Publications, presentations and other activities
Building long homogenous temperature series across Europe: a new approach for the blending of neighboring series
by A.A. Squintu (KNMI), G. van der Schrier (KNMI), E.J.M. van den Besselaar (KNMI), R.C. Cornes (KNMI), A.M.G. Klein Tank (Hadley Center, Met office)
Long and homogeneous series are a precious requirement for climate analyses. Relocation of measuring equipment from a station to another, like from the city center to the rural area or a nearby airport, is one of the causes of discontinuities in the temperature measurements which may affect trend estimates. Long series suitable for long-term climatological studies can be build by gathering and combining data from nearby stations. In this paper a updated procedure for the composition of long series is introduced, coupling an evolution of this blending procedure already implemented within the European Climate Assessment and Dataset with the quantile matching homogenization procedure. Three case studies help to evaluate the effects on single series, while a trend assessment on the whole European continent demonstrates a stronger spatial consistency in trends values. The new blended and homogenized data-set will allow a more reliable use of temperature series for indices calculation and for the calculation of gridded data-sets.
|Squintu, A.A., G. van der Schrier, E.J.M. van den Besselaar, R.C. Cornes and A.M.G. Klein Tank, Building long homogenous temperature series across Europe: a new approach for the blending of neighboring series |
accepted, Journal of Applied Meteorology and Climatology, 2019.Abstract (html)