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Seasonality and drivers of low flows across Europe and the United States
Floriancic, M. G., Berghuijs, W. R., Molnar, P., & Kirchner, J. W. (2021). Seasonality and drivers of low flows across Europe and the United States. Water Resources Research, 57(9), e2019WR026928 (17 pp.). https://doi.org/10.1029/2019WR026928
Concentration‐discharge relationships of dissolved rhenium in alpine catchments reveal its use as a tracer of oxidative weathering
Hilton, R. G., Turowski, J. M., Winnick, M., Dellinger, M., Schleppi, P., Williams, K. H., … Hayton, A. (2021). Concentration‐discharge relationships of dissolved rhenium in alpine catchments reveal its use as a tracer of oxidative weathering. Water Resources Research, 57(11), e2021WR029844 (18 pp.). https://doi.org/10.1029/2021WR029844
Numerical analysis of the effect of subgrid variability in a physically based hydrological model on runoff, soil moisture, and slope stability
Leonarduzzi, E., Maxwell, R. M., Mirus, B. B., & Molnar, P. (2021). Numerical analysis of the effect of subgrid variability in a physically based hydrological model on runoff, soil moisture, and slope stability. Water Resources Research, 57(4), e2020WR027326 (16 pp.). https://doi.org/10.1029/2020WR027326
Increasing the physical representation of forest‐snow processes in coarse‐resolution models: lessons learned from upscaling hyper‐resolution simulations
Mazzotti, G., Webster, C., Essery, R., & Jonas, T. (2021). Increasing the physical representation of forest‐snow processes in coarse‐resolution models: lessons learned from upscaling hyper‐resolution simulations. Water Resources Research, 57(5), e2020WR029064 (21 pp.). https://doi.org/10.1029/2020WR029064
Process-level evaluation of a hyper-resolution forest snow model using distributed multi-sensor observations
Mazzotti, G., Essery, R., Webster, C., Malle, J., & Jonas, T. (2020). Process-level evaluation of a hyper-resolution forest snow model using distributed multi-sensor observations. Water Resources Research, 56(9), e2020WR027572 (25 pp.). https://doi.org/10.1029/2020WR027572
Resolving small‐scale forest snow patterns using an energy‐balance snow model with a 1‐layer canopy
Mazzotti, G., Essery, R., Moeser, C. D., & Jonas, T. (2020). Resolving small‐scale forest snow patterns using an energy‐balance snow model with a 1‐layer canopy. Water Resources Research, 56(1), e2019WR026129 (22 pp.). https://doi.org/10.1029/2019WR026129
Spatial distribution and scaling properties of lidar-derived snow depth in the extratropical Andes
Mendoza, P. A., Shaw, T. E., McPhee, J., Musselman, K. N., Revuelto, J., & MacDonell, S. (2020). Spatial distribution and scaling properties of lidar-derived snow depth in the extratropical Andes. Water Resources Research, 56(12), e2020WR028480 (23 pp.). https://doi.org/10.1029/2020WR028480
Effect of sediment supply on cyclic fluctuations of the disequilibrium ratio and threshold transport discharge, inferred from bedload transport measurements over 27 years at the Swiss Erlenbach stream
Rickenmann, D. (2020). Effect of sediment supply on cyclic fluctuations of the disequilibrium ratio and threshold transport discharge, inferred from bedload transport measurements over 27 years at the Swiss Erlenbach stream. Water Resources Research, 56(11), e2020WR027741 (22 pp.). https://doi.org/10.1029/2020WR027741
Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing
Shaw, T. E., Gascoin, S., Mendoza, P. A., Pellicciotti, F., & McPhee, J. (2020). Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing. Water Resources Research, 56(2), e2019WR024880 (23 pp.). https://doi.org/10.1029/2019WR024880
The utility of optical satellite winter snow depths for initializing a glacio-hydrological model of a high-elevation, Andean catchment
Shaw, T. E., Caro, A., Mendoza, P., Ayala, Á., Pellicciotti, F., Gascoin, S., & McPhee, J. (2020). The utility of optical satellite winter snow depths for initializing a glacio-hydrological model of a high-elevation, Andean catchment. Water Resources Research, 56(8), e2020WR027188 (19 pp.). https://doi.org/10.1029/2020WR027188
The value of subseasonal hydrometeorological forecasts to hydropower operations: how much does preprocessing matter?
