Simon Filhol

Filhol, S., & Sturm, M. (2015). Snow bedforms: A review, new data, and a formation model. Journal of Geophysical Research: Earth Surface, 120(9), 1645-1669.

• Martin, Leo Celestin Paul; Nitzbon, Jan; Scheer, Johanna; Aas, Kjetil Schanke; Eiken, Trond & Langer, Moritz [Vis alle 9 forfattere av denne artikkelen] (2021). Lateral thermokarst patterns in permafrost peat plateaus in northern Norway. The Cryosphere. ISSN 1994-0416. 15(7), s. 3423–3442. doi: 10.5194/tc-15-3423-2021. Fulltekst i vitenarkiv
• Girod, Luc Maurice Ramuntcho & Filhol, Simon Vincent P (2020). ABSOLUTE COREGISTRATION AND DOMING CORRECTION IN ADVERSE CONDITIONS, OR HOW TO RETRIEVE SNOW DEPTH FROM DRONE FLIGHTS. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ISSN 2194-9042. V-3-2020, s. 375–379. doi: 10.5194/isprs-annals-V-3-2020-375-2020. Fulltekst i vitenarkiv
• Filhol, Simon; Perret, Alexis; Girod, Luc Maurice Ramuntcho; Sutter, Guillaume; Schuler, Thomas & Burkhart, John (2019). Time-lapse photogrammetry of distributed snow depth during snowmelt. Water Resources Research. ISSN 0043-1397. 55(9), s. 7916–7926. doi: 10.1029/2018WR024530. Fulltekst i vitenarkiv Vis sammendrag

  Characterizing snowmelt both spatially and temporally from in situ observation remains a challenge. Available sensors (i.e., sonic ranger, lidar, airborne photogrammetry) provide either time series of local point measurements or sporadic surveys covering larger areas. We propose a methodology to recover from a minimum of three synchronized time-lapse cameras changes in snow depth and snow cover extent over area smaller or equivalent to 0.12 km2 . Our method uses photogrammetry to compute point clouds from a set of three or more images and automatically repeat this task for the entire time series. The challenges were (1) finding an optimal experimental setup deployable in the field, (2) estimating the error associated with this technique, and (3) being able to minimize the input of manual work in the data processing pipeline. Developed and tested in the field in Finse, Norway, over 1 month during the 2018 melt season, we estimated a median melt of 2.12 ± 0.48 m derived from three cameras 1.2 km away from the region of interest. The closest weather station recorded 1.94 m of melt. Other parameters like snow cover extent and duration could be estimated over a 300 × 400m region. The software is open source and applicable to a broader range of geomorphologic processes like glacier dynamic, snow accumulation, or any other processes of surface deformation, with the conditions of (1) having fixed visible points within the area of interest and (2) resolving sufficient surface textures in the photographs.

• Filhol, Simon & Sturm, Matthew (2019). The smoothing of landscapes during snowfall with no wind. Journal of Glaciology. ISSN 0022-1430. 65(250), s. 173–187. doi: 10.1017/jog.2018.104. Fulltekst i vitenarkiv

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• Aalstad, Kristoffer; Alonso-Gonzalez, Esteban; Bazilova, Varvara; Bertino, Laurent; Fiddes, Joel & Filhol, Simon [Vis alle 9 forfattere av denne artikkelen] (2021). Unmixing satellite imagery using data assimilation to map snow and albedo.
• Yilmaz, Yeliz A.; Aalstad, Kristoffer; Filhol, Simon; Gascoin, Simon; Stordal, Frode & Tallaksen, Lena M. (2021). Probing Fennoscandian Snow Cover Dynamics in the Community Land Model and Climate Reanalyses during the Satellite Era.
• Yilmaz, Yeliz A.; Aalstad, Kristoffer; Filhol, Simon; Gascoin, Simon; Stordal, Frode & Tallaksen, Lena M. (2021). Benchmarking CLM5 snow cover dynamics with MODIS and reanalyses over Fennoscandia .
• Yilmaz, Yeliz A.; Aalstad, Kristoffer; Filhol, Simon Vincent P; Stordal, Frode & Tallaksen, Lena M. (2020). The Representation of the Fennoscandian Snow Cover Phenology in Reanalyses and CLM5 during the MODIS-era. Vis sammendrag

