COSMO-CLM simulation for Bohai, Yellow and East China Sea:
System Analysis and Modelling Group at the Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research (referred to hereinafter as data producer) has computed the regional climate simulation. By making these data available, the data producer wishes to stimulate and support climate change and impact research projects. The data producer is aiming to make the results produced on the basis of these data available on its website and in publications as part of an international overview of regional climate change research. All interested users will have access to the simulation data being calculated with high resolution both in space and time.
The data were computed at the German Climate Computing Centre (DKRZ) in Hamburg using the regional climate model COSMO-CLM. The simulations were carried out with support by the China Scholarship Council, the Helmholtz Climate Initiative REKLIM and the CLM community.
Li, Delei; von Storch, Hans; Geyer, Beate (2017). COSMO-CLM simulation for Bohai, Yellow and East China Sea for 1979 - 2013. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/BH_LONG_ERAin
Model: COSMO-CLM v4.14 Dynamic mode http://www.cosmo-model.org/content/model/documentation/core/default.htm Forcing: ERA-Interim with spectral nudging
Resolusion: 0.0625°(approx. 7 km / 1979-2013; continuous run
Structure: Rotated model grid with rotated north pole at lat 54.2 °N, lon -57.7 °E; extraction of subregions possible
ERA-Interim with spectral nudging
surface height and orographic roughness length: gtopo30 data set of the Distributed Active Archive Center (US Geological Survey, 2004),
land–sea fraction, parameters of vegetation, leafarea, and root depth from the GLC2000/Globcover/Ecoclimap .
soil type: Food and Agriculture Organization of the United Nations (FAO).
climatological deep soil temperature: CRU (Climate research Unit at the University of East Anglia).
The data quality has been validated in terms of surface wind speeds and some coastal meso-scale phenomena, and has been used in regional wind energy assessment. For further details, the users can refer to publications of Li et al. (2016a, b) and Li (2017). However, the quality of other variables such as temperature has not been validated, which means that users will have to use the other variables in the dataset with special care. Additionally, the model results cannot be interpreted as point related exact values: instead, they represent mean values in space and time with the model resolution (grid spacing and time step).
F-UJI result: total 62 %
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 4 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The temporal coverage description (metadata) is consistent to the data: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Helmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH
Is documented by
 DOILi, Delei; von Storch, Hans; Geyer, Beate. (2016). High-resolution wind hindcast over the Bohai Sea and the Yellow Sea in East Asia: Evaluation and wind climatology analysis. doi:10.1002/2015JD024177