Alonso-Gonzalez, E, K Aalstad, N Pirk, M Mazzolini, D Treichler, P Leclercq, S Westermann, JI Lopez-Moreno and S Gascoin, 2023. Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation. Hydrology and Earth System Sciences, 27, doi:10.5194/hess-27-4637-2023.
Alonso-Gonzalez, E, K Aalstad, M Wassim Baba, J Revuelto, J I Lopez-Moreno, J Fiddes, R Essery and S Gascoin, 2022. The Multiple Snow Data Assimilation System (MuSA v1.0). Geoscientific Model Development, 5, doi:10.5194/gmd-15-9127-2022.
Alonso-Gonzalez, E, S Gascoin, S Arioli and G Picard, 2023. Exploring the potential of thermal infrared remote sensing to improve a snowpack model through an observing system simulation experiment. The Cryosphere, 17, doi:10.5194/tc-17-3329-2023.
Alonso-Gonzalez, E., E. Gutmann, K. Aalstad, A. Fayad, M. Bouchet and S. Gascoin, 2021. Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely sensed fractional snow-covered area. Hydrology and Earth System Sciences, 25, 4455-4471, 10.5194/hess-25-4455-2021.
Alonso-Gonzalez, E, JI Lopez-Moreno, S Gascoin, M Garcia-Valdecasas Ojed, A Sanmiguel-Vallelado, F Navarro-Serrano, J Revuelto, A Ceballos, MJ Esteban-Parr and R Essery, 2018. Daily gridded datasets of snow depth and snow water equivalent for the Iberian Peninsula from 1980 to 2014. Earth System Science Data, 10, 303-315, doi:10.5194/essd-10-303-2018.
Alonso-Gonzalez, E, JI Lopez-Moreno, F Navarro-Serrano, A Sanmiguel-Vallelado, M Aznarez-Balta, J Revuelto and A Ceballos, 2020. Snowpack sensitivity to temperature, precipitation, and solar radiation variability over an elevational gradient in the Iberian mountains. Atmospheric Research, 243, 104973, doi:10.1016/j.atmosres.2020.104973.
Berg, J, D Reynolds, L Quéno, T Jonas, M Lehning, R Mott, 2024. A seasonal snowpack model forced with dynamically downscaled forcing data resolves hydrologically relevant accumulation patterns. Frontiers in Earth Science, 12, doi: 10.3389/feart.2024.1393260.
Bonsoms, J, J I Lopez-Moreno and E Alonso-Gonzalez, 2023. Snow sensitivity to temperature and precipitation change during compound cold-hot and wet-dry seasons in the Pyrenees. The Cryosphere, 17, 1307-1326, doi:10.5194/tc-17-1307-2023.
Bonsoms, J, M Oliva, E Alonso-Gonzalez, J Revuelto, J I Lopez-Moreno, 2024. Impact of climate change on snowpack dynamics in coastal Central-Western Greenland. Science of The Total Environment, 913, doi:10.1016/j.scitotenv.2023.169616
De Gregorio, L, D Guenther, M Callegari, U Strasser, M Zebisch, L Bruzzone and C Notarnicola, 2021. Improving SWE estimation by fusion of snow models with topographic and remotely sensed data. Remote Sensing, 11, https://doi.org/10.3390/rs11172033.
Essery, R, 2015. A Factorial Snowpack Model (FSM 1.0). Geoscientific Model Development, 8, 3867-3876, doi:10.5194/gmd-8-3867-2015.
Essery, R, S Morin, Y Lejeune and C Menard, 2013. A comparison of 1701 snow models using observations from an alpine site. Advances in Water Resources, 55, 131-148, doi:10.1016/j.advwatres.2012.07.013.
Guenther, D, T Marke, R Essery and U Strasser, 2019. Uncertainties in snowpack simulations - Assessing the impact of model structure, parameter choice, and forcing data error on point-scale energy balance snow model performance. Water Resources Research, 55, 2779-2800, doi:10.1029/2018WR023403.
Krinner, G, C Derksen, R Essery et al., 2018. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. Geoscientific Model Development, 11, 5027-5049, doi:10.5194/gmd-11-5027-2018.
Lopez-Moreno, JI, N Callow, H McGowan, R Webb, A Schwartz, S Bilish, J Revuelto, S Gascoin, C Deschamps-Berger, E Alonso-Gonzalez, 2024. Marginal snowpacks: The basis for a global definition and existing research needs. Earth-Science Reviews, 252, doi:10.1016/j.earscirev.2024.104751.
Magnusson, J, N Wever, R Essery, N Helbig, A Winstral and T Jonas, 2015. Evaluating snow models with varying process representations for hydrological applications. Water Resources Research, 51, 2707-2723, doi:10.1002/2014WR016498.
Magnusson, J, A Winstral, AS Stordal, R Essery and T Jonas, 2017. Improving physically based snow simulations by assimilating snow depths using the particle filter. Water Resources Research, 53, 1125-1143, doi:10.1002/2016WR019092.
