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Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
De Lannoy, G. J. M., Bechtold, M., Albergel, C., Brocca, L., Calvet, J. C., Carrassi, A., … Steele-Dunne, S. (2022). Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication. Frontiers in Water, 4, 981745 (14 pp.). https://doi.org/10.3389/frwa.2022.981745
A novel method to quantify near-surface boundary-layer dynamics at ultra-high spatio-temporal resolution
Haugeneder, M., Lehning, M., Reynolds, D., Jonas, T., & Mott, R. (2022). A novel method to quantify near-surface boundary-layer dynamics at ultra-high spatio-temporal resolution. Boundary-Layer Meteorology. https://doi.org/10.1007/s10546-022-00752-3
Exploring snow distribution dynamics in steep forested slopes with UAV-borne LiDAR
Koutantou, K., Mazzotti, G., Brunner, P., Webster, C., & Jonas, T. (2022). Exploring snow distribution dynamics in steep forested slopes with UAV-borne LiDAR. Cold Regions Science and Technology, 200, 103587 (15 pp.). https://doi.org/10.1016/j.coldregions.2022.103587
Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps
Lievens, H., Brangers, I., Marshall, H. P., Jonas, T., Olefs, M., & De Lannoy, G. (2022). Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps. Cryosphere, 16(1), 159-177. https://doi.org/10.5194/tc-16-159-2022
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events
Schirmer, M., Winstral, A., Jonas, T., Burlando, P., & Peleg, N. (2022). Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events. Cryosphere, 16(9), 3469-3488. https://doi.org/10.5194/tc-16-3469-2022
Fractional snow-covered area: scale-independent peak of winter parameterization
Helbig, N., Bühler, Y., Eberhard, L., Deschamps-Berger, C., Gascoin, S., Dumont, M., … Jonas, T. (2021). Fractional snow-covered area: scale-independent peak of winter parameterization. Cryosphere, 15(2), 615-632. https://doi.org/10.5194/tc-15-615-2021
Observing snow depth at sub-kilometer resolution over the European Alps from Sentinel-1
Lievens, H., Brangers, I., Marshall, H. P., Jonas, T., Olefs, M., & De Lannoy, G. (2021). Observing snow depth at sub-kilometer resolution over the European Alps from Sentinel-1. In IEEE international geoscience and remote sensing symposium (IGARSS). IGARSS 2021- 2021 IEEE international geoscience and remote sensing symposium. Proceedings (pp. 618-621). https://doi.org/10.1109/IGARSS47720.2021.9553420
Snow interception modelling: isolated observations have led to many land surface models lacking appropriate temperature sensitivities
Lundquist, J. D., Dickerson-Lange, S., Gutmann, E., Jonas, T., Lumbrazo, C., & Reynolds, D. (2021). Snow interception modelling: isolated observations have led to many land surface models lacking appropriate temperature sensitivities. Hydrological Processes, 35(7), e14274 (20 pp.). https://doi.org/10.1002/hyp.14274
Effect of forest canopy structure on wintertime Land Surface Albedo: evaluating CLM5 simulations with in‐situ measurements
Malle, J., Rutter, N., Webster, C., Mazzotti, G., Wake, L., & Jonas, T. (2021). Effect of forest canopy structure on wintertime Land Surface Albedo: evaluating CLM5 simulations with in‐situ measurements. Journal of Geophysical Research D: Atmospheres, 126(9), e2020JD034118 (15 pp.). https://doi.org/10.1029/2020JD034118
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
Hatching phenology is lagging behind an advancing snowmelt pattern in a high-alpine bird
Schano, C., Niffenegger, C., Jonas, T., & Korner-Nievergelt, F. (2021). Hatching phenology is lagging behind an advancing snowmelt pattern in a high-alpine bird. Scientific Reports, 11, 22191 (11 pp.). https://doi.org/10.1038/s41598-021-01497-8
Effects of climate anomalies on warm-season low flows in Switzerland
Floriancic, M. G., Berghuijs, W. R., Jonas, T., Kirchner, J. W., & Molnar, P. (2020). Effects of climate anomalies on warm-season low flows in Switzerland. Hydrology and Earth System Sciences, 24(11), 5423-5438. https://doi.org/10.5194/hess-24-5423-2020
HPEval: a canopy shortwave radiation transmission model using high-resolution hemispherical images
Jonas, T., Webster, C., Mazzotti, G., & Malle, J. (2020). HPEval: a canopy shortwave radiation transmission model using high-resolution hemispherical images. Agricultural and Forest Meteorology, 284, 107903 (9 pp.). https://doi.org/10.1016/j.agrformet.2020.107903
Toward snow cover estimation in mountainous areas using modern data assimilation methods: a review
Largeron, C., Dumont, M., Morin, S., Boone, A., Lafaysse, M., Metref, S., … Margulis, S. A. (2020). Toward snow cover estimation in mountainous areas using modern data assimilation methods: a review. Frontiers in Earth Science, 8, 325 (21 pp.). https://doi.org/10.3389/feart.2020.00325
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
Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models
Webster, C., Mazzotti, G., Essery, R., & Jonas, T. (2020). Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models. Remote Sensing of Environment, 249, 112017 (15 pp.). https://doi.org/10.1016/j.rse.2020.112017
Land surface phenology and greenness in Alpine grasslands driven by seasonal snow and meteorological factors
Xie, J., Jonas, T., Rixen, C., de Jong, R., Garonna, I., Notarnicola, C., … Kneubühler, M. (2020). Land surface phenology and greenness in Alpine grasslands driven by seasonal snow and meteorological factors. Science of the Total Environment, 725, 138380 (11 pp.). https://doi.org/10.1016/j.scitotenv.2020.138380
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
Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments
Griessinger, N., Schirmer, M., Helbig, N., Winstral, A., Michel, A., & Jonas, T. (2019). Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments. Advances in Water Resources, 133, 103410 (12 pp.). https://doi.org/10.1016/j.advwatres.2019.103410
 

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