cloudnetpy-qc

CloudnetPy-QC

Software for evaluating quality of ACTRIS-Cloudnet data products.

Installation

$ pip3 install cloudnetpy-qc

Usage

import json
from cloudnetpy_qc import quality
report = quality.run_tests('cloudnet-file.nc')
json_object = json.dumps(report.to_dict(), indent=2)
print(json_object)

Format of the report

• timestamp: UTC timestamp of the test
• qcVersion: cloudnetpy-qc version
• tests: Test[]

Test

• testId: Unique name of the test
• exceptions: Exception[]

Exception

• message: Free-form message about the exception
• result: "info", "error" or "warning"

Example:

{
  "timestamp": "2022-10-13T07:00:26.906815Z",
  "qcVersion": "1.1.2",
  "tests": [
    {
      "testId": "TestUnits",
      "exceptions": []
    },
    {
      "testId": "TestInstrumentPid",
      "exceptions": [
        {
          "message": "Instrument PID is missing.",
          "result": "warning"
        }
      ]
    },
    {
      "testId": "TestTimeVector",
      "exceptions": []
    },
    {
      "testId": "TestVariableNames",
      "exceptions": []
    },
    {
      "testId": "TestCFConvention",
      "exceptions": []
    }
  ]
}

Tests

Test	Description
FindAttributeOutliers	Find suspicious values in global attributes.
FindFolding	Test for radar folding.
FindVariableOutliers	Find suspicious data values.
TestBrightnessTemperature	Test that brightness temperature data are valid.
TestCFConvention	Test compliance with the CF metadata conventions.
TestDataCoverage	Test that file contains enough data.
TestDataTypes	Check that variables have expected data types.
TestFillValue	Test that fill value is explicitly set for variables with missing data.
TestFloatingPointValues	Test for special floating-point values which may indicate problems with the processing.
TestGlobalAttributes	Check that file contains required global attributes.
TestIfRangeCorrected	Test that beta is range corrected.
TestInstrumentPid	Test that valid instrument PID exists.
TestLDR	Test that LDR values are proper.
TestLidarBeta	Test that one beta variable exists.
TestLongNames	Check that variables have expected long names.
TestMWRMultiTemperature	Test that temperature data are valid.
TestMWRSingleLWP	Test that LWP data are valid.
TestMask	Test that data are not completely masked.
TestMedianLwp	Test that LWP data are valid.
TestModelData	Test that model data are valid.
TestStandardNames	Check that variable have expected standard names.
TestTimeVector	Test that time vector is continuous.
TestUnexpectedMask	Test if data contain unexpected masked values.
TestUnits	Check that variables have expected units.
TestVariableNames	Check that file contains required variables.
TestVariableNamesDefined	Check that variables have expected names.

License

MIT