Quality control routines for CloudnetPy products
Project description
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 testqcVersion
:cloudnetpy-qc
versiontests
:Test[]
Test
testId
: Unique name of the testexceptions
:Exception[]
Exception
message
: Free-form message about the exceptionresult
:"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. |
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. |
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. |
TestUnits |
Check that variables have expected units. |
TestVariableNames |
Check that file contains required variables. |
TestVariableNamesDefined |
Check that variables have expected names. |
License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cloudnetpy_qc-1.17.17.tar.gz
(325.1 kB
view hashes)
Built Distribution
Close
Hashes for cloudnetpy_qc-1.17.17-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7f2f7ed021fff86f5f598b22242860c169440b4e08376c39945386bd8cc24788 |
|
MD5 | 763faf7adb86703d7ce064e9dc339cf7 |
|
BLAKE2b-256 | 5f39da9ad3164760f505f3a4b298417b1b9202d19b96eef2ba8e7dde44585548 |