  Snow plays an important role in cold regions through its effect on the terrestrial exchange of energy, water, and carbon. Accurately simulating snow processes is therefore important in capturing various climate feedbacks in Earth system models. The representation of the subgrid heterogeneity of snow properties (e.g. coverage, depth, density, albedo) are, in addition to accumulation and snowmelt, major sources of uncertainty in the snow modules of land surface schemes. Using multiple data sources is essential to address these uncertainties and to evaluate overall model performance. Unlike in-situ observations, satellite remote sensing products provide unique representative information at the scale of Earth system models. The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the Aqua and Terra satellites provide a continuous long-term climate record for the last two decades. In this study, two daily snow cover data sets from MODIS (MOD10A1 and MYD10A1) were used to retrieve fractional snow-covered area (fSCA) and several snow cover metrics (e.g. snow cover duration, first and last day of snow) over Fennoscandia for the 2001-2020 water years. We use these retrievals to evaluate the fSCA outputs from multiple reanalyses (ERA5-Land, ERA5, and MERRA-2) and the latest version of the Community Land Model (CLM5) which is the land component of the Community Earth System Model (CESM) and the Norwegian Earth System Model (NorESM). In order to test the accuracy of the MODIS data, we employed Sentinel-2 and Landsat 8 satellite retrievals as well as local‐scale measurements around the Finse Eco-Hydrological Observatory (Finse EcHO), a low-alpine site in central Norway. Lastly, we compared the trends in snow cover metrics with terrestrial water storage anomalies obtained from the Gravity Recovery and Climate Experiment (GRACE) to better understand the regional water cycle dynamics over this region. This study provides a useful starting point for integrating Earth observations into Earth system modeling in cold regions to help identify and constrain sources of uncertainty. Acknowledgement : This study is conducted under the LATICE strategic research initiative funded by the Faculty of Mathematics and Natural Sciences at the University of Oslo, and the EMERALD (project #294948) funded by the Research Council of Norway.

• Yilmaz, Yeliz A.; Aalstad, Kristoffer; Filhol, Simon Vincent P; Stordal, Frode & Tallaksen, Lena M. (2020). Fennoscandian snow cover phenology from MODIS, CLM5, and climate reanalyses.
• Yilmaz, Yeliz A.; Aalstad, Kristoffer; Filhol, Simon Vincent P; Stordal, Frode & Tallaksen, Lena M. (2020). Scandinavian snow cover phenology from MODIS, CLM, and reanalyses.
• Filhol, Simon Vincent P (2019). In-situ Sensing of Seasonal Snow in High Temporal and High Spatial Resolution with Time-lapse Photogrammetry and Wireless Sensor Network.
• Filhol, Simon Vincent P (2019). New Technology for High Spatial and Temporal Resolution in-situ Characterization of Snow and Atmospheric processes.
• Filhol, Simon Vincent P (2019). Snow measurements in Svalbard.
• Filhol, Simon Vincent P (2019). A Wireless Sensor Network: Status, development, and future.
• Filhol, Simon (2018). Snow Science Activities and Instrumentation Development at Finse.
• Filhol, Simon (2018). Snow distribution at Finse.
• Fouilloux, Anne Claire & Filhol, Simon (2018). UiO Hive collaborative platform. Vis sammendrag

  Set up a collaborative platform for the GeoHive project to collect expertise, organize events and learn from each other.

• Filhol, Simon; Thomas, Schuler & Burkhart, John (2017). The Morphological evolution of a wind-shaped snow surface during a storm event at Finse, NO.
• Filhol, Simon; Pirk, Norbert; Schuler, Thomas & Burkhart, John (2017). The Evolution of a Snow Dune Field.
• Burkhart, John; Decker, Sven; Filhol, Simon; Hulth, John; Nesje, Atle & Schuler, Thomas [Vis alle 8 forfattere av denne artikkelen] (2017). Development of the Finse Alpine Research Station towards a platform for multi-disciplinary research on Land-Atmosphere Interaction in Cold Environments (LATICE).
• Filhol, Simon; Schuler, Thomas; Burkhart, John; Hulth, John & Decker, Sven (2017). A network of instrumentation to keep track of snow distribution at Finse, Norway.
• Filhol, Simon; Pirk, Norbert; Schuler, Thomas & Burkhart, John (2017). The morphological evolution of a wind-shaped snow surface during a storm event at Finse, Norway.
• Schuler, Thomas; Tweldebrahn, Aynom Tesfay; Filhol, Simon & Burkhart, John (2017). ESCYMO activities and linkage to SnowHow.
• Burkhart, John; Schuler, Thomas; Tallaksen, Lena M.; Filhol, Simon; Hulth, John & Decker, Sven (2016). Snow model validation in Norway at the Land Atmosphere Interaction in Cold Environments (LATICE) Finse site.
• Filhol, Simon; Burkhart, John; Schuler, Thomas & Hulth, John (2016). Capturing snow depth distribution with a low cost and wireless weather station network.
• Filhol, Simon; Burkhart, John; Schuler, Thomas & Hulth, John (2016). Weather stations for wind-blown snow at Finse, Norway: A distributed and real-time wireless network of.
• Filhol, Simon; Burkhart, John; Schuler, Thomas & Hulth, John (2016). A distributed and real-time wireless network of weather stations for wind-blown snow at Finse, Norway.
• Schuler, Thomas; Aalstad, Kristoffer; Aas, Kjetil Schanke; Burkhart, John; Dunse, Thorben & Filhol, Simon [Vis alle 9 forfattere av denne artikkelen] (2016). Towards real-time snow products for Svalbard.

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