CEDA
Sample Image
No further details.
Public data: access to these data is available to both registered and non-registered users. http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
ESA CCI Cloud project website
ESA Climate Change Initiative website
<gml:Envelope srsName="http://www.opengis.net/def/crs/OGC/1.3/CRS84"><gml:lowerCorner>-180.0 -90.0</gml:lowerCorner><gml:upperCorner>180.0 90.0</gml:upperCorner></gml:Envelope>
Product User Guide
ESA Cloud CCI Dataset Description CC4CL cloud properties
CEDA Data Catalogue Page
Detail and access information for the resource
Aqua/V002 - No further details.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_cloud_terms_and_conditions_v2.pdf, 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.
ESA Cloud Climate Change Initiative (Cloud_cci): MODIS-AQUA monthly gridded cloud properties, version 2.0
The Cloud_cci MODIS-Aqua dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on MODIS (onboard Aqua) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci MODIS-Aqua dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures.