cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5440/1575055
title: Frost Table Elevation across a Low-Centered and a High-Centered Polygon, Mapped using Ground Penetrating Radar, Utqiagvik (Barrow), Alaska, 2015

description: Ground Penetrating Radar, active layer thickness point measurements, and ground elevation surveys were conducted on a low-centered and a high-centered polygon in Utqiagvik (Barrow), AK (on October 2nd, 2015) to map frost table topography and evaluate its influence on hydrological flow. Data were collected to improve our understanding of the topography of the permafrost table across polygons which may have a major influence on hydrology. This dataset includes 2 zip files containing the raw data, 2 csv files of processed data, and a pdf user guide.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.14291/tccon.ggg2014.fourcorners01.r0/1149272
title: TCCON data from Four Corners (US), Release GGG2014.R0

description: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Four Corners, U.S.A...
description: <br>Cite this record as:<br>Dubey, M. K., Lindenmaier, R., Henderson, B. G., Green, D., Allen, N. T., Roehl, C. M., Blavier, J.-F., Butterfield, Z. T., Love, S., Hamelmann, J. D., & Wunch, D. (2014). <i>TCCON data from Four Corners (US), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.FOURCORNERS01.R0/1149272<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 158<br>Unique Downloads: 7<br> between September 08, 2017 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.15129/1e27b806-1eae-494d-83b5-a5f4792c46fc
title: Data for: "A synthetic map of the northwest European Shelf sedimentary environment for applications in marine science"

description: This dataset shows maps of the sediment properties and physical environment of the seabed on the northwest European Continental Shelf. Mapped products are: mud, sand and gravel percentages; rock cover; whole-sediment, sand- and gravel-fraction median grain sizes; porosity and permeability; carbon and nitrogen content of sediments; mean and maximum depth-averaged tidal velocity and wave orbital-velocity; monthly natural disturbance rates. 

Data products are produced at a spatial resolution of 0.125 by 0.125 degrees.

[Please note that a previous pre-peer review version of this dataset exists: (http://dx.doi.org/10.15129/07bc686e-a354-40de-8c08-372ced7aad64]
DOI: 10.1594/pangaea.879658
title: GRACILE: A comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings, link to data in NetCDF format

description: Gravity waves are one of the main drivers of atmospheric dynamics. The spatial resolution of most global atmospheric models, however, is too coarse to properly resolve the small scales of gravity waves, which range from tens to a few thousand kilometers horizontally, and from below 1 km to tens of kilometers vertically. Gravity wave source processes involve even smaller scales. Therefore, general circulation models (GCMs) and chemistry climate models (CCMs) usually parametrize the effect of gravity waves on the global circulation. These parametrizations are very simplified. For this reason, comparisons with global observations of gravity waves are needed for an improvement of parametrizations and an alleviation of model biases. We present a gravity wave climatology based on atmospheric infrared limb emissions observed by satellite (GRACILE). GRACILE is a global data set of gravity wave distributions observed in the stratosphere and the mesosphere by the infrared limb sounding satellite instruments High Resolution Dynamics Limb Sounder (HIRDLS) and Sounding of the Atmosphere using Broadband Emission Radiometry (SABER). Typical distributions (zonal averages and global maps) of gravity wave vertical wavelengths and along-track horizontal wavenumbers are provided, as well as gravity wave temperature variances, potential energies and absolute momentum fluxes. This global data set captures the typical seasonal variations of these parameters, as well as their spatial variations. The GRACILE data set is suitable for scientific studies, and it can serve for comparison with other instruments (ground based, airborne, or other satellite instruments) and for comparison with gravity wave distributions, both resolved and parametrized, in GCMs and CCMs.
description: Supplement to: Ern, Manfred; Trinh, Quang Thai; Preusse, Peter; Gille, John C; Mlynczak, Martin G; Russell III, James M; Riese, Martin (2018): GRACILE: a comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings. Earth System Science Data, 10(2), 857-892
DOI: 10.1594/pangaea.880512
title: West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL) high-resolution climate simulation data, links to subset of variables at daily and monthly temporal resolution in NetCDF format

