In: Journal of Hydrology and Hydromechanics, vol. 67, no. 1
Gaia Piazzi - Lorenzo Campo - Simone Gabellani - Fabio Castelli - Edoardo Cremonese - Umberto Di Cella - Hervé Stevenin - Sara Ratto
Detaily:
Rok, strany: 2019, 4 - 19
Kľúčové slová:
Snow modeling; Energy-balance model; Data Assimilation; Ensemble Kalman Filter.
URL originálneho zdroja: http://www.ih.sav.sk/jhh
O článku:
The knowledge of snowpack dynamics is of critical importance to several real-time applications especially in
mountain basins, such as agricultural production, water resource management, flood prevention, hydropower generation.
Since simulations are affected by model biases and forcing data uncertainty, an increasing interest focuses on the assimilation
of snow-related observations with the purpose of enhancing predictions on snowpack state. The study aims at investigating
the effectiveness of snow multivariable data assimilation (DA) at an Alpine site. The system consists of a
snow energy-balance model strengthened by a multivariable DA system. An Ensemble Kalman Filter (EnKF) scheme allows
assimilating ground-based and remotely sensed snow observations in order to improve the model simulations. This
research aims to investigate and discuss: (1) the limitations and constraints in implementing a multivariate EnKF scheme
in the framework of snow modelling, and (2) its performance in consistently updating the snowpack state. The performance
of the multivariable DA is shown for the study case of Torgnon station (Aosta Valley, Italy) in the period June
2012 – December 2013. The results of several experiments are discussed with the aim of analyzing system sensitivity to
the DA frequency, the ensemble size, and the impact of assimilating different observations.
Ako citovať:
ISO 690:
Piazzi, G., Campo, L., Gabellani, S., Castelli, F., Cremonese, E., Di Cella, U., Stevenin, H., Ratto, S. 2019. An EnKF-based scheme for snow multivariable data assimilation
at an Alpine site. In Journal of Hydrology and Hydromechanics, vol. 67, no.1, pp. 4-19. 0042-790X (until 2019) . DOI: https://doi.org/10.2478/johh-2018-0013
APA:
Piazzi, G., Campo, L., Gabellani, S., Castelli, F., Cremonese, E., Di Cella, U., Stevenin, H., Ratto, S. (2019). An EnKF-based scheme for snow multivariable data assimilation
at an Alpine site. Journal of Hydrology and Hydromechanics, 67(1), 4-19. 0042-790X (until 2019) . DOI: https://doi.org/10.2478/johh-2018-0013
O vydaní: