∠ D. Li, D. Lettenmaier, S. Margulis, K. Andreadis, 2019: The value of accurate high-resolution and spatially contin- uous snow information to streamflow forecasts, J. Hydromet., in review

∠ D. Li, D. Lettenmaier, S. Margulis, K. Andreadis, 2019: The role of rain-on-snow in flooding over the conterminous United States, Water Resour. Res., in review

∠ C. Emery, C. David, K. Andreadis, M. Turmon, J. Reager, J. Hobbs, M. Pan, J. Famiglietti, E. Beighley, M. Rodell, 2019: Underlying fundamentals of Kalman filtering of river network modeling, J. Hydromet., in review

∠ H. Tran, P. Nguyen, M. Ombadi, K. Hsu, S. Sorooshian, K. Andreadis, 2019: Improving hydrologic modeling using cloud-free MODIS flood maps, J. Hydromet., in review

∠ D. Stampoulis, J. Reager, C. David, K. Andreadis, J. Famiglietti, T. Farr, A. Trangsrud, R. Basillio, P. Lundgren, Z. Liu, 2019: Assimilation of GRACE terrestrial water storage observations to estimate changes in water table depth, Adv. Water Resour., in review

∠ S. Margulis, Y. Fang, D. Li, K. Andreadis, 2019: The utility of infrequent snow depth images for deriving continuous space-time estimates of seasonal snow water equivalent, Geophys. Res. Lett.,  doi:10.1029/2019GL082507

∠ G. Schumann, J. Muhlhausen, K. Andreadis, 2019: Rapid Mapping of Small-Scale River-Floodplain Environments Using a UAV Structure from Motion Point Cloud, Remote Sens., doi.org/10.3390/rs11080982

∠ C. Oaida, J. Reager, K. Andreadis, C. David, S. Levoe, T. Painter, K. Bormann, A. Trangsrud, M. Girotto, J. Famiglietti, 2019: A high-resolution data assimilation framework for snow water equivalent estimation across the Western United States and validation with the Airborne Snow Observatory, J. Hydrometeorology, doi:0.1175/JHM-D-18- 0009.1

∠ K. Andreadis, 2018: Data assimilation and river hydrodynamic modeling over large scales.  In: Schumann, G., Bates, P., Aronica, G., and Apel, H. (eds). Global Flood Hazard: applications in modeling, mapping and forecasting. American Geophysical Union

∠ K. Andreadis, G. Schumann, D. Stampoulis, P. Bates, G.R. Brakenridge, and A. Kettner, 2017: Can atmospheric reanalysis datasets be used to reproduce flooding over large scales?, Geophys. Res. Lett., doi:10.1002/2017GL075502

∠ G. Allen, C. David, K. Andreadis, F. Hossain, J. Famiglietti, 2017: Global estimates of river flow wave travel times and implications for low-latency satellite data, Geophys. Res. Lett., doi:10.1029/2018GL077914

∠ C. Oaida, J. Reager, K. Andreadis, C. David, S. Levoe, T. Painter, K. Bormann, A. Trangsrud, M. Girotto, J. Famiglietti, 2018: A high-resolution data assimilation framework for snow water equivalent estimation across the Western United States and validation with the Airborne Snow Observatory, J. Hydrometeorology, in review

∠ D. Stampoulis, J. Reager, C. David, K. Andreadis, J. Famiglietti, T. Farr, A. Trangsrud, R. Basillio, P. Lundgren, Z. Liu, 2018: Assimilation of GRACE terrestrial water storage observations to estimate changes in water table depth, Adv. Water Resour., in review

∠ G. Schumann, J. Muhlhausen, K. Andreadis, 2017: Rapid Mapping of Small-Scale River-Floodplain Environments Using a UAV Structure from Motion Point Cloud, Int. J. Remote Sens., in review

∠ K. Andreadis, N. Das, D. Stampoulis, A. Ines, J. Fisher, S. Granger, J. Kawata, E. Han, and A. Behrangi, 2017: The Regional Hydrologic Extremes Assessment System: A GIS-enabled software framework for hydrologic modeling and data assimilation, PLoS ONE, 12(5): e0176506, doi:10.1371/journal.pone.0176506 ∠ K. Andreadis, 2017: Data assimilation and river hydrodynamic modeling over large scales. In: Schumann, G., Bates, P., Aronica, G., and Apel, H. (eds). Global Flood Hazard: applications in modeling, mapping and forecasting. American Geophysical Union, in press

