cddfe3093be247d7bac56c9fa9edb3d5 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 dataset Centre for Environmental Data Analysis (CEDA) 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-10T02:15:45 UK GEMINI 2.3 WGS 84 Identification and classification of Cirrus (IC-CIR): A cirrus classification based on satellite and reanalysis data (2003-2013) 2018-03-16T16:35:32 publication 2018-03-16T16:35:32 creation https://catalogue.ceda.ac.uk/uuid/cddfe3093be247d7bac56c9fa9edb3d5 cddfe3093be247d7bac56c9fa9edb3d5 Centre for Environmental Data Analysis (CEDA) http://dx.doi.org/10.5285/cddfe3093be247d7bac56c9fa9edb3d5 doi Cirrus clouds play an important role in determining the radiation budget of the earth, but many of their properties remain uncertain, particularly their response to aerosol variations and to warming. Part of the reason for this uncertainty is the dependence of cirrus cloud properties on the cloud formation mechanism, which itself is strongly dependent on the local meteorological conditions. This classification system is designed to identify cirrus clouds by the cloud formation mechanism. Using re-analysis and satellite data, cirrus clouds are separated in four main types: orographic, frontal, convective and synoptic. Comparisons with convection-permitting model simulations and back-trajectory based analysis have shown that this classification can provide useful information on the cloud scale updraughts and the frequency of occurrence of liquid-origin ice, with the convective regime having higher updraughts and a greater occurrence of liquid-origin ice compared to the synoptic regimes (see description paper). This classification is designed to be easily implemented in global climate models - the observational classification results are made available make this comparison easier. The classification has been generated globally for the years 2003-2013 inclusive. Making use of the moderate resolution imaging spectrometer (MODIS) on-board the Aqua satellite, the classification exists only at 13:30 local solar time each day. The regimes used within this classification are defined as follows (further details are given in the description paper) Orographic - proximity to regions of large-scale topography variation Frontal - satellite detected cirrus clouds that intersect to atmospheric fronts determined from reanalysis data Convective - satellite detected cirrus clouds in regions of large scale ascent determined from reanalysis data Synoptic - Not assigned as one of the other regimes. Data are gridded NetCDF V4 files, provided on a regular longitude-latitude grid at a 1 by 1 degree resolution across the whole globe. The files provide the classification at 13:30 local solar time (the satellite overpass time) and are at a daily resolution, within a folder defining the year. The filename structure is: {year}/IC-CIR.{year}.{day_of_year}.v1.nc where {year} is the year of the data and {doy of year} starts with 001 on the first of January. Further details about the data, including comparisons to convection-resolving model simulations can be found in the description paper (Gryspeerdt et al., ACP, 2018). Gryspeerdt, Edward Unavailable author Unavailable author Quaas, Johannes Unavailable author Unavailable author Goren, Tom Unavailable author Unavailable author Klocke, Daniel Unavailable author Unavailable author Brueck, Matthias Unavailable author Unavailable author Centre for Environmental Data Analysis (CEDA) custodian 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk custodian Centre for Environmental Data Analysis (CEDA) distributor 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor Centre for Environmental Data Analysis (CEDA) point_of_contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointofContact Centre for Environmental Data Analysis (CEDA) publisher 01235446432 Rutherford Appleton Laboratory Harwell Oxon 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 2003-01-01T00:00:00 2013-12-31T00:00:00 NetCDF Centre for Environmental Data Analysis (CEDA) Data Center Contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/cddfe3093be247d7bac56c9fa9edb3d5 CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/deposited2018/ic-cir/data DOWNLOAD Download Data download https://doi.org/10.5194/acp-2017-723 Gryspeerdt, E., Quaas, J., Goren, T., Klocke, D., and Brueck, M.: An automated cirrus classification, Atmos. Chem. Phys., accepted, 2018. 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 This classification is derived using data from the moderate resolution imaging spectrometer (MODIS) on-board the Aqua satellite and from the ERA-Interim Reanalysis, created by ECMWF. The MODIS data used is collection 6 of the 1 by 1 degree gridded daily product (MYD08_D3), originating from the NASA Goddard Space Flight Center.