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Hello, I am experiencing some difficulty reading some data sets in grib2 format and I’m hoping someone can point out what I am doing wrong. I have been working with several MRMS grid tables ( https://mrms.ncep.noaa.gov/data/2D/ ) and most of them are working just fine. However, I have run into some trouble with the Model_WetBulbTemp data table where NetCDF-Java seems to be returning spurious data. I have written a function in Kotlin which illustrates the issue, showing the number of unique values in the data set and a subset of the range: fun examineWetBulb() { val wetBulb = NetcdfFile.open("/tmp/MRMS_Model_WetBulbTemp.latest.grib2") val valueSet = mutableSetOf<Float>() val variable = wetBulb.findVariable("ModelWetBulbTemp_altitude_above_msl") val varArray = variable.read() for (x in 0 until variable.dimensions[2].length) { for (y in 0 until variable.dimensions[3].length) { val degC = varArray.getFloat(varArray.index.set(0, 0, x, y)) valueSet.add(degC) } } println(valueSet.size) println(valueSet.filterIndexed { i, _ -> i % 25 == 0 }) } When I execute this function, I see the following output: 256 [-999.0, -997.19, -998.65, -997.73, -997.48, -997.36, -997.13, -998.47, -998.56, -996.51, -998.86] However, if I use an alternate implementation such as PyGRIB, I see values which look more likely to be correct: >>> import pygrib >>> wet_bulb = pygrib.open('/tmp/MRMS_Model_WetBulbTemp.latest.grib2')[1] >>> uniq_vals = sorted(set(wet_bulb.values.flatten())) >>> len(uniq_vals) 5168 >>> uniq_vals[0:-1:500] [-999.0, -20.78, -15.780000000000001, -10.78, -5.78, -0.78, 4.22, 9.22, 14.22, 19.22, 24.22] For what it's worth, when I plot this grib2 file using Panoply, I get a similar result as for the NetCDF-Java case: https://i.imgur.com/xnLtxOD.png I am using Java 8, Kotlin 1.3, and in my pom.xml file I have the following dependency: <dependency> <groupId>edu.ucar</groupId> <artifactId>grib</artifactId> <version>5.2.0</version> </dependency> </dependencies> Has anyone seen this kind of problem before? Thanks, --Jeramey -- Jeramey Crawford Vaisala Digital Vaisala, Inc., Seattle, WA
netcdf-java
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