Not logged in
Data Publisher for Earth & Environmental Science

Gutjahr, Oliver; Heinemann, Günther (2018): Extreme indices and return levels of daily maximum 10m wind speed in the Arctic and around Greenland. PANGAEA,

Always quote above citation when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

A polar-adjusted version of the regional climate model COSMO-CLM was used at a horizontal resolution of about 15km (0.125°; C15) to simulate and analyse extreme 10m wind speeds from 1979-2016 in winter (Nov to Apr) in the Arctic and around Greenland. Based on daily maximum 10m wind speeds, extreme indices (95% percentiles, average strong gale and hurricane days per winter) and return levels up to the 20year return period are calculated and compared with state-of-the-art reanalysis data sets (ERA-Interim, ASR version 1 and 2) and with the satellite product CCMP version 2. The return levels were calculated by the 'peaks-over-threshold' (POT) method which fits a General Pareto distribution (GPD) to extreme values exceeding a specified high threshold (for this study the local 95% and 99% percentiles). The model comparison was based on the overlapping winter period 2000-2012 (Nov to Apr). Before the analysis all data sets were interpolated onto the rotated model grid of C15 (450x350 grid boxes, with the rotated pole located at 100°W and 0°N).
Related to:
Gutjahr, Oliver; Heinemann, Günther (2018): A model-based comparison of extreme winds in the Arctic and around Greenland. assigned doi:10.1002/joc.5729, International Journal of Climatology
Latitude: 90.000000 * Longitude: 0.000000
pan-Arctic * Latitude: 90.000000 * Longitude: 0.000000 * Location: Arctic
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File contentContentGutjahr, Oliver
2File nameFile nameGutjahr, Oliver
3File formatFile formatGutjahr, Oliverwithin zip file
4File sizeFile sizekByteGutjahr, Oliverof zip file
5Uniform resource locator/link to fileURL fileGutjahr, Oliver
10 data points

Download Data

Download dataset as tab-delimited text (use the following character encoding: )

View dataset as HTML