∠ D. Moller, K. Andreadis, K. Bormann, S. Hensley, and T. Painter, 2017: Mapping snow depth from Ka-band interferometry: Proof of concept and comparison with scanning lidar retrievals, IEEE Geosci. Remote Sens. Lett., 14, 886-890 ∠ G. Schumann, D. Stampoulis, A. Smith, C. Sampson, K. Andreadis, J. Neal, and P. Bates, 2016: Rethinking flood risk at the global scale, Geophys. Res. Lett., 43, 10.1002/2016GL070260

∠ G. Schumann, and K. Andreadis, 2016: A method to assess localized impact of better floodplain topography on flood risk prediction, Adv. Meteorol., 2016, 1–8 ∠ D. Stampoulis, K. Andreadis, S. Granger, J. Fisher, F. Turk, A. Behrangi, N. Das, and A. Ines, 2016: Assessing the hydrologic vulnerability and adaptive capacity at regional scales from space, Remote Sens. Environ., 184, 58–72

∠ Y. Chao, J. Farrara, G. Schumann, K. Andreadis, and D. Moller, 2015: Sea surface salinity variability in response to the Congo River discharge, Continental Shelf Res., 99, 34–45

∠ Andreadis, K., and G. Schumann, 2014: Estimating the impact of satellite observations on the predictability of large-scale hydraulic models, Adv. Water Resour., 73, 44–54

∠ Schumann, G., P. Bates, J. Neal, K. Andreadis, 2014: Measuring and mapping flood processes. In Paolo Paron, Giuliano Di Baldassarre and J. F. Shroder Jr. (eds). Hydro-meteorological hazards, risks and disasters. Elsevier: Hazards and Disasters Series, p. 306, pp. 35-64

∠ Fisher, J.B. and Andreadis, K., 2014: Drought - Roles of Precipitation, Evapotranspiration, and Soil Moisture. In: Wang, Y. (Ed) Encyclopedia of Natural Resources: Air. Taylor and Francis, New York, pp 1015-1017

∠ Schumann, G., Bates, P.D., Neal, J.C. and Andreadis, K., 2014. Measuring and Mapping Flood Processes. HydroMeteorological Hazards, Risks, and Disasters, p.35

∠ Pavelsky, T., M. Durand, K. Andreadis, E. Beighley, R. Paiva, G. Allen, and Z. Miller, 2014: Assessing the global impact of SWOT river observations, J. Hydrology, 27, 1516–1525

∠ Schumann, G., P. Bates, J. Neal, and K. Andreadis, 2014: Technology: Fight floods on a global scale, Nature, 507(7491), 169-169

∠ Durand, M., J. Neal, E. Rodriguez, K. Andreadis, L. Smith, and Y. Yoon, 2014: Estimating reach-averaged discharge for the River Severn from measurements of river water surface elevation and slope, J. Hydrology, 511, 92-104

∠ Schumann, G., K. Andreadis, and P. Bates, 2014: Downscaling coarse grid hydrodynamic simulation over large domains, J. Hydrology, 508, 289-298

∠ Biancamaria, S., K. Andreadis, and S. Ricci, 2014: Using images of continental water surface elevations from upcoming satellite mission, Eos. Trans. AGU, 95.12, 105-105

∠ Andreadis, K., G. Schumann, and T. Pavelsky, 2013: A simple global river width and depth database, Water Resour. Res., 49, 7164-7168

∠ Schumann, G., J. Neal, N. Voisin, K. Andreadis, F. Pappenberger, K. Phanthuwongpakdee, A. Hall, and P. Bates, 2013: A first large scale hydrodynamic model for flood forecasting in the Lower Zambezi basin, Water Resour. Res., 49, 6248-6257

∠ Livneh, B., E. Rosenberg, C. Lin, V. Mishra, K. Andreadis, E. Maurer, and D. Lettenmaier, 2013: Long-term hydrologically based dataset of land surface fluxes and states for the conterminous U.S.: Update and extensions, J. Climate, doi:10.1175/JCLI-D-12-00508.1

∠ Mersel, M.K., L. Smith, K. Andreadis, M. Durand, 2013: Estimation of river depth from remotely sensed hydraulic relationships, Water Resour. Res., 49, 3165-3179

∠ Yoon, Y., M. Durand, C. Merry, E. Clark, K. Andreadis, and D. Alsdorf, 2012: Estimating river bathymetry from data assimilation of synthetic SWOT measurements, J. Hydrology, 464-465, 363-375

∠ Andreadis, K., D. P. Lettenmaier, 2012: Implications of representing snowpack stratigraphy for the assimilation of passive microwave satellite observations, J. Hydrometeorology, 13, 1493-1506

