Civil and Environmental Engineering department at Rutgers University - New Brunswick.
June 2022:
"Advancing flood warning procedures in ungauged basins with machine learning" the first paper of Zimeena Rasheed (Ph.D. student) is published at the journal of Hydrology. Congratulations Zimeena for your great effort!
May 2022:
Lola Sanchez (MS student) was named best goalkeeper in the Sunshine State Conference by receiving first team - all SSC. In addition to this, she was named female athlete of the year for Florida Tech! Congratulations Lola!
Mar. 2022:
Our paper on future drought risk in Australia is accepted (and available online) in Environmental Research Letters. Congratulations Diogo for publishing the 1st paper for your Ph.D. work!
Jan. 2022:
Maria (Lola) Sanchez joined our group and will be working on riverine flood modeling for the state of Florida for her MS thesis. This work is funded by the Florida Office of Insurance Regulation (FOIR). Welcome to the group Lola!
Dec. 2021:
Anju Nair gave two oral presentations at AGU regarding her research work on High Mountain Asia entitled 1) "Evaluation of Satellite and Reanalysis Data for Simulating Streamflow in Glacierized Catchments in the Himalayas" and 2) "Quantification of the Changes in Streamflow and its Components over the Last 70 years using Long-term Reanalysis Data in Glacierized Basins of Nepal". Nice work Anju!
Diogo Araujo presented at AGU his research work on precipitation extremes entitled "Linking Changes in Storm Characteristics with Changes in Precipitation Extremes". Great job Diogo!
Zimeena Rasheed presented at AGU her research work on post-fire debris flows entitled "Downscaled Precipitation Forecasts for Advancing Prediction of Post-Fire Debris Flows". Nice work Zimeena!
Amanda Allen defended successfully her MS thesis entitled "The impact of increasing flood frequency on flood inundation: a case study of the Little river in Florida" and graduated....congratulations Amanda! and best of luck in your new career.
Dr. Pramod Pandey joined our team as a postdoc and will be working on the NOAA funded project on satellite-based flood mapping. Welcome to the team Pramod!