Welcome to AMiDA

The Atmospheric Mission Data Packaging service

UC 1

UC 2

UC 3

UC 4

UC 5

AMiDA, a service for advanced packaging of atmospheric science data products, supports effective access, management, analysis and exploitation of model, observational and in-situ data, including heritage, current, and future missions and initiatives.

AMiDA, a project funded by the ESA as part of the GSTP programme, has the objective to develop and demonstrate the technologies for implementing and deploying an infrastructure to foster the joint usability of different and heterogeneous atmospheric datasets. This is a highly relevant aspect in Atmospheric Sciences, where a large variety of data in terms of sensing method, time, geometry, resolution, format and dimensionality usually prevents the combined use of various datasets.

AMiDA builds on the input from users for demonstration purposes. The following five use cases are part of the AMiDA project:

UC1 - Satellite-based aerosol intercomparison

Use Case 1 Image

GRASP (Generalized Retrievals of Aerosol and Surface Properties) is a versatile algorithm to retrieve aerosol and surface properties from a wide variety of satellites, airborne and surface measurements. Scope of UC1 is to inter-compare aerosol products of various sensors retrieved using the GRASP algorithm as well as readily available L2 aerosol products. This allows identifying problematic geographic regions or aerosol situations where the configuration or setup is suboptimal and needs to be improved.
UC1 will be performed by CATALYSTS. The use case will prove that data from multiple satellites and several processing centers can easily be explotited at the same time.

UC2 - UV radiation monitoring with ground measurements and satellite data

Use Case 2 Image

Ultraviolet (UV) radiation data will be retrieved and compared using different ground- and satellite-based measurements as well as model output. Scope of UC2 is to use the platform to incorporate available data into the workflow of generating UV maps.
UC2 will be performed by the Medical University Innsbruck, which will make available UV ground measurements from 2012 - 2017 (30' resolution) from 13 measuring stations for this project. While UV radiation data are highly relevant for the general public, they can also be used to validate UV products from satellites.

UC3 - Satellite to ground instrument comparison of NO2 total columns

Use Case 3 Image

Pandoras are spectrometers and part of the Pandonia network, measuring amounts of trace gas in the atmosphere for air quality monitoring and Earth Observation satellite validation. The current operational data products are total columns of ozone (O3) and nitrogen dioxide (NO2). Total O3 and NO2 colums from 5 Pandoras will be visualized in the platform together with OMI and TROPOMI satellite retrievals, for the scope of comparing the different datasets.
UC3 will be performed by LuftBlick. Scope of UC3 is the synergistic use of multiple complementary data sets to support satellite validation, utilizing a virtual research environment (VRE).

UC4 - Data assimilation of satellite-based aerosol products: Evaluation of WRF-Chem analyses

Use Case 4 Image

WRF-Chem analyses and forecasts will be evaluated by using a large set of comparison datasets from observations (satellites and ground-based measurements) and (other) models.
UC 4, performed by ZAMG, focuses on a Saharan dust event. For the proposed use case, a relevant dust episode will be chosen to test the AMiDA system with the inclusion and analysis of different observational and modelling data sets. A large number of datasets from different data providers will be used, showing that AMiDA is not only of high value for the satellite community but for the modeling community.

UC5 - Synergistic aerosol retrieval from satellite

Use Case 5 Image

The scope of UC5 is to create a synergistic aerosol product from different input data sources (i.e. sensor data). L1c satellite data from OLCI and SLSTR will be merged and used to retrieve a combined L2 aerosol product. The expected results are the retrieval of more parameters with higher spatio-temporal resolution (than compared to conventional approaches).
UC5 will be performed by CATALYSTS. The final L2 product generated within UC5 will be evaluated in UC1 using data from multiple satellites and several processing centers. UC1 and UC5 will prove that the data platform is very useful for experts who develop remote sensing algorithms.