• Research dataclose
• Other research productsclose
• Restricted close
• Dataset close
• English close
• Energy Research close

Project: IPCC Data Distribution Centre : Assessment Report Five data sets - The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and option for adaption and migration. Projection of future trends for a number of key variables are provided through this section of the DDC (http://www.ipcc-data.org/sim/gcm_monthly/AR5/ ). Based on the interests and needs of model developers and data users, global scenarios for two time periods where developed: - near-term scenarios that cover the period to about 2035; and - long-term scenarios that cover the period to 2100 and, in a more stylized way, the period to 2300. Four RCPs (Representative Concentration Pathways: RCP2.6, RCP4.5, RCP6.0 and RCP8.5) were constructed from long-term scenarios available in the published literature. These scenarios include time paths for emissions and concentrations of the full suite of greenhouse gases and aerosols and chemically active gases, as well as land use/land cover. They describe alternative technological, socioeconomic, and policy futures including both reference (without explicit climate policy intervention) and climate policy scenarios. The data represent a subset of data sets from the distributed CMIP5 (Coupled Model Intercomparison Project Phase 5) data archive: http://cmip-pcmdi.llnl.gov/cmip5, which was collected by the ETH Zurich in support of the IPCC WG 1 authors. Data are available in NetCDF/CF format (http://cf-pcmdi.llnl.gov/). Fifth Assessment Report of the IPCC: IPCC, 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp, doi:10.1017/CBO9781107415324. Summary: historical is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the IPCC AR5. This subset of the CMIP5 additional historical data were collected by ETH Zurich until 15th March 2013 in support of IPCC AR5 Working Group 1 ( http://wiki.c2sm.ethz.ch/COSMO/CMIP5 ). These data are part of the IPCC-DDC AR5. historical (3.2 Historical) - Version 2: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Data are structured and entry names are set according to the ETH Zurich Archive layout: "experiment/MIP table/variable/model/ensemble member/CMOR filename.nc"

Project: open feed-in time series based on a Renewable Energy Database - The dataset was produced in the framework of the project openFRED. The data are dedicated to force energy system models, i.e. relevant parameters for wind energy (gust estimates), for solar energy (direct normal irradiation) and hydropower (runoff). The project was founded by Bundesministeriums für Wirtschaft und Energie, FKZ: 0324006B. Summary: This is an atmospheric hindcast for Western Europe and the North Atlantic using COSMO-CLM version 5.0 with spectral nudging from 2002-2017. MERRA2 reanalysis data are used as forcing. Additionally transient and monthly aerosol data of the MACv2 climatology are prescribed. The model uses a rotated grid with 566 x 481 grid points and a grid point distance of 0.0625 degrees, the rotated North pole is located at 162.0 W, 39.25 N. The published data excludes the sponge zone and have 526 x 441 grid points. In rotated coordinates the published simulation data extends from 22.64 W to 10.18 E, 11.2 S to 16.3 N, in geographical coordinates this corresponds to about 12 W to 30 E, 39 N to 60 N. institution: Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Germany source: int2lm_131101_2.00_clm4, COSMO-CLM5.0_clm14_aerosol_gust (available at DKRZ's LTA WDCC service) contact: http://coastmod.hzg.de originator: Ronny Petrik crs: EPSG:4326

The Emiliania huxleyi stoichiometry database contains data for the growth rate, cellular elemental content (particulate inorganic carbon - PIC, organic carbon - C, nitrogen - N and phosphorous - P) and C:N:P stoichiometry (PIC:C, C:N, N:P, C:P) compiled through a meta-analysis of literature reporting the results of laboratory experiments (cultures) on the coccolithophore species Emiliania huxleyi, an important calcifying marine phytoplankton. The database also reports selected additional parameters including cell size and/or volume, and chlorophyll a as well as additional meta-data associated with the original data source including strain details and culture experimental conditions. A description of the parameters contained in the database can be found in the file "The Emiliania huxleyi stoichiometry database data description". Please cite this dataset as: Sheward et al. (2021) The Emiliania huxleyi stoichiometry database. doi:10.5281/zenodo.4601185

This datafile is part of a study that shows how the implementation of a new and sustainable land use on rewetted peatlands with production of biomass (Sphagnum paludiculture) aids organic matter, carbon and nutrient accumulation. The measurements were conducted on a Sphagnum paludiculture site in Germany from March 2014 until June 2021. The site was installed in 2011 and expanded in 2016 (see methods below for more details). This file includes (see codebook below for details) data obtained with a field measurements on a Sphagnum paludiculture (Germany, datafile ‘Temmink et al. time series’ and ‘Temmink et al. biomass’). The datafiles contain data related to pore and surface water nutrient concentrations over time, organic matter accumulation and nutrient content of the organic matter after 5 or 10 years. Not all data presented in the data files were used in the manuscript, but are provided as additional information to interested researchers. Contact person: Ralph Temmink - r.j.m.temmink@uu.nl

