The following files and contents contained within this archive are described below:
-------------------------------------------
trainingData.mat
-------------------------------------------
This file contains MATLAB tables with data from the regional model of King et al. (2019)
used to train the k-Nearest Neighbour classifiers.
Tclass = data for training the dominance class of King et al. (2019).
Tmagnitude = data for training the order of magnitude. Magnitudes are specified as log_10(Magnitude in m^3/m/tide-cycle).
-------------------------------------------
trainedClassifiers.mat
-------------------------------------------
This file contains the trained k-Nearest Neighbour classifiers used to predict dominance
class and magnitude.
trainedClassifier = trained kNN classifier for dominance class.
magnitudeClassifier = trained kNN classifier for magnitude.
-------------------------------------------
northwestShelfWaves.mat
-------------------------------------------
This file contains wave data used to fit the copula joint-probability distributions. It also contains
calculated Hs and Tp for 1% and 50% joint probability exceedances specified on the AMM7 grid.
Hs1 = Significant wave height for 1% exceedance waves on AMM7 grid in metres.
Hs50 = Significant wave height for 50% exceedance waves on AMM7 grid in metres.
Tp1 = Peak wave period for 1% exceedance waves on AMM7 grid in seconds.
Tp50 = Peak wave period for 50% exceedance waves on AMM7 grid in seconds.
AMM7lonG, AMM7latG, AMM7zG = longitude, latitude and depth of AMM7 grid.
Hs1year = Significant wave height over 1 year on the Northwest European Shelf.
Tp1year = Peak wave period over 1 year on the Northwest European Shelf.
copulaParam1Year = fitted Gumbel copula parameter alpha obtained from fitting to Hs1year
and Tp1year.
wavelon, wavelat = longitude and latitude for wave 1 year data.
-------------------------------------------
northwestShelfTides.mat
-------------------------------------------
This file contains tide data (maximum current speed, tide range) across the Northwest European Shelf for
springs and neaps.
currentMagSpr = max current speed in m/s at springs.
currentMagNeap = max current speed in m/s at neaps.
tiderangeSpr = tiderange at springs in metres.
tiderangeNeap = tiderange at neaps in metres.
tiderange1year = 1 year of tide range data across the shelf in metres specified for each tidal cycle.
fittedPDFtiderange = Fitted probability distribution function to the year of tide range data for each
node on the shelf.
-------------------------------------------
northwestShelfPredictors.mat
-------------------------------------------
This file contains MATLAB tables with the collated predictors used to predict class and magnitude under
different conditions.
Tnw1s = Table for 1% exceedance waves at springs.
Tnw1n = Table for 1% exceedance waves at neaps.
Tnw50s = Table for 50% exceedance waves at springs.
Tnw50n = Table for 50% exceedance waves at neaps.
-------------------------------------------
northwestShelfPredictedClassMag.mat
-------------------------------------------
This file contains predicted dominance classes and magnitudes from the kNN classifiers and the predictor tables.
Numbers in the classes refer to indexes in the following cell array of classes:
labels = {'T','T(w)','T(n)','N(t)',...
'N','N(w)','W(n)',...
'W(t)','W',...
'Mix'};
class1s = Dominance classification as a number for 1% exceedance waves at springs.
class1n = Dominance classification as a number for 1% exceedance waves at neaps.
class50s = Dominance classification as a number for 50% exceedance waves at springs.
class50n = Dominance classification as a number for 50% exceedance waves at neaps.
magnitude1s = Net sand transport magnitude for 1% exceedance waves at springs.
magnitude1n = Net sand transport magnitude for 1% exceedance waves at neaps.
magnitude50s = Net sand transport magnitude for 50% exceedance waves at springs.
magnitude50n = Net sand transport magnitude for 50% exceedance waves at neaps.
-------------------------------------------
northwestShelfClassMag1year.mat
-------------------------------------------
This file contains predictor data in a table for 1 year of randomly genderated conditions for the
Northwest European Shelf, the predicted classes and magnitudes reshaped to show data for each node,
and the summed magnitudes and weighted average dominance classifications. Year-long data are specified
per tidal cycle.
T1y = Table of predictors over one year. Land and areas below 140m depth have been removed and all data are
grouped together.
inan = array of no data locations showing where land and deep areas have been removed.
class1year = predicted dominance class for 1 year.
class1yearNum = predicted dominance class as a number for 1 year.
magnitude1year = predicted magnitude over 1 year.
class1yearWeighted = weighted dominance classification over 1 year, weighted by magnitude.
magnitude1yearTotal = summed magnitude over 1 year in m^3/year.
-------------------------------------------
northwestShelfAreas.mat
-------------------------------------------
This file contains logical arrays indicating which nodes are within different shelf areas.
idukecoast = the UK East Coast.
idceltic = the Celtic Sea.
iddogger = Dogger Bank.
iddedkshelf = German-Denmark Shelf.
idirish = Irish Sea.
idnoshelf = Norway Shelf.
idnlshelf = Netherlands Shelf.
-------------------------------------------
sandwaveComparisons.mat
-------------------------------------------
This file contains data used to predict dominance class and magnitude for 1% exceedance waves at springs
for the locations of sandwave data from Damen et al. (2018).
predictorTable = table of predictor data at the sandwave locations.
classPred = dominance classification predictions.
magnitudePred = magnitude predictions.
classSandwaves = classification predictions at sandwave locations.
magnitudeSandwaves = magnitude predictions at sandwave locations.
sandwaveDataPerClass = cell array with sandwave height, length, frequency and asymmetry (columns) for
each class (rows) as N, N(w), W(n), W from top to bottom.
KStestP = KS-test p-values for difference between classes.
-------------------------------------------
References
-------------------------------------------
Damen, J. M., van Dijk, T. A. G. P., & Hulscher, S. J. M. H. (2018). Spatially Varying Environmental Properties Controlling Observed Sand Wave Morphology. Journal of Geophysical Research: Earth Surface, 123(2), 262–280.
https://doi.org/10.1002/2017JF004322
King, E. V., Conley, D. C., Masselink, G., Leonardi, N., McCarroll, R. J., & Scott, T. (2019). The impact of waves and tides on residual sand transport on a sediment‐poor, energetic, and macrotidal continental shelf. Journal of Geophysical Research: Oceans, 124, 4974 – 5002.
https://doi.org/10.1029/2018JC014861
-------------------------------------------
Contact
-------------------------------------------
Please direct any queries to Erin King at erin.king@sepa.org.uk