| 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 |
| 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 |
| The bias detecting ensemble: a new and efficient technique for dynamically incorporating observations into physics‐based, multi‐layer, snow models
Winstral, A., Magnusson, J., Schirmer, M., & Jonas, T. (2019). The bias detecting ensemble: a new and efficient technique for dynamically incorporating observations into physics‐based, multi‐layer, snow models. Water Resources Research, 55, 613-631. https://doi.org/10.1029/2018WR024521 |