45283390b97c4a27861d74b3d915b0bd English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 dataset NERC EDS Centre for Environmental Data Analysis 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-06T02:27:05 UK GEMINI 2.3 WGS 84 Monthly mean climate data from a transient simulation with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) from 2015 to 2070 2022-07-29T08:48:18 publication 2022-07-29T08:48:18 creation https://catalogue.ceda.ac.uk/uuid/45283390b97c4a27861d74b3d915b0bd 45283390b97c4a27861d74b3d915b0bd NERC EDS Centre for Environmental Data Analysis 10.5285/45283390b97c4a27861d74b3d915b0bd doi This dataset comprises monthly mean data from a global, transient simulation with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) from 2015 to 2070. WACCM-X is a global atmosphere model covering altitudes from the surface up to ~500 km, i.e., including the troposphere, stratosphere, mesosphere and thermosphere. WACCM-X version 2.0 (Liu et al., 2018) was used, part of the Community Earth System Model (CESM) release 2.1.0 (http://www.cesm.ucar.edu/models/cesm2) made available by the National Center for Atmospheric Research. The model was run in free-running mode with a horizontal resolution of 1.9 degrees latitude and 2.5 degrees longitude (giving 96 latitude points and 144 longitude points) and 126 vertical levels. Further description of the model and simulation setup is provided by Cnossen (2022) and references therein. A large number of variables is included on standard monthly mean output files on the model grid, while selected variables are also offered interpolated to a constant height grid or vertically integrated in height (details below). Zonal mean and global mean output files are included as well. The data are provided in NetCDF format and file names have the following structure: f.e210.FXHIST.f19_f19.h1a.cam.h0.[YYYY]-[MM][DFT].nc where [YYYY] gives the year with 4 digits, [MM] gives the month (2 digits) and [DFT] specifies the data file type. The following data file types are included: 1) Monthly mean output on the full grid for the full set of variables; [DFT] = 2) Zonal mean monthly mean output for the full set of variables; [DFT] = _zm 3) Global mean monthly mean output for the full set of variables; [DFT] = _gm 4) Height-interpolated/-integrated output on the full grid for selected variables; [DFT] = _ht A cos(latitude) weighting was used when calculating the global means. Data were interpolated to a set of constant heights (61 levels in total) using the Z3GM variable (for variables output on midpoints, with 'lev' as the vertical coordinate) or the Z3GMI variable (for variables output on interfaces, with ilev as the vertical coordinate) stored on the original output files (type 1 above). Interpolation was done separately for each longitude, latitude and time. Mass density (DEN [g/cm3]) was calculated from the M_dens, N2_vmr, O2, and O variables on the original data files before interpolation to constant height levels. The Joule heating power QJ [W/m3] was calculated using Q_J = (sigma_P*B^2)*((u_i - U_n)^2 + (v_i-v_n)^2 + (w_i-w_n)^2) with sigma_P = Pedersen conductivity[S], B = geomagnetic field strength [T], ui, vi, and wi = zonal, meridional, and vertical ion velocities [m/s] and un, vn, and wn = neutral wind velocities [m/s]. QJ was integrated vertically in height (using a 2.5 km height grid spacing rather than the 61 levels on output file type 4) to give the JHH variable on the type 4 data files. The QJOULE variable also given is the Joule heating rate [K/s] at each of the 61 height levels. All data are provided as monthly mean files with one time record per file, giving 672 files for each data file type for the period 2015-2070 (56 years). References: Cnossen, I. (2022), A realistic projection of climate change in the upper atmosphere into the 21st century, in preparation. Liu, H.-L., C.G. Bardeen, B.T. Foster, et al. (2018), Development and validation of the Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM-X 2.0), Journal of Advances in Modeling Earth Systems, 10(2), 381-402, doi:10.1002/2017ms001232. Cnossen, Ingrid Unavailable author Unavailable author NERC EDS Centre for Environmental Data Analysis custodian 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk custodian NERC EDS Centre for Environmental Data Analysis distributor 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor Cnossen, Ingrid Unavailable principal_investigator Unavailable principalInvestigator NERC EDS Centre for Environmental Data Analysis point_of_contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointofContact NERC EDS Centre for Environmental Data Analysis publisher 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk publisher notPlanned dataset Not defined atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. grid English climatologyMeteorologyAtmosphere -180.0 180.0 -90.0 90.0 2015-01-01T00:00:00 2070-12-31T00:00:00 Data are NetCDF formatted. NERC EDS Centre for Environmental Data Analysis Data Center Contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/45283390b97c4a27861d74b3d915b0bd CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/deposited2022/WACCM-X_2015-2070 DOWNLOAD Download Data download https://doi.org/10.1002/2017MS001232 Liu, H.-L., C.G. Bardeen, B.T. Foster, et al. (2018), Development and validation of the Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM-X 2.0), Journal of Ad No further details. information https://doi.org/10.1093/gji/ggv394 Aubert, J. (2015), Geomagnetic forecasts driven by thermal wind dynamics in the Earth's core, Geophysical Journal International, 203 (3), 1738-175, doi: 10.1093/gji/ggv394 No further details. information https://doi.org/10.5194/gmd-10-2247-2017 Matthes, K., B. Funke, M.E. Andersson, L. Barnard, J. Beer, P. Charbonneau, et al. (2017), Solar forcing for CMIP6 (v3.2), Geoscientific Model Development, 10 (6), 2247-2302. doi: 10.5194/gmd-10-2247-2017 No further details. information https://doi.org/10.5194/gmd-9-3461-2016 O'Neill, B. C., C. Tebaldi, D.P. van Vuuren, V. Eyring, P. Friedlingstein, G. Hurtt, et al. (2016), The scenario model intercomparison project (ScenarioMIP) for CMIP6, Geoscientific Model Development, 9 (9), 3461-3482, doi: 10.5194/gmd-9-3461-2016 No further details. information https://doi.org/10.1029/2020JA028623 Cnossen, I. (2020), Analysis and attribution of climate change in the upper atmosphere from 1950 to 2015 simulated by WACCM-X, Journal of Geophysical Research Space Physics, 125, e2020JA028623, doi: 10.1029/2020JA028623 No further details. information https://doi.org/10.1029/2022GL100693 This dataset supports the paper: Cnossen, I. (2022), A realistic projection of climate change in the upper atmosphere into the 21st century, Geophysical Research Letters, 49, e2022GL100693, doi: 10.1029/2022GL100693. No further details. information dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 The data were generated with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) version 2.0 (Liu et al., 2018), part of the Community Earth System Model (CESM) release 2.1.0 (http://www.cesm.ucar.edu/models/cesm2) by Ingrid Cnossen. The WACCM-X simulation was run on the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk) in 2019-2020. Data were then submitted to the CEDA for archival.