grib_compare

DESCRIPTION

Compare grib messages contained in two files. If some differences are found it fails returning an error code. Floating point values are compared exactly by default, different tolerance can be defined see -P -A -R. Default behaviour: absolute error=0, bit-by-bit compare, same order in files.

USAGE

grib_compare [options] grib_file grib_file

OPTIONS

Compare files in which the messages are not in the same order. This option is time expensive.

All the keys in this list are skipped in the comparison. Bit-by-bit compare on.

Edition independent compare. It is used to compare grib edition 1 and 2.

Only the listed keys or namespaces (:n) are compared. The optional letter after the colon is used to force the type in the comparison: l->integer, d->float, s->string, n->namespace. See -a option. Incompatible with -H option.

First field to be processed.

Last field to be processed.

-c option modifier. The keys listed with the option -c will be added to the list of keys compared without -c.

Compare only message headers. Bit-by-bit compare on. Incompatible with -c option.

Compare floating point values using the relative error as tolerance. key1=relative_error will compare key1 using relative_error1. all=relative_error will compare all the floating point keys using relative_error. Default all=0.

Compare floating point values using the absolute error as tolerance. Default is absolute error=0

Compare data values using the packing error as tolerance.

Compare data values using factor multiplied by the tolerance specified in options -P -R -A.

Where clause. Grib messages are processed only if they match all the key/value constraints. A valid constraint is of type key=value or key!=value. For each key a string (key:s) or a double (key:d) or a long (key:l) type can be specified. Default type is string.

Force. Force the execution not to fail on error.

Version.

Does not fail when the message has wrong length

Verbose.

grib_compare examples

1. The default behaviour for grib_compare without any option is to perform a bit by bit comparison of the two messages. If the messages are found to be bitwise different then grib_compare switches to a "key based" mode to find out which coded keys are different. To see how grib_compare works we first set the shortName=2d (2 metre dew point temperature) in the file regular_latlon_surface.grib1

   > >grib_set -s shortName=2d regular_latlon_surface.grib1 2d.grib1

   Then we can compare the two fields with grib_compare.\verbatim >grib_compare regular_latlon_surface.grib1 2d.grib1-- GRIB #1 -- shortName=2t paramId=167 stepRange=0 levelType=sfc level=0 packingType=grid_simple gridType=regular_ll --long [indicatorOfParameter]: [167] != [168]\endverbatimIn the output we see that the only "coded" key with different values in the two messages is indicatorOfParameter which is therelevant key for the parameter information.The comparison can be forced to be successful listing the keys with different values in the -b option.\verbatim >grib_compare -b indicatorOfParameter regular_latlon_surface.grib1 2d.grib1\endverbatim
2. Two grib messages can be very different because they have different edition, but they can contain the sameidentical information in the header and the same data. To see how grib_compare can help in comparing messages with different edition we do

   > >grib_set edition=2 reduced_gaussian_model_level.grib1 reduced_gaussian_model_level.grib2

