Objective
Problems to be solved
Changes in atmospheric composition are important in the context of stratospheric ozone depletion, global change and related environmental problems. The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), which is a core instrument of the Envisat polar platform to be launched in 2001 by the European Space Agency (ESA), is a powerful tool to measure vertical profiles of trace species on a global scale. While operational data processing by ESA covers only analysis of pressure, temperature, and the mixing ratios of the species O3, H2O, HNO3, CH4, and N2O, MIPAS infrared spectral limb emission measurements contain information on a bulk of further species relevant to environmental problems mentioned above. The goal of AMIL2DA is to generate data analysis tools for these supplemental species along with thorough validation of these algorithms.
Scientific objectives and approach
Instead of merging the contributions of all participants to one data analysis algorithm which fits all purposes, the AMIL2DA strategy is to maintain the diversity of different computer codes by each group which are custom-tailored to their specific scientific needs. Generally, data analysis consists of forward modelling of radiance spectra and inversion of measurement data. As a first step, forward radiative transfer algorithms and retrieval processors are adapted to the physical and computational needs of the MIPAS experiment. This includes adaptation to high resolution limb emission measurements, acceleration of numerical methods, and automated provision of input data as well as generation of spectroscopic line data not included in the current databases but presumably important to MIPAS applications. In a second step, these codes are cross-validated by a blind-test intercomparison that is supposed to reveal potential weaknesses of assessed computer models. In particular the relevance of breakdown of thermodynamic equilibrium in the atmosphere is emphasized. After successful cross-validation of forward radiative transfer models and subsequent upgrading, these are operated in the context of an inversion computer code, which infers atmospheric constituent abundances from measured spectra. For purpose of cross-validation, different inversion algorithms are applied to a common set of synthetic measurement data in a blind-test mode. After upgrading the inversion models and fine-tuning of processing parameters, a common agreed set of real MIPAS measurements is used for further testing. Residuals between measured and best-fitting modelled spectra are analysed for systematic patterns. Emphasis is put on candidate explanations such as inappropriate predictions on instrument characteristics; different use of initial guess and a priori data; over- or under-regularization of the retrieval, and possible deficiencies in spectroscopic data. As an external reference, GOMOS, SCIAMACHY, and other data are used for validation purposes. The advantage of GOMOS and SCIAMACHY is that non-local thermodynamic equilibrium is not an issue.
Expected impacts
These activities are the basis to better exploit existing MIPAS data by inferring vertical profiles of species relevant to ozone destruction and global change. Deficiencies in forward radiative transfer as well as inversion algorithms are detected and removed, and confidence in retrieval strategies and data products is strengthened. Completeness and appropriateness of physical effects included in the involved radiative transfer models is proved. Standardization of data products is gained while the diversity of data analysis strategies used by different European groups is to be maintained. The basis for a sound scientific analysis of MIPAS data is provided.
i) Standard protocols and boundary conditions for ocean models imulations, including those for carbon (preindustrial state, modern and future perturbations, purposeful ocean sequestration) and ocean circulation tracers (CFC-11, CFC-12, C-14, He-3).
ii) Standard output from 13 models (7 within Europe), archived in a hierarchical database (about 50 Gbytes) and available to the community.
iii) Analysis and visualization software, the GOSAC Global Analysis Package(GAP), developed for this project. Unlike other analysis software GAP treats output on irregular and unstructured grids, now commonplace amongst ocean models.
iv) The Web page for OCMIP/GOSAC continues to provide general information, the detailed protocol "HOWTO" documents, the GAP analysis software, results and publications, and the archive of messages to theGOSAC/OCMIP-2 mailing list. These remain as GOSAC's legacy.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences databases
- natural sciences earth and related environmental sciences environmental sciences ozone depletion
- natural sciences computer and information sciences data science data processing
- natural sciences mathematics applied mathematics numerical analysis
You need to log in or register to use this function
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
76131 KARLSRUHE
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.