IOOS QARTOD Tests implemented in Python
Collection of utilities, scripts and tests to assist in automated quality assurance and quality control for oceanographic datasets and observing systems.
Please see our project documentation QARTOD Documentation
Current tests refer to the QARTOD manuals Current tests are taken from the Wind, Water Level, Currents, In-Situ Temperature and Salinity QARTOD Manuals
Currently implemented tests are:
To run tests, import the QARTOD qc module:
from ioos_qartod import qc
Refer to the Sphinx generated documentation for information on how to use the various QARTOD tests. Presently, most of the tests reside within the ioos_qartod.qc_tests.qc module.
Generally, data should be passed as numpy arrays.
Currently, most methods in the QARTOD assume monotonically increasing, time series data with evenly spaced intervals. If there is an irregular or large gap in time between successive data points, the tests as written will not take this into account.