EGU Vienna, 25.04.2011 [email protected]www.esa-cloud- cci.org Matthias Jerg on behalf of Cloud CCI Deutscher Wetterdienst The ESA Cloud CCI project Generation of Multi Sensor consistent Cloud Properties with an Optimal Estimation based Retrieval Algorithm
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EGU Vienna, [email protected] Matthias Jerg on behalf of Cloud CCI Deutscher Wetterdienst The ESA Cloud CCI project.
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Trenberth, K. E., 2009: An imperative for adapting to climate change: Tracking Earth’s global energy. Current Opinion in Environmental Sustainability, 1, 19-27. DOI 10.1016/j.cosust.2009.06.001.
The ultimate objective 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.
• The generation of two consistent global data sets for cloud property including uncertainty estimates based on intercalibrated radiances from:
1) AVHRR heritage measurements of MODIS, AATSR, AVHRR2) Combined AATSR + MERISmeasurements with GCOSrequirements in mind for 2007-2009.
• Development of a coherent physicalretrieval framework for cloud propertiesas an open community retrieval framework,publicly available and usable by all scientists.
• Produce multi-year multi-instrument time series.
• ORAC selected based on retrieval performance and potential of optimal estimation (OE) for further development:
• Main OE advantageous features: • Consistency (sensors, channels)• Simultaneity (state space parameters)• Uncertainty (derived for state space parameters)• Flexibility (additional sensors, number of channels,
information content)• Main development points presently:
• Validation for L2 and L3 data using tools used for RR.
• References: Ground based (ARM,Cloudnet,synop) and Spaceborne (CALIOP,CPR,AMSRE,AVHRR,TMI,MODIS,MERIS,SEVIRI,ATOVS,AIRS,IASI) as well as established climatologies (ICCP,PATMOSX,CM-SAF).
Summary and Outlook• ESA Cloud CCI will produce two datasets spanning 2007-2009
exploiting synergistic capabilities of different sensors.
• Optimal Estimation technique employed improving homogeneity and stability of time series.
• Second Phase of CCI 2013+:further retrieval development and processing of the full AATSR, AVHRR and MODIS time series.
Additional project components start soon:• Validation over mountaneous and polar areas (Meteo Swiss)• Advanced Cloud Screening for AATSR-MERIS (Univ. Valencia)• Cloud detection under presence of aerosol with Bayesian approach.(OU,RAL,DWD)•1D Var for SSMI to produce LWP dataset for CCI validation (DWD)