∠ Lee, H., R. E. Beighley, D. Alsdorf, H. Jung, C.K. Shum, J. Duan, J. Guo, D. Yamazaki, K. Andreadis, 2011: Characterization of terrestrial water dynamics in the Congo Basin using GRACE and satellite radar altimetry, Remote Sens. Environ., 115, 3530-3538

∠ Beighley, R.E, R.L. Ray, Y. He, H. Lee, L. Schaller, M. Durand, K. Andreadis, D.E. Alsdorf, C.K. Shum, 2011: Comparing satellite derived precipitation datasets using the Hillslope River Routing (HRR) model in the Congo River Basin, Hydrol. Process., doi:10.1002/hyp.8045

∠ Biancamaria, S., M. Durand, K. Andreadis, P.D. Bates, A. Boone, N.M. Mognard, E. Rodriguez, D.E. Alsdorf, D. Lettenmaier, and E. Clark, 2011: Assimilation of virtual wide swath altimetry to improve Arctic river modeling, Remote Sens. Environ., 115, 373-381

∠ Xu, X., D. Liang, K. Andreadis, L. Tsang, E. G. Josberger, and D. P. Lettenmaier, 2010: Active remote sensing of snow using NMM3D/DMRT and comparison with CLPX II airborne data, IEEE J. Sel. Topics Earth Obs. and Remote Sens., 3, 689-697

∠ Biancamaria, S., K. Andreadis, M. Durand, E. Clark, E. Rodriguez, N. Mognard, D. Alsdorf, D. Lettenmaier, and Y. Oudin, 2010: Preliminary characterization of SWOT hydrology error budget and global capabilities, IEEE J. Sel. Topics Earth Obs. and Remote Sens., 3, 6-19

∠ Andreadis, K., P. Storck, and D. P. Lettenmaier, 2009: Modeling the effects of canopies on snow accumulation and ablation processes, Water Res. Research, 45, W05429, doi:10.1029/2008WR007042

∠ Sheffield, J., K. Andreadis, E. F. Wood, and D. P. Lettenmaier, 2009: Global and continental drought in the second half of the 20th century: severity-area-duration analysis and temporal variability of large-scale events, J. Climate, 22, 1962-1981

∠ Rutter, N., R. Essery, J. Pomeroy, N. Altimir, K. Andreadis et al., 2009: Evaluation of forest snow processes models (SnowMIP2), J. Geophys. Res., 114, D06111, doi:10.1029/2008JD011063

∠ Durand, M., K. Andreadis, D. Alsdorf, and D. P. Lettenmaier, 2008: Estimation of bathymetric depth and slope from swath altimetry and a hydrodynamic model, Geophys. Res. Lett., 35, L20401, doi:10.1029/2008GL034150

∠ Wójcik, R., K. Andreadis, M. Tedesco, E. F. Wood, and D. P. Lettenmaier, 2008: Multi-model estimation of snow microwave emission during CLPX03 using operational parameterization of micro-physical snow characteristics, J. Hydrometeorology, 9, doi:10.1175/2008JHM9091

∠ Liang, D., X. Xu, L. Tsang, K. Andreadis, and E. G. Josberger, 2008: Modeling Multi-layer Effects in Passive Mi- crowave Remote Sensing of Dry Snow Using Dense Media Radiative Transfer Theory Based on the Quasicrystalline Approximation, IEEE Trans. Geosci. Remote Sens., 46, 3663-3671

∠ Andreadis, K., D. Liang, L. Tsang, D. P. Lettenmaier, and E. G. Josberger, 2008: Characterization of errors in a coupled snow hydrology-microwave emission model, J. Hydrometeorology, 9, 149-164

∠ Andreadis, K., E. A. Clark, D. P. Lettenmaier, and D. E. Alsdorf, 2007: Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model, Geophys. Res. Lett., 34, L10403

∠ Andreadis, K., and D.P. Lettenmaier, 2006: Trends in 20th century drought over the continental United States, Geophys. Res. Lett., 33, L10403, doi:10.1029/2006GL025711

∠ Andreadis, K., and D.P. Lettenmaier, 2006: Assimilating Remotely Sensed Snow Observations into a Macroscale Hydrology Model, Adv. Water Res., 29, 872-886

∠ Andreadis, K., E.A. Clark, A.W. Wood, A.F. Hamlet, and D.P. Lettenmaier, 2005: 20th Century Drought in the Conterminous United States, J. Hydrometeorology, 6, 985-1001