A5004618952- Cryospheric studies and observations
- Landslides and related hazards
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Winter Sports Injuries and Performance
- Satellite Image Processing and Photogrammetry
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
- Arctic and Antarctic ice dynamics
- Climate variability and models
- Polar Research and Ecology
- Geological Modeling and Analysis
- Geophysics and Gravity Measurements
- Flood Risk Assessment and Management
- Meteorological Phenomena and Simulations
- Infrared Target Detection Methodologies
- Disaster Management and Resilience
- Environmental and Cultural Studies in Latin America and Beyond
- Tree-ring climate responses
- Advanced Vision and Imaging
- Agriculture and Rural Development Research
- Seismology and Earthquake Studies
- Computational Physics and Python Applications
- Soil erosion and sediment transport
- High Altitude and Hypoxia
Instituto Pirenaico de Ecología
2022-2025
Consejo Superior de Investigaciones Científicas
2022-2025
Centre d'Études Spatiales de la Biosphère
2019-2024
Université Toulouse III - Paul Sabatier
2019-2024
Institut de Recherche pour le Développement
2019-2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2024
Centre National de la Recherche Scientifique
2019-2024
National Institute of Ecology
2024
Universitat de València
2024
Université de Toulouse
2019-2022
A deadly cascade catastrophic landslide in Uttarakhand state India on February 2021 damaged two hydropower plants, and more than 200 people were killed or are missing. Shugar et al. describe the of events that led to this disaster. massive rock ice avalanche roared down a Himalayan valley, turning into debris flow upstream from first plants. The sequence highlights increasing risk Himalayas caused by increased warming development. Science , abh4455, issue p. 300
Quantarctica (https://www.npolar.no/quantarctica) is a geospatial data package, analysis environment, and visualization platform for the Antarctic Continent, Southern Ocean (>40oS), sub-Antarctic islands. works with free, cross-platform Geographical Information System (GIS) software QGIS can run without an Internet connection, making it viable tool fieldwork in remote areas. The package includes basemaps, satellite imagery, terrain models, scientific nine disciplines, including physical...
Abstract. Accurate knowledge of snow depth distributions in mountain catchments is critical for applications hydrology and ecology. Recently, a method was proposed to map at meter-scale resolution from very-high-resolution stereo satellite imagery (e.g., Pléiades) with an accuracy close 0.5 m. However, the validation limited probe measurements unmanned aircraft vehicle (UAV) photogrammetry, which sampled fraction topographic variability. We improve upon this evaluation using accurate maps...
Abstract Moutain snow cover is highly variable both spatially and temporally has a tremendous impact on ecosystems human activities. Numerical models provide continuous estimates of the variability properties in time space. However, they suffer from large uncertainties, for instance originating errors meteorological inputs. Here, we show that depth at 250 m spatial resolution can be well simulated by assimilating maps satellite photogrammetry detailed snowpack model. The assimilation single...
Abstract. The unprecedented precision of satellite laser altimetry data from the NASA ICESat-2 mission and increasing availability high-resolution elevation datasets open new opportunities to measure snow depth in mountains, a critical variable for ecosystem water resource monitoring. We retrieved over upper Tuolumne basin (California, USA) 3 years by differencing ATL06 snow-on elevations various snow-off digital models. Snow derived only (snow-on snow-off) offers poor temporal spatial...
Sentinel-2 provides the opportunity to map snow cover at unprecedented spatial and temporal resolutions on a global scale. Here we calibrate evaluate simple empirical function estimate fractional (FSC) in open terrains using normalized difference index (NDSI) from 20 m resolution images. The NDSI is computed flat surface reflectance after masking cloud snow-free areas. NDSI–FSC calibrated Pléiades very high-resolution images evaluated independent datasets including SPOT 6/7 satellite images,...
Estimating the amount of snow, its evolution and spatiotemporal distribution in complex high-alpine terrain is currently considered as one most important challenges alpine hydrology water resources management. This predominantly caused by lack accurate information on variations snow equivalent (SWE) vast regions with no sensor to measure SWE beyond local scale. At Mt. Zugspitze, Germany, a superconducting gravimeter senses gravity effect seasonal reflecting temporal few kilometers scale...
Abstract. The spatial distribution of snow in the mountains is significantly influenced through interactions topography with wind, precipitation, shortwave and longwave radiation, avalanches that may relocate accumulated snow. One most crucial model parameters for various applications such as weather forecasts, climate predictions hydrological modeling fraction ground surface covered by snow, also called fractional snow-covered area (fSCA). While previous subgrid parameterizations depth fSCA...
Abstract. Climate warming is changing the magnitude, timing, and spatial patterns of mountain snowpacks. A warmer atmosphere may also induce precipitation phase shifts, resulting in a decreased snowfall fraction (Sf). The combination Sf snowpack directly influences frequency intensity rain-on-snow (ROS) events, common cause flash-flood events snow-dominated regions. In this work, we investigate ROS their sensitivity to temperature changes Pyrenees by modeling through physically based snow...
