Search Results - "Parent, Annie‐Claude"
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Evaporation from boreal reservoirs: A comparison between eddy covariance observations and estimates relying on limited data
Published in Hydrological processes (01-08-2021)“…Hydrological models used for reservoir management typically lack an accurate representation of open‐water evaporation and must be run in a scarce data context…”
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Exploring the spatiotemporal variability of the snow water equivalent in a small boreal forest catchment through observation and modelling
Published in Hydrological processes (30-05-2020)“…In snow‐fed catchments, it is crucial to monitor and model the snow water equivalent (SWE), particularly when simulating the melt water runoff. SWE…”
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Quantifying evapotranspiration of a rainfed potato crop in South-eastern Canada using eddy covariance techniques
Published in Agricultural water management (01-10-2012)“… [Display omitted] ► In the context of climate changing, evapotranspiration (ET) is projected to increase. ► Rainfed potato crop management in South-eastern…”
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Site-Specific Multilevel Modeling of Potato Response to Nitrogen Fertilization
Published in Frontiers in environmental science (01-12-2017)“…Technologies of precision agriculture, digital soil maps and meteorological stations provide a minimum data set to guide precision farming operations. However,…”
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The Effect of Soil on the Summertime Surface Energy Budget of a Humid Subarctic Tundra in Northern Quebec, Canada
Published in Journal of hydrometeorology (01-10-2021)“…Rising temperatures in the southern Arctic region are leading to shrub expansion and permafrost degradation. The objective of this study is to analyze the…”
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An Assessment of Six Dissimilarity Metrics for Climate Analogs
Published in Journal of applied meteorology and climatology (01-04-2013)“…Spatial analog techniques consist in identifying locations whose historical climate is similar to the anticipated future climate at a reference location. In…”
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7
On the energy budget of a low-Arctic snowpack
Published in The cryosphere (13-01-2022)“…Arctic landscapes are covered in snow for at least 6 months of the year. The energy balance of the snow cover plays a key role in these environments,…”
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8
Characterization of temporal variability in near-surface soil moisture at scales from 1 h to 2 weeks
Published in Journal of hydrology (Amsterdam) (30-06-2006)“…This study proposes a characterization of the temporal relations between soil moisture and precipitation at a very short time-scale, i.e. from 1 h to 2 weeks…”
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Neural Network Input Selection for Hydrological Forecasting Affected by Snowmelt1
Published in Journal of the American Water Resources Association (01-06-2008)“…: Snowmelt largely affects runoff in watersheds in Nordic countries. Neural networks (NN) are particularly attractive for streamflow forecasting whereas they…”
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10
Neural Network Input Selection for Hydrological Forecasting Affected by Snowmelt
Published in Journal of the American Water Resources Association (01-06-2008)“…Snowmelt largely affects runoff in watersheds in Nordic countries. Neural networks (NN) are particularly attractive for streamflow forecasting whereas they…”
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Journal Article -
11
Characterization of temporal variability in near-surface soil moisture at scales from 1h to 2 weeks
Published in Journal of hydrology (Amsterdam) (01-06-2006)“…This study proposes a characterization of the temporal relations between soil moisture and precipitation at a very short time-scale, i.e. from 1h to 2 weeks…”
Get full text
Journal Article -
12
The Effect of Soil on the Summertime Surface Energy Budget of a Humid Subarctic Tundra in Northern Quebec, Canada
Published in Journal of hydrometeorology (2021)“…Rising temperatures in the southern Arctic region are leading to shrub expansion and permafrost degradation. The objective of this study is to analyze the…”
Get full text
Journal Article -
13
Neural Network Input Selection for Hydrological Forecasting Affected by Snowmelt 1
Published in Journal of the American Water Resources Association (01-06-2008)“…Snowmelt largely affects runoff in watersheds in Nordic countries. Neural networks (NN) are particularly attractive for streamflow forecasting whereas they…”
Get full text
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