A collection of measurements made for the Deep Convective Microphysics Experiment (DCMEX) project. This includes in-situ airborne observations by the FAAM BAE-146 aircraft, cloud images from 2 NCAS cameras deployed at 3 sites in the area during the course of the field campaign and meteorological and aerosol measurements made at two groundbased stations. DCMEX examined the formation and development of clouds over mountains and was based in the Magdalena Mountains, New Mexico area, between July and August 2022. Associated datasets are also available: Timelapse footage of deep convective clouds in New Mexico produced during the DCMEX field campaign https://doi.org/10.5281/zenodo.7756710 DCMEX ground based radar data https://doi.org/10.5281/zenodo.10472266 and, the aircraft ice nucleating particle filter analysis https://doi.org/10.5518/1476

This collection of data comprises an updated version of the European Space Agency (ESA) Water Vapour Climate Change Initiative (Water Vapour_cci) Total Column Water Vapour over land, Climate Data Record 1 (TCWV-land (CDR1)). It comprises four datasets providing daily and monthly averages at 0.5 and 0.05 degree resolution respectively. This is an updated version of the previous v3.1 version of the data which corrects an issue with the filtering of the data.

This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 3: Human influence on the climate system. When using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection. Figure datasets related to this collection: - data for Figure 3.2 - data for Figure 3.3 - data for Figure 3.4 - data for Figure 3.5 - data for Figure 3.6 - data for Figure 3.7 - data for Figure 3.8 - data for Figure 3.9 - data for Figure 3.10 - data for Figure 3.11 - data for Figure 3.12 - data for Figure 3.13 - data for Figure 3.14 - data for Figure 3.15 - data for Figure 3.16 - data for Figure 3.17 - data for Figure 3.18 - data for Figure 3.19 - data for Figure 3.20 - data for Figure 3.21 - data for Figure 3.22 - data for Figure 3.23 - data for Figure 3.24 - data for Figure 3.25 - data for Figure 3.26 - data for Figure 3.27 - input data for Figure 3.27 - data for Figure 3.28 - input data for Figure 3.28 - data for Figure 3.29 - data for Figure 3.30 - data for Figure 3.31 - data for Figure 3.32 - data for Figure 3.33 - data for Figure 3.34 - data for Figure 3.35 - data for Figure 3.36 - data for Figure 3.37 - data for Figure 3.38 - data for Figure 3.39 - data for Figure 3.40 - data for Figure 3.41 - data for Figure 3.42 - data for Figure 3.43 - data for Figure 3.44 - data for Cross-Chapter Box 3.1.1 - data for Cross-Chapter Box 3.2.1 - data for FAQ 3.1, Figure 1 - data for FAQ 3.2., Figure 1 - data for FAQ 3.3, Figure 1

In-situ airborne observations collected during flight 277 on 03 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. Data were collected over the Antarctic Peninsula.

This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water. LST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles. The product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time. Data from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Spinning Enhanced Visible Infra-Red Imager (SEVIRI) on Meteosat Second Generation (MSG) 1, MSG 2, MSG 3, and MSG 4, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1, and MTSAT 2; and polar, Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Sea and Land Surface Temperature Radiometer SLSTR on Sentinel-3A and Sentinel-3B. However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes. Dataset coverage starts on 1st January 2009 and ends on 31st December 2020. LSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface. The dataset was produced by the University of Leicester (UoL) and data were processed in the UoL processing chain. The Geostationary data were produced by the Instituto Português do Mar e da Atmosfera (IPMA) before being merged into the final dataset. The dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.

Dual-polar products from the Met Office's Jersey C-band rain radar, Channel Islands. Data from this site include augmented ldr (linear depolarisation ratio) and zdr (differential reflectivity) scan data (both long and short pulse) available from June 2018 at present. The radar is a C-band (5.3 cm wavelength) radar and data are received by the Nimrod system at 5 minute intervals.

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 Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kruunupyy Kokkola Pietarsaari Lentoasema, Finland. 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: 0-246-0-101662. 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.

PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the "coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project. The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.

The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the "Atmosphere time slice with present day SST and pre-industrial Antarctic SIC" (pdSST-piAntSIC) experiment. These are available at the following frequencies: Amon, EmonZ, SImon and day. The runs included the ensemble members: r100i1p1f2, r101i1p1f2, r102i1p1f2, r103i1p1f2, r104i1p1f2, r105i1p1f2, r106i1p1f2, r107i1p1f2, r108i1p1f2, r109i1p1f2, r10i1p1f2, r110i1p1f2, r111i1p1f2, r112i1p1f2, r113i1p1f2, r114i1p1f2, r115i1p1f2, r116i1p1f2, r117i1p1f2, r118i1p1f2, r119i1p1f2, r11i1p1f2, r120i1p1f2, r121i1p1f2, r122i1p1f2, r123i1p1f2, r124i1p1f2, r125i1p1f2, r126i1p1f2, r127i1p1f2, r128i1p1f2, r129i1p1f2, r12i1p1f2, r130i1p1f2, r131i1p1f2, r132i1p1f2, r133i1p1f2, r134i1p1f2, r135i1p1f2, r136i1p1f2, r137i1p1f2, r138i1p1f2, r139i1p1f2, r13i1p1f2, r140i1p1f2, r141i1p1f2, r142i1p1f2, r143i1p1f2, r144i1p1f2, r145i1p1f2, r146i1p1f2, r147i1p1f2, r148i1p1f2, r149i1p1f2, r14i1p1f2, r150i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r23i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r28i1p1f2, r29i1p1f2, r2i1p1f2, r30i1p1f2, r31i1p1f2, r32i1p1f2, r33i1p1f2, r34i1p1f2, r35i1p1f2, r36i1p1f2, r37i1p1f2, r38i1p1f2, r39i1p1f2, r3i1p1f2, r40i1p1f2, r41i1p1f2, r42i1p1f2, r43i1p1f2, r44i1p1f2, r45i1p1f2, r46i1p1f2, r47i1p1f2, r48i1p1f2, r49i1p1f2, r4i1p1f2, r50i1p1f2, r51i1p1f2, r52i1p1f2, r53i1p1f2, r54i1p1f2, r55i1p1f2, r56i1p1f2, r57i1p1f2, r58i1p1f2, r59i1p1f2, r5i1p1f2, r60i1p1f2, r61i1p1f2, r62i1p1f2, r63i1p1f2, r64i1p1f2, r65i1p1f2, r66i1p1f2, r67i1p1f2, r68i1p1f2, r69i1p1f2, r6i1p1f2, r70i1p1f2, r71i1p1f2, r72i1p1f2, r73i1p1f2, r74i1p1f2, r75i1p1f2, r76i1p1f2, r77i1p1f2, r78i1p1f2, r79i1p1f2, r7i1p1f2, r80i1p1f2, r81i1p1f2, r82i1p1f2, r83i1p1f2, r84i1p1f2, r85i1p1f2, r86i1p1f2, r87i1p1f2, r88i1p1f2, r89i1p1f2, r8i1p1f2, r90i1p1f2, r91i1p1f2, r92i1p1f2, r93i1p1f2, r94i1p1f2, r95i1p1f2, r96i1p1f2, r97i1p1f2, r98i1p1f2, r99i1p1f2 and r9i1p1f2. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.