Magnusson, J, S Eisner, S Huang, C Lussana, G Mazzotti, R Essery, T Saloranta and S Beldring, 2019. Influence of spatial resolution on snow cover dynamics for a coastal and mountainous region at high latitudes (Norway). Water Resources Research, 55, 5612-5630, doi:10.1029/2019WR024925
Mazzotti, G, R Essery, CD Moeser and T Jonas, 2020. Resolving small-scale forest snow patterns using an energy balance snow model with a one-layer canopy. Water Resources Research, 56, doi:10.1029/2019WR026129.
Mazzotti, G, R Essery, C Webster, J Malle and T Jonas, 2020. Process-level evaluation of a hyper-resolution forest snow model using distributed multisensor observations. Water Resources Research, 56, doi:10.1029/2020WR027572.
Mazzotti, G, C Webster, R Essery and T Jonas, 2021. Increasing the physical representation of forest-snow processes in coarse-resolution models: Lessons learned from upscaling hyper-resolution simulations. Water Resources Research, 57, doi:10.1029/2020WR029064.
Mazzotti, G, C Webster, L Queno, B Cluzet and T Jonas, 2023. Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests. Hydrology and Earth System Science, 27, 2099-2121, doi:10.5194/hess-27-2099-2023.
Moeser, D, G Mazzotti, N Helbig and T Jonas, 2016. Representing spatial variability of forest snow: Implementation of a new interception model. Water Resources Research, 52, 1208-1226, doi:10.1002/2015WR017961.
Mott, R, A Winstral, B Cluzet, N Helbig, J Magnusson, G Mazzotti, L Queno, M Schirmer, C Webster and T Jonas, 2023. Operational snow-hydrological modelling for Switzerland. Frontiers in Earth Science, 11, article 1228158, doi:10.3389/feart.2023.1228158.
Pritchard, DMW, N Forsythe, G O'Donnell, HJ Fowler and N Rutter, 2020. Multi-physics ensemble snow modelling in the western Himalaya. The Cryosphere, 14, 1225-1244, doi:10.5194/tc-14-1225-2020.
Queno, L, R Mott, P Morin, B Cluzet, G Mazzotti and T Jonas, 2023. Snow redistribution in an intermediate-complexity snow hydrology modelling framework. EGUsphere, doi:10.5194/egusphere-2023-2071.
Rutter, N, R Essery, R Baxter, S Hancock, M Horton, B Huntley, T Reid, J Woodward, 2023. Canopy structure and air temperature inversions impact simulation of sub-canopy longwave radiation in snow-covered boreal forests. Journal of Geophysical Research: Atmospheres, 128, e2022JD037980, doi:10.1029/2022JD037980.
Sandells, M, R Essery, N Rutter, L Wake, L Leppanen, and J Lemmetyinen, 2017. Microstructure representation of snow in coupled snowpack and microwave emission models. The Cryosphere, 11, 229-246, doi:10.5194/tc-11-229-2017.
Smyth, EJ, MS Raleigh and EE Small, 2020. Improving SWE estimation with data assimilation: The influence of snow depth observation timing and uncertainty. Water Resources Research, 56, e2019WR026853, doi:10.1029/2019WR026853.
Smyth, EJ, MS Raleigh and EE Small, 2022. The challenges of simulating SWE beneath forest canopies are reduced by data assimilation of snow depth. Water Resources Research, 58, e2021WR030563, doi:10.1029/2021WR030563.
Steele, H, EE Small and MS Raleigh, 2024. Demonstrating a hybrid machine learning approach for snow characteristic estimation throughout the western United States. Water Resources Research, 60, e2023WR035805, doi:10.1029/2023WR035805.
Alonso-Gonzalez, E, 2020. The snowpack over the Iberian Peninsula: climatology and sensitivity to climate variability. PhD thesis, Universidad de Valladolid, Spain.
Barr, S, 2018. Forest canopy effects on micro-meteorological conditions and snow pack dynamics. MSc thesis, ETH Zurich, Switzerland.
Mazzotti, G, 2020. Canopy structure controls on forest snow cover dynamics. PhD thesis, ETH Zurich, Switzerland, doi:10.3929/ethz-b-000476668.
Moeser, CD, 2015. The influence of forest canopy structure on snow hydrology. PhD thesis, ETH Zurich, Switzerland, doi:10.3929/ethz-a-010578498.
Priestley, A, 2022. Using geophysical data to understand liquid water dynamics in seasonal snow. PhD thesis, University of Edinburgh, UK.
Pritchard, D, 2019. Evaluation of climate and hydrological models for impact projections in the Upper Indus Basin. PhD thesis, Newcastle University, UK, http://theses.ncl.ac.uk/jspui/handle/10443/4706.
Wright, M, 2021. The potential impact of climate change on seasonal snow in the Clutha/Mata-Au catchment, New Zealand. Master of Applied Science in Environmental Management, University of Otago, New Zealand.