description: With climate change being one of the most severe challenges to Africa in the 21st century, West Africa is facing an urgent need to develop effective adaptation and mitigation measures. WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use, http://www.wascal.org) is a large-scale research-focused Climate Service Centre designed to help tackle this challenge and thereby enhance the resilience of human and environmental systems to climate change and increased variability. It does so by strengthening the research infrastructure and capacity in West Africa related to climate change and by pooling the expertise of ten West African countries and Germany. Funded by the German Federal Ministry of Education and Research (BMBF), WASCAL is implemented in a collaborative effort by West African and German partners. An integral part of its climate services is the provisioning of a new set of high resolution, ensemble-based regional climate change scenarios for the region of West Africa. An ensemble approach is chosen to address model uncertainties and provide statistical estimates on possible future climate change scenarios. The ensemble is composed of three regional climate models, WRFV3.5.1, COSMO-CLM 4.18, and REGCM4. Three Earth System Models from the CMIP5 project are downscaled by each of the regional models, MPI-ESM, GFDL-ESM2M, and HadGEM2-ES for the historical period from 1980 to 2010 and for the RCP4.5 scenario from 2020 to 2050 and from 2070 to 2100. Control runs are created by downscaling the European Centre for Medium-Range Weather Forecasts ERA-Interim re-analysis from 1980 to 2014. Two sets of resolutions are made available, 60km and 12km, for a large domain covering the greater region of West Africa from 25W to 25E and 5S to 25N. The data provided here is a subset of the full data set, which is available at the CERA database of the German Climate Computing Center DKRZ (Heinzeller et al., 2017, https://cera-www.dkrz.de/WDCC/ui/Project.jsp?acronym=WASCAL).
description: Supplement to: Heinzeller, Dominikus; Dieng, Diarra; Smiatek, Gerhard; Olusegun, Christiana F; Klein, Cornelia; Hamann, Ilse; Salack, Seyni; Bliefernicht, Jan; Kunstmann, Harald (2018): The WASCAL high-resolution regional climate simulation ensemble for West Africa: concept, dissemination and assessment. Earth System Science Data, 10(2), 815-835
DOI: 10.1594/pangaea.952359
title: Upward and downward broadband shortwave and longwave irradiance and downward diffuse and direct solar partitioning during the MOSAiC expedition

description: A radiation station was installed on drifting sea-ice in the Arctic Ocean during the MOSAiC expedition between November 2019 and September 2020. The station measured all the components of the surface radiation budget, that is the broadband downwelling and upwelling shortwave and longwave irradiance, as well as the downward direct and diffuse partitioning of downwelling irradiance. The dataset contains the raw data and the calibrated radiative fluxes recorded at two second temporal resolution for the entire annual cycle of the MOSAiC expedition. The data are not quality checked and occasionally suffer from frost accumulation on the domes of the sensors. Breaks in the dataset occur when the station was removed from the sea-ice, before the research vessel Polarstern temporarily left the ice floe in May 2020 and before the disintegration of the original ice floe in July 2020. The station was installed at the Central Observatory (CO1, CO2, CO3) of MOSAiC on first-year sea-ice: from 12th of November 2019 to 10th of May 2020 the station was located over a rather uniform snow-covered surface, while from the 10th to the 28th of July 2020 it was re-deployed over a ~5m wide sea-ice strip in between two melt-ponds. From 27th of August to 18th of September 2020 the station was installed on a different drifting ice floe at the edge of a melt pond, with the downward facing sensors being over the melt pond.The station did not have its own GPS but each data reading is associated with Master track of Polarstern published in: PS122/1: doi:10.1594/PANGAEA.924669, PS122/2: doi:10.1594/PANGAEA.924672, PS122/3: doi:10.1594/PANGAEA.924678, PS122/4: doi:10.1594/PANGAEA.926830, PS122/5: doi:10.1594/PANGAEA.926911The drift tracks of the Central Observatories are published here: CO1: doi:10.1594/PANGAEA.937184, CO2: doi:10.1594/PANGAEA.937186, CO3: doi:10.1594/PANGAEA.937187
DOI: 10.1594/wdcc/wrf12_eraint_ctrl
title: WASCAL WRF12km with ERA-INT forcing as control experiment

