Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Amélie Boucher"'
Autor:
Terra Léger-Goodes, Catherine Malboeuf-Hurtubise, Karen Hurtubise, Kyra Simons, Amélie Boucher, Pier-Olivier Paradis, Catherine M Herba, Chantal Camden, Mélissa Généreux
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0284774 (2023)
The climate crisis not only has significant impacts on biodiversity and the physical health of humans, but its ramifications are also affecting people's mental health. Eco-anxiety, or the emotions that emerge with the awareness of climate change and
Externí odkaz:
https://doaj.org/article/ed12ee41bfc1433d95bb19dbc196e054
Autor:
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, Massimiliano Zappa
Publikováno v:
Hydrology and Earth System Sciences, 27 (9)
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety ofpredictions from dynamical, physics-based models - such as numerical weather prediction, climate, land, h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccb2284832e8b329ecde25af75f308a0
https://doi.org/10.5194/hess-27-1865-2023
https://doi.org/10.5194/hess-27-1865-2023
Accurate estimation of percolation is crucial for assessing landfill final cover effectiveness, designing leachate collection/treatment systems, and many other applications, such as in agriculture. Despite the importance, percolation is seldom measur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c925a4cd4d0b859b35d989c43cab26b
https://doi.org/10.22541/au.168530442.27895846/v1
https://doi.org/10.22541/au.168530442.27895846/v1
Autor:
Vincent Fortin, Silvia Innocenti, Étienne Gaborit, Dorothy Durnford, Setigui Keita, Jacob Bruxer, Marie-Amélie Boucher, Shaun Harrigan, Ervin Zsoter, Milena Dimitrijevic, Caroline Sévigny, Nicole O'Brien, Natalie Gervasi
Environment and Climate Change Canada (ECCC) is in the process of deploying a continental-scale hydrological prediction system known as the National Surface and River Prediction System (NSRPS). Operating at a resolution of 30 arc seconds, NSRPS curre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9da9b67266eeaba0b4ff68d2d41c51c8
https://doi.org/10.5194/egusphere-egu23-2950
https://doi.org/10.5194/egusphere-egu23-2950
Publikováno v:
Hydrology and Earth System Sciences. 26:1001-1017
Forecast uncertainties are unfortunately inevitable when conducting a deterministic analysis of a dynamical system. The cascade of uncertainty originates from different components of the forecasting chain, such as the chaotic nature of the atmosphere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58fb3fc27dcadfb5398febbf8dbf134c
https://doi.org/10.5194/hess-26-1001-2022
https://doi.org/10.5194/hess-26-1001-2022
The present study focuses on quantifying the impact of the choice of spatio-temporal resolution and hydrology models on the projection of extreme flow and their link to the catchment size. We use two process-based distributed hydrology models forced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::feba9c4f0fcf725858e850d3ad8d5c6c
https://doi.org/10.22541/essoar.167065604.41308102/v1
https://doi.org/10.22541/essoar.167065604.41308102/v1
Autor:
Nicolas Fontaine, Marie-Amélie Boucher, Jean Odry, Simon Lachance-Cloutier, Vincent Fortin, François Anctil, Richard Turcotte
In recent years, the number of large-scale hydrological forecasting systems has been steadily growing. This may lead to regions having numerous models spatially overlapping each other. Some of these regions have what we will refer to as a regional, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64ea73a85019506aee6b66120b0ac1ed
https://doi.org/10.5194/iahs2022-440
https://doi.org/10.5194/iahs2022-440
Autor:
Jean Odry, Marie-Amélie Boucher, Simon Lachance-Cloutier, Richard Turcotte, Pierre-Yves St-Louis
Particle filtering is interesting for snow data assimilation because of its minimal assumptions. However, implementing a particle filter over a large spatial domain is challenging for many reasons. For instance, the number of required particles rises
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f7b98f1616907b9626fe174416b2cc
https://doi.org/10.5194/iahs2022-122
https://doi.org/10.5194/iahs2022-122
Real time operational flood forecasting most often concentrates on issuing streamflow predictions at specific points along the rivers of a watershed. Those points often coincide with gauging stations, and the forecasts can eventually be compared with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78b68585af14709041568af837264243
https://hess.copernicus.org/preprints/hess-2022-305/
https://hess.copernicus.org/preprints/hess-2022-305/