2014
DOI: 10.5194/essd-6-147-2014
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High-resolution atmospheric reconstruction for Europe 1948–2012: coastDat2

Abstract: Abstract. The coastDat data sets were produced to give a consistent and homogeneous database mainly for assessing weather statistics and climate changes since 1948, e.g., in frequencies of extremes for Europe, especially in data sparse regions. A sequence of numerical models was employed to reconstruct all aspects of marine climate (such as storms, waves, surges, etc.) over many decades. The acronym coastDat stands for the set of consistent ocean and atmospheric data, where the atmospheric data where used as f… Show more

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Cited by 102 publications
(95 citation statements)
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“…Meteorological forcing originated from an hourly resolution hindcast by the limited area model COSMO-CLM (Geyer, 2014). Boundary conditions for surface elevations are extracted from an hourly resolution hindcast by TRIM-NP .…”
Section: Hydrodynamic Model and Model Couplingmentioning
confidence: 99%
“…Meteorological forcing originated from an hourly resolution hindcast by the limited area model COSMO-CLM (Geyer, 2014). Boundary conditions for surface elevations are extracted from an hourly resolution hindcast by TRIM-NP .…”
Section: Hydrodynamic Model and Model Couplingmentioning
confidence: 99%
“…All physical atmospheric parameters were taken from regional atmospheric simulations with the COSMO-CLM v4.8 mesoscale meteorological model (Geyer, 2014) using NCEP reanalysis data as forcing (Kalnay et al, 1996). COSMO-CLM is the climate version of the regional-scale meteorological community model COSMO (Rockel et al, 2008), originally developed by Deutscher Wetterdienst (DWD) (Steppeler et al, 2003;Schaettler et al, 2008).…”
Section: Cclm-cmaqmentioning
confidence: 99%
“…The meteorological fields that drive the chemistry transport model were simulated with the COSMO-CLM mesoscale meteorological model (version 4.8) for the year 2008 (Geyer, 2014) using NCEP forcing data (Kalnay et al, 1996). This year was chosen because it does not contain very unusual meteorological conditions in Europe and can therefore be used to represent typical weather conditions in Europe.…”
Section: Cosmo-clmmentioning
confidence: 99%