Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3895-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3895-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assessing the benefit of snow data assimilation for runoff modeling in Alpine catchments
Nena Griessinger
CORRESPONDING AUTHOR
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Department of Geography, University of Zurich, Zurich, Switzerland
Jan Seibert
Department of Geography, University of Zurich, Zurich, Switzerland
Jan Magnusson
Norwegian Water Resources and Energy Directorate (NVE), Oslo, Norway
Tobias Jonas
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
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47 citations as recorded by crossref.
- Appropriate temporal resolution of precipitation data for discharge modelling in pre-alpine catchments A. Sikorska & J. Seibert 10.1080/02626667.2017.1410279
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- Quantifying the observational requirements of a space-borne LiDAR snow mission Y. Kwon et al. 10.1016/j.jhydrol.2021.126709
- Improving the Informational Value of MODIS Fractional Snow Cover Area Using Fuzzy Logic Based Ensemble Smoother Data Assimilation Frameworks A. Teweldebrhan et al. 10.3390/rs11010028
- GEE can prominently reduce uncertainties from input data and parameters of the remote sensing-driven distributed hydrological model Z. Pan et al. 10.1016/j.scitotenv.2023.161852
- Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment N. Wever et al. 10.5194/hess-21-4053-2017
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- Assimilation of Ground and Satellite Snow Observations in a Distributed Hydrologic Model for Water Supply Forecasting P. Micheletty et al. 10.1111/1752-1688.12975
- An Enkf-Based Scheme for Snow Multivariable Data Assimilation at an Alpine Site G. Piazzi et al. 10.2478/johh-2018-0013
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- What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. 10.1029/2019WR026987
- Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey J. Helmert et al. 10.3390/geosciences8120489
- Impacts of elevational variability of climate and frozen ground on streamflow in a glacierized catchment in Tibetan Plateau M. Gao et al. 10.1016/j.jhydrol.2023.129312
- The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
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- Impact of Extreme Land Surface Heterogeneity on Micrometeorology over Spring Snow Cover R. Mott et al. 10.1175/JHM-D-17-0074.1
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- Impact of climate change on spatiotemporal patterns of snow hydrology: Conceptual frameworks, machine learning versus nested model M. Besharatifar & M. Nasseri 10.1016/j.pce.2024.103691
- Relative Influence of Timing and Accumulation of Snow on Alpine Land Surface Phenology J. Xie et al. 10.1002/2017JG004099
- Land surface phenology and greenness in Alpine grasslands driven by seasonal snow and meteorological factors J. Xie et al. 10.1016/j.scitotenv.2020.138380
- Estimating hydrologic vulnerabilities to climate change using simulated historical data: A proof-of-concept for a rapid assessment algorithm in the Colorado River Basin K. Solander et al. 10.1016/j.ejrh.2019.100642
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- Estimating Snow Mass and Peak River Flows for the Mackenzie River Basin Using GRACE Satellite Observations S. Wang et al. 10.3390/rs9030256
46 citations as recorded by crossref.
- Appropriate temporal resolution of precipitation data for discharge modelling in pre-alpine catchments A. Sikorska & J. Seibert 10.1080/02626667.2017.1410279
- Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments N. Griessinger et al. 10.1016/j.advwatres.2019.103410
- Assessing the factors governing the ability to predict late-spring flooding in cold-region mountain basins V. Vionnet et al. 10.5194/hess-24-2141-2020
- Hydrological Impact of the New ECMWF Multi-Layer Snow Scheme E. Zsoter et al. 10.3390/atmos13050727
- Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe M. Girons Lopez et al. 10.5194/hess-24-4441-2020
- Attribution of growing season evapotranspiration variability considering snowmelt and vegetation changes in the arid alpine basins T. Ning et al. 10.5194/hess-25-3455-2021
- Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
- Multi-Objective Calibration of a Distributed Hydrological Model in a Highly Glacierized Watershed in Central Asia H. Ji et al. 10.3390/w11030554
- Estimating surface runoff and groundwater recharge in an urban catchment using a water balance approach R. Weatherl et al. 10.1007/s10040-021-02385-1
- Seasonal streamflow forecasts for Europe – Part 2: Sources of skill W. Greuell et al. 10.5194/hess-23-371-2019
- Fusing daily snow water equivalent from 1980 to 2020 in China using a spatiotemporal XGBoost model L. Sun et al. 10.1016/j.jhydrol.2024.130876
- Climate change effects on groundwater recharge and temperatures in Swiss alluvial aquifers J. Epting et al. 10.1016/j.hydroa.2020.100071
