Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ValCalHyp- Validation of the "Smart Vicarious Calibration" (SVC) method and the Quality Indicators Protocol of Hyperspectral Data (EUFAR10_08) project (flight reference: 2010_301). Data were collected over the Toulouse, France area.

Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Program.

This dataset contains measurements of the water vapour isotope composition of ambient vapour obtained from a water vapour isotope analyzer manufactured by Los Gatos Research (LGR), and from discrete sampling of surface snow and precipitation and subsequent laboratory analysis. The analyzer was installed in the harbour of Húsavik, Iceland. Discrete sampling included precipitation and surface snow from two surface transects in northern Iceland and in several locations in southern Norway. The LGR LWIA analyzer is an off-axis cavity ring-down spectrometer using infrared absorption bands for the retrieval of the water isotope ratios for H216O, H218O, and HDO, quantified as mixing ratio of water vapour (w, ppmv), delta 18-O, and delta-D (permil). The data set for the Húsavik station is accompanied by automatic weather station data (air temperature, relative humidity, wind speed, wind direction, sea-level pressure) from the Icelandic weather service (vedur.is) for several nearby locations. For further details and figures for the vapour measurements, and the surface sample collection during the campaign, and processing thereafter, please read the attached documentation. This research is funded by the Research Council of Norway under the Sources of the Norwegian winter season snow pack constrained by stable water isotopes - SNOWPACE project (Project Nr. 262710) and the Facility for advanced isotopic research and monitoring of weather, climate and biogeochemical cycling (FARLAB) project (Project Nr. 245907).

The Quantifying the Amazon Isoprene Budget: Reconciling Top-down versus Bottom-up Emission Estimates project produced a unique high resolution model (GEOS-Chem version v8-03-01 - with modifications) for the Amazon, which simulated isoprene emissions and atmospheric chemistry. Model outputs associated with Barkley et al. publication is available through CEDA-BADC. An evaluation of a nested high-resolution Goddard Earth Observing System (GEOS)-Chem chemistry transport model simulation of tropospheric chemistry over tropical South America is presented. The model has been constrained with two isoprene emission inventories: (1) the canopy-scale Model of Emissions of Gases and Aerosols from Nature (MEGAN) and (2) a leaf-scale algorithm coupled to the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS) dynamic vegetation model, and the model has been run using two different chemical mechanisms that contain alternative treatments of isoprene photo-oxidation. The publication is: Barkley, M. P., P. I. Palmer, L. Ganzeveld , A. Arneth , D. Hagberg , T. Karl , A. Guenther , F. Paulot , P. Wennberg , J. Mao , T. Kurosu , K. Chance , J.-F. Muller, I. De Smedt , M. Van Roozendael , D. Chen , Y. Wang , R. Yantosca, Can a 'state of the art' chemistry transport model really simulate Amazonian tropospheric chemistry?, J. Geophys. Res., 116, D16302, doi:10.1029/2011JD015893, 2011 This is a NERC funded project.

This dataset contains estimates of turbulent heat and momentum fluxes calculated by applying the eddy covariance technique to the flux-components data product. Estimates are calculated over 15-minute and 30-minute averaging intervals, at two heights on the 15 m tower at Summit Station, Greenland. - ace-flux-1 are the lower level (~2 m above surface) calculations, from a Metek uSonic-3 scientific 3D sonic anemometer and Licor Li-7500 gas analyzer. - ace-flux-2 are the higher level measurements (~14 m above surface), from a Metek uSonic-3 scientific 3D sonic anemometer only (no latent heat flux). Also see the ICECAPS-ACE: surface turbulent heat flux components data product for the high resolution (10 Hz) data used to make these calculations. These data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project. These data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT.

Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flight 20 for South AMerican Biomass Burning Analysis (SAMBBA) project.

Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft during flight 22 for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects.

