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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Alonso-González, E., Gutmann, E., Aalstad, K., Fayad, A., and Gascoin, S.
Title
Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely-sensed fractional snow-covered area
Year
2020
Publication Outlet
Hydrol. Earth Syst. Sci. Discuss.
DOI
https://doi.org/10.5194/hess-2020-335
Citation
Alonso-González, E., Gutmann, E., Aalstad, K., Fayad, A., and Gascoin, S. 2020: Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely-sensed fractional snow-covered area, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-335 , in review.
Abstract
The snowpack over the Mediterranean mountains constitutes a key water
resource for the downstream populations. However, its dynamics have not been
studied in detail yet in many areas, mostly because of the scarcity of snowpack
observations. In this work, we present a characterization of the snowpack over the
two mountain ranges of Lebanon. To obtain the necessary snowpack information,
we have developed a 1 km regional scale snow reanalysis (ICAR_assim) covering the
period 2010-2017. ICAR_assim was developed by means of ensemble-based data
assimilation of MODIS fractional snow-covered area (fSCA) through the energy and
mass balance model the Flexible Snow Model (FSM2), using the Particle Batch
Smoother (PBS). The meteorological forcing data was obtained by a regional
atmospheric simulation developed through the Intermediate Complexity
Atmospheric Research model (ICAR) nested inside a coarser regional simulation
developed by the Weather Research and Forecasting model (WRF). The boundary
and initial conditions of WRF were provided by the ERA5 atmospheric reanalysis.
ICAR_assim showed very good agreement with MODIS gap-filled snow products,
with a spatial correlation of R = 0.98 in the snow probability (P(snow)), and a
temporal correlation of R = 0.88 in the day of peak snow water equivalent (SWE).
Similarly, ICAR_assim has shown a correlation with the seasonal mean SWE of R =
0.75 compared with in-situ observations from Automatic Weather Stations (AWS).
The results highlight the high temporal variability of the snowpack in the Lebanon
ranges, with differences between Mount Lebanon and Anti-Lebanon that cannot be
only explained by its hypsography been Anti-Lebanon in the rain shadow of Mount
Lebanon. The maximum fresh water stored in the snowpack is in the middle
elevations approximately between 2200 and 2500 m a.s.l. Thus, the resilience to
further warming is low for the snow water resources of Lebanon due to the
proximity of the snowpack to the zero isotherm.
Program Affiliations
GWF: Global Water Futures
INARCH: International Network of Alpine Research Catchment Hydrology
Project Affiliations
INARCH1: International Network of Alpine Research Catchment Hydrology (Phase 1)
Publication Stage
Published
Additional Information
INARCH
Download Links
https://doi.org/10.5194/hess-2020-335
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