Project: coastDat-1 - CoastDat (http://www.coastdat.de/about_us/index.php) comprises a compilaton of coastal analyses (that is hindcasts and reconstructions) and scenarios for the future obtained from numerical models. The objective is to provide a consistent meteorological-marine data set. Summary: The data are from multi-decadal hindcast simulation with the wave model WAM 4.5 covering the entire Baltic Sea using a grid size of about 5.5x5.5 km (0.05 degrees latitude x 0.10 degrees longitude). The hindcast covers the period 1958-2002. Integrated parameter derived from 2D spectra are available every hour; the wave spectra are available with a 3-hour time step. Atmospheric forcing was obtained from an atmospheric hindcast with SN-REMO (http://dx.doi.org/10.1594/WDCC/coastDat-1_SN-REMO) driven by the NCEP/NCAR Reanalysis 1 data set (Kalnay et al.,1996). Lateral boundary conditions were obtained from corresponding hindcast for the southern North Sea driven by the same atmospheric forcing (http://dx.doi.org/10.1594/WDCC/coastDat-1_Waves).

Project: Convective and Orographically-induced Precipitation Study - Weather forecast models have not been successful in improving the Quantitative Precipitation Forecast during the last 16 years. One reason for this stagnation is the lack of comprehensive, high-quality data sets usable for model validation as well as for data assimilation, thus leading to improved initial fields in numerical models. Theoretical analyses have identified the requirements measured data have to meet in order to close the gaps in process understanding. In field campaigns, it has been shown that the newest generation of remote sensing systems has the potential to yield data sets of the required quality. It is therefore time to combine the most powerful remote sensing instruments with proven ground-based and airborne measurement techniques in an Intensive Observations Period (IOP). Its goal is to serve as a backbone for the Priority Program SPP 1167 by producing the demanded data sets of unachieved accuracy and resolution. This requires a sophisticated scientific preparation and a careful coordination between the efforts of the institutions involved. For the first time, the pre-convective environment, the formation of clouds and the onset and development of precipitation as well as its intensity will be observed in four dimensions simultaneously in a region of sufficient size. This shall be achieved by combining the IOP with international programs and by collaboration between leading scientists in Europe, US, and other countries. Thus, the IOP, which we call Convective and Orographically-induced Precipitation Study (COPS), is a unique opportunity for an international field campaign featuring the newest generation of measurement systems such as scanning radar and lidar and leading to outstanding advances in atmospheric sciences. Please be aware of the common COPS/GOP/D-PHASE data policy, which you please find at http://cops.wdc-climate.de/ Summary: The energy balance station run by University of Bonn measured high-frequency (10 Hz) eddy-covariance raw data with a CSAT3 (Campbell Scientific, Inc.) sonic anemometer and a LI-7500 (LI-COR Biosciences) hygrometer above the target land use type meadow. The measuring set-up was continuously running during the entire COPS measurement period in order to provide a complete time series of the turbulent fluxes of momentum, sensible and latent heat as well as carbon dioxide. Post-processing was performed using the software package TK2 (developed by the Department of Micrometeorology, University of Bayreuth) which produces quality assured turbulent flux data with an averaging interval of 30 min. The documentation and instruction manual of TK2 (see entry cops_nebt_ubt_info_1) and additional references about the applied flux corrections and post-field data quality control (see entry cops_nebt_ubt_info_2) as well as a document about the general handling of the flux data can be found in supplementary pdf-files within the energy balance and turbulence network (NEBT) experiment of the data base. The turbulent flux data in this data set are flagged according to their quality and checked for an impact of possible internal boundary layers. Additionally, the flux contribution from the target land use type intended to be observed to the total flux measured was calculated applying footprint modeling. Information and references about the internal boundary layer evaluation procedure and the footprint analysis are also given in additional info pdf-files. Pictures of the footprint climatology of the station as related to the land use and to the spatial distribution of the quality flags are included in the corresponding additional info pdf-file.