Data for Figure 3.31 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.31 shows evaluation of historical emission-driven CMIP6 simulations for 1850-2014. --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains: - Observed and simulated change in global mean atmospheric CO2 concentration (1850-2014) - Observed and simulated air surface temperature anomaly (1850-2014) - Observed and simulated change in land carbon uptake (1850-2014) - Observed and simulated change in ocean carbon uptake (1850-2014) --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- panel_a/fig_3_31_panel_a.nc: - dim0 = 0: 'ACCESS-ESM1-5 ', (turquoise solid line), Australian Community Climate and Earth System Simulator - Earth System Model - dim0 = 1: 'CNRM-ESM2-1', (light green solid line), National Centre for Meteorological Research - dim0 = 2: 'CanESM5-CanOE ', (orange solid line), Canadian Earth System Model - Canadian Ocean Ecosystem model - dim0 = 3: 'CanESM5', (dark green solid line). - dim0 = 4: 'MIROC-ES2L', (light purple solid line), Japan Agency for Marine-Earth Science and Technology (JAMSTEC) and Centre for Climate System Research / National Institute for Environmental Studies, Japan. - dim0 = 5: 'MPI-ESM1-2-LR ', (teal solid line), Max Planck Institute Earth System Model - dim0 = 6: 'MRI-ESM2-0', (lime solid line), Meteorological Research Institute of the Japan Meteorological Agency - dim0 = 7: 'NorESM2-LM', (pink solid line), The Norwegian Earth System Model - dim0 = 8: 'UKESM1-0-LL', (dark purple solid line), UK Earth System Model - dim0 = 9: 'MultiModelMean', (red solid line). - dim0 = 10: 'ESRL' (OBS), (black solid line). panel_b/fig_3_31_panel_b.nc - dim0_0 = 0: 'ACCESS-ESM1-5', - dim0_0 = 1: 'ACCESS-ESM1-5_historical'. - dim0_0 = 2: 'CNRM-ESM2-1'. - dim0_0 = 3: 'CNRM-ESM2-1_historical'. - dim0_0 = 4: 'CanESM5-CanOE '. - dim0_0 = 5: 'CanESM5-CanOE_historical'. - dim0_0 = 6: 'CanESM5'. - dim0_0 = 7: 'CanESM5_historical'. - dim0_0 = 8: 'MIROC-ES2L'. - dim0_0 = 9: 'MIROC-ES2L_historical'. - dim0_0 = 10: 'MPI-ESM1-2-LR '. - dim0_0 = 11: 'MPI-ESM1-2-LR_historical '. - dim0_0 = 12: 'MRI-ESM2-0'. - dim0_0 = 13: 'MRI-ESM2-0_historical'. - dim0_0 = 14: 'NorESM2-LM'. - dim0_0 = 15: 'NorESM2-LM_historical'. - dim0_0 = 16: 'UKESM1-0-LL'. - dim0_0 = 17: 'UKESM1-0-LL_historical'. - dim0_0 = 18: 'HadCRUT5' (OBS), Met Office Hadley Centre panel_c/fig_3_31_panel_c.nc - dim0 = 0: 'ACCESS-ESM1-5 '. - dim0 = 1: 'CNRM-ESM2-1'. - dim0 = 2: 'CanESM5-CanOE '. - dim0 = 3: 'CanESM5'. - dim0 = 4: 'MIROC-ES2L'. - dim0 = 5: 'MPI-ESM1-2-LR '. - dim0 = 6: 'MRI-ESM2-0'. - dim0 = 7: 'NorESM2-LM'. - dim0 = 8: 'UKESM1-0-LL'. - dim0 = 9: 'MultiModelMean'. - dim0 = 10: 'GCP' (OBS), Global Carbon Project (GCP) panel_d/fig_3_31_panel_d.nc - dim0 = 0: 'ACCESS-ESM1-5 '. - dim0 = 1: 'CNRM-ESM2-1'. - dim0 = 2: 'CanESM5-CanOE '. - dim0 = 3: 'CanESM5'. - dim0 = 4: 'MIROC-ES2L'. - dim0 = 5: 'MPI-ESM1-2-LR '. - dim0 = 6: 'MRI-ESM2-0'. - dim0 = 7: 'NorESM2-LM'. - dim0 = 8: 'UKESM1-0-LL'. - dim0 = 9: 'MultiModelMean'. - dim0 = 10: 'GCP' (OBS). Labels and colors for all figures are the same as for panel a. Historical values in panel b are plotted with the same colors as the corresponding simulation, but using dotted lines. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component containing the figure (Chapter 3) - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo - Link to the figure on the IPCC AR6 website

Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at St Etienne, France. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07475. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.

Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for GERBIL - GERB Intercomparison of Longwave Radiation project.