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 forcing for the reconstruction of the sea state. Here, we describe the atmospheric part of coastDat2 (Geyer and Rockel, 2013; doi:10.1594/WDCC/coastDat-2_COSMO-CLM). It consists of a regional climate reconstruction for the entire European continent, including the Baltic Sea and North Sea and parts of the Atlantic. The simulation was done for 1948 to 2012 with the regional climate model COSMO-CLM (CCLM) and a horizontal grid size of 0.22 degree in rotated coordinates. Global reanalysis data of NCEP1 were used as forcing and spectral nudging was applied. To meet the demands on the coastDat data set about 70 variables are stored hourly.
Highlights
In this paper we show data set comparisons for the most user-requested quantities: 2 m temperature, total precipitation, wind speed, cloud cover, and height of boundary layer
The evaluation of the data set for air temperature, precipitation, wind, and cloud cover was done by using common gridded data sets: E-OBS of the ENSEMBLES project version 8.0, CRU version ts_3.2 (Jones and Harris, 2011), GPCC
The data set described represents the longest regional reconstruction based on global atmospheric reanalyses at such a high spatial and temporal detail
Summary
The precursor of coastDat, coastDat (Weisse et al, 2009), was widely used. About 50 % of the coastDat users were commercial, while 25 % were academic and another 25 % were from the authorities. As coastDat terminated in 2007, and as there were strong requests for an upgrade comprising the most recent years at higher spatial resolution, the coastDat effort was implemented. The atmospheric part of coastDat described in this paper was produced with the community model COSMO-CLM on the current super computer of the German Climate Computing Center (DKRZ). It is the successor of the coastDat regional atmospheric simulation done with REMO5.0 (Feser et al, 2001; Jacob et al, 2001). For coastal areas the higher resolution is the main advantage. The overall advantage is the availability of the last 5 years
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