description: Project: West African Science Service Centre on Climate Change and Adapted Land Use - With climate change being one of the most severe challenges to Africa in the 21st century, West Africa is facing an urgent need to develop effective adaptation and mitigation measures. WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use, http://www.wascal.org) is a large-scale research-focused Climate Service Centre designed to help tackle this challenge and thereby enhance the resilience of human and environmental systems to climate change and increased variability. It does so by strengthening the research infrastructure and capacity in West Africa related to climate change and by pooling the expertise of ten West African countries and Germany. Funded by the German Federal Ministry of Education and Research (BMBF), WASCAL is implemented in a collaborative effort by West African and German partners. An integral part of its climate services is the provisioning of a new set of high resolution, ensemble-based regional climate change scenarios for the region of West Africa. An ensemble approach is chosen to address model uncertainties and provide statistical estimates on possible future climate change scenarios. The ensemble is composed of three regional climate models, WRFV3.5.1, COSMO-CLM 4.18, and REGCM4. Three Earth System Models from the CMIP5 project are downscaled by each of the regional models, MPI-ESM, GFDL-ESM2M, and HadGEM2-ES for the historical period from 1980 to 2010 and for the RCP4.5 scenario from 2020 to 2050 and from 2070 to 2100. Control runs are created by downscaling the European Centre for Medium-Range Weather Forecasts ERA-Interim re-analysis from 1980 to 2014. Two sets of resolutions are made available, 60km and 12km, for a large domain covering the greater region of West Africa from 25W to 25E and 5S to 25N. Summary: This experiment uses the data from the WRF60_eraint_ctrl experiment as forcing data for downscaling to 12km resolution by the regional model, WRFV3.5.1 for the region of West Africa. The 'control'-run is a reanalysis of observed data similar to an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). This experiment is divided into several time slices of 11 years. The first year of each time slice is used as a spin-up phase and should not be used in the analysis. The 12 km resolution of this experiment is the second step of the two step downscaling WRF experiment.
DOI: 10.1594/wdcc/wrf12_gfdlesm_hist
title: WASCAL WRF12km with GFDL-ESM r1i1p1 forcing from the CMIP5 historical experiment

description: Project: West African Science Service Centre on Climate Change and Adapted Land Use - With climate change being one of the most severe challenges to Africa in the 21st century, West Africa is facing an urgent need to develop effective adaptation and mitigation measures. WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use, http://www.wascal.org) is a large-scale research-focused Climate Service Centre designed to help tackle this challenge and thereby enhance the resilience of human and environmental systems to climate change and increased variability. It does so by strengthening the research infrastructure and capacity in West Africa related to climate change and by pooling the expertise of ten West African countries and Germany. Funded by the German Federal Ministry of Education and Research (BMBF), WASCAL is implemented in a collaborative effort by West African and German partners. An integral part of its climate services is the provisioning of a new set of high resolution, ensemble-based regional climate change scenarios for the region of West Africa. An ensemble approach is chosen to address model uncertainties and provide statistical estimates on possible future climate change scenarios. The ensemble is composed of three regional climate models, WRFV3.5.1, COSMO-CLM 4.18, and REGCM4. Three Earth System Models from the CMIP5 project are downscaled by each of the regional models, MPI-ESM, GFDL-ESM2M, and HadGEM2-ES for the historical period from 1980 to 2010 and for the RCP4.5 scenario from 2020 to 2050 and from 2070 to 2100. Control runs are created by downscaling the European Centre for Medium-Range Weather Forecasts ERA-Interim re-analysis from 1980 to 2014. Two sets of resolutions are made available, 60km and 12km, for a large domain covering the greater region of West Africa from 25W to 25E and 5S to 25N. Summary: This experiment uses the data from the WRF60_gfdlesm_historical experiment as forcing data for downscaling to 12 km resolution by the regional model WRFV3.5.1 for the region of West Africa. 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Experiment design:https://cera-www.dkrz.de/WDCC/ui/Entry.jsp?acronym=Taylor_CMIP5_design.pdf . This experiment is divided into several time slices of 11 years. The first year of each time slice is used as a spin-up phase and should not be used in the analysis. All experiments with GFDL forcing refer to a calendar with 365 days (noleap). The 12 km resolution of this experiment is the second step of the two step downscaling WRF experiment.
DOI: 10.1594/wdcc/wrf12_gfdlesm_rcp45
title: WASCAL WRF12km with GFDL-ESM r1i1p1 forcing from the CMIP5 RCP4.5 experiment

