Skip to Main content Skip to Navigation
Journal articles

On the assimilation of optical reflectances and snow depth observations into a detailed snowpack model

Abstract : This paper examines the ability of optical re-flectance data assimilation to improve snow depth and snow water equivalent simulations from a chain of models with the SAFRAN meteorological model driving the detailed multi-layer snowpack model Crocus now including a two-stream radiative transfer model for snow, TARTES. The direct use of reflectance data, allowed by TARTES, instead of higher level snow products, mitigates uncertainties due to commonly used retrieval algorithms. Data assimilation is performed with an ensemble-based method, the Sequential Importance Resampling Particle filter , to represent simulation uncertainties. In snowpack mod-eling, uncertainties of simulations are primarily assigned to meteorological forcings. Here, a method of stochastic perturbation based on an autoregressive model is implemented to explicitly simulate the consequences of these uncertainties on the snowpack estimates. Through twin experiments, the assimilation of synthetic spectral reflectances matching the MODerate resolution Imaging Spectroradiometer (MODIS) spectral bands is examined over five seasons at the Col du Lautaret, located in the French Alps. Overall, the assimilation of MODIS-like data reduces by 45 % the root mean square errors (RMSE) on snow depth and snow water equivalent. At this study site, the lack of MODIS data on cloudy days does not affect the assimilation performance significantly. The combined assimilation of MODIS-like reflectances and a few snow depth measurements throughout the 2010/2011 season further reduces RMSEs by roughly 70 %. This work suggests that the assimilation of optical reflectances has the potential to become an essential component of spatialized snowpack simulation and forecast systems. The assimilation of real MODIS data will be investigated in future works.
Document type :
Journal articles
Complete list of metadatas

Cited literature [66 references]  Display  Hide  Download

https://hal-insu.archives-ouvertes.fr/insu-01388769
Contributor : Bérénice Boeuf <>
Submitted on : Thursday, October 27, 2016 - 3:06:22 PM
Last modification on : Thursday, July 16, 2020 - 9:18:04 AM

File

CRYOSPHERE - On the assimilati...
Publication funded by an institution

Identifiers

Collections

Citation

Luc Charrois, Emmanuel Cosme, Marie Dumont, Matthieu Lafaysse, Samuel Morin, et al.. On the assimilation of optical reflectances and snow depth observations into a detailed snowpack model. The Cryosphere, Copernicus 2016, 10, pp.1021 - 1038. ⟨10.5194/tc-10-1021-2016-supplement⟩. ⟨insu-01388769⟩

Share

Metrics

Record views

342

Files downloads

467