Anghileri, D., Monhart, S., Zhou, C., Bogner, K., Castelletti, A., Burlando, P., & Zappa, M. (2019). The value of subseasonal hydrometeorological forecasts to hydropower operations: how much does preprocessing matter? Water Resources Research, 55(12), 10159-10178. https://doi.org/10.1029/2019WR025280
The relative importance of different flood‐generating mechanisms across Europe
Berghuijs, W. R., Harrigan, S., Molnar, P., Slater, L. J., & Kirchner, J. W. (2019). The relative importance of different flood‐generating mechanisms across Europe. Water Resources Research, 55(6), 4582-4593. https://doi.org/10.1029/2019WR024841
Future trends in the interdependence between flood peaks and volumes: hydro‐climatological drivers and uncertainty
Brunner, M. I., Hingray, B., Zappa, M., & Favre, A. ‐C. (2019). Future trends in the interdependence between flood peaks and volumes: hydro‐climatological drivers and uncertainty. Water Resources Research, 55(6), 4745-4759. https://doi.org/10.1029/2019WR024701
Proneness of European catchments to multiyear streamflow droughts
Brunner, M. I., & Tallaksen, L. M. (2019). Proneness of European catchments to multiyear streamflow droughts. Water Resources Research, 55(11), 8881-8894. https://doi.org/10.1029/2019WR025903
Comparing aerial lidar observations with terrestrial lidar and snow‐probe transects from NASA's 2017 SnowEx campaign
Currier, W. R., Pflug, J., Mazzotti, G., Jonas, T., Deems, J. S., Bormann, K. J., … Lundquist, J. D. (2019). Comparing aerial lidar observations with terrestrial lidar and snow‐probe transects from NASA's 2017 SnowEx campaign. Water Resources Research, 55(7), 6285-6294. https://doi.org/10.1029/2018WR024533
High‐resolution snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan catchment
Girona‐Mata, M., Miles, E. S., Ragettli, S., & Pellicciotti, F. (2019). High‐resolution snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan catchment. Water Resources Research, 55(8), 6754-6772. https://doi.org/10.1029/2019WR024935
Retrieval of snow water equivalent, liquid water content, and snow height of dry and wet snow by combining GPS signal attenuation and time delay
Koch, F., Henkel, P., Appel, F., Schmid, L., Bach, H., Lamm, M., … Mauser, W. (2019). Retrieval of snow water equivalent, liquid water content, and snow height of dry and wet snow by combining GPS signal attenuation and time delay. Water Resources Research, 55, 4465-4487. https://doi.org/10.1029/2018WR024431
Influence of spatial resolution on snow cover dynamics for a coastal and mountainous region at high latitudes (Norway)
Magnusson, J., Eisner, S., Huang, S., Lussana, C., Mazzotti, G., Essery, R., … Beldring, S. (2019). Influence of spatial resolution on snow cover dynamics for a coastal and mountainous region at high latitudes (Norway). Water Resources Research, 55(7), 5612-5630. https://doi.org/10.1029/2019WR024925
Revisiting snow cover variability and canopy structure within forest stands: insights from airborne lidar data
Mazzotti, G., Currier, W. R., Deems, J. S., Pflug, J. M., Lundquist, J. D., & Jonas, T. (2019). Revisiting snow cover variability and canopy structure within forest stands: insights from airborne lidar data. Water Resources Research, 55(7), 6198-6216. https://doi.org/10.1029/2019WR024898
Bias correction of airborne thermal infrared observations over forests using melting snow
Pestana, S., Chickadel, C. C., Harpold, A., Kostadinov, T. S., Pai, H., Tyler, S., … Lundquist, J. D. (2019). Bias correction of airborne thermal infrared observations over forests using melting snow. Water Resources Research, 55(12), 11331-11343. https://doi.org/10.1029/2019WR025699
 

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