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 thr...
Strong wind is the main cause of storm sea waves. In order to minimize risks and damages from this p...
Extreme wind speeds are a significant climate risk, potentially endangering human lives, causing dam...
High-resolution data are needed in order to assess potential impacts of extreme events on infrastruc...
This paper compares extreme value statistics of daily maximum 10 m wind speed in winter simulated by...
Abstract. Frequency and intensity of gust wind speeds asso-ciated with severe mid-latitude winter st...
Frequency and intensity of gust wind speeds associated with severe mid-latitude winter storms are es...
Wind extremes have consequences for renewable energy sectors, critical infrastructures, coastal ecos...
Global and regional climate models are deterministic physical models which provide predictions of, a...
We use observed air temperature data series from 14 meteorological stations in coastal Greenland (lo...
High wind speed (U) is one of the most dangerous natural hazards in North America and Europe. As a r...
Recent studies have shown that the Arctic climate has changed markedly over the past 25 years. Unfor...
Meltwater from the Greenland Ice Sheet contributed 1.7–6.12 mm to global sea level between 1993 and ...
This dataset contains wind speed values from ERA5 Reanalysis (obtained from zonal and meridional com...
The regional climate model COSMO in Climate Limited-Area Mode (COSMO-CLM or CCLM) is used with a hig...
[1] High-resolution (50 km) climate change simulations for an area covering the entire Arctic have b...
Strong wind is the main cause of storm sea waves. In order to minimize risks and damages from this p...
Extreme wind speeds are a significant climate risk, potentially endangering human lives, causing dam...
High-resolution data are needed in order to assess potential impacts of extreme events on infrastruc...
This paper compares extreme value statistics of daily maximum 10 m wind speed in winter simulated by...
Abstract. Frequency and intensity of gust wind speeds asso-ciated with severe mid-latitude winter st...
Frequency and intensity of gust wind speeds associated with severe mid-latitude winter storms are es...
Wind extremes have consequences for renewable energy sectors, critical infrastructures, coastal ecos...
Global and regional climate models are deterministic physical models which provide predictions of, a...
We use observed air temperature data series from 14 meteorological stations in coastal Greenland (lo...
High wind speed (U) is one of the most dangerous natural hazards in North America and Europe. As a r...
Recent studies have shown that the Arctic climate has changed markedly over the past 25 years. Unfor...
Meltwater from the Greenland Ice Sheet contributed 1.7–6.12 mm to global sea level between 1993 and ...
This dataset contains wind speed values from ERA5 Reanalysis (obtained from zonal and meridional com...
The regional climate model COSMO in Climate Limited-Area Mode (COSMO-CLM or CCLM) is used with a hig...
[1] High-resolution (50 km) climate change simulations for an area covering the entire Arctic have b...
Strong wind is the main cause of storm sea waves. In order to minimize risks and damages from this p...
Extreme wind speeds are a significant climate risk, potentially endangering human lives, causing dam...
High-resolution data are needed in order to assess potential impacts of extreme events on infrastruc...