description: Project: West African Science Service Centre on Climate Change and Adapted Land Use - With climate change being one of the most severe challenges to Africa in the 21st century, West Africa is facing an urgent need to develop effective adaptation and mitigation measures. WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use, http://www.wascal.org) is a large-scale research-focused Climate Service Centre designed to help tackle this challenge and thereby enhance the resilience of human and environmental systems to climate change and increased variability. It does so by strengthening the research infrastructure and capacity in West Africa related to climate change and by pooling the expertise of ten West African countries and Germany. Funded by the German Federal Ministry of Education and Research (BMBF), WASCAL is implemented in a collaborative effort by West African and German partners. An integral part of its climate services is the provisioning of a new set of high resolution, ensemble-based regional climate change scenarios for the region of West Africa. An ensemble approach is chosen to address model uncertainties and provide statistical estimates on possible future climate change scenarios. The ensemble is composed of three regional climate models, WRFV3.5.1, COSMO-CLM 4.18, and REGCM4. Three Earth System Models from the CMIP5 project are downscaled by each of the regional models, MPI-ESM, GFDL-ESM2M, and HadGEM2-ES for the historical period from 1980 to 2010 and for the RCP4.5 scenario from 2020 to 2050 and from 2070 to 2100. Control runs are created by downscaling the European Centre for Medium-Range Weather Forecasts ERA-Interim re-analysis from 1980 to 2014. Two sets of resolutions are made available, 60km and 12km, for a large domain covering the greater region of West Africa from 25W to 25E and 5S to 25N. Summary: This experiment (2006-2100) uses the data from the WRF60_gfdlesm_rcp45 experiment as forcing data for downscaling to 12 km resolution by the regional model WRFV3.5.1 for the region of West Africa. 'rcp45' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). 4.1 rcp45 (4.1 RCP4.5) - future projection (2006-2300) forced by RCP4.5. Experiment design:https://cera-www.dkrz.de/WDCC/ui/Entry.jsp?acronym=Taylor_CMIP5_design.pdf . This experiment is divided into several time slices of 11 years. The first year of each time slice is used as a spin-up phase and should not be used in the analysis. All experiments with GFDL forcing refer to a calendar with 365 days (noleap). The 12 km resolution of this experiment is the second step of the two step downscaling WRF experiment.
DOI: 10.1594/wdcc/wrf12_hadgem2_hist
title: WASCAL WRF12km with HadGEM2-ES r1i1p1 forcing from the CMIP5 historical experiment

description: Project: West African Science Service Centre on Climate Change and Adapted Land Use - With climate change being one of the most severe challenges to Africa in the 21st century, West Africa is facing an urgent need to develop effective adaptation and mitigation measures. WASCAL (West African Science Service Centre on Climate Change and Adapted Land Use, http://www.wascal.org) is a large-scale research-focused Climate Service Centre designed to help tackle this challenge and thereby enhance the resilience of human and environmental systems to climate change and increased variability. It does so by strengthening the research infrastructure and capacity in West Africa related to climate change and by pooling the expertise of ten West African countries and Germany. Funded by the German Federal Ministry of Education and Research (BMBF), WASCAL is implemented in a collaborative effort by West African and German partners. An integral part of its climate services is the provisioning of a new set of high resolution, ensemble-based regional climate change scenarios for the region of West Africa. An ensemble approach is chosen to address model uncertainties and provide statistical estimates on possible future climate change scenarios. The ensemble is composed of three regional climate models, WRFV3.5.1, COSMO-CLM 4.18, and REGCM4. Three Earth System Models from the CMIP5 project are downscaled by each of the regional models, MPI-ESM, GFDL-ESM2M, and HadGEM2-ES for the historical period from 1980 to 2010 and for the RCP4.5 scenario from 2020 to 2050 and from 2070 to 2100. Control runs are created by downscaling the European Centre for Medium-Range Weather Forecasts ERA-Interim re-analysis from 1980 to 2014. Two sets of resolutions are made available, 60km and 12km, for a large domain covering the greater region of West Africa from 25W to 25E and 5S to 25N. Summary: This experiment uses the data from the WRF60_hadgem2_historical experiment as forcing data for downscaling to 12km resolution by the regional model WRFV3.5.1 for the region of West Africa. 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Experiment design:https://cera-www.dkrz.de/WDCC/ui/Entry.jsp?acronym=Taylor_CMIP5_design.pdf . This experiment is divided into several time slices of 11 years. The first year of each time slice is used as a spin-up phase and should not be used in the analysis. All experiments with HadGEM forcing refer to a calendar with 360 days. The 12 km resolution of this experiment is the second step of the two step downscaling WRF experiment.