1. Introduction

1.1. Project Background

In 2009, ESA, the European Space Agency, has launched the Climate Change Initiative (CCI), a programme to respond the need for climate-quality satellite data as expressed by GCOS, the Global Climate Observing System that supports the UNFCCC, the United Nations Framework Convention on Climate Change.

In the ESA CCI programme 14 Essential Climate Variables (ECV) are produced by individual expert teams, and cross-cutting activities provide coordination, harmonisation and support. The CCI Toolbox and the CCI Open Data Portal are the two main technical support projects within the programme. The CCI Open Data Portal will provide a single point of harmonised access to a subset of mature and validated ECV-related data products. The CCI Toolbox will provide tools that support visualisation, analysis and processing across CCI and other climate data products. With these two technical cross cutting activities ESA is providing an interface between its CCI projects and the ECVs generated there, and the wider climate change user community (see following Fig. 1.1).


Fig. 1.1 CCI Toolbox context

1.2. Key Objectives

In this context the four key objectives of the CCI Toolbox are:

  • Provide to climate users an intuitive software application that is capable of ingesting data from all CCI projects and synergistically use this data in a uniform tooling environment. This requires the application to abstract from the various data types used to represent the different ECVs (vector data, n-D raster data), and from data formats used (NetCDF, Shapefiles), and also from various data sources (remote services, local files). A Common Data Model (CDM) shall be developed and utilised that can represent all data of all ECVs and make it available to a variety of algorithms and converters to different representations.
  • Provide to users a rich set of data processing operations that implement commonly used climate algorithms and which operate solely on the CDM. A processor may generate a new CDM instance as output which again is independent from any particular external representation. Processors that use a CDM as input and output can be used to build processing chains that represent typical climate workflows.
  • Provide to users various visualisation and analysis operations. Again, these functions will solely operate on the CDM. The majority of visualisation and analysis functions will be applicable to multiple ECVs (e.g. 3D visualisations) while other may only work if the CDM fulfils certain constraints (e.g. profile data). Some of these functions may generate a new or enrich an existing CDM instance and thus be implemented as processors and be used in processing chains.
  • Design the architecture of the CCI Toolbox so that it can be extended by new climate operations and that it also allows for reuse of existing or planned software tools and libraries. Furthermore allow other scientists and tool developers to use the underlying CCI Toolbox algorithms and libraries in their own programs. Scientists are used to stay with their preferred programming language, so ideally the CCI Toolbox shall offer application programming interfaces (API) for programming languages commonly used in climate science such as Python and R, C and FORTRAN.