   Then we compare the two fields with grib_compare.\verbatim >grib_compare reduced_gaussian_model_level.grib1 reduced_gaussian_model_level.grib2-- GRIB #1 -- shortName=t paramId=130 stepRange=0 levelType=ml level=1 packingType=grid_simple gridType=reduced_gg --long [totalLength]: [10908] != [10996]long [editionNumber]: [1] != [2]long [section1Length]: [52] != [21][table2Version] not found in 2nd field[gridDefinition] not found in 2nd field[indicatorOfParameter] not found in 2nd field[indicatorOfTypeOfLevel] not found in 2nd field[yearOfCentury] not found in 2nd field[unitOfTimeRange] not found in 2nd field[P1] not found in 2nd field[P2] not found in 2nd field[numberIncludedInAverage] not found in 2nd field[numberMissingFromAveragesOrAccumulations] not found in 2nd field[centuryOfReferenceTimeOfData] not found in 2nd field[reservedNeedNotBePresent] not found in 2nd field[perturbationNumber] not found in 2nd field[numberOfForecastsInEnsemble] not found in 2nd field[padding_local1_1] not found in 2nd fieldlong [section2Length]: [896] != [17][pvlLocation] not found in 2nd field[dataRepresentationType] not found in 2nd fieldlong [latitudeOfFirstGridPoint]: [87864] != [87863799]long [latitudeOfLastGridPoint]: [-87864] != [-87863799]long [longitudeOfLastGridPoint]: [357188] != [357187500][padding_grid4_1] not found in 2nd fieldlong [section4Length]: [9948] != [770][dataFlag] not found in 2nd field\endverbatimIt is clear that the two messages are coded in a very different way. If we now add the -e option, the tool will compare only the higher level information common between the two messages.\verbatim >grib_compare -e reduced_gaussian_model_level.grib1 reduced_gaussian_model_level.grib2-- GRIB #1 -- shortName=t paramId=130 stepRange=0 levelType=ml level=1 packingType=grid_simple gridType=reduced_gg --string [param]: [130.128] != [130]\endverbatimThe comparison is successful because the two messages contain the same information coded in two different ways. We can display the list of keys used by grib_compare adding the option -v (verbose).\verbatim >grib_compare -ve reduced_gaussian_model_level.grib1 reduced_gaussian_model_level.grib2reduced_gaussian_model_level.grib2 comparing centre as string comparing paramId as long comparing units as string comparing name as string comparing shortName as string comparing typeOfLevel as string comparing level as long comparing pv as double (184 values) tolerance=0 comparing bitmapPresent as long comparing latitudeOfFirstGridPointInDegrees as double (1 values) tolerance=0.0005 comparing longitudeOfFirstGridPointInDegrees as double (1 values) tolerance=0.0005 comparing latitudeOfLastGridPointInDegrees as double (1 values) tolerance=0.0005 comparing longitudeOfLastGridPointInDegrees as double (1 values) tolerance=0.0005 comparing iDirectionIncrementInDegrees is set to missing in both fields comparing N as long comparing iScansNegatively as long comparing jScansPositively as long comparing jPointsAreConsecutive as long comparing pl as long comparing gridType as string comparing packedValues as double (6114 values) tolerance=0 comparing domain as string comparing levtype as string comparing levelist as long comparing date as long comparing time as long comparing step as long comparing param as string-- GRIB #1 -- shortName=t paramId=130 stepRange=0 levelType=ml level=1 packingType=grid_simple gridType=reduced_gg --string [param]: [130.128] != [130] comparing class as long comparing type as string comparing stream as long comparing expver as string\endverbatimFor each key the type used in the comparison is reported and for the floating point keys also the tolerance usedis printed.
3. Some options are provided to compare only a set of keys in the messages. The option -H is used to compare only the headers coded in the message, it doesn't compare the data values. The option "-c key1:[l/d/s/n],key2:[l/d/s/n],... " can be used to compare a set of keys or namespaces. The letter after the colon is optional and it is used to force thetype used in the comparison which is otherwise assumed to be the native type of the key. The possible types are: - :l -> integer (C type long) - :d -> floating point (C type double) - :s -> string - :n -> namespace. .When the type "n" is used all the set of keys belonging to the specified namespaceare compared assuming their own native type.To illustrate how these options work we change the values coded in a message using grib_filter with the following rules file (see \ref grib_filter).

   >set bitsPerValue=10;set values={1,2.5,3,4,5,6,70};write "first.grib1";set values={1,2.5,5,4,5,6,70};write "second.grib1";

   We first compare the two files using the -H option (only headers are compared).\verbatim >grib_compare -H first.grib1 second.grib1\endverbatimThe comparison is successful because the data are not compared.To compare only the data we have to compare the "data namespace".\verbatim >grib_compare -c data:n first.grib1 second.grib1-- GRIB #1 -- shortName=t paramId=130 stepRange=0 levelType=ml level=1 packingType=grid_simple gridType=reduced_gg --double [packedValues]: 1 out of 7 different max absolute diff. = 2.0000000000000000e+00, relative diff. = 0.4 max diff. element 2: 3.00000000000000000000e+00 5.00000000000000000000e+00 tolerance=0.0000000000000000e+00 packingError: [0.0625005] [0.0625005] values max= [70] [70] min= [1] [1]\endverbatimThe comparison is showing that one of seven values is different in a comparison with the (default) absolute tolerance=0. We can change the tolerance with the -A option:\verbatim >grib_compare -A 2 -c data:n first.grib1 second.grib1\endverbatimand we see that the comparison is successful if the absolute tolerance is set to 2. We can also set the relative tolerance for each key with the option -R:\verbatim >grib_compare -R packedValues=0.4 -c data:n first.grib1 second.grib1\endverbatimand we get again a successful comparison because the relative tolerance is bigger than therelative absolute difference of two corresponding values.Another possible choice for the tolerance is to be equal to the packingError,which is the error due to the packing algorithm. If we change the decimalPrecision of a packed field we introduce a packing error sometimes bigger than the originalpacking error.\verbatim >grib_set -s changeDecimalPrecision=0 first.grib1 third.grib1\endverbatimand we compare the two fields using the -P option (tolerance=packingError).\verbatim >grib_compare -P -c data:n first.grib1 third.grib1\endverbatimthe comparison is successful because their difference is within the biggest ofthe two packing error. With the option -P the comparison is failing only if the original data coded are different, not if the packing precision ischanged. If we try again to compare the fields without the -P option:\verbatim >grib_compare -c data:n first.grib1 third.grib1-- GRIB #1 -- shortName=t paramId=130 stepRange=0 levelType=ml level=1 packingType=grid_simple gridType=reduced_gg --double [packedValues]: 1 out of 7 different max absolute diff. = 5.0000000000000000e-01, relative diff. = 0.166667 max diff. element 1: 2.50000000000000000000e+00 3.00000000000000000000e+00 tolerance=0.0000000000000000e+00 packingError: [0.0625005] [0.5] values max= [70] [70] min= [1] [1]\endverbatimwe see that some values are different and that the maximum absolute differencis close to the biggest packing error (max diff=0.48 packingError=0.5).The packing error was chosen to be 0.5 by setting decimalPrecision to 0 whichmeans that we don't need to preserve any decimal figure.
4. When we already know that the fields are not numerically identical, but havesimilar statistical characteristics we can compare their statistics namespaces:

