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

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 global importance of mesopelagic fish is increasingly recognised, but they remain relatively poorly studied. This is particularly true in the Southern Ocean, where mesopelagic fishes are both key predators and prey, but where the remote environment makes sampling challenging. Despite this, multiple national Antarctic research programs have undertaken regional sampling of mesopelagic fish over several decades. However, data are dispersed, and sampling methodologies often differ precluding comparisons and limiting synthetic analyses. Here, we have collated and standardized existing survey data of mesopelagic fishes into a circumpolar dataset called Myctobase. To date, Myctobase holds 17,491 occurrence and 11,190 abundance records from 4780 net hauls from 72 different research cruises. Data include trait-based information of individuals including standard length, weight and life-stage. Data span across 37 years from 1991 to 2019. Detailed metadata has also been provided for each sampling event including the date, time, position (latitude, longitude, and depth), sampling protocol, net type, net mesh size, tow speed, volume filtered and haul type (routine, target, random). The dataset is comprised of three comma-separated files. The first file (event.csv) describes the survey methodology. The second file (groupOccurrence.csv) contains the catch data linked to the survey methodology by an event ID. The final file (individualOccurrence.csv) contains measurements of individuals. Each row contains the event and occurrence ID, which links each measurement to the first and second file. See associated metadata record for definitions and units for each variable in 'definitions.xlsx'. The final dataset was subject to quality control and validation processes. Entries with ambiguous or incomplete records were identified with a '0' in the column labelled 'validation' (event.csv) and a description of the missing data can be found in the proceeding column labelled 'validationDescription'. The taxonomic name for each individual was verified against the World Register of Marine Species (http://www.marinespecies.org/).

With the help of a local interpreter, semi-structured interviews were conducted with Elders and people still active on the land. Old and actual berry picking sites were identified on maps to evaluate spatial and temporal variability in vegetation and berry production. Interviews were recorded, filmed and transcribed. Similar projects are ongoing in Kangiqsualujjuaq, Kangiqsujuaq and Umiujaq (Nunavik) as well as in Pangnirtung, Baker Lake and Pond Inlet (Nunavut), and Nain (Nunatsiavut).

These data comprise a suite of water chemistry parameters for 13 - 24 river or creek sites across Old Crow Flats, Yukon, Canada. The sampling record is for 2007 - 2012 (n = 13) and 2015 - 2019 (n = 24). Samples were collected mostly during June and late August/early September for the entire record, and for late July for the early record. Sampling sites span headwaters to high-order channels including the main tributaries (i.e., Johnson Creek, Schaeffer Creek, Blackfox Creek, King Edward Creek, Thomas Creek, Potato Creek) and seven locations along the Old Crow River. Data provide an indication of water chemistry spatial patterns across Old Crow Flats during 2007 - 2019. Ongoing synthesis is being used to identify how these spatial patterns are responding to climate-driven landscape changes.

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

In 2015, Automated Soil CO2 Exchange (ACE) Stations were deployed at the Cape Bounty Arctic Watershed Observatory (CBAWO) to quantify the contribution of CO2 exchange from wet sedge vegetation. The wet sedge vegetation type is of specific interest as it is the most productive community type in the High Arctic. These communities are commonly regarded in past studies as carbon sinks during their entire growing season, although the scale and key controls are not completely understood. In addition, warming of the High Arctic enhances wet sedge growth, which may result in an increase of the percentage of land occupied by wet sedge meadows. This in turn has the capability of significantly altering the carbon balance of high Arctic landscapes. The objective of these data files is to determine the CO2 exchange rate in these settings, utilizing the ACE systems. The measurements from each chamber were automatically recorded every 30 minutes from July 3 2015 to August 7 2015. Active layer depth, photosynthetically active radiation (PAR), soil temperature and soil moisture measurements were also collected in conjunction with the net CO2 exchange rate (NCER). The r esults indicate that wet sedge vegetation in this area does represent a carbon sink through photosynthetic processes.

No abstract available

At all sites in the network we measure vegetation structure, plant community composition, tree density, the productivity of edible berries, active layer depth, and near surface ground temperatures. At core sites we also maintain meteorological stations, frost tubes, and deep ground temperature cables. Revisiting baseline sites every five years will allow us to determine if vegetation and permafrost conditions are responding to increased air temperatures or altered natural disturbance regimes. This monitoring network will also act as a basis to determine if the environmental impacts of future development exceed thresholds defined by baseline variability.

Since 1982, snow pit samples have been collected for pollen analysis from the top of ice caps in the Canadian Arctic during the annual glacier mass balance survey. Other glacier and ice cap sites, and Arctic Ocean sea ice locations have been sampled sporadically since 1982 in order to obtain a better coverage of pollen deposition. Through IPY, and in conjunction with other field activities, the Mount Oxford ice field, in Quttinirpaaq National Park, northern Ellesmere Island and the NEEM ice core drilling site, in north-west Greenland, were added to the list. At both sites, four snow layers were collected per year of accumulation. These correspond, more or less, to seasons. At Mount Oxford, the record covers 6 years (2002-2008), while at NEEM, it covers 3 years of snow accumulation. On Agassiz Ice Cap, Ellesmere Island, the seasonal pollen deposition record is continuous from 1982 to 2008. Pollen concentrations are typically low on Arctic ice caps (~ 2-50 pollen grains / L). However, on Agassiz Ice Cap, the data show the number of pollen in the snow has been increasing since the mid-1990.

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"