The ESA Cloud_cci Project [2011-06-09]
The ultimate objective of Cloud CCI is to provide long-term coherent cloud property data sets exploiting the synergic capabilities of different Earth observation missions allowing for improved accuracies and enhanced temporal and spatial sampling better than those provided by the single sources.
This project seeks to utilize the increasing potential of the synergic capabilities of past, existing and upcoming European and US missions in order to meet the increasing needs for coherent long-term cloud property datasets required by the scientific community.
Read the Project Executive Summary for more information
Release of Cloud_cci Newsletter issue 6 [2016-07-08]
The sixth Cloud_cci newsletter was released and is availale for download. It completes the newsletter series of project phase 1 of Cloud_cci and provides an overview of the current project status, background of product features and specifications as well as an overview of latest results and validation efforts.
See all Cloud_cci documentation here
The transition from project phase 1 to 2 - From prototype data to long-term climate datasets [2014-01-14]
The ESA Cloud_cci project started in 2010 along with 12 other CCI projects covering atmospheric, oceanic and terrestrial ECV data products (Hollmann et al. 2013). The main goal is the generation of satellite-based climate data records (CDRs) that meet the challenging requirements of the Global Climate Observing System (GCOS 2011).
In phase 2 (2014 - 2016) Cloud_cci is aimed at the generation of 2 multi-decadal coherent global data sets (see Figure below) for GCOS cloud property ECVs including uncertainty estimates based on inter-calibrated radiances from:
- AVHRR/MODIS/(A)ATSR time series from 1982 to 2014 and
- MERIS/AATSR time series from 2002 to 2012, which will be extended by OLCI/SLSTR on-board Sentinel-3.
In phase 1 (2010 - 2013) prototype algorithms (CC4CL and FAME-C) were developed and 2007 - 2009 time series of both data sets ("demonstrator") were processed.
Figure 2 Overview of Cloud_cci datasets and the time periods they cover.