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Introduction

Complete Data Fusion (CDF) is a statistical method designed to optimally combine multiple independent atmospheric profile retrievals into a single, consistent, and information-rich product. It is particularly suited for satellite remote sensing applications, where for example different instruments provide complementary measurements of the same geophysical quantity (e.g., ozone, temperature, trace gases).

Within the EMM (Earth Moon Mars) research infrastructure, the CDF enables advanced scientific studies based on real atmospheric data. EMM provides the necessary computational resources, specialized software tools, and expert knowledge to support the application of CDF to develop  optimized and multi-instrument satellite observations. 

Possible CDF usages

News

Tested Datasets
Tested Datasets
April 10, 2026
The Tested Datasets section of this website has been updated. It collects the atmospheric retrieval products for which the Complete Data Fusion (CDF) ...
Pushing Atmospheric Remote Sensing Forward: Extending Complete Data Fusion to Tomographic Retrievals
Pushing Atmospheric Remote Sensing Forward: Extending Complete Data Fusion to Tomographic Retrievals
February 17, 2026
Satellite remote sensing has revolutionized our understanding of Earth’s atmosphere, but merging data from different instruments—each wi...
A New Ozone Dataset to Understand Stratospheric Intrusions: Inside the Latest AMT Publication
A New Ozone Dataset to Understand Stratospheric Intrusions: Inside the Latest AMT Publication
February 17, 2026
Monitoring the Earth’s ozone layer—especially in the complex region where the upper troposphere meets the lower stratosphere (UTLS)—remai...