Konstantinos Andreadis
Research Interests
Development of algorithms for the SWOT satellite mission.
Assessment of the value of GNSS-R satellite observations for mapping wetland dynamics.
Impact of urbanization on flood risks globally.
Data assimilation of remotely sensed observations into hydrologic, hydrodynamic and agricultural models.
Development of data product algorithms for the SWOT satellite mission.
Development of seasonal drought forecasting system in East Africa and Southeast Asia.
Streamflow forecasting in support of reservoir operations using airborne snow observations.
Impact of deforestation on drought severity.
Assessing the role of climate teleconnections in flooding over Australia.
Development of a coupled human and natural water resources model.
Data assimilation of remotely sensed river measurements over the Ohio River basin.
Large-scale hydraulic modeling of the Ohio River basin.
Congo River basin hydrological processes from gravimetric remote sensing.
MODIS and AMSR-E snow data assimilation.
Coupled microwave emission-snow hydrology model development.
Surface water swath altimetry virtual mission.
JCSDA radiative transfer model inter-comparison.
Twentieth century US and global drought.
Real-time drought monitoring.
Short and long-term hydrologic predictability.
Streamflow sensitivity to climatic change over the Colorado River basin.
Examined the sensitivity of passive microwave emission model predictions to snow microphysical parameters in coupled modeling experiments.
Education
Ph.D., Civil and Environmental Engineering, University of Washington, Seattle, WA, USA (A remote sensing data assimilation system for cold land processes hydrologic estimation), 2009.
M.S.E., Civil and Environmental Engineering, University of Washington, Seattle, WA, USA (Assimilating remotely sensed snow observations into a macroscale hydrology model), 2004.
Engineering Diploma, Environmental Engineering, Technical University of Crete, Chania, Greece (Statistical methods and software development for oil spill source identification), 2002.