| Volumes and Issues Contents of Issue 5 |
www.atmos-chem-phys-discuss.net/7/14433/2007/
doi:10.5194/acpd-7-14433-2007
© Author(s) 2007. This work is licensed
under a Creative Commons License.
Extreme associated functions: optimally linking local extremes to large-scale atmospheric circulation structures
Royal Netherlands Meteorological Institute (KNMI), Postbus 201, 3730 AE De Bilt, The Netherlands
Abstract. We present a new statistical method to optimally link local weather extremes to large-scale atmospheric circulation structures. The method is illustrated using July–August daily mean temperature at 2 m height (T2m) time-series over the Netherlands and 500 hPa geopotential height (Z500) time-series over the Euroatlantic region of the ECMWF reanalysis dataset (ERA40). The method identifies patterns in the Z500 time-series that optimally describe, in a precise mathematical sense, the relationship with local warm extremes in the Netherlands. Two patterns are identified; the most important one corresponds to a blocking high pressure system leading to subsidence and calm, dry and sunny conditions over the Netherlands. The second one corresponds to a rare, easterly flow regime bringing warm, dry air into the region. The patterns are robust; they are also identified in shorter subsamples of the total dataset. The method is generally applicable and might prove useful in evaluating the performance of climate models in simulating local weather extremes.
Discussion Paper (PDF, 1789 KB) Interactive Discussion (Closed, 2 Comments) Publication in ACP not foreseen
Citation: Panja, D. and Selten, F. M.: Extreme associated functions: optimally linking local extremes to large-scale atmospheric circulation structures, Atmos. Chem. Phys. Discuss., 7, 14433-14460, doi:10.5194/acpd-7-14433-2007, 2007. Bibtex EndNote Reference Manager XML