Project: coastDat-1 - CoastDat (http://www.coastdat.de/about_us/index.php) comprises a compilaton of coastal analyses (that is hindcasts and reconstructions) and scenarios for the future obtained from numerical models. The objective is to provide a consistent meteorological-marine data set. Summary: The data are from multi-decadal hindcast simulation with the wave model WAM 4.5 covering the Southern North Sea (51-56.5 N and -3W-10.5E) using a grid size of about 5,5x5.5 km (0.05 degrees latitude x 0.10 degrees longitude). The hindcast covers the period 1948-2007. Integrated parameter derived from 2D spectra are available every hour; the wave spectra themselves are available with a 3-hour time step. Atmospheric forcing was obtained from an atmospheric hindcast with SN-REMO driven by the NCEP/NCAR Reanalysis 1 data set. Lateral boundary conditions were obtained from corresponding coarse grid hindcast covering most of the Northeast Atlantic driven by the same atmospheric forcing.

Project: IPCC Data Distribution Centre : Assessment Report Five data sets - The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and option for adaption and migration. Projection of future trends for a number of key variables are provided through this section of the DDC (http://www.ipcc-data.org/sim/gcm_monthly/AR5/ ). Based on the interests and needs of model developers and data users, global scenarios for two time periods where developed: - near-term scenarios that cover the period to about 2035; and - long-term scenarios that cover the period to 2100 and, in a more stylized way, the period to 2300. Four RCPs (Representative Concentration Pathways: RCP2.6, RCP4.5, RCP6.0 and RCP8.5) were constructed from long-term scenarios available in the published literature. These scenarios include time paths for emissions and concentrations of the full suite of greenhouse gases and aerosols and chemically active gases, as well as land use/land cover. They describe alternative technological, socioeconomic, and policy futures including both reference (without explicit climate policy intervention) and climate policy scenarios. The data represent a subset of data sets from the distributed CMIP5 (Coupled Model Intercomparison Project Phase 5) data archive: http://cmip-pcmdi.llnl.gov/cmip5, which was collected by the ETH Zurich in support of the IPCC WG 1 authors. Data are available in NetCDF/CF format (http://cf-pcmdi.llnl.gov/). Fifth Assessment Report of the IPCC: IPCC, 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp, doi:10.1017/CBO9781107415324. Summary: rcp26 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the IPCC AR5. This subset of the CMIP5 additional historical data were collected by ETH Zurich until 15th March 2013 in support of IPCC AR5 Working Group 1 ( http://wiki.c2sm.ethz.ch/COSMO/CMIP5 ). These data are part of the IPCC-DDC AR5. rcp26 (4.3 RCP2.6) - Version 2: Future projection (2006-2100) forced by RCP2.6. RCP2.6 is a representative concentration pathway which approximately results in a radiative forcing of 2.6 W m-2 at year 2100, relative to pre-industrial conditions. Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Data are structured and entry names are set according to the ETH Zurich Archive layout: "experiment/MIP table/variable/model/ensemble member/CMOR filename.nc"

Project: Numerical reconstructions and extreme value statistics of the Northeast Atlantic storm climate and comparison with observations - Homepage of project see http://sfb512.zmaw.de Subproject_F4: Langzeitsimulationen und Extremwertstatistiken des regionalen Klimas des Nordatlantiks im Vergleich zu Beobachtungen Leader: Ralf Weisse see http://sfb512.zmaw.de/index.php?id=tp_f400 Summary: The experiment CLM_A1B_ZS contains Northern European regional climate simulations of the years 2070-2099 on a rotated grid (CLM non hydrostatic, 0.44 deg. hor. resolution, see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC SRES A1B (EH5-T63L31_OM-GR1.5L40_A1B_1_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. The model region starts at -19.36/-40.48 (lat/lon in rotated coordinates; centre of lower left corner of the domain) with rotated North Pole at 21.3/-175.0 (lat/lon). The number of grid points is 80/146 (lat/lon). The sponge zone (numerically unreliable boundary grid points) consists of 8 grid boxes at each border. EH5-T63L31_OM-GR1.5L40_A1B_1_6H were nudged during the simulations (spectral nudging,von Storch, H., A spectral nudging technique for dynamical downscaling purposes. Mon. Wea. Rev, 2000 ) The regional model variables include two-dimensional near surface fields and atmospheric fields on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa) for zonal and meridional wind, temperature and pressure. The time interval of the output fields is 3 hours. Please contact sga"at"dkrz.de for data request details. The output format is netCDF. Experiment with CLM 2.4.6 on HPC Cluster ( blizzard ).

A commercial wind turbine with a 2 MW power output was installed with a condition monitoring system. Data was collected at 10-minute intervals. The data was sampled at 97656 sps for 6 seconds. Bearing envelop analysis was performed by band passing the signal between 9 to 11 KHz. Welches spectrum was used on the heterodyned signal with a DFT length of 4096, and with an overlap of 2048 points.