<p>The mean connectivity variations coefficients are calculated according to the PLD factor (<i>i.e.</i>, considering 15, 20, 25 and 30 days), by dividing the connectivity standard deviation calculated according to the PLD factor by the average. The matrix (a) is used to represent the spatial variability of CV, during mean wind conditions (average of the 12 wind scenarios). The graph (b) represents the CV variability according to wind direction. In the latter case, the error bars represent the spatial standard deviation. The numbers on graph (b) correspond to the wind regime indices (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0095050#pone-0095050-t004" target="_blank">Table 4</a>).</p
The eddy covariance technique is recognised to be the most adapted micrometeorological method to st...
GEP is more stable over time in out of phase scenario’s and within the variability scenarios more st...
Randomly selected periods of COADS archive wind data in U.S. Mid-Atlantic 2° square summary areas ar...
<p>(a) Matrix of the connectivity variation and (b) relation between the potential connectivity and ...
<p>(a) Monthly probability of occurrence (in %) of each wind regime and (b) cumulated realistic conn...
When working with large, multidimensional and multivariate data, science users are frequently intere...
When working with large, multidimensional and multivariate data, science users are frequently intere...
<p>Red and blue color indicates high and low dispersion of that connection across participants, resp...
Wind by its very nature is a variable element. Its variation is different on different timescales an...
<p>The maps show daily segments. Colours indicate the extent of wind support: green = tailwind (>2...
This study employs statistical techniques to evaluate climate model performance in wind speed and di...
<p>Plots in the left column are for the dry season and on the right for the wet season. The top row ...
<p>This potential connectivity is an average of the 12 wind regimes scenarios. The potential connect...
<p>The mean and standard variations of the R (percentage of identified edges for within each ROI) va...
AbstractThis paper introduces a methodology for the characterization of time-scale-dependent variabi...
The eddy covariance technique is recognised to be the most adapted micrometeorological method to st...
GEP is more stable over time in out of phase scenario’s and within the variability scenarios more st...
Randomly selected periods of COADS archive wind data in U.S. Mid-Atlantic 2° square summary areas ar...
<p>(a) Matrix of the connectivity variation and (b) relation between the potential connectivity and ...
<p>(a) Monthly probability of occurrence (in %) of each wind regime and (b) cumulated realistic conn...
When working with large, multidimensional and multivariate data, science users are frequently intere...
When working with large, multidimensional and multivariate data, science users are frequently intere...
<p>Red and blue color indicates high and low dispersion of that connection across participants, resp...
Wind by its very nature is a variable element. Its variation is different on different timescales an...
<p>The maps show daily segments. Colours indicate the extent of wind support: green = tailwind (>2...
This study employs statistical techniques to evaluate climate model performance in wind speed and di...
<p>Plots in the left column are for the dry season and on the right for the wet season. The top row ...
<p>This potential connectivity is an average of the 12 wind regimes scenarios. The potential connect...
<p>The mean and standard variations of the R (percentage of identified edges for within each ROI) va...
AbstractThis paper introduces a methodology for the characterization of time-scale-dependent variabi...
The eddy covariance technique is recognised to be the most adapted micrometeorological method to st...
GEP is more stable over time in out of phase scenario’s and within the variability scenarios more st...
Randomly selected periods of COADS archive wind data in U.S. Mid-Atlantic 2° square summary areas ar...