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Home > Research > Ifsdocs > WAVES >  
   


IFS Documentation front page


Table of contents

Chapter 1. Introduction

Chapter 2. The kinematic part of the energy balance equation

Chapter 3. Parametrization of source terms and the energy balance in a growing wind sea

Chapter 4. An optimal interpolation scheme for assimilating altimeter data into the WAM model

Chapter 5 Numerical scheme

Chapter 6 The WAM-model software

Chapter 7 Wind-wave interaction at ECMWF

REFERENCES
 
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6.6 ECMWF Post-Processing




Although, the ECMWF version of WAM is basically following the same structure as the original version, there are also important differences to be noted. In particular, our version takes full advantage of grib coding and decoding both for the integrated parameters and the two dimensional spectrum. The advantages of grib coding are that the fields are archived in a platform independent form and that the size of the fields reduces by a considerable factor. For example the size of an integrated parameter field reduces by a factor of 3, while the size of a spectral fields reduces by a factor of 9. The large reduction in the size of spectral fields is accomplished by archiving the logarithm of the spectrum, thereby reducing the range of the values considerably. Furthermore, rather than archiving one spectrum per grid point, which would result in spectral fields of a large size, ECMWF archives a particular frequency-direction bin as one global field. Thus, the global spectral field is splitted up in fields, where is the number of frequencies and is the number of directions of the spectrum.


Table 6.1 Archived parameters of the ECMWF wave forecasting system.
Code
figure
MARS
abbreviation
Field
Units
221
MP1
Mean wave period from 1st moment
s
221
MP2
Mean wave period from 2nd moment
s
222
WDW
Wave spectral directional width
-




223
P1WW
Mean wave period from 1st moment of wind waves
s
224
P2WW
Mean wave period from 2nd moment of wind waves
s
225
DWWW
Wave spectral directional width of wind waves
-




226
P1PS
Mean wave period from 1st moment of swell
s
227
P2PS
Mean wave period from 2nd moment of swell
s
228
DWPS
Wave spectral directional width of swell
-




229
SWH
Significan wave height
m
230
MWD
Mean wave direction
º
231
PP1D
Peak period of 1d spectra
s
232
MWP
Mean wave period
s
233
CDWW
Coefficient of drag with waves
-




234
SHWW
Significant heightof wind waves
m
235
MDWW
Mean direction of wind waves
º
236
MPWW
Mean period of wind waves
s




237
SHPS
Significant height of swell
m
238
MDPS
Mean direction of swell
º
239
MPPS
Mean period of swell
s




244
MSQS
Mean square slope
-
245
WIND
10 m wind speed modified by wave model
m/s




246
AWH
Gridded altimeter wave height
m
247
ACWH
Gridded corrected altimeter wave height
m
248
ARRC
Gridded altimeter range relative correction
m




251
2DFD
2-D wave spectra
m2s/rad



Because IO is relatively slow it is advantageous to minimise the amount of IO. This is accomplished at initial time by transferring grib coded information from disk to one of the PE's and by transfering the initial data to one of the other PE's where it is decoded. Next the decoded data is is distributed over all the other PE's. Since spectral data have been splitted up, the reading of the initial conditions may be performed in a balanced manner. To that end the spectral file is read on PE 1, who distributes the fields per frequency and direction to all other PE's where it is decoded. Writing output is accomplished in a balanced manner by collecting on the first PE the data for the first field from all other PE's, by coding it and by transfering it to disk, while at the same time the second PE is doing the same task for the second field etc.


Finally, the information written to disk is temporarily stored in a sophisticated Fields Data Base (FDB), where it is picked up by archiving tasks that store the information in the MARS archive. The full list of products that is being archived is given in Table 6.1. Post-processing may now be accomplished in various manners. One way is by running programs that read and plot analysed and forecast wave parameters. A more popular method nowadays is to do post-processing in interactive mode using METVIEW.





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