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Data Quality Control of in-situ observations. TITAN has been tested or it is currently under test for: temperature (--variable T , default value), total precipitation (--variable RR) and relative humidity (--variable RH).

Several tests are applied sequentially to detect those observations that are most likely affected by: gross measurement errors, large systematic errors and large representativeness errors.

• An observation affected by gross measurement error does not contain any information on the true atmospheric state.
• An observation affected by large systematic error contains inaccurate information about the true atmospheric state, such that it cannot be trusted as a correct observation.
• An observation is said to have a large representativeness error if its value cannot be accurately predicted by using the neighbouring observations. The observation is significantly influenced by local atmospheric conditions, where local meant having spatial scales smaller than the average distance between the observation and its neighbours.

Each test gets its own data quality code that is assigned to those observations considered as suspect ones by the test. The strategy we follow is to provide the observations into several files, each of them containing observations from a different provider. The test parameters are then specified for each observation provider.

Command line

$>./titan.R input_file output_file [options]

The detailed description of the input/output is reported here