- Quantifying the observational requirements of a space-borne LiDAR snow mission Y. Kwon et al. 10.1016/j.jhydrol.2021.126709
- Improving the Informational Value of MODIS Fractional Snow Cover Area Using Fuzzy Logic Based Ensemble Smoother Data Assimilation Frameworks A. Teweldebrhan et al. 10.3390/rs11010028
- GEE can prominently reduce uncertainties from input data and parameters of the remote sensing-driven distributed hydrological model Z. Pan et al. 10.1016/j.scitotenv.2023.161852
- Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment N. Wever et al. 10.5194/hess-21-4053-2017
- Effects of climate anomalies on warm-season low flows in Switzerland M. Floriancic et al. 10.5194/hess-24-5423-2020
- Hyper-resolution ensemble-based snow reanalysis in mountain regions using clustering J. Fiddes et al. 10.5194/hess-23-4717-2019
- Downsizing parameter ensembles for simulations of rare floods A. Sikorska-Senoner et al. 10.5194/nhess-20-3521-2020
- Multi-Criteria Evaluation of Snowpack Simulations in Complex Alpine Terrain Using Satellite and In Situ Observations J. Revuelto et al. 10.3390/rs10081171
- UAS remote sensing applications to abrupt cold region hazards M. Verfaillie et al. 10.3389/frsen.2023.1095275
- A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment G. Piazzi et al. 10.5194/tc-12-2287-2018
- Snowmelt erosion: A review Z. Wu & H. Fang 10.1016/j.earscirev.2024.104704
- A seasonal algorithm of the snow-covered area fraction for mountainous terrain N. Helbig et al. 10.5194/tc-15-4607-2021
- Comparison of Deterministic and Probabilistic Variational Data Assimilation Methods Using Snow and Streamflow Data Coupled in HBV Model for Upper Euphrates Basin G. Uysal et al. 10.3390/geosciences13030089
- Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. 10.3389/feart.2020.00325
- Assimilation of Ground and Satellite Snow Observations in a Distributed Hydrologic Model for Water Supply Forecasting P. Micheletty et al. 10.1111/1752-1688.12975
- An Enkf-Based Scheme for Snow Multivariable Data Assimilation at an Alpine Site G. Piazzi et al. 10.2478/johh-2018-0013
- Improving the estimation of snow depth in the Noah-MP model by combining particle filter and Bayesian model averaging Y. You et al. 10.1016/j.jhydrol.2022.128877
- What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. 10.1029/2019WR026987
- Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey J. Helmert et al. 10.3390/geosciences8120489
- Impacts of elevational variability of climate and frozen ground on streamflow in a glacierized catchment in Tibetan Plateau M. Gao et al. 10.1016/j.jhydrol.2023.129312
- The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
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- A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations A. Sikorska-Senoner & J. Quilty 10.1016/j.envsoft.2021.105094
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- Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. 10.3390/rs12050811
- Fractional snow-covered area: scale-independent peak of winter parameterization N. Helbig et al. 10.5194/tc-15-615-2021
- Impact of Extreme Land Surface Heterogeneity on Micrometeorology over Spring Snow Cover R. Mott et al. 10.1175/JHM-D-17-0074.1
- Assessing the impact of distributed snow water equivalent calibration and assimilation of Copernicus snow water equivalent on modelled snow and streamflow performance A. Beaton et al. 10.1002/hyp.15075
- A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates Y. You et al. 10.5194/hess-27-2919-2023
- Impact of climate change on spatiotemporal patterns of snow hydrology: Conceptual frameworks, machine learning versus nested model M. Besharatifar & M. Nasseri 10.1016/j.pce.2024.103691
- Relative Influence of Timing and Accumulation of Snow on Alpine Land Surface Phenology J. Xie et al. 10.1002/2017JG004099
- Land surface phenology and greenness in Alpine grasslands driven by seasonal snow and meteorological factors J. Xie et al. 10.1016/j.scitotenv.2020.138380
- Estimating hydrologic vulnerabilities to climate change using simulated historical data: A proof-of-concept for a rapid assessment algorithm in the Colorado River Basin K. Solander et al. 10.1016/j.ejrh.2019.100642
- Operational snow-hydrological modeling for Switzerland R. Mott et al. 10.3389/feart.2023.1228158
1 citations as recorded by crossref.
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Short summary
In Alpine catchments, snowmelt is a major contribution to runoff. In this study, we address the question of whether the performance of a hydrological model can be enhanced by integrating data from an external snow monitoring system. To this end, a hydrological model was driven with snowmelt input from snow models of different complexities. Best performance was obtained with a snow model, which utilized data assimilation, in particular for catchments at higher elevations and for snow-rich years.
In Alpine catchments, snowmelt is a major contribution to runoff. In this study, we address the...