Abstract Given rapid glacier thinning and retreat observed in the Pyrenees recent decades, an updated inventory continuous mass balance assessments are important to understand ongoing variability changes of these very small glaciers (< 0.5 km 2 ). The years 2021/22 2022/23 were characterised by prolonged extreme heat waves reduced snow duration that severely affected Pyrenees, which also impacted their glaciers. This paper reviews criteria for classifying ice bodies as or patches,...
Abstract. Lidar is an effective tool to measure snow depth over key watersheds across the United States. Lidar-derived observations from airborne platforms have demonstrated centimeter-level accuracy at high spatial resolution. However, ground-based and lidar surveys are costly limited in space time. In recent years, there has been emerging interest using spaceborne estimate depth. Preliminary results altimeters such as NASA Ice, Cloud, Land Elevation Satellite-2 (ICESat-2) ca provide...
Accurate spatially distributed simulations of snow cover in mountainous regions is highly dependent on the possibility to well constrain accumulation solid precipitation. A number observations and model data can provide direct or indirect assessment their amount with varying spatial resolutions, coverage uncertainties. However, complementarity between different sources informations poorly documented methodologies appropriately combine all are missing.In this work, we present a new modelling...
ABSTRACT In this study, we combine remote sensing, in situ and model-derived datasets from 1966 to 2014 calculate the mass-balance components of Kronebreen, a fast-flowing tidewater glacier Svalbard. For well-surveyed period 2009–2014, are able close mass budget within prescribed errors. During these 5 years, geodetic balance was −0.69 ± 0.12 m w.e. −1 , while method led total −0.92 0.16 as consequence strong frontal ablation (−0.78 0.11 ), slightly negative climatic (−0.14 ). The trend...
Abstract. The mountainous snow cover is highly variable at all temporal and spatial scales. Snowpack models only imperfectly represent this variability, because of uncertain meteorological inputs, physical parameterizations, unresolved terrain features. In situ observations the height (HS), despite their limited representativeness, could help constrain intermediate large-scale modeling errors by means data assimilation. work, we assimilate HS from an in network 295 stations covering French...
Abstract. Accurate snow cover modeling is a high stake for mountain regions. Alpine evolution and spatial variability result from multitude of complex processes including interactions between wind snow. The SnowPappus blowing model was designed to add capabilities the SURFEX/Crocus simulation system applications across large temporal extents. This paper presents very first spatialized evaluation this over 902 km2 domain in French Alps. Here we compare simulations distribution height obtained...
Quantifying the high elevation winter snowpack in mountain environments is crucial for lowland water supply, though it notoriously difficult to accurately estimate due a lack of observations and/or uncertainty distribution meteorological variables space and time. We compare spatial resolution (3 m), satellite-derived snow depth maps two drought years (2017 2019) catchment central Chilean Andes, applying recently updated methodology spaceborne photogrammetry. Regional weather station revealed...
In mountain areas, the phenology and productivity of grassland are closely related to snow dynamics. However, influence that melt timing has on growing still needs further attention for a full understanding, particularly at high spatial resolution. Aiming reduce this knowledge gap, work exploits 1 m resolution depth Normalized Difference Vegetation Index observations acquired with an Unmanned Aerial Vehicle sub-alpine site in Pyrenees. During two seasons (2019-2020 2020-2021), 14 NDVI 17...
Peñalara catchment, in the mountains of Central System Spain, For first time, we investigated streamflow and streamwater isotopes during snow accumulation melting periods over subsequent months two seasons. The aim is to better understand hydrological processes linked snowmelt; describe temporal evolution interannual differences isotopic streamwater; improve understanding about functioning snowmelt water across catchment. signal progressively became isotopically depleted from beginning melt...
Sentinel-2 provides the opportunity to map snow cover at unprecedented spatial and temporal resolution global scale. Here we calibrate evaluate a simple empirical function estimate fractional (FSC) in open terrain using normalized difference index (NDSI) from 20 m images. The NDSI is computed flat surface reflectances after masking cloud snow-free areas. NDSI-FSC calibrated Pl&eacute;iades very high images evaluated independent datasets including SPOT 6/7 satellite images, time lapse...
Abstract. Landslides are a major geohazard that cause thousands of fatalities every year. Despite their importance, identifying unstable slopes and forecasting collapses remains challenge. In this study, we use the 7 February 2021 Chamoli rock–ice avalanche as data-rich example to investigate potential remotely sensed datasets for assessment slope stability. We imagery over 3 decades preceding collapse assess precursory signs exhibited by prior catastrophic collapse. evaluate monthly motion...
Abstract Snowmelt drives a large portion of streamflow in many mountain areas the world. However, water paths from snowmelt to arrival streams are still largely unknown. This work analyzes for first time influence on spring with different snow accumulation and duration, an alpine catchment central Spanish Pyrenees. study presents balance main melting months (May June). Piezometric values, temperature, electrical conductivity isotope data (δ 18 O) allow better understanding hydrological...