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Akademický článek

Cross-Country Assessment of H-SAF Snow Products by Sentinel-2 Imagery Validated against In-Situ Observations and Webcam Photography

Autor: Gaia Piazzi, Cemal Melih Tanis, Semih Kuter, Burak Simsek, Silvia Puca, Alexander Toniazzo, Matias Takala, Zuhal Akyürek, Simone Gabellani, Ali Nadir Arslan

Publikováno v: Geosciences, Vol 9, Iss 3, p 129 (2019)

Information on snow properties is of critical relevance for a wide range of scientific studies and operational applications, mainly for hydrological purposes. However, the ground-based monitoring of snow dynamics is a challenging task, especially ove

Externí odkaz: https://doaj.org/article/d26a3b5ed45141e7ad98926150c1fada

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New airGR developments: semi-distribution and data assimilation

Autor: David Dorchies, Gaia Piazzi, Guillaume Thirel, Olivier Delaigue

Publikováno v: EGU General Assembly 2021-vEGU21: Gather
EGU General Assembly 2021-vEGU21: Gather Online, Apr 2021, Göttingen, Germany. pp.EGU21-1371, ⟨10.5194/egusphere-egu21-1371⟩

airGR (Coron et al., 2017, 2020) is an R package that offers the possibility to use the GR rainfall-runoff models developed in the Hydrology Research Group at INRAE (formerly at Irstea). It allows running seven hydrological models (including GR4J) de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c98ee6c7049cf67fb5c6efc642460c7
https://doi.org/10.5194/egusphere-egu21-1371

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Assessing sensitivity and persistence of updated initial conditions through Particle filter and EnKF for streamflow forecasting

Autor: Charles Perrin, Guillaume Thirel, Gaia Piazzi

Publikováno v: EGU General Assembly 2020
EGU General Assembly 2020, May 2020, Vienna, Austria. ⟨10.5194/egusphere-egu2020-18694⟩

Skillful streamflow forecasts provide a key support to several water-related applications. Ensemble forecasting systems are gaining a widespread interest, since they allow accounting for different sources of uncertainty. Because of the critical impac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48d995c33f20047133af9edadc16063b
https://doi.org/10.5194/egusphere-egu2020-18694

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A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment

Autor: Simone Gabellani, Lorenzo Campo, Gaia Piazzi, Guillaume Thirel

Publikováno v: The Cryosphere, Vol 12, Pp 2287-2306 (2018)

The accuracy of hydrological predictions in snow-dominated regions deeply depends on the quality of the snowpack simulations, with dynamics that strongly affect the local hydrological regime, especially during the melting period. With the aim of redu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f288fa53dec9228a885c6320377da761
https://www.the-cryosphere.net/12/2287/2018/tc-12-2287-2018.pdf

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Cross-Country Assessment of H-SAF Snow Products by Sentinel-2 Imagery Validated against In-Situ Observations and Webcam Photography

Autor: Simone Gabellani, Ali Nadir Arslan, Burak Simsek, Alexander Toniazzo, Semih Kuter, Zuhal Akyürek, Cemal Melih Tanis, Gaia Piazzi, Silvia Puca, Matias Takala

Publikováno v: Geosciences, Vol 9, Iss 3, p 129 (2019)
Geosciences
Volume 9
Issue 3
Géosciences
Géosciences, BRGM, 2019, 9 (3), pp.129. ⟨10.3390/geosciences9030129⟩

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f63f4c306f70a481fd3933d4f30a2c09
http://www.mdpi.com/2076-3263/9/3/129

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An Enkf-Based Scheme for Snow Multivariable Data Assimilation at an Alpine Site

Autor: Fabio Castelli, Umberto Morra di Cella, Sara Ratto, Gaia Piazzi, Lorenzo Campo, Edoardo Cremonese, Simone Gabellani, Hervé Stevenin

Publikováno v: Journal of Hydrology and Hydromechanics, Vol 67, Iss 1, Pp 4-19 (2019)

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 a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::129bf7be8e5c7bf35ad686964a1e39c0
http://hdl.handle.net/2158/1143811

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