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Prior to the 2015 NCK days icebreaker, organizes a hands-on sprint session to explain how to access and visualize some great open access core-description and grain size datasets of the Dutch coast:

i)                 Sediment Atlas WaddenZee (RWS): 7500(!) distribution curves in Marsdiep-EmsDollard

ii)                TNO 13.000(!) core descriptions for the Dutch continental shelf via NODC/SeaDataNet (and much, much more data available via

iii)               TNO interpolated dz10, dz50, dz90 maps with 200m resolution for Dutch Continental Shelf

iv)               Along the Dutch beaches, grain sizes for dune safety assessment (RWS)

During this sprint session you’ll learn how to work with these free data in Matlab and/or python. Bring your own laptop to work with the data, and take home your data products and visualizations.

Time:             March 18th, 13:30-17:00  (max 10 participants, sponsored by NCK)

Location: (where icebreaker starts at 18:30)

Registration: Gerben J. de Boer (Van Oord) ism TNO, Deltares, TUD

Flyer:            NCK days 2015 sprintsession north sea grain sizes.pdf





Course information:

Access information for the data can be found at Dataset documentation.

You can download netCDF files (to prevent wifi overload) with BITSadmin. An example is for the TNO gain size maps is:

set from=
set into=d:\opendap\tno\
bitsadmin /transfer Job001 /download /priority normal
bitsadmin /transfer Job001 /download /priority normal
bitsadmin /transfer Job001 /download /priority normal
bitsadmin /transfer Job001 /download /priority normal
bitsadmin /transfer Job001 /download /priority normal

You can access subsets these files with the Matlab netCDF package called ncread and with the python package netcdf4-python, see our Matlab example and

python example.

TNO grain size maps

A Matlab simple example how to make a publication quality figure is given here

%% laod openearthtools for handy tools such as nc2struct, pcolorcorcen, colorbarwithvtext, tickmap, axislat, findfont
%% load data (local cache), D contains data, M contains all metadata
[D,M] = nc2struct('')

%% load data (via opendap)
L = nc2struct('')

%% plot
colorbarwithvtext([M.mud.long_name,'[',M.mud.units,']']) % add text inside colorbar to maximize use of paper space. automatically use metdata from netCDF file
tickmap('ll') % add lat/lon as last tickmarks, no need for space, that dilute efficient use of paper space (google: Edward Tufte)
grid on
axislat % fix aspect ratio
title({M.nc_global.institution,'NCP map mud [version jul 2007]'}) % automatically use metdata from netCDF file as title


We used this image as Fig. 8 in our 2011 paper Mechanisms controlling the intra-annual mesoscale variability of SST and SPM in the southern North Sea.

Sedimentatlas waddensea

A second Matlab example is a dataset used for Fig 9 in our 2008 paper Modeling large-scale cohesive sediment transport affected by small-scale biological activity. Here's an exmaple how to work with these data, find more script in


%% load data
 F          = '';
 D.lon      = ncread(F,'lon');      = ncread(F,'lat');
 D.cumphi   = ncread(F,'cumphi');
 D.diameter = ncread(F,'diameter');
[D.x,D.y]   = convertCoordinates(D.lon,,'CS1.code',4326,'CS2.code',28992);% wgs84 to RD
fraction = 10; % fraction to work with

%% add coastal data
L = nc2struct('')
[L.x,L.y]   = convertCoordinates(L.lon,,'CS1.code',4326,'CS2.code',28992);% wgs84 to RD

%% plot data
caxis            ([0 100])
scatter          (D.x,D.y,20,D.cumphi(fraction,:),'.')
colorbarwithvtext(['D < ',num2str(D.diameter(fraction)),' \mum [%]'])
axis equal
grid on
tickmap          ('xy')
hold on
box on

%% plot in Google Earth 
 KMLscatter( ,D.lon ,D.cumphi(10,:),'fileName',['sedimentatlas_waddenzee.kml'],...
    'CBcolorTitle',['D < ',num2str(D.diameter(fraction)),' \mum [%]'],...








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