COST ES1206 Sub-Working Group "Data Homogenisation": 2nd Workshop – Warsaw, Poland

Deriving Error Metrics for the Homogenization of Integrated Water Vapour (IWV) Time Series: The Case of the Synthetic Benchmark Datasets

24 Jan 2017, 09:00

30m

Military University of Technology, Warsaw, Poland

Oral Presentation Results based on the 'EASY' synthetic dataset Results from the Synthetic Datasets

Speaker

Dr Eric Pottiaux (Royal Observatory of Belgium (ROB))

Description

In the same spirit as in the Venema et al. (2012) paper, we derived statistical scores (true positive, true negative, false positive, false negative) and probability scores (probability of true detection probability of false detection...) for each synthetic dataset type, and each sub-working group member contribution (i.e. results from running their homogenization tool on the synthetic datasets received). In this presentation, we summarize the results obtained with these metrics, focusing mainly on the sensitivity of these scores for each homogenization tool w.r.t. to the complexity of the synthetic dataset (Easy, Less and Fully complicated).