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Konstantinos M. Andreadis

Researcher at University of Massachusetts Amherst

Publications -  75
Citations -  4484

Konstantinos M. Andreadis is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Snow & Floodplain. The author has an hindex of 26, co-authored 68 publications receiving 3660 citations. Previous affiliations of Konstantinos M. Andreadis include Jet Propulsion Laboratory & University of Washington.

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Twentieth-Century Drought in the Conterminous United States

TL;DR: In this paper, a physically-based macro-scale hydrologic model at 1/2° spatial resolution over the continental United States, and construct a drought history from 1920 to 2003 based on the model-simulated soil moisture and runoff.
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Assimilating remotely sensed snow observations into a macroscale hydrology model

TL;DR: In this article, an EnKF was used to assimilate remotely sensed snow observations into the variable infiltration capacity (VIC) macroscale hydrologic model over the Snake River basin.
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Global and Continental Drought in the Second Half of the Twentieth Century: Severity–Area–Duration Analysis and Temporal Variability of Large-Scale Events

TL;DR: In this paper, the authors used observation-driven simulations of global terrestrial hydrology and a cluster algorithm that searches for spatially connected regions of soil moisture to identify 296 large-scale drought events (greater than 500 000 km2 and longer than 3 months).
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Trends in 20th century drought over the continental United States

TL;DR: In this paper, the authors used a simulated data set of hydro-climatological variables to examine for 20th century trends in soil moisture, runoff, and drought characteristics over the conterminous United States (U.S.).
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Prospects for river discharge and depth estimation through assimilation of swath‐altimetry into a raster‐based hydrodynamics model

TL;DR: The Ensemble Kalman filter with a river hydrodynamics model as its dynamical core was used to assimilate the water elevation synthetic observations, and to estimate river discharge as mentioned in this paper.