OUTLIER DETECTION IN GRIDDED SHIP'S DATASETS

Pascal Terray (1)

1 LODYC - Laboratoire d'océanographie dynamique et de climatologie

we discuss robust statistical methods to detect « local errors » in gridded ship’s datasets. More precisely, we attack the problem of outlying areal averages in gridded ship's datasets such as Comprehensive Ocean-Atmosphere Data Set (COADS; Woodruff et al. 1987) 2° lat × 2° long monthly summaries and how to test the statistical significance of them. Since the majority of climate researchers use gridded ship's datasets instead of individual ship reports, we suggest that these datasets must be checked for the presence of doubtful raw monthly means in the same manner as individual ship reports are quality controlled before being integrated in ship reports databases.

Domaines: Océan, Atmosphère

Pascal Terray. OUTLIER DETECTION IN GRIDDED SHIP'S DATASETS. Advances in the applications of marine climatology- The Dynamic Part of the WMO Guide to the Applications of Marine Climatology, WMO/TD-No. 1081 (13), pp.177-186, 2003, JOINT WMO/IOC TECHNICAL COMMISSION FOR OCEANOGRAPHY AND MARINE METEOROLOGY TECHNICAL REPORT SERIES. ⟨hal-01413807⟩