   > >grib_compare -c statistics:n first.grib1 third.grib1-- GRIB #1 -- shortName=t paramId=130 stepRange=0 levelType=ml level=1 packingType=grid_simple gridType=reduced_gg --double [avg]: [1.30714285714285711748e+01] != [1.31428571428571423496e+01]	absolute diff. = 0.0714286, relative diff. = 0.00543478	tolerance=0double [sd]: [2.32907531796090587761e+01] != [2.32589679873534969090e+01]	absolute diff. = 0.0317852, relative diff. = 0.00136471	tolerance=0double [skew]: [2.02295027950165895447e+00] != [2.02385673400705590197e+00]	absolute diff. = 0.000906455, relative diff. = 0.000447885	tolerance=0double [kurt]: [2.12697527593972246507e+00] != [2.12906658242618895827e+00]	absolute diff. = 0.00209131, relative diff. = 0.000982264	tolerance=0

   and we see that maximum, minimum, average, standard deviation, skewness and kurtosis are compared.While the values are different by 0.48 the statistics comparison shows that the difference inthe statistical values is never bigger than 0.052\verbatim >grib_compare -A 0.052 -c statistics:n first.grib1 third.grib1-- GRIB #1 -- shortName=t paramId=130 stepRange=0 levelType=ml level=1 packingType=grid_simple gridType=reduced_gg --double [avg]: [1.30714285714285711748e+01] != [1.31428571428571423496e+01] absolute diff. = 0.0714286, relative diff. = 0.00543478 tolerance=0.052\endverbatimThe statistics namespace is available also for spherical harmonics data and providesinformation about the field in the geographic space computing them in the spectral space for performance reasons.
5. When a file contains several fields and some keys are different, it is useful to have a summaryreport of the keys found different in the messages. This can be obtained with the option -f.We change few keys in a file:

   > >grib_set -w typeOfLevel=surface -s step=48 tigge_pf_ecmwf.grib2 out.grib2

   and comparing with the -f option:\verbatim >grib_compare -f tigge_pf_ecmwf.grib2 out.grib2-- GRIB #9 -- shortName=skt paramId=235 stepRange=96 levelType=sfc level=0 packingType=grid_simple gridType=regular_ll --long [forecastTime]: [96] != [48]-- GRIB #10 -- shortName=sd paramId=228141 stepRange=96 levelType=sfc level=0 packingType=grid_simple gridType=regular_ll --long [forecastTime]: [96] != [48]-- GRIB #11 -- shortName=sf paramId=228144 stepRange=0-96 levelType=sfc level=0 packingType=grid_simple gridType=regular_ll --long [dayOfEndOfOverallTimeInterval]: [26] != [24]long [lengthOfTimeRange]: [96] != [48]... output deleted ## ERRORS SUMMARY ########### Summary of different key values ## forecastTime ( 3 different )## dayOfEndOfOverallTimeInterval ( 11 different )## lengthOfTimeRange ( 11 different )#### 14 different messages out of 38\endverbatimwe get a list of all the different messages in the files and a summary reportof the different keys.
6. We can change the order of the messages in a file using grib_copy with the-B option:

   > >grib_copy -B typeOfLevel tigge_pf_ecmwf.grib2 out.grib2

   If we now compare the two files:\verbatim >grib_compare -f tigge_pf_ecmwf.grib2 out.grib2-- GRIB #1 -- shortName=10u paramId=165 stepRange=96 levelType=sfc level=10 packingType=grid_simple gridType=regular_ll --long [discipline]: [0] != [2]long [totalLength]: [1555] != [990]long [parameterCategory]: [2] != [0]long [parameterNumber]: [2] != [22]long [scaledValueOfFirstFixedSurface]: [10] != [0]long [typeOfSecondFixedSurface]: [255] != [106]scaleFactorOfSecondFixedSurface is set to missing in 1st field is not missing in 2nd fieldscaledValueOfSecondFixedSurface is set to missing in 1st field is not missing in 2nd fieldlong [numberOfValues]: [684] != [239]double [referenceValue]: [-1.57229328155517578125e+01] != [4.15843811035156250000e+01] absolute diff. = 57.3073, relative diff. = 1.3781 tolerance=3.8147e-06long [binaryScaleFactor]: [-10] != [-15]long [bitsPerValue]: [16] != [24]long [section6Length]: [6] != [92]long [bitMapIndicator]: [255] != [0]long [section7Length]: [1373] != [722]Different size for "codedValues" [684] [239]... very long output \endverbatimthe comparison is failing because of the different order of the messages. We can use the -r option to compare the files assuming that the messages are not in thesame order:\verbatim >grib_compare -r tigge_pf_ecmwf.grib2 out.grib2\endverbatimand we have a successful comparison because for each message in the first file an identical message is found in the second file. This option should be used carefully as it isvery time expensive.